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SMART SURVEY 2019

Hurungwe Mt. Darwin

Kariba Shamva

Murehwa Binga

Epworth

Buhera

Bikita

Mberengwa Mangwe

Results of The Emergency Nutrition Assessment in 11 Selected Districts, March 2019 ZIMBABWE N 11 Selected Districts

Hurungwe • Bikita Mt. Darwin

Kariba Shamva • Binga

Murehwa • Binga

Epworth • Epworth

• Hurungwe

• Kariba Buhera

• Mangwe Bikita

• Mberengwa Mberengwa Mangwe • Mt Darwin

• Shamva

Selected districts

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe TTableable ofof ConConttenentsts

Foreword i

Acronyms and Abbreviaons ii

Acknowledgements iv

Food and Nutrion Security Context 1

Raonale 3

Objecves 4

Methodology 5

Selecon of Enumeraon Areas and Households 6

Quesonnaire Design and Enumerator Training 7

Data Collecon 8

Data Management and Analysis 9

Household and Children Demographics 10

Infant and Young Child Feeding Pracces 22 Table of Contents Food Forficaon and Micronutrient Supplementaon 32 Childhood Illness 41

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe TTableable ofof ConConttenentsts

Child Anthropometry 47

Water, Sanitaon and Hygiene (WASH) 55

Conclusions and Recommendaons 64

Report Wring Team 66

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe FFororeewworordd

Food and Nutrion Security (FNS) remain a major priority for naonal development in Zimbabwe. The mul-causal nature of FNS requires constant monitoring and evaluaon according to season and place. Zimbabwe is experiencing a devastang El Nino since the 2015/16 agricultural season and the situaon is expected to worsen in 2019. Different districts will be affected differently by the same hazard, shock or crisis. Nutrion crisis may have a rapid or slow onset and as such need to be monitored regularly, parcularly following any significant changes in the primary determinants of under nutrion, dietary intake and diseases occurrence. The priority objecve of the rapid nutrion assessment was to update the nutrion situaon data in 11 problemac districts and domains in the country.

In fulfilment of the Food and Nutrion Security Policy Commitment Six, which calls for the provision of mely food and nutrion security informaon; the Ministry of Health and Child Care in collaboraon with its Partners embarked on Emergency Nutrion Assessment using the SMART methodology. This was following the poor food security projecons by the January 2019 Lean Season Assessment , the cholera outbreaks reported in the country and the general price increases for basic foods and commodies.

The results for the survey indicate that the rates of acute malnutrion have not changed significantly from the levels reported in the 2018 Naonal Nutrion Survey. However the contribung factors to acute malnutrion especially feeding and caring and pracces, water sanitaon and hygiene show a declining trend and need connuous monitoring and strengthening for the country to maintain the prevalence of acute malnutrion within acceptable levels.

Major General Dr. G. Gwinji (Rtd) Permanent Secretary for Health

i SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe AcrAcrononymsyms andand AbbrAbbreeviaviaonsons

• EA Enumeraon Area

• EBF Exclusive Breast Feeding

• ENA Emergency Nutrion Assessment

• GAM Global Acute Malnutrion

• IYCF Infant and Young Child Feeding

• MAD Minimum Acceptable Diet

• MAM Moderate Acute Malnutrion

• MDD Minimum Dietary Diversity

• MMF Minimum Meal Frequency

• MNP Micronutrient Powders

• MUAC Mid Upper Arm Circumference

• NNS Naonal Nutrion Survey

• RDC Rural District Council

• SAM Severe Acute Malnutrion

• SFP Supplementary Feeding Program

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe ii AcrAcrononymsyms andand AbbrAbbreeviaviaonsons

• SMART Standardised Monitoring and Assessment of Relief and Transion

• UNICEF United Naon Children’s Fund

• VAS Vitamin A Supplementaon

• WASH Water, Sanitaon and Hygiene

• WHA World Health Assembly

• WHO World Health Organisaon

• ZIMVAC Zimbabwe Vulnerability Assessment Commiee

• ZIMSTAT Zimbabwe Naonal Stascs Agency

iii SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe AcknoAcknowledgwledgemenementsts

The technical and financial support received from the following is greatly appreciated:

• Advenst Development and Relief Agency (ADRA)

• Bikita Rural District Council

• City of

• Ministry of Labour and Social Welfare

• Ministry of Local Government, Public Works and Naonal Housing

• Save the Children

• United Naons Children’s Fund (UNICEF)

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe iv FFoodood andand NutrionNutrion SecuritySecurity ConContteextxt

• The 2019 ZIMVAC Lean Season Assessment esmated that 51% of the rural populaon (4.5 million people) and 40.6% of the urbanites (3 million people) would be food insecure and in need of assistance during the peak hunger period (January to March 2019)

• The proporon of households with poor food consumpon scores increased from 20% in 2018 to 31.9% in 2019

• The agricultural season was characterised by late rains; which were poorly distributed as well as high prices of key agricultural inputs such as seed, ferlisers and herbicides (ZIMVAC Lean Season Assessments 2019).

• The total area under maize decreased by 7% during the 2018/19 season compared to the 2017/18 agricultural season and the crop condion was generally fair to poor (Crop and livestock assessment Round 1 2018/19).

• As of February 2019, the year on year food and non- alcoholic beverages inflaon prone to transitory shocks stood at 69.8% whilst the non-food inflaon rate was 54.3% (ZimStat Consumer Price Index 2019)

1 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe FFoodood andand NutrionNutrion SecuritySecurity ConContteextxt

• Food insecurity is one of the three main underlying causes of malnutrion

• Nutrion security requires consumpon of healthy foods, good health and care especially for women and children under five.

