Evidence map›Paper›PMID 32124543›Full record

ArticleHealth economics2020

Can conditional cash transfers improve maternal health care? Evidence from El Salvador's Comunidades Solidarias Rurales program.

Alan de Brauw, Amber Peterman

Open access · hybridAbstract read
In one paragraph

Article in Health economics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 3% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  15. Financial incentives and maternal health: where do we go from here?Journal of health, population, and nutrition · 2013
    Review
  16. Impact of conditional cash transfers on maternal and newborn health.Journal of health, population, and nutrition · 2013
    Article
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

2 authors at 1 institution in 1 country.

Alan de BrauwMarkets, Trade and Institutions, International Food Policy Research Institute, Washington DC, United States.ORCID 0000-0002-5045-8939
Amber PetermanSocial and Economic Policy, UNICEF Office of Research-Innocenti, Florence, Italy.ORCID 0000-0002-3921-5936
International Food Policy Research Institute · US

Funding

Government of El Salvador (FISDL)
6 · The paper itself

Abstract

There is growing evidence on positive human capital impacts of large, poverty-focused cash transfer programs. However, evidence is inconclusive on whether cash transfer programs affect maternal health outcomes, and if so, through which pathways. We use a regression discontinuity design with an implicit threshold to evaluate the impact of Comunidades Solidarias Rurales in El Salvador on four maternal health service utilization outcomes: (a) prenatal care; (b) skilled attendance at birth; (c) birth in health facilities; and (d) postnatal care. We find robust impacts on outcomes at the time of birth but not on prenatal and postnatal care. In addition to income effects, supply-side health service improvements and gains in women's agency may have played a role in realizing these gains. With growing inequalities in maternal health outcomes globally, results contribute to an understanding of how financial incentives can address health systems and financial barriers that prevent poor women from seeking and receiving care at critical periods for both maternal and infant health.

Indexed as

Maternal Health ServicesEl SalvadorFemaleHumansInfantInfant, NewbornMaternal HealthMotivationPregnancyPrenatal Careconditional cash transfersEl Salvadorimplicit partitionmaternal healthregression discontinuity design

Identifiers

PMID32124543
PMCPMC7383823
OpenAlexW3009646738

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.