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The effects of short-term cash and food incentives on food insecurity and labor force The effects of short-term cash and food incentives on food insecurity and labor force

The effects of short-term cash and food incentives on food insecurity and labor force - PowerPoint Presentation

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The effects of short-term cash and food incentives on food insecurity and labor force - PPT Presentation

adults initiating ART in rural Tanzania Carolyn Fahey Prosper Njau Ntuli Kapologwe William Dow and Sandra McCoy July 25 2017 9th IAS Conference on HIV Science Food insecurity is a barrier to HIV care ID: 630609

cash food art amp food cash amp art security adherence effects insecurity retention weiser comparison scale 2015 study incentives

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Slide1

The effects of short-term cash and food incentives on food insecurity and labor force participation among adults initiating ART in rural Tanzania

Carolyn Fahey, Prosper Njau, Ntuli Kapologwe, William Dow, and Sandra McCoyJuly 25, 20179th IAS Conference on HIV ScienceSlide2

Food insecurity is a barrier to HIV care

Food Insecurity

Adherence & Retention

Nutritional Status

Livelihood Activities

Weiser et al. 2011; Singer, Weiser & McCoy 2015

Inadequate access to food of sufficient quantity and quality, or the inability to acquire food in socially acceptable ways.

(UN, 2001)Slide3

Short-term cash/food assistance can improve ART adherence & retention

Improved ART adherence & retention in care after 6 months of randomized cash/food incentives in Tanzania (McCoy et al. 2017)MPR≥95%: 63% comparison vs. 85% cash

(P<0.01), 79% food (

P<0.01)Other evidence:

Zambia

(Cantrell et al. 2008,

Tirivayi

et al. 2012)

Haiti

(Ivers et al. 2010)Honduras (Martinez et al. 2014)Slide4

Limited understanding of pathways

Food Insecurity

Adherence & Retention

Nutritional Status

Livelihood Activities

Cash/Food Assistance

Weiser et al. 2011; Singer, Weiser & McCoy 2015Slide5

Mixed evidence for effects of cash/food on food insecurityFood assistance

Zambia ( adherence):  weightHaiti (

 visit attendance):

 food security,

BMI

Honduras (

adherence):

 food security, 

BMIUganda:  weight among ART naive,

 weight among ART patientsCash or economic assistanceMalawi (

ability to obtain ARVs):  food security Kenya (

 viral suppression): 

food security

Cantrell 2008,

Tirivayi

2012;

Ivers

2010; Martinez 2014 &

Palar

2015;

Rawat

2010; Miller &

Tsoka

2012; Weiser 2015

 No effect Positive effect Negative effectSlide6

Study ObjectiveTo examine the effects of short-term cash and food incentives on food

security, nutrition, and livelihoods.Protocol: McCoy SI et al. BMC Infectious Diseases 2015;15:490.Trial Registration: Clinicaltrials.gov, NCT01957917

Ethical Approvals: National Institute for Medical Research & UC BerkeleySlide7

Study Population and SettingPLHIV at 3 HIV primary care clinics in Shinyanga, Tanzania

Inclusion criteria:≥18 years Initiated ART ≤90 days before enrollmentFood insecure (Household Hunger Scale, FANTA 2011)Exclusion criteria: Severe malnourishment (BMI<16 kg/m

2)Slide8

Study Design: Randomized Trial

Standard of care

Nutrition assessment & counseling

Cash

Monthly cash transfer

22,500 TZS (~$11)

Food

Monthly food basket

12kg maize flour + 3kg beans + 3kg groundnuts (~$11)

Up to 6 consecutive months of support.

Conditional on attending scheduled visits.