• Naonal Nutrion Survey of 2018 reported poor Infant and Young Child Feeding pracces and only 4% of children 6-23 months received a minimum acceptable diet

• Naonal Global Acute Malnutrion (GAM) was at 2.5%; within acceptable range and stunng stood at 26.2% with inter-district variances for both indicators

• Declining food security and health indicators typically is a good indicaon that rates of acute malnutrion will also rise over me

• Zimbabwe has experienced a concerning degradaon in both determinants

• As food insecurity and rates of diarrheal disease increase progressively, rates of malnutrion are likely to follow a similar trajectory

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 2 RaRaonaleonale

An Emergency nutrion assessment was conducted in 10 rural and Epworth idenfied using the following criteria:

• Relavely higher GAM compared to the naonal average as described by the Naonal Survey of 2018; the highest GAM of 4.8% was reported in Kariba against a Naonal average of 2.5%

• Higher administrave data on Severe Acute Malnutrion (SAM) admissions (DHIS 2) for the 10 districts compared to other districts in the same Province

• Cholera outbreaks in Shamva, Mt Darwin, Buhera and Epworth districts between September and December 2018 which resulted in 55 deaths and 10,202 suspected and confirmed cases naonally

• General price increases of basic food commodies likely to affect access to food by women and children

• A devastang El Nino since the 2015/16 agricultural season; six of the selected districts are currently in IPC phase 3 and two are in IPC phase 4 (Buhera and Binga)

• The assessment was also meant to provide a data source for secondary IPC Acute Malnutrion Analysis

3 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe ObjecvObjecveses

Overall Objecve • To determine the current nutrion status of children 0 to 59 months in 11 hotspot areas (10 rural districts and Epworth) across 8 provinces

Specific Objecves • To update the prevalence of global, moderate and severe acute malnutrion in 11 hotspot areas which was last reported in February 2018

• To esmate prevalence of chronic malnutrion among children aged 6 to 59 months

• To assess vitamin A supplementaon coverage among children aged 6 to 59 months

• To determine core IYCF and WASH pracces for children 0-23 months

• To determine coverage of the Naonal Food Forficaon program in the 11 hotspot districts

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 4 MeMethodologythodology

Study design • This was a cross seconal study conducted across 10 districts and Epworth from 8 rural Provinces

Study populaon • All households that resided in the10 rural districts and Epworth. All the households in the districts had an equal chance of selecon

Sample Size • A sample size of 240 households expected to give an esmate of 119 children per district was calculated using ENA for SMART soware based on the parameters shown in the table below: Table 1: Parameters used in sample size calculaon

Esmated Prevalence of GAM 5%

+- Desired precision 5% Design Effect 1.5 Children to be included 119 Average HH size 4.2

Percentage of children under -5 15% Percentage of non-response Households 3% Households to be included 217

5 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe SeleconSelecon ofof EnumerEnumeraaonon ArAreaseas andand HouseholdsHouseholds

• A total of 30 Enumeraon Areas were randomly selected in each district using the ZIMSTAT master sample

• Eight households randomly selected were included per EA using simple random sampling aer segmentaon to yield 240 households per district

• Villages were randomly selected from within the target EAs.

• Where EAs and villages were very big, they were segmented

• Segments were randomly selected for data collecon.

• Households were visited at least twice before the teams le the EA

• Households were not replaced

• The assessment ulised the Standardised Monitoring and Assessment of Relief and Transions (SMART) approach

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 6 QuesQuesonnaironnairee DesignDesign andand EnumerEnumeraattoror TTrrainingaining

• The standard SMART data collecon tool was adapted to include contextual indicators on Water Sanitaon and Hygiene (WASH), childhood illness, Infant and Young Child Feeding (IYCF), growth monitoring and food forficaon

• The quesonnaire was loaded on an electronic plaorm; KOBO Collect

• The SMART training package was adapted and a 5 day Enumerator training conducted at a central venue from the 13th to the 17th of February 2019

• Competent enumerators and anthropometrists were selected from the MoHCC at district level

• A standardizaon test for anthropometry was conducted in collaboraon with the City of Harare Health Department to enhance consistency of measurements

• A pilot test was conducted over a day in a rural field seng and feedback was incorporated into the data collecon tool before data collecon

7 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe DaDattaa ColleconCollecon

• Data collecon was conducted over 10 days from the 19th to the 28th of February 2019 by 2 teams per districts; 2 Enumerators and 2 Anthropometrists

• Data was collected using hand-held electronic mobile devices that were linked to a central server.

• Data was automacally transferred to the central server daily or whenever the device had connecon to internet

• Children 6-59 months had their heights, weights, oedema and MUAC assessed for the esmaon of GAM basing on WHO 2006 growth standards

• Verbal consent was obtained from all caregivers and respondents and confidenality was assured

• Children who displayed signs of illness were immediately referred to the nearest health facility

• All oedema cases were verified and confirmed by the Provincial supervisory team

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 8 DaDattaa ManagManagemenementt andand AnalyAnalysissis

• The electronic quesonnaire had in-built restricons to enhance quality and avoid outliers for certain variables for example date of birth, weight and height

• ENA for SMART was used for flag checks on anthropometry datasets

• Each Team of Enumerators was supervised by a Provincial Nutrionist in collaboraon with a Naonal Supervisor

• Data Analysis was done using ENA for SMART v.2011,SPSS v.16 and STATA v.13

9 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 10

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen AssessedAssessed bbyy SeSexx

100 90

80 45.6 48.2 47.8 47.1 47.0 46.2 51.1 51.7 51.1 48.2 48.6 en (%) 70 53.4 60 50 40

30 54.4 53.8 oporon of Childr 52.9 53.1 46.6 51.8 52.2 48.9 48.3 48.9 51.8 51.4

Pr 20 10 0

Boys Girls

The average proporon of the assessed children was 51.4% boys as to 48.6% girls and there was almost a similar trend across most districts

11 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe NumberNumber ofof ChildrChildrenen AssessedAssessed bbyy AgAgee

District <6month 6 -23 month 24 -59 month Total Bikita 11 36 86 133 Binga 17 47 102 166 Buhera 17 62 126 205 Epworth 18 56 117 191 Hurungwe 27 71 115 213 Kariba 28 60 129 217 Mangwe 17 43 111 171 Mberengwa 16 56 110 182 Mt Darwin 13 52 111 176 Murehwa 13 44 76 133 Shamva 24 46 96 166 Average 201 573 1179 1,953

An Average of 1, 953 children were assessed during the assessment

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 12 PPrrooppoorroonn ooff CChhiillddrreenn AAsssseesssseedd bbyy CChhiilldd LLiivviinngg AArrrraannggeemmeenntt

Percentage of Percentage of children who live children who live Percentage of children not living with of children Live with mother and with father and both parents whose with not with father not with mother father or District both Total mother parent Both Both Father Father is Mother Mother Father is Mother living s parents parents alive dead is alive is dead alive alive status are alive are dead unknown Bikita 66.1 15.7 2.5 2.5 0.0 10.7 0.0 0.0 0.0 2.5 121 Binga 49.7 34.7 1.4 1.4 0.0 8.8 0.7 0.0 0.0 3.4 147 Buhera 67.6 10.1 1.6 2.7 0.5 12.8 2.1 1.6 0.5 0.5 188 Epworth 79.6 11.4 1.8 0.6 0.0 4.2 0.6 0.0 0.0 1.8 167 Hurungwe 79.7 10.4 1.1 1.7 0.0 4.4 1.1 0.6 0.0 1.1 182 Kariba 73.8 12.8 4.8 2.1 0.5 4.8 0.0 0.5 0.0 0.5 187 Mangwe 31.6 41.5 2.0 0.0 0.0 11.8 0.0 2.0 0.0 11.2 152 Mberengw a 68.1 19.6 1.2 1.8 0.0 8.6 0.0 0.6 0.0 0.0 163 Mt Darwin 77.2 9.5 1.9 1.9 0.0 7.6 0.0 0.6 0.0 1.3 158 Murehwa 60.5 16.8 0.8 2.5 0.0 15.1 0.8 2.5 0.8 0.0 119 Shamva 74.7 9.9 2.1 2.8 0.0 4.9 1.4 0.0 0.0 4.2 142 Average 66.9 17.1 2.0 1.8 0.1 8.3 0.6 0.8 0.1 2.3 1726 The average proporon of children assessed by orphan hood with father dead is 2.0% with Kariba recording the highest proporon(4.8%).

