Evidence map›Paper›PMID 35508340›Full record

ArticleBMJ open2022

Healthcare accessibility in preconflict Syria: a comparative spatial analysis.

Mhd Nour Audi, Kevin M Mwenda, Guixing Wei, Mark N Lurie

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline 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

4 authors.

Mhd Nour AudiHeilbrunn Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York, USA nour.audi@columbia.edu.ORCID 0000-0002-8134-108X
Kevin M MwendaSpatial Structures in the Social Sciences (S4), Population Studies and Training Center (PSTC), Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-1709-7350
Guixing WeiSpatial Structures in the Social Sciences (S4), Population Studies and Training Center (PSTC), Brown University, Providence, Rhode Island, USA.
Mark N LurieBrown University, School of Public Health, International Health Institute, Providence, Rhode Island, USA.ORCID 0000-0002-3153-1715

Funding

Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI Margot Jackson · 2016 to 2026
$7.6M
NICHD NIH HHS P2C HD041020
6 · The paper itself

Abstract

introductionThere is scarce information about the allocation of health resources in Syria. Pre-existing inequalities were further intensified after the 2011 conflict which displaced over 50% of the population. This study provides an analysis of health inequalities in Syria focusing on spatial access to public hospitals and employs data from 2010, just prior to the outbreak of conflict. Establishing a preconflict snapshot of the health system could serve as a helpful baseline assessment for future studies to measure the impact of the conflict on the health system. Such information could also offer systematic data to guide postconflict reconstruction efforts.

methodsWe compared two methods to quantify the inpatient bed access: provider to population ratio (PPR) and two-step floating catchment area (2SFCA) method. We compared PPR calculated at the governorate level with population weighted 2SFCA score calculated at a resolution of 2 km by 2 km. We then aggregated at the governorate level, tested multiple catchment sizes and calculated Gini coefficient for each governorate.

resultsWe found high inequality in access to public hospitals across and within governorates, especially in the north and eastern regions, where all governorates ranked in the lowest two quintiles using both PPR and 2SFCA. Relatively small governorates in the west and the south had higher spatial access and less inequality. Testing variability in catchment size showed that even at 125 km catchment, 65% of the country had accessibility below national average.

conclusionMethodologically, the use of 2SFCA provided more nuanced insights about hospital bed allocation than PPR. 2SFCA was able to account for the cross-boundary effect and road network quality. Realistic representation of health accessibility is possible in data-scarce settings such as Syria and could be adapted to assess health access inequalities in conflict and postconflict settings.

Indexed as

Health FacilitiesHealth Services AccessibilityCatchment Area, HealthHumansSpatial AnalysisSyriaHealth services administration & managementinternational health servicesorganisation of health servicespublic health

Identifiers

PMID35508340
PMCPMC9073410

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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.