Food  for  the  Hungry-­‐ Mozambique P.  L.  480  TITLE  II Multi-­‐Year  Assistance  Program Final  Evaluation Submitted  by  Marcus  L.  Catsam On  behalf  of  Marcus  Catsam  Consulting  LLC Final  Draft-­‐ July  9,  2013 Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 1 Table  of  Contents Abbreviations  and  Acronyms..........................................................................................................2 Executive  Summary………………………………………………………………………………………………………………………3 I.  Introduction……………………………………………….………………………………………………………………………………6 II.  Overview………………………………………………………………………………………………….………………..……………..6 A. Overview  of  Food  Security  Situation  in  Mozambique………………………………………..…………………..6 B. Overview  of  the  FH  MYAP  In  Cabo  Delgado…..………………………………………………..…………………….7 III.  Evaluation  Methodology…..………………………………………………………………………………………………………7 A. Sampling…………………………………………………………..…………………………………………………………………..7 B. Data  Collection  Instruments  and  Process……..……………………………………………………………………….8 C. Data  Quality,  Processing  and  Analysis……………………………………………………………………………………9 IV.  Constraints  and  Limitations…………………………………………………………………………………………………….10 V.  Findings….………………………………………………………………………………………………………………….……………12 A. Strategic  Objective  1  (Agriculture)……………………………………………………………………………………….12 B. Summary  of  Baseline  and  Final  Agricultural  Indicator  Values  for  SO1…………………….…………….21 A. Strategic  Objective  2  (Health)………………………………………………………………………………………………24 B. Summary  of  Baseline  and  Final  Health  Indicator  Values  for  SO2…………………………………………..31 A. Strategic  Objective  3  (Community  Capacity  Building)…………………………………………………………..34 B. Summary  of  Baseline  and  Final  CCB  Indicator  Values  for  SO3……………………………………………….38 VI.  Conclusions  and  Recommendations………………………………………………………………………………………..39 A. Program  Strengths……………………………………………………………………………………………………………….39 B. Program  Challenges……………………………………………………………………………………………………………..40 C. Recommendations……………………………………………………………………………………………………………….41 VII.  Resources  Consulted.…………………………………………………………………………………………………………….43 Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 2 Abbreviations  and  Acronyms AIDS Acquired  Immune  Deficiency  Syndrome CCB Community  Capacity  Building CDC Community  Development  Committee CG Care  Groups CSPro Census  and  Survey  Processing  System DHS Demographic  and  Health  Survey EHA Essential  Hygiene  Actions ENA Essential  Nutrition  Actions EWS Early  Warning  Systems FANTA Food  and  Nutrition  Technical  Assistance FFLG Farmer  Field  and  Life  Groups FGD Focus  Group  Discussions FH Food  for  the  Hungry FFP USAID  Office  of  Food  for  Peace FY Fiscal  Year Ha Hectares HDI Human  Development  Index HH Households HIV Human  immunodeficiency  virus IPTT Indicator  Performance  Tracking  Table IR Intermediate  Results ITN Insecticide  treated  bed  net JAM Joint  Aid  Management Kg Kilograms KPC Knowledge,  Practice  and  Coverage KSI Key  Stakeholder  Interviews LCL Lower  Confidence  Level LQAS Lot  Quality  Assurance  Sampling M&E Monitoring  and  Evaluation MoA Ministry  of  Agriculture MoH Ministry  of  Health Mtz Mozambican  Meticais MYAP Multi  Year  Assistance  Program ORS Oral  rehydration  salts PPS Probability  Proportional to  Size PSO Program  Support  Officer SO Strategic  Objective SPSS IBM  SPSS  Statistics ToR Terms  of  Reference UCL Upper  Confidence  Level USAID United  States  Agency  for  International  Development VSLA Village  Savings  and  Loan  Associations WHO World  Health  Organization Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 3 Executive  Summary Background Over   the  past   two  decades,  Mozambique  has  struggled   to  achieve  economic  and  social  stability.  Among   the  poorest  provinces,  Cabo  Delgado   falls  behind  all  other  provinces  on  almost  every  indicator  of  social   and   economic   development.     In   addition   to   low   income   and   underdevelopment,   Cabo   Delgado   has   extremely  high  rates  of  food  insecurity  that  impedes  individual  and  collective  human  development.     Infertile,  sandy  soils  in  the  province  lead  to  low  agricultural  productivity,  while  a  short  agricultural  season   creates   an   extended   hungry   period.     At   the   same   time   a   lack   of   crop   diversity   creates   significant   vulnerability   to   pest   infestations,   drought,   and   other   shocks.     Low   household   purchasing   power   results   from  limited  production  of  cash  crops  and  poor  market  access  exacerbated  by  poor  infrastructure.  Low   literacy   levels   and   language   and   cultural   marginalization   compound   these   factors,   impeding   vulnerable   populations  from  engaging  in  income-­‐generating  activities.    Cassava,  the  staple  food  crop,  lacks  the  caloric   content   and   nutrient   density   to   meet   the   nutritional   needs   of   pregnant   and   lactating   women,   and   children   under   five   years   of   age,   while   limited   knowledge   of   optimal   nutrition,   health   and   hygiene   practices  undermine  maternal  and  child  health.    As  a  result  of  these  factors,  more  than  half  of  all  children   under  five  in  the  province  suffer  from  chronic  malnutrition  and  over  thirty  percent  are  underweight. To  address  these  challenges  Food  for  Hungry  (FH)  in  Mozambique  has  implemented  a  five-­‐year  Multi  Year   Assistance  Program  (MYAP)  with  funding  support  from  USAID’s  Office  of  Food  for  Peace.    The  MYAP  was   initially  proposed   for  a   three-­‐year  period  and  was   subsequently  extended   to   five  years   through  no-­‐cost   extensions.    Through  the  MYAP  FH  sought  to:  (1)  improve  the  health  and  nutritional  status  of  children  0-­‐5   years  of  age;  (2)  to  increase  agricultural  productivity  and  strengthen  agricultural  value  chains;  and  (3)  to   increase   community   resiliency   to   shocks   for   31,577   households   (HH)   across   the   districts   of   Nangade,   Mocimboa  da  Praia,  and  Palma. In  March  2013  FH  hired  the  services  of  a  consultant  to  lead  a  final  evaluation  of  the  MYAP  to  assess  the   degree   of   achievement   of proposed   outcomes   and   impacts;   to   document   constraints,   lessons   learned,   and  successes  derived   from   the  program;  and to  assess   the   relevance  of   the  program’s  implementation   strategies   and   approach.   The   evaluation   did   not   include   an   anthropometric   study;   that   study   will   be   completed  as  a  separate  exercise  between  October  and  November  2013. Evaluation  methodology The   final   evaluation   was   conducted   using   a  mixed  methodology.     This   included   a   population-­‐based   HH   survey   and   qualitative   research   consisting   of   focus   group   discussions   (FGD),   key   stakeholder   interviews   (KSI)  and  systematic  observations  at   the  HH  level.    For   the  HH  survey  a  multi-­‐stage,  30-­‐cluster  sampling   design  was  used  in  line  with  the  methodology  used  in  the  baseline  survey.  Thirty  clusters  were selected   for  data  collection  from  among  the  total  number  of  MYAP  intervention  communities  through  systematic   sampling using  probability-­‐proportional-­‐to-­‐size  (PPS).  Parallel  sampling  was  used  to  conduct  both  health   and  agriculture  interviews  at  the  HH  level. Three  data  collection   teams  were   formed   from  FH   staff,  each  consisting  of  one  Team  Leader,   two  Data   Collection   Supervisors   and   eight   Enumerators.     Each   team   was   assigned   to   a   project   district   based   on   language   and   cultural   considerations.     Teams   were   trained   on   data   collection   processes   and   protocols   over   four   days,   and   data   collection   was   subsequently   completed   over   nine   days   between   March   and   March  27,  2013.    A  total  of  407  health  surveys,  333  agriculture  surveys,  eight  Focus  Group  Discussions,  six   Key  Stakeholder  Interviews  and  72  systematic  observations  were  completed. A  team  of  data  entry  clerks  was  trained  to  enter  quantitative  data  into  the  US  government’s  open  source   Census   and   Survey   Processing   System   (CSPro   5.0)   software   with   a   user-­‐friendly   data   template   that   mirrored  the  questionnaire  to  reduce  error.    Data  entry  was  completed  simultaneous  to  data  collection.     Initial  data   cleaning  and   verification  and   preliminary   quantitative  analysis  were   conducted   using   CSPro.   Final   quantitative   analysis   of   baseline   and   final   evaluation   data   was   conducted   in   SPSS   21.0.     Relevant   proportions   and   means   were   generated   for   each   indicator   and   t-­‐tests   were   conducted   to   test   the   significance  of  differences  in  indicator values  between  the  baseline  and  final  evaluations.    The  p  values  of   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 4 each   of   the   findings   were   subsequently   verified   using   an   Indicator   Confidence   Interval   Calculation   Worksheet  provided  by  FH.    Qualitative  data  was  analyzed  using  simple   trend  analysis  and  observations   from   the   infrastructure   checklists   were   tabulated   and   processed   in   Excel.     Analysis   resulting   from   the   quantitative  and   qualitative   data  was   used   to   develop  a   final  evaluation   report   draft   for  which  FH   staff   provided  feedback.    That  feedback  was  incorporated  into  this  final  report.   Findings Of   the   16   indicators   measured   under   the   agriculture component,   15   of   them   experienced   increases   between   the  baseline  and   final  evaluations.    Four  indicator  values   fell  below  program   targets,  while   the   rest  met  or  exceeded  target  values. Both   respondent   farmers   and   FH   staff   confirmed   through   qualitative   discussions   that   productivity   has   increased   in   participant   fields   and   the   consistent   productivity   growth   demonstrated   through   the   program’s   Annual   Agriculture   Surveys   supports   these   assertions.     Farmers   from   the   program’s   Farmer   Field   and   Life   Groups   (FFLG)   believe   that   the   technologies   that   FH   introduced   played   a   role   in   these   productivity  increases.    They  also  expressed  a  high  degree  of  satisfaction  and  confidence  with  the  FFLG  as   a  sustainable  means  to  transmit  technical  assistance  messages  and  support  replication  of  best  practices.     FFLG   members   continue   to   meet   even   in   the   absence   of   FH   staff.     Given   the   staffing   and   resource   constraints   of   the   Ministry   of   Agriculture,   this   is   an   important   gain   that can   serve   as   a   foundation   for   continued  farmer-­‐to-­‐farmer  based  agricultural  extension  support  in  the  future.   Market  links  and  economic  opportunities  have  also  increased  as  a  result  of  the  program.    While  there  has   been  no  significant  change  in   the  percent  of  HH  producing  cash  crops,  60%  of   those  who  produce  cash   crops  sell  a  portion  of  those  crops  either  collectively  or  individually  at  local  markets,  resulting  in  at  least   $85,000   in   additional   income.   The   program’s   marketing   activities   could   have   been   strengthened   by   providing  training  and  mentoring  to  farmers  in  market  analysis,  negotiation,  value  addition  or  processing,   and  by  strengthening  linked  businesses  to  ensure  integral  and  strong  value  chains.   Engagement  with  VSLAs  has  also  provided  an  opportunity   for  at  least  3,550  men  and  women  to  engage   with   financial   services,   albeit   informal   and   likely   for   the   first   time.     They   have   saved   over   $200,000   collectively,  earned  $44,500  on  those  savings  through  interest  income  and  provided  much  needed  capital   to local  entrepreneurs  and  individuals.    It  might  be  worth  exploring  whether  the  flexibility  of  the  current   VSLA   modality-­‐ allowing   participants   to   save   if   they   want   to-­‐ may   keep   VSLAs   from   reaching   their   full   potential  as  a  consumption  smoothing  and  vulnerability  reduction  mechanism.   Of   the   12   health   indicators   included   in   the   IPTT   9   of   them   (75%)   experienced   statistically   significant   changes   in   values   between   the   baseline   and   final   evaluations.     Although   indicator   values   fell   below   program  targets,  most  of  the  behavior  change  targets  may  have  been  unrealistically  ambitious,  especially   given  that  key  changes  were  expected  during  a  shortened  Care  Group  cycle.   Among  essential  nutrition  actions,  breastfeeding  behaviors  showed  marked  improvement,  both  in  terms   of   early   initiation   and   exclusive   breastfeeding   of   infants   0-­‐ 6   months   old.     The   percent   of   children   exclusively  breastfed  in  MYAP  project  areas  now  exceeds   the  national  average  by  almost  35  percentage   points.  Likewise,  values   for  “adequate”  complementary   feeding   (minimum  dietary  diversity  and  number   of  meals)   improved   by   25   percentage   points   during   the   project.     These   values-­‐ previously   substantially   lower  than  the  national  average-­‐ are  now  above  that  average  by  approximately  10  percentage  points. The   percentage   of   caretakers   who   can   name   three   signs   of   childhood   illness   and   three   methods   to   prevent  HIV  infection  have  both  increased  significantly  during  the  program.  Reported  malaria  prevention   has   improved   thanks   to   high   adoption   of   ITNs,   at   approximately   90%   of   all   caregivers   interviewed,   representing  a   rate  of  ITN  use   that  is  40  percentage  points  higher   than   the  national  average.  There  has   also  been  a  statistically  significant  decrease  in  reported  cases  of  diarrhea.   Most   indicator   values   related   to   water,   sanitation   and   hygiene   have   all   seen   statistically   significant   increases  over  baseline  levels  as  well.    Caretaker  access   to  improved  water  sources  has  nearly  doubled,   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 5 and   reported  personal  hygiene  behavior  has  improved  by  approximately   40  percentage  points  over   the   baseline.    More  families  have  soap  and  water  available  to  them  and  significantly  more  caretakers  report   washing   hands  at  all   the   necessary   times.  There   has   been  an  increase   of  almost   40%  in   proper  excreta   disposal,  although  observations  of  HH  latrines  suggest  that  hygiene  indicator  values  could  improve  further   through   refresher   training  on  proper  HH  latrine  maintenance  and  care.    The  vast  majority  of  caretakers   properly  store  water  in  containers  with  lids,  although  only  approximately  34%  treat  their  water.    This  may   be  the  result  of  the  costs  associated  with  water  treatment.     All  the  indicator  values  relating  to  community  capacity  building increased  over  the  baseline.    Almost  600   community   leaders   were   trained   and   HCA   was   completed   in   each   of   the   communities.     Individual   community  leadership  capacity  is  somewhat  mixed,  although  given  the  scope  of  the  program’s  activities   this   isn’t   surprising.     It   is   clear,   however,   that   the   program   has   achieved   a   high   level   of   community   engagement  and  ownership   through   the  use  of  local  promoters   for  health  and  agriculture,   training  and   support  to  create  Mother  Leaders  for  Care  Groups,  development  and  training  of  Farmer  Field  Life  Groups   and  Community  Development  Committees.      The  leadership  and  technical  skills  that  these  individuals  and   groups  have  gained  will  provide  a  strong  foundation  for  continued  health  and  wellbeing  in  their  families   and  for  community  development  across  all  MYAP  intervention  areas.     FH   support   has   also   resulted   in   significant   gains   in   community   infrastructure   and   assets.     The   most   important  of   these  are   the  contributions   to  water  and   sanitation  infrastructure.      In  community  visits  it   was  clear  that  these  contributions  have  been  an  important  success  in  the  program  and  are  likely  to  have   contributed   in   important   ways   to   the   health   and   hygiene   outcomes   under   the   program’s   health   component. Conclusions  and  recommendations The   combination   of   increased   productivity  and   increased   incomes   derived   from   FH  agricultural   support   has  contributed  to  statistically  significant  gains  in  both  Household  Food  Provisioning  and  overall  Dietary   Diversity   Scores,   key  measures   of  HH  food  access.    In   the   remainder   of   the   program   FH  might   validate   these  conclusions   through  both   the  program’s   final  Annual  Agriculture  Survey  in  2013  and  by  compiling   full  marketing  income  and  VSLA  data.     Under  the  program’s  health  component  FH  has  facilitated  significant  improvements  in  essential  nutrition   actions,   essential   hygiene   actions,   and   understanding,   prevention   and   treatment   of   childhood   illness.     These  changes  are  likely   to  have  improved  food  utilization among   the   target  beneficiaries  by  increasing   overall  nutrient  intake  and  use.   Some  of   the  program’s  health  gains  are  more  modest   than  might  have   been   expected.   The   modifications   to   the   Care   Group   model-­‐ from   a   five-­‐year   cycle   accommodating   all   children  under  5  to  a  two-­‐year  cycle  accommodating  only  children  under  two-­‐ may  have  played  a  role  in   these  differences.    Future  programs  should  either  consider  a  return  to  the  standard  five-­‐year  Care  Group   cycle  or  modify  the  Care  Group  training  modules  to  match  the  reduced  time  period.  The  anthropometric   study   in   late   2013   will   provide   an   opportunity   to   more   closely   examine   the   relationship   between   the   behavior  and  knowledge  improvements  highlighted  here  and  actual  rates  of  malnutrition. The   program’s   emphasis   on   community   engagement   has   provided   strong   mechanisms for   knowledge   transfer  and  behavior  change  and  a  solid  foundation  for  continued  community  development.  During  the   remainder  of  the  program  FH  should  prioritize  transition  and  sustainability  planning  as  well  as  refresher   training   on   some   of   the   project’s   key   messages   (such   as   the   diagnosis,   prevention,   and   treatment   of   childhood  illness;  HH  latrine  use  and  maintenance; infrastructure  maintenance)   to help  ensure   that   the   program’s  benefits  can  be  sustained  as  long  as  possible.     Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 6 I.  Introduction In  line  with  the  evaluation  Terms  of  Reference  (TOR),  approved  by  USAID’s  Office  of  Food  For  Peace   (FFP),  the  MYAP  final  evaluation  has  three  key  objectives: 1) Assess  the  degree  of  achievement  of  the  MYAP’s  proposed  outcomes  and  impacts; 2) Document  constraints,  lessons  learned,  and  successes  derived  from  the  program;  and 3) Assess  the  relevance  of  the program’s  implementation  strategies  and  approach   The  audience  for  the  evaluation  findings  is  Food  for  the  Hungry,  the  USAID  Mission  in  Mozambique   and  FFP as  well  as  other  stakeholders  who  can  benefit  from  the  evaluation’s  results.       II.  Overview  of  Program  Context  and  Implementation A.  Overview  of  the  food  security  situation  in  Mozambique  at  program  start Over   the   past   two   decades,   Mozambique   has   struggled   to   achieve   economic and   social   stability   through  the  effects  of  civil  war  and  harsh  natural  disasters.    Rich  natural  resources  and  international   support   have   fueled  economic  growth, which  improved  Mozambique’s  Human  Development  Index   (HDI)   from   171/177   countries   in   2002   to   168/ 177   countries   in   2004.     Although   there   has   been positive  change  in  Mozambique’s  historically  poor  health  and  social  indicators,  many  indicators,  such   as   infant  mortality,   illiteracy   and   life  expectancy,   continue   to   rank   among   the  world’s worst.  Cabo   Delgado,  among  the  poorest  provinces,  falls  behind  all  other  provinces  on  almost  every  indicator  of   social  and  economic  development. In  addition  to  low  income  and  underdevelopment,  Cabo  Delgado  has  high  levels  of underlying  food   insecurity.   Soaring  above  all  of   the  provinces  in  Mozambique,  more   than  half  of  all  children  under   five  suffer  from  chronic  malnutrition  and  thirty-­‐four  percent  are  underweight1 ,  an  indicator  of  both   chronic   and   acute   malnutrition.     Cabo   Delgado’s acute   malnutrition   rates   are   lower   than   some   provinces  and  fall  below  emergency  levels;  however,  given  the  high  rates  of  chronic  malnutrition  in   Mozambique-­‐ and  the  known  irreversible  effects  of  chronic  malnutrition  on  childhood  development,   cognition   and   long-­‐term   productivity2 -­‐ there   is   an important   role   for   prevention   activities   through   behavior  change-­‐based  interventions. Food   availability   is   undermined   by infertile,   sandy   soils   leading   to   low   agricultural   productivity.     A   short   agricultural   season   creates   an   extended   hungry   season   with   attendant   food   provisioning   difficulties,   while   a   lack   of   crop   diversity   creates   significant   vulnerability   to   shocks   related   to   pest   infestations,   drought,   and   other   exogenous   shocks.     