13 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen AssessedAssessed bbyy MotherMother’’ss ;; CarCaregivegiverers’s’ andand FFaathertherss AgAgee

<20 Years 20-39 Years 40-59 Years 60+ Years <20 Years 20-39 Years 40-59 Years Total 60+ Years Total Caregiver’s age 6.7 71.5 16.9 4.9 1921 Care giver’s age 6.7 71.5 16.9 4.9 1921

Mother's age 7.5 83.7 8.1 0.8 1906 Mother's age 7.5 83.7 8.1 0.8 1906 Father's age 0.3 67.7 27.5 4.6 1836 Father's age 0.3 67.7 27.5 4.6 1836

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 14 PrProporonoporon ofof ChildrChildrenen AssessedAssessed bbyy MotherMother’’ss AgAgee

100 4.9 6.1 8.2 7.3 3.6 11.2 8.8 6.2 10.4 8.1 90 9.2 11.2 80

en (%) 70 60 82.7 84.0 79.9 50 89.4 77.8 93.0 79.9 81.5 84.7 90.0 80.5 83.7 40 30 oporon of Childr

Pr 20 10 9.3 9.2 8.7 7.5 13.0 7.3 9.1 7.5 0 3.8 2.2 6.5 3.8

Below 20 20 -39 40+

Overally the highest proporon of the assessed children's mothers were in the 20 -39 age group (83.7%) followed by 40 – 59 age group (8.1%) Mangwe had the highest proporon of mothers less than 20 years (13%) followed by Binga (9.3%)

15 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen AssessedAssessed bbyy FFaatherther’’ss AgAgee

100 2.0 1.1 1.2 3.6 1.1 1.8 2.4 1.8 3.2 2.0 90 0.6 19.2 0.0 24.0 27.8 25.5 31.5 32.2 29.9 27.5 80 27.0 18.5

en (%) 25.5 41.6 70 60 50

40 73.7 78.4 68.7 69.9 71.0 66.0 68.8 67.7 oporon of Childr 30 65.1 61.8 65.4

Pr 53.9 20 10 0

<20 20-39 40-59 60+

The average proporon of children assessed by fathers age was highest in the 20 – 39 age group (67.7%) and it was also observed that there are elderly men above the age of 60 (1.8%) who had children below the age of five

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 16 PrProporonoporon ofof ChildrChildrenen AssessedAssessed bbyy CarCaregivegiverer’’ss AgAgee

100 1.6 1 1.2 8.4 2.4 4.4 1.9 6.7 2.3 4.6 4.4 12 12 90 16.3 16.6 19.5 12.1 17.1 15.1 18.7 18.9 16.9 80 23.6 70 20.7 en (%) 60 50 78 70.7 82.4 75.4 71.9 71.4 40 75.8 62.8 72.6 73.5 71.5 51.5 30

oporon of Childr 20 Pr 10 8.5 8.3 9.1 8.9 7.9 0 3.8 3.8 6 5.6 7 3 6.7

<20 20-39 40-59 60+

The average proporon of children assessed by caregivers ‘ age were highest in the 20 -39 age group (71.5%) followed by 40 – 59 age group(16.9%) . Of note is the proporon of the elderly (4.4%) who are also principle care givers of the children under five. Mangwe (16.6%) had the highest proporon of children being taken care of by elderly caregivers

17 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof HouseholdHousehold HeadsHeads bbyy AgAgee

100 8.8 90 16.9 15.0 15.8 27.7 27.0 23.4 25.8 24.6 80 38.2 38.2 34.2 39.1 70 30.8 34.3 34.6 60 39.7 40.4 38.3 50 38.7 44.0 39.0 40 39.0 41.6 30 45.5 51.7 50.4 52.5 20 36.6 36.7 oporon of Household Head (%) 33.6 33.8 28.6 26.8 Pr 10 22.8 20.2 0 0 3.3 0 0.4 0 0.8 0 0.4 0.4 0 0 0.5

<20 20-39 40-59 60+ Years

Most of the house holds head were in the 40-59 years (38.3%) and 20-39 years (36.7%) age groups . Binga had the highest proporon (3.3%) of house holds head under 20years.

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 18 EEducducaaonon ofof HouseholdHousehold HeadHead inin HouseholdsHouseholds withwith ChildrChildrenen UnderUnder FivFivee

100 13.6 90 17.6 30.0 80 33.6 24.2 32.9 34.6 33.6 36.9 35.4 70 40.7 44.6 60 69.7

50 37.1 61.8 46.7 40 38.8 45.2 44.6 39.8 56.7 56.2 30 41.5 20 40.5 31.7

oporon of Household Heads 22.3 10 20.4 20.3 Pr 17.4 17.2 18.0 17.5 6.7 10.4 6.7 0 2.9

None Primary Secondary Higher educaon Don’t know

The surveyed households with children under five had at least 81.4% household heads who have aained primary level and above

19 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe EEducducaaonon ofof MotherMother ofof ChildrChildrenen UnderUnder FivFivee

100 0.5 0.5 0.5 0.0 3.0 0.6 2.7 0.0 7.8 0.0 2.3 1.6 90 18.5 17.8 28.6 28.2 28.7 80 36.2 35.5 35.3 en (%) 44.7 44.6 70 44.7 60 66.8 50.5 50 53.7 40 58.3 58.2 70.1 52.1 59.2 56.8 oporon of Childr 30 47.7 46.9

Pr 45.8 20 25.0 31.3 10 25.9 12.6 11.2 10.2 0 3.8 4.1 4.3 4.1 1.7 6.2 0.6

None Primary Secondary Higher educaon Don’t know

The average assessed households with children under five had at least 89% mothers who have aained primary level and above Kariba (31.3%) and Binga (25.%) districts had the highest proporon of mothers who have not aained any level of educaon

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 20 PrProporonoporon ofof HouseHouse holdsholds HeadHead bbyy SeSexx

100 90 80 41.3 70 62.6 63.1 72.6 74.0 72.3 75.8 72.4 60 83.9 84.6 82.5 84.6 50 40 30 58.7 20 37.4 36.9 oporon of House holds Head (%) 27.4 26.1 27.7 24.2 27.6 Pr 10 16.1 15.4 17.5 15.4 0

Female Male

The majority of the house holds were male headed (72.4%) The trend is similar across all districts save for Binga which had 58.7% of the households being female headed.