Comparison

InterventionSlide9

OutcomesFood securityHousehold Hunger Scale (HHS): severe hunger

Household Food Insecurity Access Scale (HFIAS): score 0-27Nutritional statusBody-mass index (BMI, kg/m²)Weight gain (kg)Participation in livelihood activitiesCurrently workingFunctional limitation (inability to work due to illness)

USAID, Food and Nutrition Technical Assistance Project (FANTA)

Poster Exhibitions

: Expenditures (TUPED1334), effect heterogeneity (TUPED1299) Slide10

Baseline Characteristics

Overall

(

n

=800)

Study group

P

a

Comparison

(

n

=112

)

Intervention

(n=688)

Demographics

Age

(years)

37 (10.3)

35 (9.3)

37 (10.5)

0.05

Female

509

(

64%)

73 (65%)

436 (64%)0.71Swahili is primary language489 (61%)80 (71%)409 (59%)0.02No formal education194 (24%)23 (21%)171 (25%)0.32Farmer (primary occupation)405 (51%)47 (42%)358 (52%)0.05Clinical characteristicsCD4 cell count (cells/μl) b210 (149)218 (160)

548 (160)0.58

WHO

 

clinical stage

3-4

453 (57%)

56 (51%)

397 (58%)

0.14

Data are mean (SD) or n (%). a. Chi-squared test for categorical variables and t-test for continuous variables. b.

n

=637.Slide11

Baseline Outcome Values

Overall

(

n

=800)

Study group

P

a

Comparison

(

n

=112

)

Intervention

(n=688)

Food security

HHS: Severe

328 (41%)

41 (37%)

287

(

42%)

0.31

HFIAS (0-27)

15.9 (5.2)

15.6 (5.2)

15.9 (5.2)0.59Nutritional statusBMI (kg/m2) b21.5 (3.5)21.7 (3.3)21.4 (3.5)0.40Weight (kg)56.5 (9.4)58.1 (10.2)56.2 (9.2)0.04Livelihood activitiesCurrently working462 (58%)72 (64%)390 (57%)0.13Functional limitation

439 (55%)64 (57%)

375 (55%)

0.60

Data are mean (SD) or n (%). HHS=Household Hunger Scale; HFIAS=Household Food Insecurity Access Scale;

BMI=Body-mass index. a. Chi-squared (

χ²

) test for categorical variables and t-test for continuous variables. b.

n

=772. Slide12

Participants assessed at 6 monthsSlide13

Outcomes at 6 months

Comparison

estimate (SE)

Intervention

estimate (SE)

P

Food security

HHS: Severe

13.4%

(0.06)

10.2%

(0.02)

0.57

HFIAS (0-27)

10.5

(1.3)

10.3

(0.3)

0.86

Nutritional status

BMI

(kg/m

2

)

22.2

(0.22)

22.5 (0.12)0.25Weight gain (kg)2.1 (0.42)2.4 (0.19)0.61Livelihood activitiesCurrently working72% (0.07)72% (0.02)0.97Functional limitation25% (0.07)11% (0.01)0.02Adjusted for baseline imbalances including age, language, occupation, and weight. Weighted using inverse probability of missing (IPW) 6-month assessment.Slide14

Changes in outcomesSlide15

Limitations

Attrition.Some self-reported outcomes.Small effects of cash/food may be obscured by strong benefits of starting ART.Slide16

DiscussionCash and food incentives increased ART adherence and retention.

Food security, nutrition and livelihoods improved within groups.Incentives did not augment these improvements.Except for significantly less functional limitation.

Suggests that cash and food transfers acted primarily via the price incentive to increase ART adherence, rather than

income effects. Future studies are needed

to understand long-term effects, and mechanisms that may increase and

sustain retention in HIV

services. Slide17

Acknowledgements

UC BerkeleyDr. Sandra McCoyDr. William DowDr. Nicholas JewellDr. Nancy PadianDr. Nancy CzaickiFinancial SupportNIH/NIMH: K01MH94246, R03MH105327

Shinyanga Regional Medical Office

Dr. Ntuli Kapologwe

Ms. Agatha

Mynippembe

Ministry

of Health, Gender, Community Development, Elderly and Children

Dr. Prosper

Njau