At   the   same   time,   poor   post-­‐harvest   crop   storage  leads  to  food  loss. An  extremely  low  level  of  household  purchasing  power,   resulting   from  poor  market  access,  limited   infrastructure,  as  well  as  lack  of  marketable  products  or  services  affect food  access.    Moreover,  low   literacy  and  education  levels,  compounded  by  language  and  cultural  marginalization,  particularly  of   women,  impede  vulnerable  populations  from  engaging  in  income-­‐generating  activities.   Food  Utilization is  affected  by  poor  diet  composition  and  diversity,  with  seasonal  hungry  periods. The   staple food   (cassava)   lacks   the   caloric   and   nutrient   density   to   meet   the   nutritional   needs   of   vulnerable  populations, pregnant  and  lactating  women, and  children  less  than  five  years  of  age.      At   the  same  time,  limited  knowledge  of  optimal  nutrition,  health  and  hygiene  practices  impede  families   from  fully  using  the  resources  at  hand.                                                                                                               1 Mozambique  Demographic  and  Health  Survey,  2003 2 Tracking  Progress  and  Child  and  Maternal  Nutrition:  a  survival  and  development  priority,  UNICEF  2009 3 Provided  by  the  FH  Community  Capacity  Building  Manager 2 Tracking  Progress  and  Child  and  Maternal  Nutrition:  a  survival  and  development  priority,  UNICEF  2009 Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 7 B.  Overview  of  the  FH  MYAP  in  Cabo  Delgado Through   the MYAP   Food   for   the   Hungry   sought   to   improve   the   health   and   nutritional status   of   children   0-­‐5 years   of   age;   to   increase   agricultural   productivity   and   strengthen   agricultural   value   chains;   and   to   increase   community   resiliency   to   shocks   for   31,577   households   (HH)   across   the   districts   of  Nangade,  Mocimboa   da   Praia,  and   Palma  in   Cabo  Delgado   province. Table   1   shows   the   program  Results  Framework. Table  1:  FH  Mozambique  MYAP  Results  Framework SO1. Protect   and   enhance   livelihood   capacities   of   vulnerable   farming   households   via   agricultural   production   and   marketing SO2. Protect   and   enhance   human   capabilities   through   improved  health  and  nutritional   status   of   pregnant   women,   preschool   children,   and   HIV+   individuals   SO3. Increased   community   capacity   to   influence   factors   that   affect   food   security   and   resiliency  to  shocks IR   1.1:  Agricultural   productivity   and   production   diversified   and   increased   IR   1.2:   Natural   resource   base   protected  and  enhanced IR   1.3:   Market-­‐led   income   sources   increased   and   diversified   IR2.1:Improved  use  of  Essential   Nutrition   Actions   (ENA)   by   pregnant  women  and  mothers   of  young  children IR2.2: Improve   mother’s   ability   to   prevent,   diagnose   and   manage   diseases   that   exacerbate   malnutrition,   including   dietary   management   of  illness   IR2.3: Improved   access   to   clean   water,   sanitation   facilities,  and  Essential  Hygiene   Actions  (EHA)   IR3.1: Increased   leadership   capacity   of   existing   formal   and   informal   community   leaders   to   address   factors   that  affect   food   security IR   3.2:   Increased   community   level   economic   infrastructure/assets   IR  3.3: Increased   ability   to   predict  and  mitigate  shocks III.  Evaluation  Methodology A.  Sampling Mixed  methodology The  final  evaluation  was  conducted  using  a  mixed  methodology,  consisting  of  a  population-­‐based  HH   survey,  focus  group  discussions  (FGD),  key  stakeholder  interviews  (KSI)  and  systematic  observations   at  the  HH  level.     Quantitative  Sampling For   the  HH   survey-­‐ the   primary  methodology   for   the   comparison   of   program  indicator  values   over   time-­‐ a   multi-­‐stage,   30-­‐cluster  sampling   design   was   used   based on   the   KPC   survey   methodology   outlined  in   the  KPC2000+  Field  Guide.   Under   these   standards,  separate   surveys  are  conducted   for   each   program   target   group-­‐ in   this   case   a   health   survey   for   primary   caregivers of   children   0-­‐24   months   and   an   agriculture   survey administered   to   identified   HH   heads-­‐ using   parallel   sampling.   Under   the   KPC  methodology, 10   surveys   are   administered   at   random  within   each   cluster  for   each   target   group,   for   a   total   (target)   sample   size   of   600   (300   for   health   and   300   for   agriculture).   This   sample  size  generates a  confidence  level  of  95%,  with  a  confidence  interval  of  approximately  10%. The   30   clusters   for   the   final   evaluation   were   selected   from   among   the   total   number   of   MYAP   intervention   communities   (50)   through   systematic   sampling using   probability-­‐proportional-­‐to-­‐size (PPS),   ensuring   that   the   total   sample   distribution   was   similar   to   the   population   distribution   across   MYAP   districts.   The   final  list   of   selected   clusters   can   be   found  in  Annex  1. In  addition,  in  order   to   ensure  random  selection  of  HH   for  survey  administration  within  each  cluster,  data  collection  teams   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 8 worked   with   community   leaders   to   identify   the   community   center.     From   that   location   the   teams   spun  a  bottle  and  began  data  collection  at  the  first  closest  house  in  the  direction  to  which  the  bottle   pointed.    Subsequent  surveys  were  administered  using  the  “nearest  door”  approach  until  the  target   number   of   surveys   was   completed   per   cluster. The   data   collection   team   interviewed   primary   caregivers   of   children   between   the   ages   of   0   and   24   months   for   the   health   survey,   while   the   agriculture  survey  was  administered  to  identified  HH  heads  in  each  HH  unit.     Qualitative Sampling The   qualitative   design consisted   of (1)   key   stakeholder   interviews   with   project   staff   and   MoH   personnel,   (2)   focus   group   discussions   with   farmer   groups,   mother   leaders   and   community   development  association  and  (3)  structured  observations   of   use/maintenance   of  key  infrastructure   supported  by  the  project,  including  HH  latrines,  school/public  latrines  and  tube/shallow  wells. These   methodologies  were  selected  to  provide  information  to  complement  or  expand  upon   findings   from   the  survey.     Key   staff   interviews   were   planned   with   one health   and one agriculture   program   staff from   each   project   district.     Likewise   one   focus   group   discussion   was   planned   with   mother   leaders,   farmer   groups  and  community  development  associations  in  each  project  district  (for  a   total  of  3  FGD  with   each  group)  based  on  random  selection  from  among  communities  that  were  not  included  in  the  HH   survey. At  least  one  structured  observation  for  each  infrastructure  type  was  also  planned  at  the  HH   (latrines)   and   community   (public/school   latrines)   levels   in   each   of   the 30   clusters  selected   for   HH   surveys  to  avoid  the  need  for  additional  logistics  support  and to  ensure  efficiency  in  data  collection.   B.  Data  collection  instruments  and  process Quantitative The   team  used   the  same  surveys   for   the  quantitative  portion  of   the  exercise  as   those  used   for   the   baseline  survey.    Only  minimal,  largely  cosmetic  changes  were  made  on  a  small  number  of  questions   to  increase  clarity  and  ensure  respondent  understanding.    However,  in  order  to  ensure  comparability   between   the   baseline   and   final   evaluations,   no   conceptual   or   content   changes   were   made   in   the   tools.    During  enumerator  training  the  surveys  were  translated  into  Makonde,  Kimwane  and  Makua,   the   three   primary  local  languages   of   the  MYAP  intervention   districts.    Copies   of   the   survey   can   be   found  in  Annex  2.   To   facilitate   data   collection   and   quality   control,   three   data   collection   teams   were   formed   from   FH   staff,  each  consisting  of  one  Team  Leader,  two Data  Collection  Supervisors  and  eight Enumerators.     Each   team   was   assigned   to   a   project   district   based   on   language   and   cultural   considerations.   Furthermore,   teams  were  assigned   to  districts  where   they  do  not  implement  programs  in  order   to   reduce  potential  bias.    Team  Leaders  were  responsible  for  daily  team  planning,  ensuring  logistics  and   overall   quality   control   as   well   as   daily   communication   with   the   Final   Evaluation   Consultant.     Data   Collection   Supervisors   oversaw   enumerators   and   supported   data   collection   efforts,   spot   checking   quality  and  providing  daily  feedback.    Enumerators  administered  the  survey  and  filled  out  the  survey   forms.    In  each  data  collection  team  the  four  enumerators  were  broken  into  two  pairs.  In  each  pair,   one   person   administered   the   survey,   while   the   other   person   completed   the   form.     To   further   mitigate  against  bias  and  ensure  accurate   responses   to  culturally  sensitive  questions  each  pair  was   composed   of   one   male   and   one   female   member. A   list   of   data   collection   teams   can   be   found   in   Annex  3. Data  collection  training  was  conducted  during four  days.    One  full  day  was  provided  for  Team  Leaders   and   Supervisors,   focused   on   ensuring   understanding   of   the   survey   tools   and   providing   a   detailed   overview  of  HH  sampling  and  the  data  collection  process.    Subsequently,  two  full  days  of  classroom-­‐ based  training  were  provided  for  the  full  data  collection  teams  to  ensure  standard  understanding  of   survey  questions  and  key  concepts,  to  provide  an  overview  of  HH  selection  and  to  practice  using  the   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 9 tool  through  simulation  activities.    A  third  day  of  training  was  used  to  field  test  the  full  data  collection   process,  from  HH  selection  to  survey  tool  administration  and  quality  control.   A   total   of   407   Health   surveys   and   333   Agriculture   surveys   were   administered   during   the   survey   exercise.    To  account for  non-­‐response and  potential  errors  in  data  collection,  teams  were  instructed   to  complete  11  surveys  in  each  cluster.    Data   collection  was  completed  between  March  18   and   March   27,   2013   (nine   days).     It   is   important   to   note   that   since   the   health   survey   was   considered   the   “entryway”   to   each   family,   agriculture   surveys   were   only   conducted   after   the   health   survey   was   completed   and   where   the   household   head  was  available   for   interview.    As  a   result,   the   number   of   health   surveys   conducted  exceeds  the  number  of  agriculture  surveys. Qualitative FGD and   KSI were   conducted   directly   by   the   Evaluation   Consultant based   on   interview   guides   developed   in   alignment   with   the   ToR   and   reviewed   /   approved by   FH   staff.   An   FH   translator   supported   the   FGDs by   translating   questions   from   English   to   Portuguese.   Local   field   staff   subsequently  translated   from  Portuguese  into   the  respective  local  language.   Responses   to  KSI  and   FGDs were   recorded   into   a   notebook   and   subsequently   transferred   into   electronic   transcripts.     Qualitative  data  collection  tools  and  transcripts  can  be found  in  Annexes 4 and  5. Structured   observation   checklists  were   developed   using  FH   technical   specifications   for  HH  latrines,   school   latrines   and   tube/shallow   wells 3 to   support   collection   of   systematic,   objective   and   quantifiable observations   regarding   use  and  maintenance   of  key  water   and   sanitation-­‐related   infrastructure.     These   tools   were   reviewed   and   modified   and   subsequently   translated   into   Portuguese.   Copies  of  the  checklists  can  be  found  in  Annex   6. Observations  were  conducted  by  Data  Collection  Supervisors  during  HH  surveys.    Copies  of  original observations  checklists  were  stored  in  the  FH  office  in  Pemba.   C.  Data  Quality,  Processing  and  Analysis Quality  Control To  ensure  the  highest  quality  data  possible  quality  controls  were  instituted  at  five levels  during  data   collection  and  three levels  during  data  processing. Five  levels  of  data  collection  quality  control: 1)   Enumerators   were   split   into   pairs   to   ensure   complete   and   accurate   data   collection   /   recording   based  on  clear  segregation  of  duties;   2)  One  supervisor  was  assigned  to  two  enumerator  pairs.    Each  supervisor  was  required  to  observe   each  pair  at  least  one   time  per  day  and  provide  clear   feedback  for  improvement  directly  following   the  observed  interviews based  on  a  systematic  quality  control  checklist;                                                                                                               3 Provided  by  the  FH  Community  Capacity  Building  Manager Table  2:  Total  surveys  completed  by  target  group Health Agriculture 407 333 Table  3:  Total  Qualitative  Interviews  Conducted Focus  Group  Discussions Staff  Interviews Key  stakeholder  interviews § 3 Farmer   Field   Life   Groups § 3  Mother  Leader  Groups   § 2   Community   Development   Associations § 2  FH  Agriculture  staff § 3  FH  Health  staff § 1   MOH   Provincial   Nutritionist Table  4:  Infrastructure  Observations §53  HH  latrine  observations §10  school  latrine  observations §9  tube  /  shallow  well  observations Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 10 3)  Supervisors  reviewed  each  of  the  forms of  their  respective  teams  for  accuracy  and  completeness   prior  to  submission  to  the  Team  Leader; 4)   Team   Leaders  reviewed   all   forms for   accuracy   and   completeness   prior   to   submission  to   the   FH   Mocimboa  de  Praia  office  for  data  entry;  and 5)  Forms  were reviewed  each  day prior  to  data  entry and  clarifications  or  corrections  were  requested   as   needed.     Overall   trends   from   this   review   were   also   fed   back   to   the   Team   Leaders   to   support   improvement  and  standardization. Three levels  of  data  processing  quality  control: 1)  Daily  on-­‐site  mentoring  and  oversight  to  address  arising  concerns /  challenges; 2)  The  data  entry   team  maintained a  daily  log  of   form  numbers  and  identified  challenges.    The  log   was   used   to   re-­‐code   individual   questions   or   re-­‐enter   entire   questionnaires   (depending   on   the   magnitude   of   challenges   identified)  each   afternoon.  In  extreme   cases   (e.g.,  multiple   key   questions   with  errors)  questionnaires  were  sent  back  to  the  field  for  additional  clarifications;  and 3)  A  sample  of  15%  of  all  questionnaires  was  re-­‐entered  (double  entry) after  the  initial  steps  of  data   entry  and  correction  were  complete.   Data  Processing  and  Analysis Five   data   entry   clerks   (three   Peace   Corps   volunteers   and   two   local   FH   staff)   were   oriented   on   quantitative   data entry  with   a   user-­‐friendly  data  template   in   CSPro5.0.   The   template  mirrored   the   questionnaire  to  facilitate entry  and  to  reduce  error. Beginning  from  the  third  day  of  data  collection,   data  entry  was  completed  simultaneous  to  data  collection.    Data  entry was  completed  by  March  30th 2013.  Original  forms  were  stored  in  numerical  order  according  to  questionnaire  IDs  in  the  FH  office  in   Pemba.    Data  cleaning  and  verification  was  conducted  during  three  days  in  Pemba by  running  basic   frequencies   and   crosstabs   and   crosschecking /   correcting   errors   by   referring   back   to   the   original   forms.   Preliminary   quantitative   analysis   was   conducted   in   CSPro   to   generate   basic   descriptive   statistics.     Qualitative   data   trends   were   identified   from   FGDs   and   KSI   by   organizing   the   qualitative   data   into   themes.     Observations   from   the   infrastructure   checklists   were   tabulated   and   processed   in   Excel.     Together   the   quantitative   and   qualitative data   was used   to   provide a   preliminary   debriefing   for   Senior  FH   staff  and   stakeholders   from   the  MoH and  GoM  Office   for  Infrastructure  Development  in   Pemba.    Staff  from  the  USAID  Mission  in  Maputo  was  invited  to  the  debriefing;  however,  they  were   unable   to  attend.   The  debriefing  in  Pemba  provided  an  opportunity   to   receive   feedback   regarding   the  preliminary   findings   from  both  FH  staff  and   the  external  stakeholders  present.      This   feedback,   especially  regarding  context  factors,  has  also  been  incorporated  into  this  report.     Final  quantitative  (comparative)  analysis  of  baseline  and  final  evaluation  data was  conducted  in  SPSS   21.0.  Relevant  proportions  and  means  were  generated  for  each  indicator  and  t-­‐tests  for  independent   samples   were   conducted   to   test   the   significance   of   differences   between   the   baseline   and   final   evaluations.    The  p  values  (statistical  significance)  of  each  of  the  findings  were  subsequently  verified   using  the  Indicator  Confidence  Interval  Calculation  Worksheet  provided  by  FH  for  that  purpose. IV.  Constraints  and  limitations Every  effort  was  made  to reduce  bias,  ensure  data  fidelity  and  integrity of  the  information  presented   in  this  report.    Nonetheless-­‐ as  with  the  results  of  any  data  collection  and  analysis  process-­‐ some  key   limitations  should  be  kept  in  mind  while  reading  this  report: § No   use   of   a   control   group.   The   data   that   is   presented   does   not   compare   the   results   of   intervention   groups   with   control   groups,   thus   limiting   the   degree   of   inference   regarding   causality.   What   the   analysis   does   measure   is   the   degree   to   which   changes   between   baseline   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 11 values   and   final   evaluation   values   are   statistically   significant.     While   some   effort   was   made   through   the  qualitative  work   to  identify  confounding   factors  outside  of  FH   support   that  might   have  contributed   to   these  changes,   those  discussions   (and  by  proxy  discussions  of  attribution)   are  limited. § Purposive   exclusion   of   intervention   areas   from   the   sample:   The   city   centers   of   Mocimboa   da   Praia  and   Palma  were  excluded   from   the   sample based   on  a   consensus   decision   taken   by   the   evaluation   management   team.     This decision   obeyed   two   key   factors:     (1)   the   centers   were   excluded   in   the   baseline   sample;   and   (2)   although   FH   did   implement   MYAP   activities   in   Mocimboa city   center,   only   health   interventions   were   undertaken   there.   Given   the   high   population  density  in  Mocimboa  (representing  a  full  40%  of  all  of  the  MYAP  health  participants)   it  would  have  rendered  the  parallel  sampling  technique  virtually  moot,  elevating  the  evaluation   logistics   costs   and   increasing   the   time   required   for   the   exercise.     Based   on   these   factors   the   decision   was   taken   to   only   include   areas   with   both   health   and   agriculture   activities   in   the   sample.     Likewise, three   locations   with   extremely   difficult   access   during   the   rainy   season   (Maculo   and   Ulo   in   Mocimboa   da   Praia   and   Lalane   in   Palma)   were   also   excluded   in   order   to   facilitate  data  collection  and  efficiency  of  resource  use.    Together  these  five locations  represent   66,148   inhabitants   of   the   total   population   of   141,709   of   the   50   MYAP   intervention   areas,   or   almost  47%  of  the  total  population.  In  other  words,  the  sample-­‐ and  the  statistics  derived  from   it-­‐ represent  only  slightly  more  than  half  of  the  full  intervention  population. § Purposive   exclusion   of   a   large   proportion   of   health   participants from   the   sample.     Similarly,   Mocimboa   da   Praia   city   center   represents   a   full   40%   of   the   total   MYAP   health   participant   population,  which  means  that  almost  half  of  the  health  participant  population  was  purposively   excluded  from  the  sample.    These  limitations  should  be  kept  in  mind  when  reading  the  findings   and  conclusions  of  the  report.     § Challenges  with  using  FH  staff  for  data  collection.  Survey  data  was  collected  by  FH  staff,  which   does   potentially   introduce some   bias into   the   data.     In   order   to   reduce   such   bias,   staff   was   assigned   to   collect   data   in   locations   where   they   do   not   normally   work.     Another   challenge   in   using   FH   staff   was   that   almost   half   of   staff   assigned   to   the   data   collection   task   had   never   participated  in  data  collection  previously. 4    Although   four   full  days  were  spent  on   training,   the   lack  of  previous  experience  and  overall  limited  understanding  of  key  survey  concepts  (e.g.,  the   need   for  precision,  an  orientation  to  detail)  led  to  a  large  learning  curve,  persistent  challenges   and   the   need   for   consistent   and   very   close   follow-­‐up.   