Evidence map›Paper›PMID 38055817›Full record

ArticleScience advances2023

U.S. global health aid policy and family planning in sub-Saharan Africa.

Nina Brooks, Matt Gunther, Eran Bendavid, Elizabeth H Boyle, Kathryn Grace, Grant Miller

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

6 authors.

Nina BrooksDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0003-3409-5434
Matt GuntherInstitute for Social Research and Data Innovation, University of Minnesota, Minneapolis, MN, USA.ORCID 0009-0007-5711-2723
Eran BendavidSchool of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-8364-4711
Elizabeth H BoyleInstitute for Social Research and Data Innovation, University of Minnesota, Minneapolis, MN, USA.
Kathryn GraceInstitute for Social Research and Data Innovation, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0003-4822-6183
Grant MillerSchool of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0003-3191-2558

Funding

Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
NICHD NIH HHS P2C HD041023
6 · The paper itself

Abstract

The Trump administration reinstated and expanded the Mexico City Policy (MCP) in 2017 as the Protecting Life in Global Health Assistance (PLGHA) policy, forbidding international organizations receiving all U.S. health assistance from promoting abortion. Existing evidence suggests that abortion rates rise under the MCP, but the direct effect of U.S. funding restrictions on supply and use of family planning has received less attention. By studying PLGHA's impact on health service delivery providers and women in eight sub-Saharan African countries, we are able to fill this gap. We find that health facilities provide fewer family planning services, including emergency contraception, and that women are less likely to use contraception and more likely to have given birth recently under the policy. These findings suggest that PLGHA has important unintended consequences that are detrimental to reproductive health and the autonomous decision-making of health service providers and women.

Indexed as

Abortion, InducedFamily Planning ServicesAfrica South of the SaharaFemaleGlobal HealthHumansPolicyPregnancy

Identifiers

PMID38055817
PMCPMC10699769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.