Evidence map›Paper›PMID 34986844›Full record

ArticlePopulation health metrics2022

Estimating the impact of donor programs on child mortality in low- and middle-income countries: a synthetic control analysis of child health programs funded by the United States Agency for International Development.

William Weiss, Bhumika Piya, Althea Andrus, Karar Zunaid Ahsan, Robert Cohen

Abstract read
In one paragraph

Article in Population health metrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

William WeissDepartment of International Health, John Hopkins University & Public Health Institute (USAID Contractor), 615 N. Wolfe Street, Rm E8132, Baltimore, MD, 21205, USA. wweiss1@jhu.edu.ORCID 0000-0003-3013-8599
Bhumika PiyaGlobal Programs, Water For People, 100 E. Tennessee Ave, Denver, CO, 80209, USA.
Althea AndrusAlutiiq (State Department Contractor), 2000 N. Adams St., Arlington, VA, 22201, USA.
Karar Zunaid AhsanUNC Center for Health Equity Research, School of Medicine, The University of North Carolina at Chapel Hill, 323 MacNider Hall 333 South Columbia Street, Chapel Hill, NC, 27599-7240, USA.
Robert CohenCamris International (USAID Contractor), 3 Bethesda Metro Center, 16th Floor, Bethesda, MD, 20814, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignificant levels of funding have been provided to low- and middle-income countries for development assistance for health, with most funds coming through direct bilateral investment led by the USA and the UK. Direct attribution of impact to large-scale programs funded by donors remains elusive due the difficulty of knowing what would have happened without those programs, and the lack of detailed contextual information to support causal interpretation of changes.

methodsThis study uses the synthetic control analysis method to estimate the impact of one donor's funding (United States Agency for International Development, USAID) on under-five mortality across several low- and middle-income countries that received above average levels of USAID funding for maternal and child health programs between 2000 and 2016.

resultsIn the study period (2000-16), countries with above average USAID funding had an under-five mortality rate lower than the synthetic control by an average of 29 deaths per 1000 live births (year-to-year range of - 2 to - 38). This finding was consistent with several sensitivity analyses.

conclusionsThe synthetic control method is a valuable addition to the range of approaches for quantifying the impact of large-scale health programs in low- and middle-income countries. The findings suggest that adequately funded donor programs (in this case USAID) help countries to reduce child mortality to significantly lower rates than would have occurred without those investments.

Indexed as

Child MortalityFinancial ManagementChildChild HealthDeveloping CountriesHumansUnited StatesUnited States Agency for International DevelopmentChild mortalityDonor assistanceImpact evaluationIntegrated Management of Childhood Illness (IMCI)Low- and middle-income countries (LMICs)Maternal and child health (MCH)Quasi-experimental methodsSynthetic control analysisUnited States Agency for International Development (USAID)

Identifiers

PMID34986844
PMCPMC8734298

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.