21 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe Infant and Young Child Feeding Pracces

22

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe DeDefinionsfinions

Exclusive breaseeding • Exclusive breaseeding means giving a baby only breast milk, and no other liquids or solids, not even water. Drops or syrups consisng of vitamins, mineral supplements or medicines (including ORS) are permied. (WHO, 2012)

Prelacteal feeds • These are foods other than breast milk given to children within 3 days of birth

23 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe SummarSummaryy ofof BrBreaseaseedingeeding PrPraccesacces

Prelacteal feeding 11.6

Bole feeding 4.7

Iniaon of breaseeding 78.6

Ever breased 0-23 months 98.8

Exclusive breaseeding <6months 60

0 20 40 60 80 100

• About 60% of children less than 6 months were exclusively breased and this surpassed the World Health Assembly (WHA) target of 50%.

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 24 PrProporonoporon ofof ChildrChildrenen 0-230-23 MonMonthsths EEvverer BrBreaseaseded

100 100 100 96.2 100 99 98.9 96.7 100 96.9 100 100 98.8 90 80 en (%) 70 60 50 40

oporon of childr 30 Pr 20 10 0

• Breaseeding was pracsed across all the 11 districts with more than 96% of children being breased at some point in me of their life • In six out of eleven districts 100% of the children were breasted at some point of their life

25 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen BrBreaseaseded WithinWithin 11 hourhour ofof BirthBirth

100 96.6 91.4 87.2 86.6 84.7 78.6 73 73 en(%) 80 67.2 71.1 69 66.7 60 40

oporon of childr 20 Pr 0

• The average number of children iniated on breaseeding within the first hour of birth was 78.6% • Mangwe and Shamva are the districts that surpassed the naonal target of 90% for children iniated on breaseeding within the first hour of birth. • Murehwa, Binga and Kariba had the least proporon of children iniated on breaseeding within the first our which was less 70%

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 26 PrProporonoporon ofof ChildrChildrenen givgivenen FFoodsoods OtherOther thanthan BrBreaseastt milkmilk WithinWithin 33 DaDayyss ofof BirthBirth

100 90

en(%) 80 70 60 50 40

oporon of childr 30 25.3 24.6 Pr 18.4 18.2 20 8.1 12.3 11.6 10 2.1 3.3 2.8 2.9 0

• Binga has no children introduced to prelacteal feeds within 3 days of birth

• Buhera (25.3%) and Mt Darwin (24.6%) had highest proporon of children introduced to prelacteal feeds within 3 days of birth

27 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe CommonCommon PrPrelactelactealeal FFeedseeds InIntrtroducedoduced WithinWithin 33 DaDayyss ofof BirthBirth

Cooking oil 2.7

Mahewu 0.4

Thin porridge 1.4

Tea or infusions 0.6

ORS or Sugar-salt soluon 0.1

Sweetened water or juice 1.0

Plain Water 7.4

Tinned, powdered, or fresh… 1.4

• Water, cooking oil, thin porridge, nned, powdered of fresh or infant formula and sweetened water or juice were the most common foods used as prelactael feeds

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 28 PrProporonoporon ofof ChildrChildrenen FFeded frfromom aa BoleBole withwith aa TTeaeatt

100 90

en (%) 80 70 60 50 40 30 oporon of childr

Pr 20 10.5 6.2 5.7 10 4.3 3.1 5.1 5.4 3.1 1.1 3.3 5.6 4.7 0

• Murehwa (10.5%) had highest proporon of children fed using a bole with a teat. • Other districts with high figures are Mt Darwin (6.2%), Shamva (5.7%), Mberengwa (5.6%), Epworth (5.4%) and Buhera (5.1%). • Kariba (1.1%) had the least proporon of children fed from a bole with a teat

29 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe ComplemenComplementtararyy FFeedingeeding

• Minimum dietary diversity (MDD) is defined as receiving foods from at least 5 of 8 food groups: 1) breastmilk, 2) grains, roots and tubers, 3) legumes and nuts, 4) dairy products (milk, infant formula, yogurt, cheese), 5) flesh foods (meat, fish, poultry and liver/organ meats), 6) eggs, 7) vitamin-A rich fruits and vegetables, and 8) other fruits and vegetables.

• Minimum meal frequency (MMF) among currently breaseeding children is defined as children who also received solid, semi-solid, or so foods 2 mes or more daily for children age 6-8 months and 3 mes or more daily for children age 9-23 months. For non-breaseeding children age 6-23 months it is defined as receiving solid, semi-solid or so foods, or milk feeds, at least 4 mes.

• The minimum acceptable diet (MAD) for breased children age 6-23 months is defined as receiving the minimum dietary diversity and the minimum meal frequency, while for non-breased children further requires at least 2 milk feedings and that the minimum dietary diversity is achieved without counng milk feeds. (UNICEF/WHO 2017)

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 30 ComplemenComplementtararyy FFeedingeeding PrPraccesacces fforor ChildrChildrenen 6-236-23 MonMonthsths

Minimum Meal Minimum Dietary Minimum Acceptable District frequency Diversity Diet Bikita 48.5 3.0 3.0 Binga 22.7 2.3 0.0 Buhera 47.5 1.7 0.0 Epworth 63.0 14.8 11.1 Hurungwe 64.3 7.1 5.7 Kariba 35.1 1.8 1.8 Mangwe 83.3 0.0 0.0 Mberengwa 85.2 27.8 27.8 Mount Darwin 47.9 25.0 20.8 Murehwa 52.3 2.3 2.3 Shamva 51.2 9.8 9.8 Average 54.8 9.1 7.8

• The average minimum acceptable diet for the 11 district was7.8% while the average minimum dietary diversity was 9.1% and the minimum meal frequency was 54.8%.

• Districts with high minimum acceptable diets were Mberegwa (27.8%) and Mt Darwin (20.8%).