Most   challenges   were   addressed   by   sending   forms   back   for  completion  or  clarification.  However   the  process  of  gathering  multiple   corrections  and  clarifications  could  have  introduced  slight  bias  into  the  results.    Approximately   15-­‐20%   of   overall   survey   forms   required   clarifications   or corrections. Three   forms   had   to   be   completely  discarded  as  a  result  of  these  factors.   § Limitations  in  survey  instrument.   There  were  several  questions  on   the  agricultural  survey   (the   entire   battery   of   questions   for   sections   C,   D   and   F)   that   sought   detailed   agricultural   yield,   livelihoods  and  economic  data  from  participants  based  on  participant  recall.     Participant  recall   becomes   less   and   less   reliable   the   further   away   you   get   from   the   event   under   scrutiny   (e.g.,   farmers  have  a  hard  time  remembering  precise  yields  the  further  they  are  from  the  last  harvest).     The  decision  was  made  not to  modify  the  questionnaire  significantly  for  these  questions  despite   the   recognition   that   the   data   would   be   of   limited   use   for   anything   other   than   illustrative   purposes.   § Simultaneous   qualitative   and   quantitative   data   collection.  In   line  with   the  ToR,   the  evaluation   team  undertook  the  quantitative  and  qualitative  data  collection  activities  simultaneously.      This   decision   obeyed   financial   and   time   constraints   and   represented   a practical   and   cost   efficient   approach   to   the   evaluation   exercise.   Under   ideal   circumstances,   qualitative   and   quantitative   data  collection  should  be  undertaken  as  separate  steps   to  ensure   that  any   findings  uncovered   from   the  quantitative  exercise  can  be  “unpacked”  and  more   fully  explored   through  qualitative                                                                                                                 4 Based  on  a  rapid  survey  of  data  collection  staff  conducted  during  enumerator  training.   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 12 inquiry.     Because   in   this   case   quantitative/qualitative   data   collection   and   analysis   occurred   simultaneously,  some  gaps  remain  that  could  not  be  adequately  addressed.   § Language   barriers   in   data   collection.     Although   every   effort   was   made   to   translate   the   data   collection  instruments  into  local  languages  (survey)  and  Portuguese  (qualitative  tools),  language   barriers  did  arise  during   the  process.    The  evaluation  leader  spoke  basic  Portuguese,  but  FGDs   and  responses  required double  translation:  from  English  to  Portuguese  to  local  languages,  back   into  Portuguese  and  English.    Every  effort  was  made  to  clarify  concepts;  however, nuance  in  the   FGDs  was  likely  lost  as  a  result  of  these  factors.    At  the  same  time,  in  some  locations  participants   spoke  none  of  the  three  foreseen  languages  for  which  the  survey  had  been  translated.    In  these   cases the  languages  could  be  spoken  and  understood,  but  translations  of  the  survey  form  were   conducted  on   the  spot.    This  could  have  led   to  misinterpretation  and  misunderstanding  of   the   questions.   The   estimated   proportion   of   these   occurrences   was   small   (<10%   of   total); it   is   nonetheless  important  to  keep  in  mind. § Lack of  original   (raw)  baseline  data.  It  is  important   to  note   that   the  original  baseline  data  was   not  available at   the   time  of  analysis as  a   result  of  significant  staff  overturn  at  FH  between   the   baseline   and   final  evaluations.     Instead,   the   consultant   used   a   version   of   the  baseline  data   in   Excel   that   included dummy   (composite)   variables   for   key   indicator   values   such   as exclusive   breastfeeding,   hygiene   behaviors   and   signs   of   childhood   illness.     The   original   data   used   to   develop these  composite  variables  was  not  available,  limiting  the  possibility  for  verification.    At   the  same time,  no  data  dictionary  was  available  for  the consolidated  baseline  dataset leading  to   questions  about   how   the  values  were  generated.   However,  the  FH   health   team  provided   the   consultant  with  a  list  of  the  variables  from  which  each  composite value  was consolidated.    This   allowed   for   the reproduction   of   those   values   in   the   final   evaluation   dataset,   thus   facilitating   comparative  analysis  in  SPSS.    While  the  baseline  values  generated  in  SPSS  for  the  purposes  of   this  analysis  correspond  in  the  large  majority  of  cases  to  those  included  in  the  original  baseline   report   and   IPTT,   there   are   a   couple   of   indicator   values   that   do   not.     In   these   cases   tests   of   statistical  significance  were  conducted  in  two  ways:  (1)  by  conducting  t-­‐tests  of  the  differences   between the new  baseline  values  with  the  final  evaluation values  in  SPSS; and  (2)  by  comparing   the  confidence  intervals  of  the  original  baseline  values  with  the  values  of  the  final  survey.   V.  Findings-­‐ Organized  by  Results  Framework  /  Indicators A.  Strategic  Objective  1  (Agriculture):  Protect  and  enhance  livelihoods  of  vulnerable  farming   households Under   the   agricultural   component,   FH   proposed   to   protect   and   enhance   farming   livelihoods   by   improving food   availability   and   access.     FH   proposed   to   achieve   this by   (1)   increasing   agricultural   productivity;   (2)   decreasing vulnerability   to   shocks   through   crop   diversification   and   improved   storage;   and   (3)   increasing purchasing   power   through   cash   crop   production,   engagement   with   markets  and  development  of  VSLAs.      Findings  for  each  of  the  indicators  relating  to  SO1  are  included   below,  organized  by  Intermediate  Result.        Overall  impact  indicators  for  SO  are  discussed  at  the  end   of  this  section. Intermediate  Result  1.1:  Agricultural  productivity  and  production  increased  and  diversified FH  proposed  food  source  diversification  as  a  key  strategy  to  improve  food  access  and  availability in   the  target  area.  To  that  end,  FH  proposed:   (1)  promotion  of  protein and  micronutrient-­‐rich  perennial   dark  green  leaf  crop  production   (moringa,  cassava)   to  help  meet  demands   for  dietary  diversity;   (2) the  promotion  of  several  locally  available  high-­‐protein,  high-­‐nitrogen  fixing  (leguminous)  crops;  and   (3)  the  introduction  of  sustainable  agricultural  technologies  to  increase  production  and  improve  soil   quality.   The  relevant  indicators  and  targets  for  these  practices  are  included  in  Table  5. Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 13 Table  5:  IPTT  Indicators  and  targets  for  IR1.1 Percent  of  HH  with  intensive  dark  green  leaf  production 95% Percent   of   HH   adopting   and   diversifying   production   by   including   at   least   1   new   leguminous  nutritious  food  crop  in  farming  system 90% Percent   of   beneficiaries   (farmers)   using   at   least   3   sustainable   agricultural   technologies  in the  past  year 70% Percent   of   fruit   and   cashew   farming   training   beneficiaries   practicing   at   least   two   improved  fruit  growing  techniques  in  the  past  year 60% Percent  of  HH  adopting  sustainable  non  chemical  grain  and  seed  storage  protection   techniques 90% Productivity  (kg/ha)  for:   (1)  Sesame   (2)  Groundnut   (3)  cow  peas   (4)  rice  (Nerica) Sesame:  500 Groundnut:  500 Cow  peas:  550 Rice:  700 FH   promoted protein   and   micronutrient-­‐rich   perennial   dark   green   leaf   crop   production   to help   meet   demands   for   dietary   diversity and   support   the   MYAP’s   health   objective.   Dark   green   leaves   from   moringa   and   cassava   are   available   even   at   the   driest   time   of   the   year   when   little   else   is   growing.   Moringa   in   particular   is   high   in   protein,   Vitamin   “A”   and   “C”,   potassium,   calcium   and   other   minerals.     Figure   1 shows   that production   of   dark   green   leaf  increased  at  a  statistically  significant  level   over   the   baseline,   from   71.7%   to   91%   (LCL   89.7%   /   UCL   94.1%).     Given   that   84%   of   HH   produced  cassava (LCL  80.2%   /  UCL  88%),  it  is   not   surprising   that   the  level  of  HH  with  green   leaf  production  is  high.   FH   also   promoted the   production   of   several   leguminous  crops  that  are  both  high  in  protein (to   support  health  objectives  under  SO2)  and  nitrogen   content   (to   support   improved   soil).     These   are   drought   tolerant   crops,  appropriate   for  the   sandy soils  of  the  intervention  districts,  and according  to   FH  agriculture  staff  they have  low  labor  and  input   requirements,   making   them   relatively   easy   to   adopt.     As   Figure   2 illustrates,   the   proportion   of   HH   incorporating   at   least   one   leguminous   crop   into   their   farming   systems   has   increased   by   approximately   20 percentage   points over   the   baseline,   from   37.3%   to   58%   (LCL   52.7%   / UCL   63.3%).   This   change,   while   statistically   significant,   is   approximately   30 percentage   points below   the   program  target. Baseline  N=  300;  Final  N=  333 p=  .000 Baseline  N=  300;  Final  N=  333 p=  .000        71.7%   91%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  1:  Percent  of  HH  with   intensive  dark  green  leaf  produc]on   Target  95%   37.3%   58%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  2:  Percent  of  HH  plan]ng  at   least  one  leguminous  crop   Target  90%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 14 It  is  important  to  note  that,  despite  an  increase   in   the   proportion   of   families   incorporating   legumes  into  their  HH  production,  there  has  not   been   a   statistically   significant   increase   in   the   production   of   any   single   leguminous   crop since   the  baseline.    As  Table  6 (left)  demonstrates,  the   overall  proportion  of  families  planting  any  single   legume  has  remained  the  same  over  time.    One   potential   factor   contributing   to   the   lack   of   increase   may   be   that   FH   stopped   distributing   free   legume   seeds   in   2011.     Seeds   were   distributed  to  participants  in  the  first  three  years  of  the  program only. 5 To  support  increased  diversity  in  production  and  cash crop  potential  (covered  in  greater  detail  under   IR1.3,   below),   FH   supported   improved   practices   for   fruit   tree   and   cashew   production.     Fruit   tree   production  was  not  a  viable  production  alternative  as  a  result  of  the  sandy  soil  and  coastal  climate  of   the  intervention  areas.6    Support  was  provided   for  improved  cashew  production.  In  2010  and  2011   FH   distributed   cashew   seedlings   to   1,300   farmers.  They  also   received  intensive training   on   cashew   production   techniques,  including  land  preparation,  mulching,  spacing and  disease  and  pest  control. According   to   the   2012   FH   Annual   Agricultural   Survey,   73%   of   FH   beneficiaries   involved   in cashew   production   practiced at   least  two   improved   techniques   in   the   year   prior   to   the   survey.7 This   data   could  not  be  verified,  as  the consultant  did  not  have  access  to  the  original  dataset  from  the  annual   survey.     To  conserve  and  build  organic  matter  in  the  soil   and   increase   water   infiltration   and   retention,   FH   promoted   several   sustainable   technologies,   including the   use   of   green   manures   and   cover   crops,  compost,  crop   rotation,  intercropping  of   grains   with nitrogen-­‐fixing   legumes as   well   as   agroforestry.   As   Figure   3 demonstrates,   the   proportion   of   HH   using   at   least   three   sustainable   technologies   has   increased   significantly   over   the   baseline,   from   32.7%   to   67%  (LCL  61.9%  /  UCL  72%).    This  is  only  slightly   lower  than  the  program  target. We  can  see  in  Table  7 (below)  that  technology use   has   increased   across   four technology   categories.  Adoption  of  composting,  intercropping,   crop   rotation   and   reduced   burning   have   all   increased  at  a  statistically  significant  level.      Most  of   these   increases   have   been   by   at   least   20 percentage   points.     Reduced   burning   has   seen   the   greatest   change,   at   almost   50 percentage   points.     There  was  no  change  in  adoption  of  green  manure   or  agroforestry. Farmers  in  FGD  also  mentioned  line   sowing   and   crop   spacing   as   key   technologies                                                                                                                 5 Food  for  the  Hungry  Mozambique  2012  Annual  Agriculture  Survey  report 6 Interview  with  FH  Agriculture  Manager 7 Unlike   the   other   data   in   this   report,   this   figure   comes   from   the   FH   Annual   Agriculture   Survey  and   reflects   only   project   participants.    No  specific  question  was  included  in  the  survey  regarding  cashew  production  techniques Table  6:  Legume  production Leguminous   variety BL Final Sig. Cow  pea 32% 39.3% N Jugo  bean 10% 11.7% N Soloco  bean 0% 0.3% N Boer  bean 1% 2.4% N Other  beans 1% 0.9% N Groundnut 15% 12.3% N Cashew 25% 29.7% N Baseline  N=  300;  Final  N=  333 p=  .000 Table  7:  Technology  adoption Technology BL Final Sig. Green  Manure 39.3% 48.6% N Composting 32.0% 61.3% Y Intercropping 42.7% 64.6% Y Agroforestry 16.7% 23.7% N Crop  rotation 17.7% 52.0% Y Reduced   burning 30.3% 79.0% Y 32.7%   67%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  3:  Percent  of  HH  using  at  least   3  sustainable  technologies   Target  70%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 15 introduced  by  the  project  that  have  helped  them  increase  yields. FH   introduced   the   use   of   neem   leaves   and   mango   ash  to   protect   seed   and   grain   during storage.   According   to   the  2012  Annual  Agricultural  Survey,  63%  of  project  participants  used  neem  and  63% used  mango  ash.    In   two  FGDs with  members   of   the  Farmer  Field  and   Life  Groups   (FFLG),   farmers   expressed   frustration  with  organic  pesticides,  which  they  perceived  as  working  poorly.    In  one  case   the   farmers  explained  that  FH  had  provided  misinformation  regarding  a  mistaken  variety  of  tree   (it   looked   like   neem,   but   was   actually   another-­‐ unrelated-­‐ tree   variety).     Logically   it   did   not   work   because  it  did  not  have  the  properties  of  an  organic  pesticide.    In  the  other  case  farmers  said  that  the   neem mix  did  not  work  for  root  plants,  explaining that  pests  had  eaten  both  cassava  and  groundnut production  treated  with   the   remedy.    Although   the   farmers  in   the  second  group could  not  provide   exact  figures,  they  suggested  that  this  had  led  to  large  losses.     According  to  FH  staff,  the  error  of  the  first  case  was  resolved  as  soon  as  the  error  was  discovered.    In   the  second  case  FH  staff  explained   that  neem  takes  as  many  as   three  years  to  produce  seeds  with   strong  insecticidal  properties.   Although  the  leaves  can  also  be  used  as  an  insecticide,  they  are  not  as   potent  as  an  insecticide  as  the  seeds.  In  either  form  neem  is  an  effective  preventive  measure when   used  in  conjunction  with  other  methods,  but  alone  it  does  not  kills  all insects. 8    Given  the  limitations   of  neem  and  the  challenges  with  pest  infestation in  the  MYAP  program  areas  it  is  unclear  why  FH did   not  promote other pesticide  alternatives in the  program.  When  asked,  FH  staff  explained  that  USAID   does   not  allow   the   purchase   of   chemical   pesticides.  However,   this  alone   seems  like  an  insufficient   explanation.    It  is  important  to  note  that  farmers’  willingness  to  adopt  new  technologies  will  depend   largely   on   whether   their   own   experience with   such   technologies is   positive.     A   disappointing   experience   with   one   technology   could   make   farmers   skeptical   of   other   new   technologies   in   the   future.   One  of  the  key  objectives  of  the  support  to  agriculture  was  to  increase  production  and  productivity for  key  crops.    As  mentioned  in  the  limitations  section,  the  original  questionnaire  asked  respondents   to   estimate   yield   and   sales   data   based   on   recall.     Although   recall   can   be   an   effective   method   for   estimating   yields   within   a   few   days   (or   even   weeks)   of   the   harvest,   recall   becomes   less   and   less   reliable  with  the  passage  of  time.9    Given  that  the  harvest  to  which  the  survey  referred  took  place  in   June   of   2012-­‐ a   full   8   months   prior   to   the   survey   exercise-­‐ the   specific   data   regarding   yields   is   unreliable.    A  more  accurate  way  to  look  at  performance  is to  look  at  overall  trends  from  FH’s  Annual Agricultural   Surveys   which   used   LQAS   sampling   to   collect   crop   cuttings   and   extrapolate   mean   productivity  among  sampled  FH  participants from  across  all  program  locations.  Data   from  both  the   evaluation  survey  AND  the  FH  Annual  Agricultural  Surveys  are presented  in  Figures  4a  and  4b below. We   can   see  in  Figure   4a  (below,   on   page   13)  that   the final  evaluation  survey  data   shows  negative   productivity   growth for   all   crops,   except rice,   which  showed   slight   improvements.   At   least   four factors  may be  influencing  these  results: (1)  The  first,  mentioned  above,  has  to  do  with  the  unreliable  nature  of  farmer  recall  to  describe   yield  data  so  many  months  after  the  harvest;     (2)   The   second   is   that   the   agricultural   component   might   be   better   served   by   direct   measurement  of  agricultural  participants  rather  than  full  populations.  By  including  data  for  the   full  population,  the  results  may  not  fully  capture  the  agricultural  growth  of  farmers; (3) The   third   factor   has   to   do   with   the   challenges   in   effectively   standardizing   local   measurements   into   kilos.     At   least four   different   local   agricultural   weight   measurements   are   used  in  the  communities  where  the  evaluation  survey  was  conducted  (“cans”,  “bags”,  “baskets”   and  “buckets”), each  of  which  also  has  a  range  of  measures  (small,  medium,  large,  etc.).      While                                                                                                                 8 Email  communication  with  the  FH  Agricultural  Program  Officer,  May  24,  2013 9 Diskin,   Patrick,   Agricultural   Productivity   Indicators   Measurement   Guide, Food   and   Agriculture   Technical   Assistance   (FANTA),  December  1997 Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 16 an   agricultural conversion   chart   was   developed   for   use   by   enumerators   during   the   survey   exercise,  the  range  of  options  and  measures  (in  addition  to  new  ones  that  showed  up  during  the   field   exercise)   led   to   significant   extrapolation   in   the   best-­‐case scenario   and   downright   guesswork  in  the  worst  case;   (4)  The   fourth factor  may  be  related   to   the  cultural  context.  Discussions  of  how  much   farmers   produce  are  sensitive.    This  is  owed  to  the  fact  that  (a)  farmers  understand  that  decisions  may   be  made  about   future   support based   on   their   responses  and   (b)  much   in   the   way   that   in   the   West   it   would   be   considered   inappropriate   to   openly   discuss   salaries,   some   farmers   may   consider  it  inappropriate/uncomfortable to  discuss  agricultural  yields  and  salaries.    These  factors   may  have  resulted  in  underreporting.     The data  from  Figure  4b comes  from  the  FH Annual  Agricultural  Surveys,  with  the  first  survey  (2010)   used  as  a  proxy  for  the  baseline  and  2012  used  as  a  proxy  for  the  final  evaluation.   Assuming  that  the   LQAS   and   crop-­‐cutting   methodologies   were   followed   correctly   and   that   data   was   managed   and   analyzed   properly the  annual   survey   data  might   be   a  more  accurate   reflection   of   overall   trends   in   productivity for  project  participants.  FGDs  with  two  farmer  groups  and  conversations  with  three  FH   agriculture   staff  also   suggest   that   yields   have   indeed   increased.     Respondent   farmers  emphatically   described  gains  in  productivity  and  they  attribute  those  gains  to  use  of  technologies  promoted  by  FH   and   introduced   through   FFLGs.     Coincidentally, according   to   the   FH   Agricultural   Program  Manager   the data  from  the  Annual  Agricultural  Surveys also  aligns  more  closely  with  average  productivity  data   for  the  Cabo  Delgado  province,  further  suggesting  that  the  data  may  be  a  more  accurate  reflection  of   productivity. Figure  4b  clearly shows yearly  productivity  increases   for  sesame,  cowpeas,  groundnut and  rice. 10 Given  that  multiple  sources  of  data  suggest  that  productivity  has  increased  during  the  program-­‐ and   taking   into   account   the   known   methodological   limitations   with   the   baseline/final   evaluation   data   collection   instrument (described   above)-­‐ it   is   the   consultant’s   opinion  that   the  results   of   the   final   evaluation  likely  do  not accurately  reflect  the  program’s  contribution  to  agriculture.    