Evidence map›Paper›PMID 32859649›Full record

ArticleBMJ global health2020

The impact of a health facility construction campaign on health service utilisation and outcomes: analysis of spatially linked survey and facility location data in Ethiopia.

Kevin Croke, Andualem Telaye Mengistu, Stephen D O'Connell, Kibrom Tafere

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Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
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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

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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, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Kevin CrokeGlobal Health and Population, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA kcroke@hsph.harvard.edu.ORCID 0000-0002-4750-9280
Andualem Telaye MengistuPolicy Studies Institute, Addis Ababa, Ethiopia.
Stephen D O'ConnellDepartment of Economics, Emory University, Atlanta, Georgia, USA.
Kibrom TafereDevelopment Economics Group, World Bank Group, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to health facilities in many low-income and middle-income countries remains low, with a strong association between individuals' distance to facilities and health outcomes. Yet plausibly causal estimates of the effects of facility construction programmes are rare. Starting in 2004, more than 2800 government health facilities were built in Ethiopia. This study estimates the impact of this programme on maternal health service utilisation and birth outcomes.

methodsWe analyse the impact of Ethiopia's health centre construction programme on health service utilisation and outcomes, using a difference-in-difference design. We match facility opening years to child birth years in four rounds of Demographic and Health Surveys (DHS) using georeferenced data. We also use event study models to test for pre-trends in the outcomes of interest.

resultsOpening of new health facilities within 5 km increases facility delivery by 7.2 percentage points (95% CI 5.2 to 9.1) and antenatal care by 0.38 visits (95% CI 0.24 to 0.52). It is not significantly associated with changes in caesarean section births or neonatal mortality. Opening of district hospitals increases facility delivery by 18.2 percentage points (95% CI 12.7 to 23.7), and caesarean section births by 6.8 percentage points (95% CI 2.5 to 11.2), but is not associated with reduction of neonatal mortality.

conclusionsEthiopia's facility construction program improved access to antenatal and delivery care. However, there was no detectable association between facility construction and neonatal mortality. Increased access to care must be combined with health system quality improvements and broader social development initiatives to sustainably improve health outcomes.

Indexed as

Delivery, ObstetricMaternal Health ServicesCesarean SectionChildEthiopiaFacility Design and ConstructionFemaleHumansInfant, NewbornPregnancyhealth economicshealth policyhealth systems evaluationmaternal health

Identifiers

PMID32859649
PMCPMC7454195

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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.