31 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe Food Forficaon and Micronutrient Supplementaon

32

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe FFoodood FForficorficaaonon

• Food Forficaon is the process of adding minute levels of vitamins and minerals to foods, regardless of whether the micronutrient was present or not in that food.

• This is done to address micronutrient deficiencies.

• In line with the Zimbabwe Naonal Food Forficaon Programme, the country made industrial forficaon mandatory for sugar, cooking oil, maize meal and wheat flour.

• This was an addion to mandatory salt iodizaon which commenced in the early 1990s.

• Mandatory industrial food forficaon for the four food vehicles was iniated on the 1st of July 2017.

• In this report the presence of a naonal food forficaon logo on a food item idenfied in the household was a proxy used to indicate that the food item was forfied.

IFIED FO RT O O D F

Naonal Food Forficaon Logo

33 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe AccessAccess ttoo FForfiedorfied SugSugarar Proporon of households with sugar available Proporon of households using sugar with forficaon logo

100 100 98 92 93 94 96 94 90 89 92 90 90 90 85 90 82 82 80 78 79 80 70 66 70 66 64 64 60 59 60 50 48 50 40 40 33 30 30 30 20 20 oporon of households (%) oporon of households (%)

Pr 10 Pr 10 0 0 a e a a e a a a a e a a e a a a e e v v w w win win ag ag orth orth ariba ariba eh eh Bing Bikit Bing er Bikit w er w K engw K engw v Buher v Buher Sham Sham A Ep Mangw Ep A Mangw Mur Mur Hurungw Hurungw Mt Dar Mt Dar Mber Mber

• Binga (33%) and Kariba (30%) had the lowest proporon of children living in households with sugar • Of those households with access to sugar, an average of 90% had access to forfied sugar with the naonal food forficaon logo, with the least recorded in Mangwe (66%) • Access to forfied sugar with a local food forficaon logo was almost universal in Mberengwa (98%) and Mt Darwin (96%)

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 34 AccessAccess ttoo FForfiedorfied Mealie-MealMealie-Meal

Proporon of households who purchased Proporon of households using mealie-meal mealie-meal with forficaon logo

100 100 90 90 80 80 70 70 68 67 63 60 60 53 50 50 40 40 38 36 40 37 32 30 30 26 27 30 26 19 20 20 oporon of households (%) oporon of households (%) 20 14 20 Pr Pr 10 8 4 6 10 7 7 0 0 e a e a a e a a a a e a a e a a a e v v w w ag win win orth ag orth ariba er ariba eh Bing Bikit eh Bing Bikit w w K v er engw K engw Buher Buher v Sham A Sham Ep Mangw Ep Mangw A Mur Mur Hurungw Mt Dar Hurungw Mt Dar Mber Mber

• Only in Epworth does the naonal food forficaon logo has potenal of reaching more than half of households (63%) • Murehwa(4%) and Shamva (6.%) had the lowest proporon of households who purchased mealie-meal. • Bikita and Shamva had no households that purchased mealie-meal with logo whilst Epworth (68.%) and Mt Darwin (67%) had the highest households purchasing forfied mealie meal with the naonal food forficaon logo

35 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe AccessAccess ttoo FForfiedorfied WheaWheatt FlourFlour Proporon of households who purchased Proporon of households using wheat flour wheat flour with forficaon logo

100 100 99 99 100 99 96 97 95 100 90 93 93 90 90 84 80 80 70 70 59 60 60 56 50 50 45 40 40 35 33 30 30 26 28 29 27 23 20 20 17 oporon of households(%) oporon of households (%)

Pr 10 Pr 10 0 0 a e a a e a a a e a e a a e a a a v e w v win w ag win orth ag orth ariba eh Bing er Bikit ariba w eh Bing Bikit K engw w v er K Buher engw Sham Buher v A Ep Sham Mangw Ep Mangw A Mur Hurungw Mur Mt Dar Hurungw Mt Dar Mber Mber

• Mangwe (59.%) had the least proporon of households who had purchased flour and all had no naonal forficaon logo. • On average, 33.% of the households were using purchased wheat flour with naonal forficaon logo. • In Hurungwe among households that purchased wheat flour, no household was accessing forfied flour with a naonal food forficaon logo

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 36 AccessAccess ttoo FForfiedorfied CookingCooking oiloil

Proporon of households purchasing Proporon of households using cooking oil cooking oil with forficaon logo

100 100 98 98 100 95 96 93 95 90 89 90 80 80 78 74 73 70 70 70 66 63 60 60 56 54 52 55 54 50 50 50

40 40 35 30 30 30 30

20 oporon of households(%) oporon of households(%) 20 17 Pr Pr 10 10 0 0 a e a a e a a a e a e a a e a a a e v v w w win ag win ag orth orth ariba ariba eh Bing er Bikit eh Bing er Bikit w w K engw K v engw v Buher Buher Sham Sham A A Ep Mangw Ep Mangw Mur Mur Hurungw Mt Dar Hurungw Mt Dar Mber Mber

• There is potenal to reach more than two-thirds of the households with forfied cooking oil in all the 11 districts. • Of the households that had cooking oil, an average of 89% of the households reported to have purchased. • About half of the households were using purchased cooking oil with a naonal food forficaon logo, • Kariba, Hurungwe, Mangwe and Shamva had less than 50% of Households purchasing cooking oil with the naonal food forficaon logo.

37 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen GivGivenen FFoodood withwith MicrMicronutrienonutrientt PPoowwderderss

100

s (%) 90 80 70 en MNP 60 en giv 50 46 39 40 36 30 26 23 21 20 20 17 11

oporon of childr 10 3 4

Pr 0 0

• On average, 20% of the children had consumed food with MNPs within 7 days prior to the survey • Mangwe (46%) had the highest proporon of children who consumed food with MNPs. • In Hurungwe the progamme of MNP supplementaon had not started and Kariba started during the fourth quarter of 2017. Four of the districts started the program in April 2018 and 4 in November 2018

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 38 VitVitaminamin AA SupplemenSupplementtaaonon CoCovvereragagee

Percentage of children 6-11 months who Percentage of children 12-59 months who received one dose in the past 12 months received two doses in the past 12 months

100 100

90 88 88 90

80 80 70 70 70

65 amin A (%) amin A (%) 60 61 60 56 60 en Vit en Vit 53 52 50 46 50 46 en giv en giv

40 36 40 35 31 32 30 30 24 24 22 24 18 18 20 20 oporon of childr oporon of childr Pr Pr 10 10 10

0 0

• Vitamin A coverage for children 6-11months was higher than that for 12 – 59months for all the districts except Mangwe • Binga and Hurungwe had a coverage of 88% surpassing the vitamin A supplementaon target of 80%

39 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe VitVitaminamin AA SupplemenSupplementtaaonon fforor ChildrChildrenen 6-596-59 MonMonthsths

100 90 80 69.7 70 en(%) 61.2 60 50 44.3 46 44.2 42.4 41 43.8 40 37.3 37.5 35.1 30

oporon of childr 20.4

Pr 20 10 0

Naonal Vit A Target • Binga (69.7%) and Hurungwe (61.2%) had the highest proporon of children that had received the recommended dose of Vitamin A for a year and Bikita (20.4%) had the least • All the districts had Vitamin A coverage lower than the target of 80%.