In  other  words,   despite   the   results   of   the   evaluation   survey,   which   suggest   limited   productivity   gains,   the   other   sources  of  data  in  the  program  indicate  strongly  that  productivity  is  likely  to  have  increased between   the  baseline  and  final  evaluations.                                                                                                               10 Because  the  consultant  did  not  have  access  to  the  Annual  Agricultural  Survey  raw  data  files the  validity  of  these  findings   could  not  be  verified. 87   286   161   293          51.8   163.2      94.3   334.6   0   200   400   600   800   1000   1200   Sesame   Ground   Nut   Cow  peas   Rice   Figure  4a:  Agricultural  Produc]vity-­‐   Final  Evalua]on  Survey   Baseline   Final   428   426   383   661   677   617   745   1028   0   200   400   600   800   1000   1200   Sesame   Ground   Nut   Cow  peas   Rice   Figure  4b:  Agricultural  Produc]vity-­‐   FH  Annual  LQAS  Surveys   Baseline  (2010)   Final  (2012)   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 17 For  the  final  Annual  Agricultural  survey  in  2013  it  might be  worth  investing  in  an  external  consultant   who   can   oversee   the   LQAS   methodology, sampling,   data   collection,   management   and   processing.   This  will  support  objective  validation  of the productivity  figures presented  above.   Overall   diversification   of   production does not   seem   to   have   increased   during   the   program.   The   percent   of  HH   planting   3   or  more   crops   has   not  increased   significantly   during   the   program.  At   the   baseline   55.3%   of   HH   planted   3   or   more   crops,   while   at   the   final   evaluation   the   number   had   remained  statistically  constant  at  58.3%  (LCL  53%  /  UCL  63.6%). Intermediate  Result  1.2:  Natural  resource  base  protected  and  enhanced To   address   challenges   with   soil   fertility,   FH   proposed to   increase cover   cropping   in   fields   with   leguminous  crops to fix  nitrogen  and  add  organic  matter  in  the  soil.  Other  strategies  to  protect  and   improve   the   soil  and/or  increase  nutrients  and  included reduced   field  burning,   reduced   soil   tillage,   and  incorporation  of  mulch.     Table  8:  IPTT  Indicator  and  targets  for  IR1.2 Percent  of  NRM  training  beneficiaries  that  implemented  3  OR  MORE  improved  NRM   practice in  their  fields  in  the  past  year 50% See  the  indicators regarding  technologies  and  legume  production  under  IR  1.1. Intermediate   Result   1.3:   Market   links   established   and   households   making   use   of   economic   opportunities To   address   deficits   in food   access and   increase   community   resilience,   FH   proposed   the   implementation   of   interventions   to   increase   and   diversify rural   income,   including:   1)  support for   production  and  sales  of high  value  cash  crops-­‐ sesame, cashew and groundnut;  and  2)  establishment   of Savings Groups to  mobilize  community  saving  and  encourage  entrepreneurial  activity.   Table  9:  IPTT  Indicators  and  targets  for  IR1.3 Percent  of  HH  producing  at  least  1  high  value  improved  cash  crop 80% Percent  of  women  participating  in  cash  crop  production 50% Average  savings  group  distribution  value  per  group  at  end  of  cycle $200 Total  funds  generated  for  all  savings  groups  per  cycle  (US$) $52,800 Number  of  legalized  associations  (10  of  Savings  Groups) 120 The   percent   of   HH   involved   in   cash   crop   production   has   not   increased.   As   Figure   5 shows,   at   the   baseline 34%  of  respondent  HH  planted  at  least   one  cash  crop  (cashew,  groundnut,  sesame).    At   the  final  evaluation  that  figure  is  38.1%,  with  no   statistically   significant   difference between   baseline  and  final  evaluation.     Table   10 (below)  further   shows   that  there   has   been   no   significant   increase   in   production   of   any   of   three   key   cash   crops. According   to   the   FH  Agriculture  Program  Manager,  these   figures may  have  remained  constant  because-­‐ with  the   exception   of   sesame-­‐ FH   promoted   the   use   of   improved   varieties.     In   most   cases   these   varieties   were   promoted   among   participants   who   were   already   producing   cash   crops and   Baseline  N=  300;  Final  N=  333 p=  .459:  NO  difference 34%   38.1%   0%   20%   40%   60%   80%   100%   Baseline   Final   Figure  5:  Percent  of  HH  producing  at   least  one  high  value  cash  crop   Target  80%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 18 were  not  introduced  to  new  farmers.    It  is  also  important  to  bear  in  mind  that  while  the  percentage   of   HH   producing   the   crops   has   not   increased   overall   productivity   of   cash   crops   has   increased,   according  the  Annual  Agricultural  Surveys.     Using  the  gender  of  HH  heads  as  a  proxy  for  the  full   population   of   female   agriculture   participants,   the   evaluation   survey   showed   that   63%   of   female   HH   heads   have   participated   in   cash   crop production,   approximately  13%  above  the  target  of  50%.    This  increase  is  not  surprising  given  that  this  indicator   value  was  listed as  less   than   5   percent  in   the   baseline-­‐ suggesting   that   the  value  was  an  estimate.     Calculating  this  value  based  on female  HH  heads  at  the  baseline  would  have  been  likely  to  produce   similar  proportions   to   those   from   the   final  evaluation.  The  original  baseline  data  was  not  available,   making  it  impossible  to  verify  this  assumption.   Producers   of   cash   crops   have   increased   their   engagement   with   local   markets.     The   MYAP   has   supported  the  development  of  15  marketing  forums  through  which  associated  farmers  sell  produce-­‐ mostly   sesame-­‐ to  a   single  identified   buyer   out   of  Maputo.    According   to   data   provided   by   the  FH   Agriculture  team   (included  in  Table  11), participants  in   forums  have  collectively  sold  a  total  of  over   95,000kgs  of  sesame  worth  approximately  $87,900.    Unfortunately,  no  data  was  available  regarding   the   number   of   farmers   who   participate   in   those   sales,   despite   multiple   requests   for   those   figures.     If   we   know,   however,   that   9%   of   all   agricultural   beneficiaries   (total  beneficiaries:  7887)   produce   sesame   we   can   calculate   that   these   collective   earnings   have   been distributed  among  roughly  709  farmers  (7887  x  .09).    This  would  work  out  to  approximate  sales   per   capita   of   $123.97   ($87,900   /   709).     This  back-­‐of-­‐the-­‐envelope  figure   does   not   account   for any   relevant   expenses   incurred.     Once   labor   costs   are   figured   in   it   seems   like   a   relatively   low   level   of   earnings.     Data  management has  been  a weakness  in   the   agricultural   component   of   the   program.   Although  there  have  clearly  been  earnings  as  a   result  of  collective  marketing,  without  the  data   regarding   the   number   of   people   who   participated   in   those activities   it   is   difficult   to   understand   the   impact   of   these   activities   on   mean  incomes.  The  overall  data  point  ($87,000)   is  a valuable  metric  only  if  we  know  how  many   people   are   sharing   those   profits   and   at   what   rate. It   is   a   weakness   in   program’s design   that   no  indicators  were  included   the  IPTT   regarding   mean   earnings   for   participants   in   collective   marketing  activities.       In   terms   of   cash   crop   sales,   however,   Figure   6 shows that   of   those   HH   that   produced cash   crops,   61%  sold   at   least   part   of   what   they   produced.   Table  10:  HH  participation  in  cash  crops   Cash  crop Baseline Final Sig Groundnut 15% 12.30% N Cashew 25% 29.70% N Sesame 7% 9% N Table  11:  Sesame  sales  through  collective  marketing DISTRICTS 2010/2011 2011/2012 Qty    (kg) Cash  (USD) Qty  (kg) Cash  (USD) Moçimboa   6,000 $5,357 22,629 $21,821 Palma 2,715 $2,424 6,042 $5,826 Nangade 7,500 $4018 50,268 $48,473 TOTALS 16215  kg $11,799 78939kg $76,120 Final  Evaluation  data  only:  N=  127 Sold     61%   Did  not   sell   39%   Figure  6:  Percent  of  cash  crop   producers  who  sold  /  did  not  sell   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 19 While   no income   figures   were   available   for   those   sales,   the   survey   shows   that 61%   of   cash   crop   producers  earned  at  least  some  income  from  cash  crop  sales.11 Furthermore,  according  to  the  most   recent   FH   Annual   Agricultural   Survey   many   of   the   MYAP’s   agricultural   participants   sell   goods   individually   in   local   markets.     Although   sales   volume   and   earnings   data   are   unavailable   for   those   sales,  we   do  know   from   the  evaluation   that   roughly   23%   of  all   respondents  in   the   final  evaluation   (N=333)  sold  at  least  one  crop  in  the  year  previous  to  the  survey  exercise.    Together  this  data  tells  us   that  HH  in  the  MYAP  intervention  areas  have  generated  income  from  their  productive  activities.     Even  with   the  modest success   in   linking   farmers   to   collective  markets,  a   few   challenges   should   be   highlighted.     First,   farmers   in   collective   marketing   depend   entirely   on   FH   for   market   linkages.     Farmers   themselves   and   FH   staff   confirmed   this.     Farmers   have   not   received   training   in   basic   marketing  concepts  such  market  studies,  value  addition  or  price  negotiation.    Furthermore,  across  all   intervention  districts  all  farmers  who  sell  through  forums  sell  to  a  single buyer  who  determines  the   price;   farmers   do   not   actively   negotiate   in   price   or   contract   negotiations.     At   the   same   time,   this   buyer  travels  to  the  farmers  to  collect  and  pay  for  the  produce,  which  means  that  the  farmers  have   not   built   the   capacity   to   plan   and   manage   the   logistics   normally   involved   in   collective   marketing.   These   findings  run counter   to   the  understood  purpose  of  collective  marketing, which  is   to  increase   the  negotiating  and  earning  power  of   farmers.      Farmers  are  entirely   subject   to   the  buyer.    In  one   community   we   visited   during   FGDs,   for   example,   respondents   said   that   one   year   the   buyer   had   reached   his   quota   of   purchases,  and  as  a   result  he  was   no  longer  interested  in   buying   from   them,   leaving  them  with  a  glut  of  product.     Conversations   with   FH   staff   suggested   that   these  factors have   been   significant   weaknesses   in   the   program’s marketing  component.    Although  there  have  been  short-­‐term  gains  in  sales  and  incomes,   these  gains  may be  unsustainable  past  the  project’s  end.   FH  supported  the   formation  of  savings  groups   (VSLAs) in  order  to  smooth  consumption  and  reduce   vulnerability  during  lean  periods.12    According  to  data  provided  by  the  FH  M&E  Manager,  196 savings   groups  have  been  formed since  the  start  of  the  project.    Of  these,  32  have  been  legalized.    Together   3552   participants   (1693   women   /   1859   men)   in   VSLAs   have   generated a   cumulative   total   of   approximately   $201,15013 in   savings,   approximately   $44,50014 in   interest   income and   $13,915   in   social  investment   funds  during   the  life  of   the  program.    The  average   savings  group  distribution   for   each  cycle  is  approximately  $776.50,  more  than $500  above  the  target  of  $200.    The  total  of  funds   generated  for  all  savings  groups  per  cycle  (mean  of  total  savings  +  total  interest  +  total  social  funds/  5   years)  is  $51,913,  slightly  below  the  target  of  $52,800. The  savings  and  loan  methodology  used  by  FH  follows  the  standard  VSLA  model  introduced  by  local   NGO  Opavela,  with  slight  adjustments  in  its  implementation  to  respond  to  perceived  local  needs.    In   typical   VSLAs   members   establish   standard   contribution   amounts and   timelines   (e.g.,   weekly   contributions) and   impose   a   penalty   on   those  members  who   do   not   pay   into   the   savings   account.     According   to   the   FH   Agricultural   Program   Manager   VSLAs   supported   by   the   MYAP   have   not   been   required   to   establish   standard   contribution   amounts   or   penalties.   FH   made   this   decision   to   accommodate   the   extreme poverty   within   MYAP   intervention   communities and   to   support   a   high   level   of   VSLA   participation.   This   adaptation   shows  strong responsiveness   to   community   concerns;   however,   it may   also   decrease   the   effectiveness   of   the   intervention   as   a   means   to   smooth   consumption  and   reduce  vulnerability   to  shocks.    Those  people  who  are   “too  poor”   to consistently contribute   to   VSLAs   may be   only  slightly   less   vulnerable   to   shocks   than they   were   prior   to   their   participation and  may  be  far  less  prepared  for  shocks  relative  to  their  peers  who  contribute  regularly.                                                                                                                 11 Baseline  data  was  not  available  for  cash crop  sales,  making  comparison  impossible 12 Telephone  discussion  with  FH  Food  Security  Director,  April  19,  2013 13 Mtz  6,023,527  converted  to  US  $,  based  on  exchange  rate  of  1USD  =  29.  9449Mtz,  based  on  rates  found  on  www.xe.com 14 Mtz 1,333,757  converted  to  US  $,  based  on  exchange  rate  of  1USD  =  29.  9449Mtz,  based  on  rates  found  on  www.xe.com Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 20 Likewise,  under  a flexible  implementation  model  the  risk  associated  with  loans  dispersed  through  the   VSLAs  may   also   be   disproportionately   distributed   among   the   members   who   have   contributed   the   most,   effectively   increasing   their   vulnerability   as   well.15 It   is   important   to   note   that   none   of   these   assumptions  was  verified  due  to  limited  access  to  the  program’s  VSLA  data.   Nonetheless  it is   clear  is   that  FH’s support   for  VSLAs   has  led   to increased  income  through  interest   earnings  while providing 3,500  men  and  women  access  to  more  than $200,000  in  available  capital  for   livelihoods  investment  or  other  household  consumption  needs.   Impact  indicators for  SO1  are  included  in  Table  12 Table  12:  IPTT  Indicators  and  targets  for  SO1 Average  HH  Dietary  Diversity  Score 4 Average  number  of  months  of  adequate  food  provisioning >10.5 According   to   FANTA,   household   food   access   is   the   ability   to   acquire   sufficient   quality   and   quantity   of   food   to   meet   all   household   members’   nutritional   requirements   for   productive   lives.  HH  access   to   food depends   on   the   ability   of   households   to   obtain   food   from   their   own   production,   stocks,   purchases,   gathering,  or  through  food  transfers  of  one  kind   or  another.   Access  to  food  also  depends  on  the   resources   available   to   individual   HH members.   The  Household  Dietary  Diversity Score  measures   the   mean   number   of   different   food   groups   consumed  during  a  defined  time  period  and  is  a   strong   proxy   indicator   of   the   socio-­‐economic   status  of   the  household,   reflecting   their   relative   ability  to  access  food  in  appropriate  quantities  and  quality.     As  Figure  7 (above)  shows,  there  has  been  a  statistically  significant  change  in  the  HH  Dietary  Diversity   Score from 3.25 at  the  baseline  to  5.17  at  the  final   evaluation,   a   full   point   above   the   target.   On   average,   HH consume   almost   two   more   food   groups   now   than   they   did  at   the   baseline.        We   can  see  in  Table  13  that  food  group  consumption   patterns  have  changed  significantly  across  almost   all   food   groups,   with   the   exception   of   grains,   fish/seafood   and   dairy   products   which   have   all   remained   statistically   unchanged.     Seafood   is   a   staple   food,   available   with   relative   ease   in   program   communities   along   the   coast.     Consumption  was  reasonably  high  at  the  baseline   and   remained   statistically   constant   at   the   final   evaluation.   Those   communities   that   do   not   consume   seafood   are   likely   to   be   further   inland,   where   seafood   consumption  would   represent  an                                                                                                                 15 The   flexible   nature   of   VSLA   contributions   may   also   help   explain   why   aggregate   savings   seems   lower   than   one   might   expect  after  five  years  of  programming:  since  savings  were  optional,  overall  savings  rates  might  be  lower  than  they  would   have  been  under  a  model  with  minimal  required  contributions.       Table  13:  Consumption  by  Food  Group Food   Group BL Final Sig. Cereals 95.3% 97.9% N Roots  /  tubers 13.3% 30.6% Y Vegetables 42.3% 61.3% Y Fruits 25.3% 41.7% Y Meat,  poultry 7.0% 21.0% Y Eggs 4.0% 12.3% Y Fish  /  seafood 60.3% 63.7% N Legumes 9.7% 44.7% Y Dairy 2.7% 3.0% N Oils  or  fats 22.0% 68.5% Y Sugar,  honey 18.0% 33.6% Y Miscellaneous 25.3% 36.0% Y Baseline  N=  300;  Final  N=  333 p=  .000 3.25   5.17   0   1   2   3   4   5   6   7   8   9   10   11   12   Baseline   Final   Figure  7:  Household  Dietary  Diversity   Score   Target  4   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 21 additional   cost   for   families.     This   would   have   been   true   both   before   and   after   the   intervention,   explaining  the  lack  of  change.    Grains  are  the  staples  of  the  local  diet.  Unsurprisingly,  more  than  95%   of  respondents  at  both  the  baseline  and  final  evaluations  consumed  these  items. Dairy  consumption   has  remained  consistently  low  at  both  the  baseline  and  final  evaluations.    This  is  because  there  is  no   local  production  of  dairy  in  Cabo  Delgado.  Because  of   the  remote  location  of   the  province   the  vast   majority   of   dairy   products   (such   condensed,   evaporated   or   powdered   milk)   are   imported,   making   them  prohibitively  expensive  for  most  poor  families.  As  a  result  of  their  cost,  most  families  choose  to   consume  other  more  accessible  items.   A   HH’s ability   to   meet   its   food   needs   often   varies due   to   factors   like the   quality   of crop   production (for   any   number   of   reasons,   including   climate   factors,   soil   quality,   input   quality,   etc.)   and   an   increase or   decrease   in   income   sources.    If   we   look   at   Figure   8   we   can   see   that   the   mean   number   of   Months   of   Adequate   Household   Food   Provisioning   has   experienced   a   statistically   significant   increase,   from  9.87  to  11.16,  achieving   the   target   for   the   program. Figure  9  (below)  shows  that peak  hunger  occurs between   November   and   March   in   both   data   sets;   however, the   magnitude   of   hunger   experienced  between  January  and  March  reduced  dramatically  at  the  final  evaluation. Overview  and  Discussion  of  Agriculture  Findings Table  14 Comparative  Summary  of  Baseline  and  Final  Agricultural Indicator Values for  SO1 Indicator BL FE %  Point  /   Numerical   Difference Sig. IMPACT:  Livelihoods protected  and  enhanced Average  number  of  months  of  adequate  food  provisioning 9.87 11.16 +1.29 Y Average  Household  Diversity  Score 3.25 5.17 +1.92 Y Production  diversified  and  productivity  increased Percent  of  HH  with  intensive  dark  green  leaf  production 71.7% 91% +19.3% Y 0%   10%   20%   30%   40%   50%   60%   Jan   Feb   Mar   April   May   June   july   Aug   Sept   Oct   Nov   Dec   %  with  Inadequate  Food   Figure  9:  Months  of  Adequate  HH  Food  Provisioning  in  Compara]ve  Perspec]ve   Baseline   Final   Baseline  N=  300;  Final  N=  333 p=  .000 9.87   11.16   0   1   2   3   4   5   6   7   8   9   10   11   12   Baseline   Final   Figure  8:  Average  number  of  months   of  Adequate  Food  Provisioning   Target  >10.5   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 22 Percent   of   HH   adopting   and   diversifying   production   by   including  at  least  1  new  leguminous  nutritious   food  crop  in   farming  system 37.3% 58% +20.7% Y Percent   of   beneficiaries   (farmers)   using   at   least   3   sustainable  agricultural  technologies  in  the  past  year 32.7% 67% +34.3% Y Percent   of   fruit   and   cashew   farming   training   beneficiaries   practicing  at  least  two  improved  fruit  growing  techniques  in   the  past  year 0 73% + NA Percent  of  HH  adopting  sustainable  non  chemical  grain  and   seed storage  protection  techniques 0 63% + NA Productivity  (kg/ha)* (1)  Sesame   (2)  Groundnut   (3)  Cow peas   (4)  Rice (Nerica) *Data  from  Annual  Agricultural  Survey) 428 426 383 677 661 617 745 1028 +233 +191 +362 +351 NA Natural  resource  base  enhanced  and  protected Percent   of   NRM   training   beneficiaries   that   implemented   3   OR  MORE  improved  NRM  practice  in  their  fields  in  the  past   year 32.7% 67% +34.3% Y Market  links  and  economic  opportunities Percent  of  HH  producing  at  least  1  high  value  improved  cash   crop 34% 38.1% +4.1% N Percent  of  women  participating  in  cash  crop  production <5% 63% + NA Average  savings  group  distribution  value  per  group  at  end  of   cycle 0 $776.5 0 + NA Total  funds  generated  for  all  savings  groups  per  cycle  (US$) 0 $51,91 3 + NA Number  of  legalized  associations  (10  of  Savings  Groups) 0 32 + NA Of   the  16 indicators  included  in   the  IPTT   for  agriculture16,  15 of   them  experienced  positive  change.     