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 40 Childhood Illness

41

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen 6-596-59 MonMonthsths whowho hadhad DiarrhoeaDiarrhoea inin thethe PPasastt 22 WWeekeekss

100 90 80 en(%) 70 60 50 40

oporon of childr 30 25.0 23.4 22.5 Pr 18.1 19.6 20 14.0 16.9 12.2 10.5 11.0 10.9 12.0 10 0

• The district with the highest proporon of children with diarrhoea was Buhera (25%) which was above the average of 16.9% • Mangwe had the least proporon of children with diarrhoea at 10.5%

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 42 PrProporonoporon ofof ChildrChildrenen 6-596-59 MonMonthsths whowho hadhad FFeevverer inin thethe PPasastt 22 WWeekeekss

100 90 80 en(%) 70 60 50 38.1 40 35.1 oporon of childr 30 26.3 Pr 23.5 20.7 19.6 22.1 20 16.7 15.1 15.6 11.8 10.6 10 0

• Highest proporon of children who had fever in the previous 2 weeks was recorded in Kariba (38.1%) and the least( 10.6%) was recorded in Murehwa .

43 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen 6-596-59 MonMonthsths whowho hadhad CoughCough inin thethe PPasastt 22 WWeekeekss

100 90 80 en(%) 70 60 50 40 36.1 37.7 35.1 31.9 oporon of childr 30 26.3 27.7 27.8 Pr 22.7 22.6 21.3 19 20 17.4 10 0

• Kariba and Buhera had the highest proporon of children who had a cough in the previous 2 weeks, recording 37.7 % and 36.1% respecvely. • The least proporon was found in Murehwa (17.4%)

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 44 FFeedingeeding PrPraccesacces DuringDuring IllnessIllness

100 90 80

en(%) 70 60 50 39.1 40 34.4 31.6 oporon of childr 29.7 29.3 29.4 30.6 28.4

Pr 30 26.4 20 10 5.9 6.4 3.5 3.9 3.2 4.2 0 Much less Somewhat Less About the same More Nothing to eat

Fever Diarrhoea Cough

• Generally children who were suffering from diarrhoea and fever were offered less food than those suffering from cough. • Children who were suffering from diarrhoea (4.2%), fever (5.9%) and cough(6.4%) were given nothing to eat during illness.

45 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe FFeedingeeding PrPraccesacces DuringDuring IllnessIllness

100 90 80 en(%) 70 60 50 42.8 40 33.2 oporon of childr 30 29.7 28.0 Pr 22.4 22.8 22.2 20.9 19.8 21.7 19.1 20 14.8 10 0.9 0 0.3 0.8 Much less Somewhat Less About the same More Nothing to drink

Fever Diarrhoea Cough

• About 28.0% of the children suffering from fever, 33.2% from diarrhoea and 42.8% from cough were given about the same amount of liquids to drink during illness.

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 46 Child Anthropometry

47

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen WWeighedeighed inin thethe PPasastt 3030 DaDayyss

100 90

en(%) 80 70 66 60 7.5 55.2 50 7.2 40.1 40.2 35.2 35 34.5 37.2 40 4.2 33.1 26.6 6.6 17.7 6.8 27.2 4.2 7.9

oporon of childr 30 58.5 6.3

Pr 14.9 10.6 48 7.6 20 35.9 28.6 30.3 29.3 5 22.5 28.2 26.8 10 16 19.6 9.9 0

Yes, confirmed on card Yes, on recall

• Binga ( 66%) and Mangwe (55.2%) had the highest proporon of children who had been weighed in the previous 30 days . • recorded the least proporon( 14,9%) of children who had been weighed in the previous 30 days .

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 48 PrProporonoporon ofof ChildrChildrenen 6-596-59 MonMonthsths MeasurMeasureded HeighHeightt inin PPasastt 3030 dadayyss

100 90 en(%) 80 70 60 51.3 46.2 50 7.9 40 5.4 32.3 30.8 27.6 27.7 27.5 30 3 21.1 19.2 4.4 17.7 4.3 20.2 4.2 5.2 43.4 oporon of childr 20 40.8 4.9 7.4 8 29.3 4.3 6.3 Pr 10 26.4 23.3 23.5 22.3 3.3 11.2 13.4 13.9 16.2 0 4.1

Yes, confirmed on card Yes, on recall

• Generally all the 11 districts had less than 50% of the children reported(confirmaon by the child health card) to have been taken height measurements in the previous 30 days .

• The least number of children taken height was recorded in Bikita district(7.4%).

49 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen 6-596-59 MonMonthsths withwith MUMUAACC MeasurMeasureded inin thethe PPasastt 3030 DaDayyss

100 90 80 en(%) 70 63.2

60 8.8 48.7 50 36.9 7.9 40 33.7 32.1 31.8 31.9 29.5 oporon of childr 26.6 30 15 2.5 Pr 54.4 6 9.8 8.3 18 19.7 6.3 20 14.9 40.8 10.8 3.6 7 29.4 10 25.8 21.9 23.9 23.2 23.8 5 11.7 14.4 12.7 0 5.8

Yes, confirmed on card Yes, on recall

A total of 10 out of 11 districts recorded less than 50% of the children who were measured MUAC in the last 30 days Only 1 district, Binga recorded 63.2% of the children to have been measured MUAC in the last 30 days .

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 50 PrProporonoporon ofof ChildrChildrenen withwith AcutAcutee MalnutrionMalnutrion bbyy DisDistricttrict (WHO(WHO StStandarandards)ds)

10 9 8 en(%) 7 6 5.5 4.5 5 4.2 3.8 4 0.7 3.3 1.9

oporon of childr 1.3 2.6 3 5.5 Pr 2.1 1.3 1.7 1.8 0.7 2 3.5 1.2 0.8 2.6 0.6 2.5 0.9 1 0.5 2.1 2 1.9 0.8 1.1 1.2 0.9 0 0.5

MAM SAM • Global Acute Malnutrion (GAM) ranged from 0.5 % to 5.5 %.

• Majority of the districts had a prevalence of Global Acute Malnutrion of less than 5% except for Shamva which recorded 5.5%.

51 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof ChildrChildrenen withwith StunStunngng

100 90 80 en(%) 70 60 50 33.8 40 31 32 31.3 27.7 28 27.9 25.5 25.1 24.6 24.2 oporon of childr 30 23.6

Pr 22.3 20 20.9 19.6 24.8 26 22.6 20.5 16 18.6 17.6 20.6 14.8 10 11.5 8.4 8.7 9.4 0 7.6 6.9 7.5 6.8 4 6.2 6 7.4

Severe Stunng Moderate Stunng

• All 11 districts had high stunng rates of above 20%.

• The highest was Epworth with 33.8% and the least was Bikita with 23.6%.

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 52 PrProporonoporon ofof UnderUnderwweigheightt ChildrChildrenen

30 25

en(%) 20.1 20 15.2 14.1 15 8.6 10.8 10.4 13.0 7.5 11.1 8.6 17.5 10 6.8 7.5 13.8 7.4 9.9 12.5 9 8.9 oporon of childr 5 5 5.9 5.7 8 7.3 Pr 3.7 3.1 0 2.5 1.4 1.6 1.1 0.6 1.4 1.3 2.6 1.6 1.9

Severe Underweight Moderate underweight

• Moderate underweight was above 5% in all the districts with Murehwa having a high proporon of 17.5%. • Severe underweight was below 5% in all the districts. • The highest prevalence of underweight amongst children was in at 20.1% and least in Hurungwe at 6.8%.

53 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof OvOvererwweigheightt ChildrChildrenen

10 9 8 7 6.6

en(%) 5.7 6 5.3 5.3 5 5

4 3.5 3.3 4.4 3 6.6 2.1 4.4 5.3 5.3 oporon of childr 1.4 2.8 Pr 2 1.2 2.9 1.6 0.6 0.8 1 0.6 1.4 1.3 0.8 0 0.5 0.6 0.6 0.6 0.7 0.4

Severe Overweight Moderate Overweight

• The prevalence of overweight was high in Bikita district at 6.6% and least in Kariba district at 0.6%.

• A total of 6 out 11 districts recorded 0% severe overweight.

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 54 Water, Sanitaon and Hygiene (WASH)

55

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe LadderLadder fforor DrinkingDrinking WWaatterer SerServicesvices

Service level Definion Safely Managed Drinking water from an improved water source that islocated on premises, available when needed and freefrom faecal and priority chemical contaminaon Basic drinking water Basic drinking water services are definedas drinking water from an improved source, provided collecon me is not more than 30minutes for a roundtrip including queuing.

Limited drinking water services Limited water services are defined as drinking water from an improved source, where collecon me exceeds 30 minutes for a roundtrip including queuing. Unimproved water sources Drinking water from an unprotected dug well or unprotected spring.

Surface Water sources Drinking water directly from a river, dam, lake, pond, stream, canal or irrigaon channel.

Note : Improved” drinking water sources are further defined by the quality of the water they produce, and are protected from fecal contaminaon by the nature of their construcon or through an intervenon to protect from outside contaminaon. Such sources include: piped water into dwelling, plot, or yard; public tap/standpipe; tube well/borehole; protected dug well; protected spring; or rainwater collecon. This category now include packaged and delivered water, considering that both can potenally deliver safe water.

Source: UNICEF and WHO

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 56 AccessAccess ttoo DrinkingDrinking WWaatterer

100 0.0 5.0 2.5 0.8 10.8 5.8 15.4 11.9 13.6 90 10.8 13.3 29.4 28.3 31.3 80 8.3 30.3 11.5 37.3 43.4 25.0 12.4 16.7 70 1.3 9.6 0.9 60 9.2 29.1 3.1 14.9 11.7 22.3 28.2 10.3 17.5 50 40.8 60.6 28.6 31.1 72.9 40 19.8 43.3 30 47.5 oporon of households (%) 35.3 44.9

Pr 43.3 20 44.6 26.4 29.4 28.6 28.5 10 15.4 11.6 5.0 8.7 7.1 0 0.0 0.0 2.1 2.6

Safely managed Basic Limited Unimproved Surface water • (29.4%) had the highest proporon of households drinking water from water sources that were located on premises though tests for feacal and chemical contaminaon of these water sources were not carried out. • (43.4%) had the highest proporon of households drinking water from surface water sources such as dams and rivers. On average only 69.8% households from the assessed districts were drinking water from Improved water 57 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe PrProporonoporon ofof HouseHouse holdsholds whowho trtreaeatt DrinkingDrinking wwaatterer

100 90 80 70 60 50 40 30 20 13.5 oporon of households (%) 12.7 13.1 7.9 9.7 7.8 Pr 10 5.3 5.4 2.8 5.3 3.9 0

• The proporon of households that treat their drinking water was between 2.8% and 13.5% with Murehwa having the highest and Hurungwe the least.

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 58 TTypeype ofof WWaatterer TTrreaeatmentmentt

Type of Water Treatment District Boil Add bleach or Let stand and sele Add water treatment chlorine (Jik) (sedimentaon) tablet Bikita 1.7 1.7 0.0 0.8 Binga 2.9 0.0 0.4 0.0 Buhera 8.4 2.9 0.0 2.1 Epworth 4.2 3.4 0.0 0.0 Hurungwe 4.2 0.0 0.0 0.0 Kariba 7.5 0.0 0.0 0.8 Mangwe 5.2 0.0 0.0 0.0 Mberengwa 5.0 0.4 0.0 0.8 Mt Darwin 6.2 5.7 0.4 3.5 Murehwa 6.1 3.5 0.0 6.1 Shamva 0.8 1.7 0.0 5.0 Average 4.7 1.8 0.1 1.7

• The most common type of water treatment was boiling (4.7%) and the least was sedimentaon (0.1%)

59 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe SanitSanitaaonon LadderLadder

SERVICE LEVEL DEFINITION SAFELY MANAGED Use of improved facilies that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite BASIC Use of improved facilies that are not shared with other households LIMITED Use of improved facilies shared between two or more households UNIMPROVED Use of pit latrines without a slab or plaorm, hanging latrines or bucket latrines OPEN DEFECATION Disposal of human faeces in fields, forests, bushes or with solid waste

Note: improved facilies include flush/pour flush to piped sewer systems, sepc tanks or pit latrines; venlated improved pit latrines, composng toilets or pit latrines with slabs