Of  the  6  for  which  statistical  tests  of  significance  were  conducted,  5  of  them  experienced  statistically   significant  change.  Four  indicator  values  fell  below  program  targets,  while  the  rest  met  or  exceeded   target  values.17 For   production   and   diversification,   overall   outcomes   were   somewhat   mixed,   with   a   significant   increase   in   the   percent   of HH   planting   dark   green   leaf   vegetables   and   incorporating   at   least   one   leguminous  plant  into  their  production.   At  the  same  time,  however, no  single  leguminous  crop  has   seen  statistically  significant increases   in   production   nor   has   there   been any  statistically  significant   increase  in  the  percent  of   farmers  planting  three or  more  crops,  suggesting  that  overall  production   diversification  objectives  may  have  fallen  short.  If  we  use  the  yield/production  data  derived  from  the   FH  Annual  Agricultural  Survey  (which, for  reasons  described  above  may  be  somewhat more  reliable   than  the  yield  data  from  the  final  evaluation)  then  it  appears  as  if  productivity  has  increased  across   all  four  of  the  program’s  target  crops.    These  figures  should  be  viewed  cautiously,  however,  since  the   data  could  not  be  verified.   Nonetheless,  it  is  important  to  note  that  both farmers  and  FH  staff  also   confirmed  through  qualitative  discussions  that  they  have  seen  increases  in  productivity.   If  possible  it   is  advisable  that  FH  work  with  an  external  consultant  to  facilitate  the  final  Annual  Agriculture  Survey   to  validate  the  results  presented  in  this  report.                                                                                                                 16 The  indicators  regarding  technology  adoption  under  IR1.1  and  NRM  under  IR1.2  are  the  same.    They  are  counted  once. 17 Productivity  values  from  the  FH  Annual  Agricultural  Survey  (and  NOT  the  Final  Evaluation  survey)  are  being  used  here Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 23 There  was  a  high  degree  of  adoption  of  sustainable  agriculture  practices  to  enhance  and  protect  the   natural  resource  base.    With  the  exception  of  green  manuring  and  agroforestry  all  other  technologies   promoted  by  the  program  saw  statistically  significant  increases.    While  the  impacts  of  these  practices   were not   measured   or   verified   during   the   evaluation   exercise,   farmers   from   the   program’s   FFLGs expressed  the  belief  that  the  technologies  were  at  least  partially  responsible  for  gains  in  production.   The  one  exception  was  with  organic  pesticides.    These  were  viewed  as  ineffective  by  farmers  in  FGD,   and   FH   staff   confirmed   that   the   use   of neem may have   undermined   that   component   altogether.     Farmers  are   satisfied with  FFLGs  as  a   sustainable  means   to   transmit  technical  assistance messages   and  support   replication   of   best   practices   among   farmers,   and   they   confirmed   that   they   meet   as   groups  even  in  the  absence  of FH  staff.    Given  the  staffing  and  resource  constraints  of  the  Ministry  of   Agriculture,   this   is  an   important  benefit that   can   serve  as   the   foundation   for   continued   farmer-­‐to-­‐ farmer  based  agricultural  extension  support  in  the  future. Market  links  and  economic  opportunities have  increased  as  a  result  of  the  program.    While  there  has   been   no   significant   change   in   the   percent   of   HH   producing   cash   crops,   at   least   60%   of   those   who   produce   cash   crops   are   selling   a   portion   (or   all)   of   them   either   collectively   or   individually   at   local   markets.   Data  provided  by  FH  staff  regarding  income  from  collective  marketing  and  VSLAs  was  not   verifiable, but taken   at   face   value   at   least   $130,000   in   new income  ($87,000   from   sesame   sales   +   $44,500  in  interest  income   from  VSLAs)  has  been  generated   through   those  activities,  not  including   any   income   generated   through   additional   individual   marketing   activity.     Furthermore,   the   total   collective  savings  of  VSLAs  represents  at  least  $200,000 of  available  capital  through  loans from VSLA   funds. Farmers   have   not   received training   to   support   increased   market-­‐based production.   Farmers   have   not  gained  skills  in  market  analysis,  negotiation,  value  addition  or  processing,  and   the  program  has   not   strengthened   other   linked   business   to   ensure   integral   and   strong   value   chains. As   a   result   marketing  gains  may  be  short-­‐lived.  Farmers  are selling  collectively  through  markets,  but  that  is  the   result   of   good   timing,  the   persistent   support   of   FH and   the   unusual circumstances   that   bring   the   buyer  to  them,  rather  than  expecting  them  to  transport  to  the  buyer.    Farmers  are  dependent  on  FH   for  the  existing  market  linkages in  the  program;  without  the ongoing support of  FH  and  the  existing   interest  on  the  part  of  the  buyer  that  linkage  will  not  be  sustained.       VSLAs   are working:  HH   are   saving  money,  earning   interest   and   giving/receiving loans.    It  might   be   worth   exploring   whether   the   flexibility   of   the   groups may   keep   VSLAs   from   reaching   their   full   potential   as   a   consumption   smoothing   and   vulnerability   reduction   mechanism.   Since   the   most   vulnerable   can   always   find   reasons   not   to   save,   they   be   perennially   at   risk.     Furthermore,   this   arrangement   could increase   the   vulnerability   of   members   who   do   contribute   regularly   by   disproportionately  placing  the  risks  for  VSLA  loans  on  their  shoulders. Overall   sustainability  of   the  agriculture  program  could  be  at   risk  when   the  program  ends   since   the   Ministry  of  Agriculture  does  not  have  the material  or  human  resources  capacity  to  provide  ongoing   follow-­‐up  or  extension  support.  The  MoA has  a  list  of  formally  “recognized”  volunteers,  including  the   149   community-­‐based   agricultural   promoters   who   have   worked   with   FH   agricultural   and   VSLA   participants.     However,   the   Ministry   has   logistics   challenges   and   resource   constraints   that   do   not   allow   them   to   provide   any   kind   of   incentives   for   the   volunteers,   which   means   ongoing   support   is   unlikely  to  happen  in  any  meaningful  way.   Despite   these  challenges,   the  program’s  agricultural  component  has  achieved   results  in  production   levels  and  income  generation  that  are  likely  to  have  contributed  to  increased  food  access. Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 24 B.  Strategic  Objective  2  (Health): Protect  and  enhance  human  capabilities  through  improved   health  and  nutritional  status  of  pregnant  women,  preschool  children  and  HIV+  individuals To  address  food  utilization,  FH  promoted positive  health  and  nutrition  behaviors  for children  0-­‐ 24 months of   age.     The   program   used the Care   Group   model to: 1)   improve   nutrition   behaviors   and   practices;  2)  strengthen  home  management  of  illness;  and  3)  promote  Essential  Hygiene  Behaviors.       At  the  same  time,  FH  supported  the  reduction  of  fecal  and  water  borne  diseases  through  improved access   to   clean  water  and sanitation  facilities.   Findings for  each   of  the   indicators   relating   to these   interventions  are  included  below,  organized  by  Intermediate  Result.     Intermediate  Result  2.1:  Improved  use  of  Essential  Nutrition  Actions  (ENA)  by  pregnant  women  and   mothers  of  young  children. Appropriate  breastfeeding  and  complementary  feeding  practices  play  a  significant  role  in  improving   the   health   and   nutrition   of   young   children   and   confer   significant   long-­‐term   benefits   during   adolescence  and  adulthood. The  relevant  indicators  and  targets  for  FH  activities  related  to  ENA  are   included  in  Table  15. Table  15:  IPTT  Indicators  and  targets  for  IR2.1 Percent  of  children  0-­‐6 months  of  age  who  started  breastfeeding  within  one  hour  after   birth 80% Percent  of  children  0-­‐6m  who  were  exclusively  breastfed  in  the  last  24h 90% Percent  of  children  12-­‐15  months  of  age  who   received  breast  milk  during   the  previous   day 98% Percent  of  infants  6-­‐8  months  of  age  who  received  solid,  semi-­‐solid  or  soft  foods  during   the  previous  day 98% Percent  of  breastfed  and  non-­‐breastfed  children  6-­‐24 months  of  age  who  received solid,   semi-­‐solid   or   soft   foods,   with   the   minimum   required   dietary   diversity   and   minimum   number  of  times  a  day 98% Percent   of   caregivers  who   took   their   child  aged   0-­‐24m   for  an  evaluation   of   nutritional status  in  the  last  four  months 95% Figure  10 shows  that  a  total  of  65.8%  (LCL  61.2%  /  UCL  70.5%) of  children aged  0-­‐6  months across  the   program   districts   breastfed   within   one   hour   of  birth,  representing  a  statistically  significant   increase   over   the   baseline.     According   to   WHO,  infants  who  breastfeed  within  the  first   hour   interact   more   with   their   mothers,   stay   warmer  and  cry  less.  Early  breastfeeding  has   also   been   linked   with   decreased   neonatal   mortality.   Additionally,   a   causal   association   between   early   breastfeeding   and   reduced   infection-­‐specific   neonatal   mortality   has   been   reported,   supporting   the   recommendation   of   early   initiation.18 Breast   milk has  anti-­‐infective  properties  that  help  to   protect   the   infant   against   infections.                                                                                                                 18 Essential  Nutrition  Actions  Improving  Maternal-­‐Newborn-­‐Infant  and  Young Child  Health  and  Nutrition,  World  Health   Organization,  2011.    Found  on  May  13,  2013  at:   http://www.who.int/nutrition/EB128_18_backgroundpaper2_A_reviewofhealthinterventionswithaneffectonnutrition.pdf Baseline  N=  299;  Final  404 p=  .019        25.4%    65.8%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline  Evaluason   Final  Evaluason   Figure  10:  Percent  of  children  who   breasced  within  1  hour  ader  birth   Target  80%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 25 Colostrum,   the milk   produced   in   the   first   few   days,   is   the   first   "essential   immunization".19 The increase in  this  indicator  is approximately  14 percentage  points lower  than  the  target.    However,  it  is   important   to   highlight   that   in   the   Cabo   Delgado   context   the   colostrum   is   traditionally   considered   “dirty”  milk.    In  the  context  of  such  strong  negative  cultural  connotations  for  early  breastfeeding  the   initial  target  might  have  been  unrealistic. As  we   can   see   in   Figure   11,   exclusive   breastfeeding  among   children   between   0-­‐ 6 months has also   increased   since   the   baseline,   increasing   approximately   70 percentage   points since   the   start   of   the   program.    Current  EBF  has  reached  a  level  of   79.4% (LCL  72.3%  /  UCL  86.4%),  a  level  slightly lower   than   the   program   target.     Exclusive   breastfeeding   for   the   first   six   months   is   an   unequalled   way   of   providing   ideal   food   for   the   healthy   growth   and   development   of   infants.     Breast   milk   is   the   natural   first   food   for   babies,   it   provides   all   the   energy   and   nutrients   that   the   infant   needs   for   the   first   months   of   life,   promoting   sensory   and   cognitive   development,   and   protecting against infectious   and   chronic   disease.   Exclusive   breastfeeding   reduces   infant   mortality  due   to  common  childhood  illnesses   such  as diarrhea  or  pneumonia,  and  helps  for   a  quicker   recovery  during  illness.  Thereafter  infants  should  continue   to  breastfeed up   to  2  years  of   age  (or  beyond). 20     In   terms   of   breastfeeding   for   older   children,   the   percent   of   children   12-­‐ 15   months   of   age   who   received  breast  milk in   the  24  hours  prior   to   the  survey remained  unchanged  between   the  baseline   and  final  evaluations (96%  at  baseline,  94%  at  final  evaluation).    This  indicator  was  high  at  baseline,   with  targets  set  at  only  4 percentage  points above  initial  levels.         All  infants  should  start  receiving  foods  in  addition  to  breast  milk  from  6  months  onwards.    As  Table   16 demonstrates,  introduction  of  solid,  semi-­‐solid  or  soft  foods  for children  between  6  and  8  months old   showed   no   significant  increase  over   the   baseline,  evidenced   by   the slight   overlap   between   the   confidence   intervals   of   the   baseline   and   final   evaluation   proportions;   the   proportion   of   children   between  6  and  8  months  who  receive  complementary  feeding  is  likely  to  lie  somewhere  between  the   baseline  and  final  values.                                                                                                               19 Infant  and  Young  Child  Feeding  Summary  Sheet,  Save  the  Children;  found  on  May  29,  2013  at:   http://www.savethechildren.org/atf/cf/%7B9def2ebe-­‐10ae-­‐432c-­‐9bd0-­‐df91d2eba74a%7D/Summary-­‐Sheets-­‐All.pdf 20 http://www.who.int/nutrition/topics/exclusive_breastfeeding/en/;  found  on  May  10,  2013 Baseline  N=  67;  Final  N=  126 p=  .000 Table  16:  Complementary  Feeding Percent   of   children   between   6-­‐ 8   months   who   received   any   solid,   semi-­‐solid   or   soft   foods  during  the  previous  day B.L.  % LCL UCL F.  E.  % LCL UCL 78% 65.4% 90.7% 95.9% 90.4% 100% 6%        79.40%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  11:  Percent  0-­‐  6  mos.  BF   exclusively  in  the  last  24  hours   Target  90%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 26 When   we   look   at   the   adequacy   of   complementary   feeding we   can   see   in   Figure   12 that,   although   there   has   been   a   statistically   significant   increase   over   the   baseline,   the   frequency   and   variety   of   foods   to   cover   the   nutritional   needs   of   children  between  6-­‐ 24 months falls below  the   program  target of  98%.    At  the  final  evaluation   27.6%   (LCL   22.3%   /   UCL   33%) of   children   between   6-­‐ 24 months   receive   adequate   diversity   and   sufficient   meals   per   day,   approximately  70 percentage  points below  the   target   for   the   program.   This   indicator   is   a   complex   composite   of   minimum   number   of   meals   and   minimum   dietary   diversity   for   the   age  groups  of   6-­‐ 8  months  and   9-­‐ 24 months.     When   we   look   at   the   indicator   by   age   group,   we   see   a   similar   pattern across   both   groups.     For  children  between  6-­‐ 8  months,  only  26.5%   receive  adequate  dietary  diversity  and  number   of  meals  (defined  as  4  food  groups  and  at  least   2  meals  per  day).    For  9-­‐ 24 months,  27.9%  receive  adequate  dietary  diversity  and  number  of  meals   (defined  as  4  food  groups  and  at  least  3  meals).    Given  the  complexity  of  this  indicator  the  program   target  of  98%  was  highly  unrealistic  especially  since  the  baseline  value  was  close  to  0.   Regular  Growth  Monitoring  and  Promotion   (GMP),  is  a key  part  of  identifying  children  with  growth   deficiencies   and   preventing   further   nutritional   and   health   deterioration.   Health   personnel   have   weighed   the   majority   of   children   regularly both   before   and   after   the   intervention.     There   was   a   statistically  significant  change  from  83.3%  to  93.7%  (LCL  91.2  /  UCL  96.1%).    It  is  important  to  note,   however, that  the  interpretation  of  the  MoH  health  card  posed  a  challenge for  survey  enumerators.     The  MOH  card  includes  both  a  weight-­‐for-­‐age  graph  and  an  area  to  note  the  weight-­‐for-­‐age and  the   next  appointment  date.    The  cards  were  filled  out  inconsistently  within  and  across  project  areas,  and   in   many   cases the   cards   did   not   note   the   date of   the   previous   weighing   session.   Interviewers   estimated dates based   on   their   individual   understanding   and   interpretation   of   the   cards,  which   is   likely  to  have  introduced  bias  in  the  data.   Nevertheless,  it  was  clear  that  the  majority  of  children  are   being  weighed  regularly.   Intermediate   Result   2.2:     Improve   mothers’ ability   to   prevent,   diagnose,   and manage   common   childhood  illnesses Under   IR2.2   FH proposed   to   address:   increased   knowledge   about   the   signs   of   childhood   illness,   prevention   of   diarrhea   (through   promotion   of exclusive   breastfeeding;   hand-­‐washing   with   sand   or   ash   using   household   hand-­‐washing   stations,   care   of   household   water   and   food,   promotion   of   household   latrine   construction); prevention   and   treatment   of   malaria;   and   increased knowledge   about  HIV  prevention.    The  indicators  and  targets  under IR  2.2  are  included  in  Table  17. Table  17:  IPTT  Indicators  and  targets  for  IR2.2 Percentage   of   participant   caregivers   of   children   age   0–24 months   who   know   at   least   three  signs  of  childhood  illness  that  indicate  the  need  for  treatment   90% Percentage   of   pregnant   women   or   caregivers   of   children   0-­‐24m   who   can   name  three methods  of  preventing  HIV 70% Proportion   of   caregivers   of   children   6-­‐24m   of   age   who   gave   the   same   or   more   food   during  a  childhood  illness  in  the  past  two  weeks 85% Baseline N=  231;  Final  N=  268 p=  .000 3%   27.6%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  12:  Percent  of  6-­‐  24  month  olds   with  adequate  dietary  diversity  and   number  of  meals   Target  98%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 27 The   percent   of   caregivers   of   children   0-­‐ 24 months  who  can  identify   three  or  more  signs  of   childhood  illness has  increased  over  the  baseline   at   a   statistically   significant   level.     As   Figure   13 shows,   49%   (LCL   44.1%   /   UCL   53.9%) know   at   least  three  signs  of  illness.    While  this  represents   a   gain   of   more   than   20 percentage   points,   the   achievement   falls   approximately   30 percentage   points short   of   the   program   target   of   80%.     Given   that   this   is   an   indicator   measuring   knowledge and   not   practices   / behavior   we   would  expect  to  see  higher  gains.    Knowledge  is   usually  the  easiest  level  of  result  to  influence,  as   it   is   typically   the   most   linear   input-­‐output   relationship  in  a  project  intervention. Table  18 provides  a  break  down  of  knowledge  levels  by  typical  danger  sign  between  the  baseline  and   final   evaluations.       As   the   table   shows,   there   has   been   virtually   no change   in   knowledge   levels   regarding  danger  signs  on  6  out  of  7  key  signs.     The   only   one   that   showed   statistically   significant  change  since  the baseline  is  “appears   unwell,   won’t   play”.     None   of   the   others   have   seen   any   improvement   over   the   time   of   the   MYAP. A   total   of   26.2%   of   caregivers   reported   that   their  child  between  0-­‐ 24 months  had  diarrhea   in   the   two   weeks   previous   to   the  survey. This   represents   a   statistically   significant   decrease   compared   to   the baseline  of  36.8%,   suggesting   that  behaviors  related  to  prevention  have  begun  to  change,  even  if  slightly. More  details  regarding   hygiene  factors  that  influence  diarrhea  are  included  under  the  section  for  IR2.3,  below. Malaria   prevention   has   also   improved   since   the   baseline.   Bed net   ownership   (all   types)   saw   a statistically   significant   increase   from   73.6%   at   the  baseline  to  86.4%  (LCL  83%  /  UCL  89.7%) at the   final   evaluation.     The   percent   of   children   sleeping   under   bed   nets   did   not   increase   significantly   over   the   baseline;   however,   the   percent  of  HH  with  treated  bed  nets  increased   dramatically,   from   36.8%   at   the   baseline   to   90.5%   (LCL   87.5%   /   UCL   93.6%) at   the   final   evaluation.    Even  if   the  proportion  of  children   sleeping   under   bed   nets   has   remained   the   same,   almost   three   times   more   children   are   sleeping  under  ITNs.   The  percent  of  respondents  who  have  heard  of   HIV/AIDS   has   increased   over   the   baseline,   from  89.9%  (LCL  86.4%  /  UCL  to  93.3%) to  98.5   (LCL  97.3%  /  UCL  99.7%).    Likewise,  the  percent  of  caregivers  who  can  name  at  least  three  methods   for  preventing  HIV has  increased.  As  Figure  14 (above) demonstrates,  there  has  been  an  increase  of   Baseline  N=  295;  Final  N=  404 p=  .000 Table  18:  Recognition  of  signs  of  illness,  by  sign Sign  of  illness BL Final Sig. Appears   unwell,   won’t   play 60% 70% Y Won’t  eat  or  drink 33% 41% N Lethargic,   difficult   to   wake   6% 5% N High  fever   88% 87% N Rapid   or   difficult   breathing 7% 13% N Vomits  everything 8% 14% N Convulsions 3% 1% N Baseline  N=  266;  Final  N=  394 p=  .000 25.8%        49%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  13:  Percent  who  know  at   least  3  signs  of  childhood  illness   Target  80%   9%   27.7%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  14:  Percent  who  can  name  3  or   more  HIV  preven]on  methods   Target  70%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 28 approximately   20 percentage   points.   Nonetheless,   the   achievement   is   also   approximately   40 percentage   points below   the   program   target.     Like   with   the   indicator   regarding   signs   of   childhood   illness,  this  indicator  measures  knowledge  and  not  practices  or  behavior;  as  a  result  we  would  expect   achievement  to  have  been  higher. The  percent  of  children  experiencing   fever  in  the  two  weeks  prior  to  the  survey  remained  constant   between  the  baseline  and  final  evaluations  (52%,  58%,  no  significant  difference).        There  was  also  no   statistically  significant difference  between   those  who   took   their  child   to   the  hospital when  he/  she   had   fever between  the  baseline  and   final.    There  is,  however,  a  statistically  significant  difference  in   the   time  between   the  onset  of   fever  and   the  visit   to  hospital.    At   the  baseline 53.6%  of  caregivers   took  their  child  to  the  hospital  at the  onset  of  fever  (within  one  day),  while  this  figure  increased  to   76.5%   (LCL   69.3%   /   UCL   83.6%) at   the   final   evaluation,   suggesting   that   there   has   been   an   improvement  in  malaria  care  seeking  behavior.     Table  19  (below)  shows  key  values  of  the  indicators  relating  to  home-­‐based  care.  There  has  been no   significant   change   over   the   baseline   in   the   proportion   of   caregivers   providing   a   sick   child   with  the   same   or  more   food   during   illness.     There  has   also   been no   significant   change   in   the   proportion   of   caregivers  who  breastfed  a  sick  child  the  same  or  more  during  illness,  suggesting  that  household  care is   still   lacking.     Likewise,   there   has   also   been   no   significant   change   in   the   percent   of   children   who   received   oral   rehydration   salts   (ORS) during   diarrhea,   although   at both   the   baseline   and   final   evaluation  it  is  important  to  note  that  the  percent  of  children  receiving  ORS  was  relatively  high. Table  19:  Key  treatment  indicators Indicator B.L.  % LCL UCL F.  E.  % LCL UCL Percent   of   caregivers   who   gave   children   0-­‐ 24 months   the   same   or   more   food   during   illness 37.5% 26.3% 48.7% 51.2% 40.6% 61.7% Percent  of  caregivers  who  breastfed  children   0-­‐ 24 months   the   same   or   more   during   illness 51.1% 47.3% 66.9% 69.2% 60.4% 78.1% Percent   of   children   0-­‐ 24 months   who   received  ORS  during  diarrhea 85.2% 77.4% 92.9% 62.4% 52.5% 72.2% Intermediate  Result  2.3:    Improved  access  to  clean  water,  sanitation  facilities  and  essential  hygiene   behaviors  (EHB) According  to  the  original  project  design,  many  households  in  the  target  had  a low  level  of  access  to   and  use  of  potable  water  and  proper   sanitation   facilities at   the   start  of   the  program.   To  decrease   household   vulnerability   to   unclean   water   and   poor   sanitation,   FH   constructed wells   and   public   latrines,   promoted   construction   of   simple   HH   latrines and   provided   training for   improved   hygiene   behaviors through  Care  Groups.    The  IPTT  indicators  and  targets  under  IR2.3 are  included  in  Table  19. Table  20:  IPTT  Indicators  and  targets  for  IR2.3 Percentage  of  beneficiary  caregivers  demonstrating  proper  personal  hygiene  behaviors 95% Percentage   of   beneficiary   caregivers   demonstrating   proper   environmental   hygiene   behaviors 95% Proportion  of  caregivers  demonstrating  proper  food/water  hygiene  behaviors 40% Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 29 FH   and   partner   JAM   constructed a   total   of   52 wells,   including   17 tube   wells   and   35 shallow   wells across  30  communities  (approximately  60%  of  all  communities  in  the  MYAP).21 As  Figure  15 shows,   access   to   improved   water   sources   has   approximately   doubled   during   the   life   of   the  program (LCL  58.4%  /  UCL  68.7%).  This   is  a   statistically   significant   change   over   the   baseline.     Furthermore, of   those   with   access   to   an   improved   water   source,   95%   percent have access   year-­‐round   and   can   access  the  water  source  within  a  10-­‐minute   (median)   walk   from   their   home.     It   is   important   note,   albeit   anecdotally,   that   during   several   field   visits   for   qualitative   discussions   the   team  observed  a   high  level   of  use  of  wells  constructed  with  FH  support.       In  each  location  the  wells  were  in  constant   use  by  community  members.     Hand  washing  is  one  of   the  most  effective  means  of  preventing  diarrheal  diseases,  along  with  safe   stool  disposal  and  safe  and  adequate  household  water  supply.  Evidence  suggests  that  improved  hand   washing   can   have   a  major   impact   on   public   health   and   significantly   reduces diarrheal   disease   and   acute   respiratory   infection-­‐ the   two   leading   causes   of   childhood   mortality.   Because   hand   washing   with  soap  can  prevent  the  transmission  of  a  variety  of  pathogens,  it  may  be  more  effective  than  any   single   vaccine   or   hygiene   behavior.   During   the   course   of   the   MYAP   there   has   been   a   statistically   significant   increase   in   the   percent   of   caregivers   demonstrating   proper   personal   hygiene behaviors. This   is   a   composite   indicator   that   measures   (1)   whether   caregivers  report  washing their  hands  at  two   or   more   appropriate   times   and   (2)   whether   they   have   available   water   and   soap/ash   for   hand   washing.   Figure   16 illustrates   that   composite   personal   hygiene   behaviors   have   increased   approximately   40 percentage   points over  the  baseline to  42.3%  (LCL  37.5%   /   UCL   47.1%).       Despite   the   increase,   achievement   on   this   indicator   is   still   approximately   50 percentage   points below   the   program   target.     If   we   look   at   hand   washing   behaviors   alone,   the   percent   of   caregivers  who report washing their  hands  at  two  or  more  appropriate  times  has  virtually doubled,   from   42.5%   at   the   baseline   to   83.4%   (LCL 79.8%  /  UCL  88%).    This  change  is   statistically  significant. Table   21 illustrates   the   detail   regarding hand   washing.     The   only   response   that   did   not   change   since   the   baseline   is   “never.”   Approximately  5%  of   respondents  do                                                                                                                 21 FH  Mozambique  program  data  provided  on  April  5,  2013 Baseline  N=  299;  Final  N=  404 p=  .000 Baseline  N=  299;  Final  N=  404 p=  .000 Table  21:  Hand  washing  practices Hand  washing BL Final Sig. Never 9% 5% N Before  Food  preparation 44% 88.5% Y Before  giving  food  to  children 22% 62.8% Y After  defecating 33% 70.3% Y After  caring  for  a  child  who   defecated 27% 55.3% Y 34.1%   63.1%   0%   20%   40%   60%   80%   100%   Baseline   Final   Figure  15:  Percent  of  caregivers  with   access  to  improved  water  sources   2.7%   42.3%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  16:  Percent  of  caregivers   prac]cing  proper  personal  hygiene   Target  95%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 30 not  wash  their  hands  at  any  of  the  appropriate  /  necessary  times.    One  category  that  still  seems  low   in   comparative   perspective   is   the   percent   of   respondents   who   wash   their   hands   after   caring   for   a   child  who  defecated.    It  increased  by  approximately  30 percentage  points but  is  still  far  less  common   than  the  other  responses.   Proper   environmental   hygiene   is   a   key   component   to   ensuring   the   health   of   young   children.     As   Figure  17  shows there  has  been  a  statistically   significant   increase   in   the   percent   of HH   practicing   proper   environmental   hygiene, from  16.4%  at  baseline  to  59.9%  (LCL  55.1%  /   UCL   64.7%) at   the   final   evaluation.       Achievement  is  approximately  35 percentage   points below   the   target.     It   is   important   to   point   out   that   in   the   baseline questionnaire the   question   referring   to   disposal   of   children’s   feces   was   phrased   as   “where   did   children  go  to  the  bathroom?”  as  opposed  to   “where  did  you  dispose  of  children’s   feces?”     The   question   was   not   modified   in   order   to   ensure   comparability   of   responses between   the   baseline   and   final   evaluations;   however,   the   phrasing   of   the   question   may   have   also affected  its  interpretation  by  respondents.   When   we   think   about   environmental   hygiene   we   must   also   consider the   overall   practices   of   the   family.    To  reduce  open  defecation  and  support  the  program’s  hygiene  component  FH promoted HH   latrines.    While  FH  did  not  provide  materials,   they  did  provide  training  and  orientation  on  a   simple   model   for   HH   latrines   using   locally   available   materials.     The   latrine   is   a   simple   dug   pit   (unlined),   covered   with   a   crosshatch   of   sticks   and   mud   with   a   small   opening   left   for   defecation   and   urination.     During   fieldwork  it was  clear  that  these  latrines  were   widely   replicated   across   MYAP   intervention   communities.       Based   on   53   individual   case   observations,   the latrines   are   used   regularly at   the   HH   level.     However,   as   Figure   18   shows,   only   40%   of   observed   latrines   had   a   cover   for   the   latrine’s   opening,   creating   a   potentially   significant   disease   vector   at   the   household   level.     Given   that   the   purpose   of   the   latrines   was   to   improve   environmental   hygiene,   this   finding   is   important   as   it   potentially   undermines  that  purpose.     Baseline  N=  299;  Final  N=  404 p=  .000 N=  53 NO  test  of  statistical  significance  performed 16.4%   59.9%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final   Figure  17:  Percent  demonstra]ng   proper  environmental  hygiene   Target  95%   Opening   covered   40%   Opening   Not   covered   60%   Figure  18:  Percent  of  HH  latrines   with  a  "lid"  for  the  opening   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 31 The   indicator   regarding water hygiene   behaviors measures the   degree   to   which   caregivers   take   proper   measures   to   both   treat   and   store   water as   a   means   to   preventing   diarrhea.   As   Figure   19 shows,   this   indicator   value   has   seen   a   statistically   significant   changed   from  4.7%  at   the   baseline   to   29.2%   (LCL   24.8%   /   UCL   33.6%) at   the   final   evaluation.     This   falls   approximately   10 percentage   points below   the  program  target.    If  we  look  individually  at   the   component   indicators,   approximately   34%   of   caregivers   practice   any   single   water   treatment  method,  while  almost  all  (98%,  N=   392) store  their water  in  containers  with  lids.     This   suggests   that   water   treatment   is   the   major   barrier   to   overall   improved   food   and   water   hygiene.     It   is   unclear   why   this   is   the   case,   although   the   increased   costs   of   water   treatment  may   be   a   partial   explanation.     To   boil   water,   firewood   is   required.     Firewood   takes   time   to   collect, and   boiling   enough   water   for   a   family   would   dramatically   increase   both   the   amount  of   firewood  and  the   time   required   to  collect  it.    Additionally,  boiling  water   takes   time  and   leaving  it  out  to  cool  is  sometimes  a  challenge  if  a  family  only  has  a  limited  number  of  pots  and  they   are  needed  for  the  next  meal.22 Overview  and  Discussion  of  Health  Findings Table  22 Comparative  Summary  of  Baseline  and  Final  Health  Indicator  Values  for  SO2 Indicator BL FE %  Point   Difference Sig. Essential  Nutrition  Actions %  0-­‐5.9  who  started  breastfeeding  one  hour  after  birth 25.4% 65.8% +40.4% Y %  0-­‐5.9m  who  were  exclusively  breastfed  in  the  last  24h 6% 79.4% +73.4% Y %   12-­‐15   months   of   age   who   received   breast   milk   in   the   previous  day 96% 94% -­‐2% N % 6-­‐8  months  of  age  who  received  solid,  semi-­‐solid  or  soft   foods  during  the  previous  day 78% 95.9% +17.9% N % 6-­‐23m   who   received   solid,   semi-­‐solid   or   soft   foods,   minimum  dietary  diversity  and  #  of  meals 3% 27.6% +24.6% Y %  0-­‐23.9m  who   received nutritional evaluation  in   the  last   4 months 83.3% 93.7% +10.4% Y Diagnosis,  prevention  and  treatment  of  illness %  Caregivers of  children 0–23  who  know  at  least  3  signs  of   childhood  illness  that  indicate  the  need  for  treatment   25.8% 49% +23.2% Y %   Of pregnant   women   or   caregivers   of   children   0-­‐23m   who  can  name  3  methods  of  preventing  HIV 9% 27.7% +18.7% Y %   Caregivers of   children   6-­‐23.9m   who   gave   the   same   or   more  food  during  a  childhood  illness  in  the  past  two  weeks 37.5% 51.2% +13.7% N Water,  sanitation  and  hygiene %   Caregivers demonstrating   proper   personal   hygiene   behaviors 2.7% 42.3% +39.6% Y %   Caregivers demonstrating   proper   environmental   16.4% 59.9% +43.5% Y                                                                                                               22 Email  correspondence  with  FH  Health  Advisor,  May  24,  2013 Baseline  N=  299;  Final  N=  404 p=  .000 4.7%    29.2%   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Baseline   Final     Figure  19:  Propor]on  demonstra]ng   proper  water  hygiene   Target  40%   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 32 hygiene  behaviors %   Caregivers demonstrating   proper   food/water   hygiene   behaviors 4.7% 29.2% +24.5% Y Of  the  12  health  indicators  included  in the  IPTT  9  of  them (75%)  experienced  statistically  significant   changes   in   values   between   the   baseline   and   final   evaluations.     Three   (25%)   did   not   experience   statistically  significant  change  over  the  program  period.   All  indicator  values fell  below  the  expected   targets   for   the   program,   although   the behavior   change targets   may   have   been   unrealistically   ambitious,  especially  given  the  two-­‐year  window  within  the  modified  Care  Group model.   Among essential nutrition   actions,   breastfeeding   behaviors   showed   marked   improvement,   both   in   term   of   early   initiation and   exclusive   breastfeeding   of   infants 0-­‐ 6m.   The   percent   of   children   breastfed  within  one  hour  of  birth  still  falls  behind  the  national  average  of  76%  (DHS  2011),  but  the   percent   of   children  exclusively   breastfed   in  MYAP   project  areas   now  exceeds   the   national  average (42.8%) by  almost  35 percentage  points at  79.4%.   Continued  breastfeeding of  children  12-­‐15m  was   already  very  high  at   the  baseline,  essentially   reaching   the   target  before   the  project  began, and   the   survey  results  show  that  those  behaviors  continued  through  the  project.     Rates  of complementary   feeding  for  children  6-­‐ 8  months  did  not  change  during  the  project. Those   values  were  already  higher  than   the  national  average  of  68.5%  (DHS)  at  baseline.    However,  values   for  “adequate”  complementary  feeding  (minimum  dietary  diversity  and  number  of  meals) improved by   25 percentage   points during   the   project.     Before   the   MYAP those   values   were   12 percentage   points below   the   national   average   of   15%; they   are   now   above   that   average   by   approximately   10 percentage  points. The  indicator values regarding  diagnosis,  prevention  and   treatment  of  illness are  the  most  variable.     Although   the   percentage of   caretakers   who   can   name   at   least  three signs   of   illness   has   increased   from  26%  to  49%,  none  of  the  individual  measures  of  knowledge  for  any  of  the individual  signs  has   changed   at   a   statistically   significant   level   since   the   baseline.     This   was   particularly   surprising   since   these  indicators  gauge  knowledge  rather  than  behaviors.     There  has  been  a  statistically  significant   change  in  cases  of diarrhea.    These  are presumably  linked   with  improved  feeding  habits  as  well  as improved  hygiene  and  sanitation (under  IR2.3),  thus  helping   prevent  diarrheal  disease.   Malaria  prevention  has also  improved  thanks  to  high  adoption  of  ITNs,  at   approximately   90%   of   all caregivers   interviewed.     This   represents a   rate   of   ITN   use   that   is   40 percentage  points  higher  than the  national  (rural)  average  of  49%  (DHS).    Reports  of  fever  at  the  final   evaluation   remained   at   par   with   level   of   the   baseline, which   may   be   due   to   the   fact   that   the   proportion  of  children  sleeping under  nets  has  not  changed  significantly.    One  might  also  expect that   some   of   these   cases   of   fever  are due   to   other   causes,  although   the   survey   did   not  request   details   regarding  the  causes  of  fever. The  percent  of  caregivers  with  knowledge  of  three  or  more  methods  to prevent  HIV  has  also  increased. Achievement   for   treatment   of   Illness   is   somewhat   mixed.     On   the   one   hand   there   has   been   no   increase   in   the   proportion of   caregivers   who   bring   their   child   to   the   hospital   when   he/she   has   a   fever,  but  on   the  other  hand  there  has  been  a   statistically   significant  increase  in   the  proportion  of   caregivers  who  do  so  within  a  day  of   the  outbreak  of   fever.    This  suggests  both  increased  vigilance   and   understanding   of   the   potential   gravity   of   fever   among   young   children. At   the   same   time,   however,  there  has  been  no  statistically  significant  change  in  the  percent  of  caretakers  who  provide   the  same  or  more  food  OR  the  same  or  more  breast  milk  during  illness.   Indicator   values related   to   water,   sanitation   and   hygiene have   all   seen   statistically   significant   increases  over  baseline  levels.    Caretaker  access  to  improved  water  sources  has  nearly  doubled,  from   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 33 34%   to   63%.     Personal   hygiene   behaviors have also   increased   significantly-­‐ by   approximately   40 percentage   points over   the   baseline.     More   families   have   soap   and   water   available   to   them   and   significantly  more  caretakers  report  washing  hands  at  all  the  necessary  times.    Strangely,  a  relatively   low   proportion   of   caretakers   (55%)   report   washing their hands   after   caring   for   a   child   who   has   defecated.     Environmental   hygiene   outcomes   are mixed.     There   has   been   statistically   significant   increase   in   proper excreta   disposal-­‐ from   16%   to   60%.     At   the   same   time,   observations   of   more   than   50   HH   latrines  showed  potential  disease  vectors  resulting  from  improper  maintenance  and  care.   Indicator   values   for   water   treatment   and   water   storage  are   also   variable.   Ninety-­‐eight   percent of   caretakers  store  water  in  containers  with  lids,  but  only  approximately  34%  use  any  water  treatment   method.  When  taken  as  a  composite value  only  approximately  29%  of  caretakers  show both  proper   storage  and  treatment  of  water.   Nonetheless, this  represents  a  statistically  significant  increase  of  25 percentage  points over  the  baseline  value  of  4%. Some  of  the  health  gains  have  been  more  modest  than  might  have  been  expected.    There  are  three   related factors that  may explain  this,  all  of  which  are  linked  to  the  way  the  Care  Group  methodology   was  implemented in  the  MYAP: (1)   The   time   frame   of   Care Group   support-­‐ by   design  the   MYAP envisioned   support   through   Care   Groups   only   during   the   0-­‐24 month   interval   of   children’s   lives rather   than   the   0-­‐ 60-­‐month   time   period  envisioned  in  the  original  Care  Group  model.   Sustained  behavior  change  in  most  contexts is   likely  to  require  more  than  two  years of  training  and  follow-­‐up.   And  without  sustained  follow  up  for   both   children   and   mothers   after   children   turn   two,   the   gains   in   behaviors   and   knowledge   could   reverse.  In  short, the  modifications  of  the  CG  model  from  a  five-­‐year  to  a  two-­‐year process  may  have   limited both  short-­‐term  achievement  and  long-­‐term  sustainability. Future  programs  might consider   including  mothers   of   all   children   under   five   and   keeping   them   participating   in   the   CGs   for  the   full length  of  the  project.    