Source: UNICEF and WHO

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 60 PrProporonoporon ofof HouseHouse holdhold bbyy LeLevvelel ofof SanitSanitaaonon SerServicesvices

100 1.3 1.7 16.3 90 18.8 24.1 17.9 32.8 28.8 35.3 29.9 80 39.8 13.7 56.7 70 61.8 28.8 1.7 14.9 74.4 5.0 8.2 0.8 28.3 8.4 60 2.5 8.3 22.9 50 7.9 22.7 14.0 21.3 5.0 40 2.1 27.1 30 20.0 58.8 50.6 46.9 0.4 47.1 45.2 51.2 20 12.8 37.8 35.8 34.9 23.3 oporon of households (%) 10 12.4 18.3

Pr 0 2.9 0.0 1.7 2.1 0.0 2.6 5.0 0.0 1.8 0.8 4.7

Safely managed Basic Limited Unimproved Open defacaon

• On average, one in three households use improved sanitary facilies and Epworth district had the highest proporon of households using safely managed sanitaon facilies(34.9%). • Binga district had the highest proporon of households praccing open defacaon. • On average 29.9%households from the assessed districts were praccing open defacaon.

61 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe HyHygienegiene LadderLadder

SERVICE LEVEL DEFINITION

BASIC Availability of a handwashing facility on premises with soap and water

LIMITED Availability of a handwashing facility on premises without soap and water

NO FACILITY No handwashing facility on premises

Source: UNICEF and WHO

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 62 PrProporonoporon ofof HouseHouse holdhold bbyy HandHand WWashingashing FFaciliesacilies

100 90 80 70

60 81.5 87.7 91.2 92.9 92.5 92.3 90.9 93.3 92.2 50 97.9 97.9 95.6 40 oporon of households (%)

Pr 30 20 5.5 10 5.7 13.0 4.2 4.1 4.2 5.4 3.9 5.0 4.1 1.7 1.7 4.6 2.9 3.9 5.0 6.6 3.9 3.7 0 0.4 0.4 2.1 0.4 1.7

Basic Limited No facility • About 92.2% of households across the 11 assessed districts had no hand washing facilies. • Buhera district had the highest proporon of households with basic hand washing facilies. • had the highest proporon of households with limited hand washing facilies 63 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe ConclusionsConclusions andand RRececommendaommendaonsons

• The prevalence of GAM across the 11 domains ranged between 0.5%-5.5% .A total of 3 districts had GAM above 4 % namely Binga, Epworth and Shamva. The Ministry of Health and Child Care needs to strengthen idenficaon and referral of children with acute malnutrion for treatment in these 3 districts.

• The monthly coverage of growth monitoring ranged from 7.4%-51.3% for height, 14.9%-66.0% for weight and 10.8%-63.2% for MUAC across the 11 domains. Therefore there is need to improve community and health centre based growth monitoring in the all districts.

• All the assessed eleven domains had high stunng levels above the acceptable global threshold of 20%. The Government of Zimbabwe need to scale up high impact nutrion intervenons.

• The proporon of children meeng the minimum acceptable diet was very low ranging from 0% to 28%. There is need to strengthen community based nutrion specific and sensive intervenons to improve the nutrion outcomes.

• The vitamin A supplementaon coverage for children 6-59 months was very low ranging from 20.4% to 69.7%. There is need to strengthen community based vitamin A supplementaon

• The coverage for micronutrient powders distribuon was below 50% across all the 11 districts. There is need to increase resource allocaon at sub naonal level for advocacy and programme logiscs

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 64 ConclusionsConclusions andand RRececommendaommendaonsons

• Three districts namely Binga, Kariba and Mangwe had a high proporon of households that are fetching drinking water from surface sources and the same districts including Buhera, Bikita, Mberengwa and Murehwa have high proporon of households praccing Open Defecaon. Therefore there is need to capacitate communies on the importance of hygiene through various plaorms such as Parcipatory Health and Hygiene Educaon (PHHE) services priorising districts with low water and sanitaon coverages

• There is need to design behavior- change intervenons and by-laws that enforce the construcon of appropriate sanitaon facilies at each household and installaon of community piped water schemes from the Zambezi river.

• They were no hand washing facilies at most households. WASH acvies should be mainstreamed into all departments and social gatherings.

• There is need for the Ministry of Health and Child Care to connue engaging stakeholders parcularly producers of maize meal and wheat flour on the need to comply with the food forficaon legislaon.

• The majority of children across the 11 domains were not fed appropriately during illness. The Ministry of Health and Child Care need to improve on IYCF counselling and educaon for caregivers during childhood illness.

65 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe RReporteport WWringring TTeameam

Name Organisaon Email

Bonzo Nesbert Ministry of Health and Child Care bonzo[email protected]

Chafanza Elizabeth M Ministry of Health and Child Care [email protected]

Chagwena Dexter Ministry of Health and Child Care [email protected]

Chibanda Godfrey Ministry of Health and Child Care [email protected]

Chigumbu Walter Ministry of Health and Child Care – PMD Mash West [email protected]

Chineka Annastancia UNICEF [email protected]

Gwamanda Nyasha Ministry of Health and Child Care – PMD Mash East [email protected]

Kambarami Tinashe C Ministry of Health and Child Care [email protected]

Katuruza Elizabeth Ministry of Health and Child Care–PMD Mat North [email protected] Kundodyiwa Greenfield Ministry of Health and Child Care [email protected]

Machaka Ruth Ministry of Health and Child Care – PMD Mash Central rumachaka78@gmail

Mahefu Musa Ministry of Health and Child Care – PMD Midlands [email protected]

Makanganise Vakai Ministry of Health and Child Care [email protected]

Makenga Lenin F Ministry of Health and Child Care - PMD Mash Central [email protected]

Manyengawana Killian Ministry of Health and Child Care [email protected]

SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe 66 RReporteport WWringring TTeameam

Name Organisaon Email

Mazarura Innocent Ministry of Health and Child Care - PMD Mat South [email protected]

Moyo Zanele Ministry of Health and Child Care –PMD [email protected]

Mwashaireni Thembani C Ministry of Health and Child Care [email protected]

Nemaramba Mildred Ministry of Health and Child Care [email protected]

Njovo Handrea Ministry of Health and Child Care [email protected]

Nyadzayo Tasiana Ministry of Health and Child Care [email protected]

Nyathi Craig UNICEF [email protected]

Tshuma Annabel Fungai Ministry of Health and Child Care – PMD Mat South [email protected]

67 SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe SMART SURVEY 2019 Results of The Emergency Nutrition Assessment in 11 Selected Districts, Zimbabwe