This  would  be  more  consistent  with  the intention  of  the  Care  Group model. (2)  Incentive  plans  for  Mother  Leaders  reduced  participation  in  Care  Groups-­‐ while  it  is  clear  that  Care   Groups   support   widespread   replication   of   appropriate   knowledge,   practices   and   behavior,  Mother   Leaders  in  all  FGD  pointed  to  high  attrition  among  participant  mothers  as  a  key  factor  undermining   results.   When   asked   why   this   happened   mothers   across   all   FGDs   unanimously   echoed that   the   distribution  of capulanas (colorful   traditional  wraps)   to  Mother  Leaders  had  created  large   tensions   between  Mother  Leaders  and  many  participant  mothers.    The  capulanas  were  part  of  FH’s  strategy  to   provide  a  non-­‐monetary  incentive  to  Mother  Leaders  for  their  work  in  Care Groups.    The  capulanas-­‐ printed   with   the   program’s   key   messages regarding   nutrition   and   health-­‐ resulted   in   significant   jealousy.     According   to   Mother   Leaders   across   all FGDs   as   many   as   half   of   all   mothers   of   0-­‐ 23.9   stopped  participating  in  Care  Group  sessions  as  a   result.    This  would  help  explain  why  some  of   the   key  indicators-­‐ especially   regarding  knowledge-­‐ were  lower   than  might   have   been  expected.      This   finding  is  supported  by  the  quantitative  data,  which  shows  that  only  70%  of  mothers  had  received  a health  promotional  visit  in  the  previous  month.    Fewer  than  half  had  received  more  than  one  visit. (3)   The   current   course   of   modules   is   not   appropriate   for   a   two-­‐year   Care Group   cycle-­‐ there   are   currently  nine  modules  in  the  program,  each  of  which  is  taught  over  the  course  of  approximately  6   months.    This  means  that  it  would  take  almost  5  full  years to  get  through  all  9  modules.  This  suggests   that  NO  SINGLE  mother  in  the  program  has  received  all  nine  modules.    In  fact,  under  this  model,  any   single  mother  would  only  receive  approximately  half  of  the  full  modules  during  her  time  in  the  Care   Group.    This  may  help  explain  the  relatively  low  performance  on  the  key  knowledge  indicators.    For   future  programs  where  USAID  requests the  implementation  of  Care  Groups  for  only  the  0-­‐ 24  month   age  group it  might  make  sense  to  consider  reducing  the  length  of  the  modules  (and  the  schedule  of   trainings) to  ensure  that  all  participant  mothers  receive  all  relevant  messages  during  their  time  in  the   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 34 Care  Groups.   Refresher   training   could   be   provided  on  an   ongoing   basis   throughout   the  life   of   the   program.     Despite  these  challenges,  the  changes  in  indicator  values  suggest  that  MYAP’s  health  activities  have   led   to   changes   in   key   behaviors   that   serve   as   the   foundation   for   better   food   utilization.   Through   improved   feeding   practices,   improved   hygiene,   decreased   diarrhea   and   improved   prevention/treatment   of   other   illnesses   such   as  malaria   children   receive-­‐ and   can   properly   utilize-­‐ food.     Changes   in   the   status   of   nutrition  among   participant   populations  will   be   verified   during   the   anthropometric  exercise in  October-­‐November  2013. C.   Strategic  Objective   3   (Community   Capacity   Building): Increased  community  capacity   to   influence  factors  that  affect  food  security  and  resiliency  to  shocks The  Community  Capacity  Building  component  of  the MYAP sought to  develop  community  capacity  to   promote  and  sustain  local  development  initiatives  by  (1)  building  the  capacity  of  existing  formal  and   informal  community  leaders; (2)  supporting  the  development  of  local  infrastructure  and  capacity  or   their   maintenance;   and   (3)   increasing   community   capacity   to   mitigate   shocks.     In   short,   this   SO   underpins the  health  and  agriculture  findings  by  ensuring  that  local  communities  have  the  skills  and   experience  to  manage  and  prioritize  community  development.    Findings  for  the  indicators  relating  to   SO3  are  included  below,  organized  by  Intermediate  Result.     Intermediate   Result   3.1:   Increased   leadership   capacity   of  existing   formal  and informal   community   leaders  to  address  factors  that  affect  food  security Under  IR3.1,  FH  built  the  capacity  of  Community  Development  Committees to  play  an  active  role  in   community  development  efforts. Table  23:  IPTT  Indicators  and  targets  for  IR3.1 Number  of  HCA/PRA  conducted  and  reports  prepared 48 Number  of  CDC  leaders  participating  in  training 1162 Percent of  CDC  members  who  are  women 38% FH   formed   48   CDCs,   consisting   of   between   10   and   12   members   selected   through   a   process   of   community  consensus.    CDC  members  were  trained  in  internal  governance,  roles  and  responsibilities,   approaches,   community   development   and   conflict   resolution.     A   total   of   570   CDC   members   were   trained  across  all  target  communities.     FH  implemented  a  total  of  768  trainings.    In  total  33%  of  CDC   members  across  all  communities  are  women.    Given  that  many  of  the  intervention  communities  are   Muslim-­‐ where   community   participation   among   women   is   limited   by   culturally-­‐prescribed   gender   norms-­‐ this  represents  an  important  achievement.23 FGD  were  planned  with  three  CDCs  in  three  different  communities  (one in  each  district)  in  order  to   gauge   leadership   capacity   and   the overall   capacity   of   CDC   members   as   community   leaders.     As   a   result   of   scheduling   conflicts,   only   two   FGDs   were completed.   Of   the FGDs   conducted only one   showed  a  basic  understanding  of  CDC roles  and  responsibilities,  development  plans  (past  and  future)   and  sustainability  plans  for  community  infrastructure projects  (solar  powered  improved  water  pump   and   market   stall).       The   other   group   could   not   describe   the   purpose   or   function   of   their   CDC or   provide  any  details   regarding   the  community  development  activities  or  infrastructure  projects   that   had  been  implemented with  FH  support.   The  FGDs gave  a  mixed  impression  of  the  CDCs.    Although   clearly  two  FGDs are  not representative  of  all  CDC  capacity,  they  do  illustrate  the  likely  variation  that   exists in  CDC  capacity.                                                                                                                 23 FY09  Annual  Results  Report Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 35 The   weaker   of   the   two   CDCs   said   that   FH   CCB   staff/volunteers   did   not   visit   their   community   very   regularly,  which  might provide  partial  insight  into  the  observed  skills  deficits.    Community  capacity   building   requires   significant   time   and human   resource   accompaniment   to   be   successful.     It   does   seem   that   consistent   follow-­‐up   might   have   been   a   challenge   given   the   geographic   scope   of   the   program   and   the   limited   staff   compared   to   the   program’s   other   components.     The   differences   in   staffing   levels   are   clear:     (1)   the   Health   team   has   a   Manager,   two Coordinators,   seven Program   Support  Officers  (PSOs)  and  45  community-­‐based  health  and  nutrition  facilitators;  (2)  the  Agriculture   team  has  a  Manager,  an  Agriculture  Coordinator,  a  Savings  Coordinator,  six Agricultural  PSOs,  three savings   PSOs   and   149   community-­‐based   agriculture   and   savings   promoters;   (3)   the   community   capacity-­‐building   team   has   a   Manager,   a   coordinator   and   nine PSOs.24     Although   the   CCB   team   coordinates   with   the   other   programs’   community-­‐based   staff,   it   is   easy   to   imagine   that   the   significantly  smaller  CCB  staff  would  face  difficulties  in  ensuring  consistent  follow-­‐up.   According   to   the  M&E  Manager,  while  CDC   training  is   tracked,  overall  capacity  of   the  groups  is  not   systematically   measured.     Such   efforts   could   help   to   identify   specific   skills   gaps   and   support   appropriate  planning  based  on  identified  problem  areas.     Intermediate  Result  3.2:  Increased  community  level  economic  infrastructure/assets FH  supported  CDCs  across  MYAP  communities  in  the  development  of  community-­‐level  infrastructure,   including  (1)  Access  roads  and  small  bridges;  (2)  improved  wells  to  protect  against  contamination  at   source,   (3)   market   stalls   and   (4)   first   aid   facilities.     Indicators   and   targets   for   this   IR   are   included   below. Table  24:  IPTT  Indicators  and  targets  for  IR3.2 %  of  CDCs  that  complete  community  development  projects 92% #  of  community  development  projects  completed 66 Amount  contributed  by  community  for  small-­‐scale  community  projects  (US$) $97,000 As   of   April   5,   2013   a   total   of   87.5%   (42   of   48)   of   all   CDCs   had   completed   infrastructure   projects,   approximately   4.5 percentage   points   (two CDCs)   below   the   target.   In   total,   CDCs   have   completed   68   community   infrastructure   projects. 25 These   projects refer   to   infrastructure   activities   undertaken   in   partnership   between   the   CDC   and   FH,   in   which   the   CDC   prioritized   projects   and   secured   labor,   while   FH   provided   basic   materials   for   their   construction,   such   as   tin roofing   and   cement.     The   market   stalls,   meeting   spaces   and   schoolrooms   are   very   simple   structures,   in   most   cases   essentially  four  pillars  and  a  roof.    In  addition  to  planning,   coordination   and   construction,   part   of   the   CDC   role   is   to   ensure   that   the   community   infrastructure   is   adequately   used   and   maintained.       Although   the   timeframe   of   the   evaluation   did   not   permit   systematic   observations   all   of   the   CDC   community   projects,   during   the   two   CDC   FGDs,   observations   of   two   market   stalls   were conducted   (in   two   communities  across   two  districts).    Construction  on  one  had  been  halted   since  October  due   to   the   illness   of   the   mason   who   had   agreed   to   complete   the   structure   free   of   charge   (community   contribution),  while  the  other  although  complete,  was  not  being  used.      FH  staff  also  mentioned  at   least  one  other  market  stall  that  had  been  completed  but  was  not  utilized.     When  asked  about  this,  FH  staff  explained  that  the  stalls  were  not  being  used  as  a  result  of  delays  on                                                                                                                 24 FH  MYAP  Organizational  and  Staffing  Structure  Chart,  updated  August  2012 25 This  data  is  derived  from  a  table  provided  by  the  FH  M&E  Manager  on  April  5,  2013 Table  25:  CDC  Projects Project  type Number Schoolrooms 28 Tube  wells/shallow  wells 5 Market  stalls 14 Health  posts 14 Bridges/road repair 3 Maternal  care  center 1 Meeting  spaces 3 Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 36 the  part  of  the  district  governments,  who  must  approve  and  then  formally  “inaugurate”  community   infrastructure  before  it  can  be  used  by  the  communities.   It  is  unfortunate  that  items  that  have  been   prioritized   by   communities   have   not   received   the   same   degree   of   priority   on   the   part   of   local   government  officials.    This  might  be  an  area  where  FH  could  exert  a  bit  more  influence.     In  addition to  this  basic  infrastructure,  the  FH  Community  Capacity Building  team  oversaw  water  and   sanitation   infrastructure   development   and   training   in   support   of   the project’s health   component   (SO2). For  this  purpose,  the  MYAP  subcontracted  with  Joint  Aid  Management,  a  South  African  NGO, to  construct  school/public  latrines as  well  as  tube  wells and  shallow  wells.     As  mentioned  under  SO2, a  total  17  tube  wells  and  35  shallow  wells  (52  wells  in  total)  were  constructed  across  30  communities   (approximately   60%   of   all   communities   in   the   MYAP).       This   is   likely   to   have   contributed   to   the   increased  access  to  improved  water  sources  cited  under  the  health  component.    At  the  same  time,   JAM   supported   the   construction   of   45 school   latrines.     Public   latrines   were   not   constructed.       As   mentioned  above,  the  community  capacity  building  team  also  provided  orientation  and  training   for   the  construction  of   simple  pit  latrines.    The  evaluation   team   completed   structured observations  of   nine   wells,   ten   school   latrines   and   53   HH   latrines   built   under   this   component   of   the   program to   gauge  quality  of  use  and  maintenance.     Observations  of  the  tube  wells and  shallow  wells  (nine total,  5%  of  those  constructed)  showed  that   all   wells   were-­‐ unsurprisingly-­‐ regularly   used.     According   to   conversations   with   a   community   member,  water   from  one  of  the  wells   (in  Mitumbate,  Mocimboa)  is  constantly  red,  rusty  and  salty,   which   means   it   is   unsuitable   for   consumption.     Six   of   the   wells   (66%   of   all   observations)   showed   pooled  water  around  the  water  collection  chamber.    Although  pooled  water  will  be  difficult  to  avoid   altogether at   an   open   well,   if   unchecked   over   time   it   could   become   a   vector   for   mosquito-­‐borne   illness   such as   malaria   or   even   elephantiasis,   both   of   which are   endemic.       Three   of   the   wells   presented  constant  leaks  around   the  pump.     Although   five  of   the  communities  visited  have  water   committees, 26 maintenance  seems  to  be  a  nascent  issue with the  wells.    Given  that  the  program  has   not  yet  ended,  one  might  expect  these  small  challenges  to  grow  once  the  program  ends. Observations  of  the  10  school  latrines  (approximately  20%  of  the  total  constructed)  showed  that  four of   them   (40%)   were   not   used   regularly,   eight   (80%   of   observations,   18%   of   total   constructed)   offered   no   area   for   hand   washing and   three   (30%)  were  not  maintained,  exhibiting  high  grass   around   the  structure.    Again,  when  asked  about   these   findings   FH   staff   explained   that   the   protocol   for   latrines   is   similar   to   that   described above   regarding  market   stalls:  upon   completion   of  infrastructure  the  MoH  assumes  responsibility   for  maintenance  through  a system  in  which  both   a   teacher   and   a   student   are   selected   to   be   responsible  for  the  hygiene  and  sanitation  of  the   latrine.    The  latrines  were  formally  “delivered”  to   the   MoH by   FH.     Based   on   MoH   policy,   it   was   subsequently  the  responsibility  of  the  school  to  ensure  proper  use  and  maintenance.    Unfortunately   this  has  not  happened.   It  is  important  to  mention  that  there  were  challenges  in  the  relationship  between  JAM  and  FH.    FH   staff   offer   two   explanations   for   these   challenges:   (1) JAM’s   faith-­‐based   identity and   perceived                                                                                                                 26 The  structured  observations  included  a  small  section  with  questions,  asked  to  passersby/community  members/well  users 2   8   Figure  20:  Availability  of  handwashing   facili]es  in  school  latrines   Handwashing   available   Handwashing   not  available   Final  Evaluason  ,  N=  10   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 37 compatibility  of  vision  with  FH at   the   time  of  MYAP  proposal  development27 may  have  outweighed   technical  considerations,  (2)  the  Northern  Mozambican  context  proved  to  be  difficult  for  JAM from  a technical   perspective.     Activities   were   not   properly   budgeted for   the   unique   drilling   and   technical   requirements   of   coastal   communities, and   they   did   not   plan   accordingly.     JAM left   Mozambique without  completing  all  the  activities  under  their  contract. As mentioned  under  the  health  section  of  this  report,  HH  have  shown  a  high  degree  of  acceptance  of   HH  latrines.    Based  on  53  observations,  100%  of   the latrines  show  regular  use.   Seventy  percent  of   the   latrines   are   kept   clean (free   of   grass,   other   natural   growth   or   human   debris).   As   mentioned   above,  in  60%  of  cases  the  latrine  opening  does  not  have  a  cover,  creating  a  potential  disease  vector.     One of  the  primary  concerns  with  the  latrines  is  related  to  their  design.    The  pit  is  unlined, and  the   remaining  structural  elements  are  made  of  mud  and  sticks.    Most  families  cannot  afford  even  simple   roofing  materials.    As  a  result  80%  of  observed  latrines  did not  have roofs, making  them  precarious,   especially during  the  rainy  season.    Several  HH  mentioned  that  their  latrines  had  already  collapsed  at   least  once.      On the  one  hand  it  makes  sense  to  use  a simple  design  requiring  few  costly  inputs.    On   the  other  hand,  encouraging  the  use  of  unlined  pit  latrines  with  a  stick  and  mud  platform  in  a  place   with  six  months  of   rain  presents  potential  health  and  safety   risks,  as  well  as  presenting  a   threat   to   sustainability.     Mother   Leaders   in   FDGs   mentioned   that   although   the   participation   of   husbands/partners   had   improved   since   the   program   began,   male   participation continues to   be   an   important   factor   in   facilitating   or   blocking   HH-­‐level   behavior   change.   One   of   the   biggest   challenges was   in   getting   husbands  to  support  latrine  construction  (latrine  use has  not  been  a  challenge.    Once  the  latrines  are   built,  husbands  use  them).  As  one  mother  described,  many  men  would  tell  their  wives,  “you’re  the   one  participating  in  the  training;  you  build  the  latrine.”    Although  FGDs  with  Mother  Leaders  suggest   that   this   barrier   has   reduced,  the   latrine   design   itself   should   help   facilitate   the   transition   and   not   work   as   a   barrier   to   change.     Latrines   that   require   re-­‐building   (digging)   every   year  may   become   a   barrier  to  behavior  change.    The  harder  behavior  change  is  (e.g.,  the  more  work  it  requires)  the  less   likely  it  is  to  take  hold and  be  sustained.     Given   the  challenges  with  school  latrines   (e.g.,   their  limited  use  and  maintenance-­‐ and   the  unclear link   to   the   target  age  group  of   children  0-­‐24  months)  and   the  cost  of   building   them,  it  might   have   made  more  sense  to  invest  those  resources  in  a  slightly  more  durable  HH  latrine  design.   Intermediate  Result  3.3:  Increased  ability  to  predict  and  mitigate  shocks The   purpose   of   this   component   was   to   provide   communities   with   basic   understanding   of   early   warning   systems   (EWS)   and   mitigation   processes   to   increase   resiliency   against   shocks   such   as   destruction  of  crops  by  animals,  drought  or  illness.    The  indicators  and  targets  for  IR3.3  are  included   below:   Table  26:  IPTT  Indicators  and  targets  for  IR3.3 Number  of  communities  with  improved  infrastructure  to  mitigate  the  impact  of  shocks 44 Number  of  communities  with  disaster  early  warning  and  response  systems  in  place 46 Number  of  months  of  increase  of  adequate  food  provisioning .5 Number   of   assisted   communities   with   safety   nets  to   address   the   needs   of   their   most   vulnerable  members 46 In   the   second   year   of   the   program   risk   management   committees   were   formed   and   trained   in   all   program  intervention  communities.    With  support  from  FH, 44  risk  management  committees  formed                                                                                                               27 According   to FH   Program  Director,   JAM  has  undergone  a  change  in  organizational  identity  over   the  last   few  years and   they  no  longer  publicly  identify  as  a  faith-­‐based  organization. Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 38 EWS,   including   the   use   of   radios,   flags   and   drums   to   share   information   within   the   community.     According   to  FH   staff,   the  early  warning systems  are  essentially  defunct.    Most  of   the  intervention   communities   do   not   experience   disaster   or   emergency   situations   very   commonly,   making   them   impractical  and  unsustainable. A total  of 37 communities  have  completed  infrastructure  to  mitigate  shocks (under  IR3.2).    The  most   relevant  of  these  are  wells  (five),  market  stalls  (14),  health  posts  (14),  bridge  and  road  repair  (three)   and  the  construction  a  small  maternal  care  center. A  total  of  196  VSLAs  across  50  communities  have  accumulated  a  total  of  $18,195  in  social  investment   funds  to  act  as  safety  nets  in  case  of  emergencies  or  unexpected  occurrences  at  the  community  level.     Overview  and  Discussion  of  Community  Capacity  Building  findings Table  27 Comparative  Summary  of  Baseline  and  Final  CCB  Indicator  Values  for  SO3 Indicator BL FE %  Point  /   Numerical   Difference Sig. Increased  community  leadership  capacity Number  of  HCA/PRA  conducted  and  reports  prepared 0 48 + NA Number  of  CDC  leaders  participating  in  training 0 570 + NA Percent of  CDC  members  who  are  women 0 33% + NA Increased  community  infrastructure  and  assets % of  CDCs  that  complete  community  development  projects 0 87.5% + NA Number  of  community  development  projects  completed 0 68 + NA Amount   contributed   by   community   for   small-­‐scale   community  projects  (US$) 0 + NA Prediction  and  mitigation  of  shocks Number   of   communities   with   improved   infrastructure   to   mitigate  the  impact  of  shocks 0 37 + NA Number   of   communities   with   disaster   early   warning   and   response  systems  in  place 0 44 + NA Number  of  months  of  increase  of  adequate  food  provisioning 9.87 11.16 +  1.29 Y Number  of  assisted  communities  with  safety  nets  to  address   the  needs  of  their  most  vulnerable  members 0 50 + NA Given  that  the  baseline  for  the  majority  of  these  indicators  was  zero  (assuming  no  previous  support   or   achievement   prior   to   the   program),   all   indicator   values   under   SO3   increased   over   the   baseline.     The  majority  of  the  indicator  values  are  just  under  the  cumulative  program  targets. Almost   600   community  leaders  were   trained  and  HCA  was   completed  in  each   of   the   communities,   but   community   leadership   capacity seems   to   be   mixed.     FGD   conducted   with   two   CDCs   showed   substantial  variation  in  understanding of  their  basic  functions.   This  variation  of  capacities  is  likely  to   reflect   the   reality   of all   program   areas.     Since   no   systematic   process   or   tool   has   been   used   to   measure   CDC   capacity,   it   might   be   advisable   to   develop   and   administer   such   a   tool   prior   to   the   completion   of   the   program   to   establish   a   more   accurate   understanding   of   CDC   skills,   deficits   and   ongoing  capacity  needs.     The  indicators  included  for  this  component  represent  a  flaw  in  the  design   of   the   program   as,   on   their   own,   they   tell   very   little   about   CDC   capacity   to   identify,   prioritize,   coordinate  and  manage  ongoing  development  efforts. Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 39 The  project  has  clearly  resulted  in  significant  gains  in  community  infrastructure  and  assets.    The  most   important   of   these  are the   contributions   to  water  and   sanitation  infrastructure.    Given   the  limited   time  of  the  final  evaluation  exercise  it  was  not  possible  to  visit  all  (or  even  a  representative sample)   of   the   various   types   of   infrastructure   developed.     However,   based   on   conversations   with   the   CDC   members  and  observations  of  school  latrines,  wells  and  HH  latrines,  it  may  be  advisable  to  work  with   community  leaders  and  local  government  to  develop  clear  sustainability  plans  for  this  infrastructure   moving   forward.    Given   the  hopes  of  communities-­‐ as  well  as   the   time  and  monetary  investments-­‐ that  this  infrastructure  represents,  the  last  months of  the  program  should  be  spent  trying  to  ensure   that  communities can  use  and  maintain  their  new  assets  as  long  as  possible. It   is   frankly   difficult   to   see   the   practical   value   added   of   the   component   regarding   prediction   and   mitigation   of   shocks as   nothing   concrete   seems   to   have   happened   under   this  IR   since  early   in   the   program.    It  isn’t  clear  what  need  these  activities  address or  what  their practical  impacts  have  been. The   theory   underpinning   SO3   makes   a   great   deal   of   sense:   empowering   communities   to   take   ownership   over   their   development   processes   should   be   the   fundamental   task   of   al   development   actors.    The  initial  efforts   to  identify  and  strengthen  community  leaders  provide a  solid   foundation   for  continued  work  in  the  zone.    Hopefully  the  opportunity  for  such  work  presents  itself  so  that  these   efforts  are  not  lost. From   a   project   design   perspective   it   is   not   clear   why   a   separate   SO   was   created   for   community   strengthening,  since   community   engagement   and   capacity   strengthening   underpin  success   in   both   the   health   and   agricultural   objectives.    A disproportionate   amount   of   the   CCB   team’s   energy  may   have  been  spent  on  infrastructure  development,  perhaps  to  the  detriment  of  capacity  building.    The   focus  on  infrastructure  created  a  “pull”  away  from  most  of  the  other  capacity  development  activities   included  under  the  SO,  including  training  and  mentoring  to  ensure  effective  use  and  maintenance  of   the  infrastructure  itself.  It  is  worth  pondering  whether  is preferable   to  have  30  good  infrastructure   projects   with   communities   capable   of   managing   them   sustainably   or to   have  many   more projects   that  may  not  provide lasting  contributions. VI.  Conclusions  and  Recommendations A.  Program  Strengths Farmers  in  FGD  clearly  confirm  that  productivity  has  increased since  they  began  participating  in  the   MYAP.     The consistent   productivity   growth   demonstrated   through the   Annual   Agriculture surveys   supports   these   assertions.   For   the   final   Annual   Agricultural   Survey   in   2013, FH   should   devote   resources  to  a  strong  final  methodological  and  analytical  exercise  to  validate  the  results  presented  in   this  report.    Increased  farmer  engagement  in  collective  markets has  provided  additional  income for   communities.   Although   the   degree   of   sustainability   of   those   activities   is   unclear,   they   provide   a   strong  foundation  of  learning  upon  which  farmers  can  continue  to  build.    It  would  be  advisable  for  FH   to  ensure   that  clear  data   regarding  incomes  and  distribution  of  benefits  are gathered,  collated  and   stored   to  gain  a   fuller  understanding  of   the  magnitude  of  benefits  across  MYAP  intervention  areas   and   to   facilitate   learning   at   an   agency   level.     Engagement   with   VSLAs has   also   provided   an   opportunity  for  at  least  3,550  men  and  women  to  engage  with  financial  services,  albeit  informal and likely   for   the   first   time.     They   have   saved   over   $200,000   collectively,   earned   $44,500   on   those   savings   through   interest   income   and   provided capital   to   local   entrepreneurs   and   individuals.   Together  the  increased  productivity  and  incomes  derived  from  the  program  are  likely  contributors to   the  gains  we  have  seen  in  both  Household  Food  Provisioning  and  overall  Dietary  Diversity  Scores. There  have  been  significant  improvements  in  many  of  the  essential  nutrition  actions including  early   breastfeeding,   exclusive   breastfeeding   and   adequacy   of   complementary   feeding.       Although   the   knowledge   indicators   for   the   recognition   of   signs   of   illness   and   methods   to   prevent   HIV   are   surprisingly  low,  some  key  prevention  indicators  show  improvements,  including  significant  decreases   Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 40 in  cases  of  diarrhea and  increases  in  the  use  of  treated  bednets to  combat  malaria.    There  have  also   been  increases  in  hospital  visits  within  the  first  day  of  fever.     Access  to  improved  water  sources has   almost   doubled   thanks   to   the   construction   of   water   infrastructure.     Likewise,   knowledge   of   hand   washing   behaviors,   proper   excreta   disposal and   food   and   water   hygiene have   all   improved   significantly  over  the  baseline.    Together  these  factors  are  likely  to  have  improved  food  utilization  by   improving   overall   nutrient  intake  and   use.    The  anthropometric   survey  in  October-­‐November   2013 will  confirm   the  impact  of  improved  knowledge  and  practices  on   the  nutritional   status  of  children,   although  some  gains-­‐ even  if  modest-­‐ should  be  expected.   The  program  has  achieved  a  high  level  of  community  engagement  and  ownership through:  the  use   of   local   promoters   for   health   and   agriculture,   training   and   support   to   create  Mother   Leaders   for   Care  Groups,  development  and   training  of  Farmer   Field   Life  Groups and  Community  Development   Committees.      The  leadership  and  technical  skills  that  these  individuals  and  groups  have  gained  will   provide  a  strong  foundation  for  continued  health  and  wellbeing  in  their  families  and  for community   development  across  all  MYAP  intervention  areas.      According   to  staff  at   the  Ministry  of  Health,   the   involvement  of  community  leaders-­‐ especially  the  use  of  community-­‐based  promoters-­‐ has  been  the   cornerstone  of  the  program’s  success.     B.  Program  Challenges Specific   challenges   within   each   technical   sector   have   already   been   addressed   in   each   respective   section.    This  section  will  briefly  highlight  identified  challenges  that  affect  the  whole  program. The  geographic  spread of  the  program  may  have  been  an  impediment  to  timely  and  effective  follow-­‐ up.    This  issue  was  raised  anecdotally  during  three  FGD,  but  given  the  terrain  and  distance  between   locations,  program  technical  staff  are  unable  to  devote intensive time  in  each  location,  which  means   they   rely  heavily on  local  promoters.    While   the  FH  model  of  using  community-­‐based  promoters  is   one   of   the   project’s   greatest   strengths,   reliance   on   local   promoters   may   translate   into   gaps   in   technical  expertise  and  follow-­‐up.     Data   management is   a   challenge   across   the   program.     Health   has   the   fewest   challenges,   likely   because  the  sector  has  clear  data  standards  and  protocols.    In  the  case  of  agriculture  and  CCB  there   are  gaps.    Some  of  these  are  owed  to  design   flaws:     (1)   the  CCB  indicators   tell  very  little  about   the   impact  of  CCB  activities;  (2)  the  agricultural  component  did  not  include  any  marketing indicators.    But   there  are  also  data  management  challenges:  data  that  should  exist  readily  is  difficult  to  access.    On   multiple  occasions  during  the  final  evaluation  basic  information-­‐ such  as  the  number  of  participants   in   marketing   forums-­‐ was   requested   but   was   never   received.       Some   of   the   challenge   is   owed   to   where  data  is  managed  and  who  “owns” it.    Logically, technical  and  management  staff  delegate  tasks   to  other  members  of  their  teams,  but  some  managers  do  not  seem  to  be  requesting   (or  reviewing)   the  data  that  is  available,  which  does  raise  questions  regarding  how  program  management  decisions   are  made.     Likewise,  according   to   the  M&E  Manager,   the   guidance   for   calculating   indicator   values   was  developed  only  a  year  ago and  some  of  the  indicators  within  the  current  PMP  still  do  not  have   clear  definitions.   Sustainability  will  be  a  challenge  across  all  components  of  the  program.    The  agriculture  program  has   begun   to   plan   for   the   post-­‐program   phase   by   meeting   with   the   MoA   and   supporting   the   official   “recognition”   of   the   program’s   community-­‐based   promoters   as   official   MoA   volunteers.     No  such   action  planning  has  occurred  yet  for  the  health  or  CCB  teams.   The  MOH,  for  example, currently  has   only   25   trained   health   promoters   across   the   50   project   districts.   Across   all   sectors   the   resource   challenges  of  district  governments  and  Ministries  will  create  serious  challenges   for  effective   follow-­‐ up.     Even   in   the   case   of   the   MoA   the   recognition   of   community   volunteers   means   very   little   in   practical  terms  because  they  do  not  have  the  budget  to  provide  incentives or  transportation.         Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 41 There   are   nine communities   with   no   overlap   between   health   and   agriculture   activities,   including Mocimboa   town,   which represents   more   than   40%   of   the   total   number   of   program   health   and nutrition  participants.    Those  beneficiaries  have  not  benefited  from  the  agriculture  activities,  which-­‐ based  on the  program’s  logic  model-­‐ means  they  are  not  benefitting  from  increased  food  access.   In   large  part  this  was  based  on  the  need  to  meet  the  target number  of program  participants  included  in   thr approved  program  proposal;   the  health  program  expanded   to   the  city  center  in order   to   reach   the  numbers.    Nonetheless,  this  presents challenges  to  the  underlying  theory-­‐ and  presumably  to  the   results-­‐ of  the  program. C.  Recommendations Agriculture • Given  the  challenges  with  neem,  there  is  a  need  to  identify  other  viable  organic  crop,  seed  and   storage  protection  mechanisms  that  do  not  require  such  a  long  period  for  maturation. • Likewise,  there  is  a  need  to  mentor  staff  to  ensure  that  when  confronted  with  difficult  questions   from  program  participants,  field  staff  can  respond  in  constructive  ways  to  help  solve  problems. • It   might   be   worth   conducting   post-­‐facto   data   cleaning   and   analysis   for   the   previous   Annual   Agricultural  surveys  and  ensure  that  the  final  survey  follows  sampling,  data  collection and  data   analysis  protocols  precisely  in  order  to  provide  additional  clarity  regarding  productivity.   • Data   regarding   collective   individual   and   collective   marketing   benefits   should   be   collected,   compiled  and  analyzed  to  gain  a  greater  understanding  of  the magnitude  of  income  generation. • Select   farmers   from   collective   marketing   should   be   linked   to   ongoing   training   opportunities   regarding   key   marketing   skills   such   as   market   assessment,   value   addition   and   processing   in   order   to   build   on   the   skills   they   have   gained   and   help   support   future   sustainability.     Future   program  should  include  an  intensive  training  component  for  market-­‐based  production  working   with  specialized  experts  in  the  subject  matter. • It   might   be   worth   exploring   the   possibility   of   a   long(er)-­‐term   contract   between   the   current   buyer  and  the  marketing  forums  prior  to  the  close  of  the  program.    This  may  be  one  way  to  help   ensure  ongoing  benefits  from  those  activities. • Before  the  program  ends  it  might  be  useful  to  analyze  mean  differences  in  available  savings  for   groups   operating   based   on   flexible   standards   versus   those   that   have   implemented   the  model   based   on   fixed   contribution   amounts   and   timelines.     Focus   group   or   other   qualitative   work   might   also   help   determine   whether   the   current   flexible   arrangement   provides   the   best   opportunity   for   consumption   smoothing   and   reducing   risk   among   participants. This   could   provide  useful  lessons  for  future  VSLA  work  moving  forward.       • Future   programs   of   this   nature   might   consider   the   inclusion   of   a   small   quasi-­‐experimental   design   comparing   cash   crop   participant   wellbeing   with   that   of   participants   who   do   not   participate   in   cash   crops.     This   would   provide   evidence of   impact   of   cash   crop   production   on   food  access,  dietary  diversity  and  household  food  provisioning   • Agricultural  indicators  and  measurement  tools  in  future  programs  should  be  clearly  linked  to  the   expected   outcomes   of   the   program   to  ensure   that  measurement   provides   useful   insights   into   program  progress  and  impacts Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 42 Health • Future   programs  requiring   the   implementation   of   a  modified   version   of Care  Groups   focusing   only on pregnant  women  and  children 0-­‐24 months  should  use   training  modules   that  allow  all   topics   to   be   covered   either   during   a   two   year   period or   during   the   length   of   a   mother’s   enrollment.    This  may  require  shortening  some  of  the  modules  based  on  the  identification  of  the   “minimum  required  package”  of  messages  per  topic  for  greatest  impact.    Then  refresher  training   can   be   provided   periodically   to   strengthen   certain   topics   or   provide   greater   detail   on   others.       Clearly   a   “condensed”   series   of   modules   for   a   two-­‐year   time   period   should   be   tested   for   effectiveness  prior  to  use. • Future  programs  using  the  Care  Group  model  should  identify  incentive  plans  for  Mother  Leaders   that  not  create  a  disincentive  for  participants. Community  Capacity  Building • Prior   to   the   end   of   the   program,   a   simple,   standard   tool   should   be   adapted   /   developed   and   used   to  measure   the   capacity   of   CDCs.    This  will   provide  a   clear   sense   of   the   skills   developed   during  the  program  and  will  facilitate  follow-­‐on  skills  building  for  those  groups  that  show  large   skill  deficits.   • Sustainability  plans   should  be  developed   for  all  infrastructure  built  under   the  program.    CDCs,   district  and  local  governments  and  relevant  Ministries  should  be  included  in  this  activity.   • Refresher  training  should  be  provided  for  HH  on  the  importance  of  covering  latrine  openings  to   limit  disease.    Local  alternatives  for  covers  should  be  developed  and  disseminated  to  ensure  that   this  does  not  incur  additional  costs  for  families. • Likewise,  local   roofing  alternatives   should  be  disseminated   to   families   to  protect  latrines   from   the  elements  and  maintain  them  intact  for  longer  periods  of  time     All  programs • For  future  programs,  key  program  data  should  be  gathered/stored/housed  in  a  central  location   to  ensure  appropriate  decision-­‐making,  learning  and  institutional  memory   • Sustainability   planning   needs   to   be   incorporated   into   program   design   in   future   programs   and   might  include  staggered  transitioning  of  program  staff  into  relevant  Ministries.    This  clearly  will   require   strong   working   relationships   with   relevant   government   offices   and   long-­‐term   commitment  (and  resources)  on  the  part  of  FH. • Future  programs  should  try  to  ensure  overlap  between  program  sectors  to  ensure  that  program   participants  can  take  advantage  of  all  the  complementary  benefits  from  each  sector. Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 43 VII.  Resources  Consulted “Essential   Nutrition   Actions-­‐ Improving   Maternal-­‐Newborn-­‐Infant   and   Young   Child   Health   and   Nutrition,  Evidence  for  Essential  Nutrition  Actions,”  World  Health  Organization,  2011. “Indicators   for   assessing   infant   and   young   child   feeding   practices:   conclusions   of   a   consensus   meeting  held  6–8  November  2007  in  Washington  D.C.,  USA. WHO The   Handwashing   Handbook:   A   guide   for   developing   a   hygiene   promotion   program   to   increase   handwashing  with  soap,  World  Bank Food  Security  Information  for  Action,  “Practical  Guidelines:  An  Introduction  to  the  Basic  Concepts  of   Food  Security,” United  Nations  Food  and  Agriculture  Organization   2003   Mozambique   Demographic   and   Health   Survey (DHS),   Measure   DHS/ICF   International   and   USAID. 2011   Mozambique   Demographic   and   Health   Survey (DHS),   Measure   DHS/ICF   International   and   USAID,  March  2013 Swindale,   Anne   and   Bilinsky,   Paula,  Household   Dietary   Diversity   Score   (HDDS)   for  Measurement   of   Household   Food   Access:   Indicator   Guide VERSION   2,   Food   and   Agriculture   Technical   Assistance   (FANTA),  September  2006.     Swindale,  Anne  and  Bilinsky,   Paula,  Months   of  Adequate  Household  Food   Provisioning   (MAHFP)   for   Measurement  of  Household  Food  Access:  Indicator  Guide  VERSION  4,  Food  and  Agriculture  Technical   Assistance  (FANTA),June  2010 Indicators   For   Assessing   Infant   And   Young   Child   Feeding   Practices,   Part   2:   Measurement,   World   Health  Organization Espeut,   Donna,   Knowledge,   Practices   and   Coverage   Survey   2000+   Field   Guide,   The   Child   Survival   Technical  Support  Project  (USAID),  August  2001. Diskin,   Patrick,   Agricultural   Productivity   Indicators   Measurement   Guide,   Food   and   Agriculture   Technical  Assistance  (FANTA),  December  1997 Tracking  Progress  on  Child  and  Maternal  Nutrition,  UNICEF,  2009. JP  Habicht,  CG  Victora  and  JP  Vaughn,  “Evaluation  Designs  for  Adequacy,  Plausibility  and  Probability   of  Public  Health  Programme  Performance  and  Impact,”  International  Journal  of  Epidemiology,  1999;   28:  10-­‐18 Whitson,  Donald  T.     Food   for   the  Hungry  Multi  Year  Assistance   Program   Baseline   Report,  February   2009. Food  for  the  Hungry  MYAP  Organizational  Structure  and  Staff  Chart,  August  2012 Food  for  the  Hungry  Multi Year  Assistance  Program  Proposal  Revised  Narrative,  August  2008. Food  for  the  Hungry  Annual  Agricultural  Surveys: August  2010,  September  2012 Food  for  the  Hungry  Mozambique  Annual  Results  Reports:  FY09,  FY10,  FY11,  FY12 Food  for  the  Hungry  MYAP  Final  Evaluation  Report Final  Version  July, 2013 44 VIII.  Annexes