Evidence map›Paper›PMID 40764942›Full record

ArticleConflict and health2025

Healthcare under fire: quantifying the impact of violence on medical services in facilities supported by International Medical Corps in three prefectures of Central African Republic, 2016-2020.

Natalya Kostandova, Jennifer OKeeffe, Audrey Mahieu, Blaise Bienvenu Ali, Christian Mulamba, Pierre Somsé, Odilon Guesset Bingou Iv, Sebastien Dackpa, Gerard Mbonimpa, Thierry Fikiri and 2 more

Abstract read
In one paragraph

Article in Conflict and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Natalya Kostandova *International Medical Corps, Washington, DC, USA.
Jennifer OKeeffe *Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Audrey MahieuGeneva Centre of Humanitarian Studies, University of Geneva, Geneva, Switzerland.
Blaise Bienvenu AliInstitut Centrafricain des Statistiques et des Etudes Economiques et Sociales, Bangui, Central African Republic.
Christian MulambaInternational Medical Corps, Bangui, Central African Republic.
Pierre SomséMinistère de la Santé et de la Population, Bangui, Central African Republic.
Odilon Guesset Bingou IvInstitut Centrafricain des Statistiques et des Etudes Economiques et Sociales, Bangui, Central African Republic.
Sebastien DackpaInstitut Centrafricain des Statistiques et des Etudes Economiques et Sociales, Bangui, Central African Republic.
Gerard MbonimpaInternational Medical Corps, Bangui, Central African Republic.
Thierry FikiriInternational Medical Corps, Bangui, Central African Republic.
Larissa FastHumanitarian and Conflict Response Institute, University of Manchester, Manchester, UK. larissa.fast@manchester.ac.uk.
Leonard RubensteinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttacks on healthcare in the Central African Republic (CAR) are widespread, under-reported, and inadequately addressed. This study examined the impact of attacks on healthcare in three conflict-affected prefectures-Ouaka, Haute-Kotto, and Vakaga-between 2016 and 2020, assessing both immediate and longer-term disruptions.

methodsDisruptions at primary and referral facilities were evaluated using program data from International Medical Corps (IMC) and attack data from IMC, key informants, secondary datasets, and local media. Key indicators-outpatient consultations, first antenatal care visits (ANC1), facility deliveries, measles vaccination (MCV1), and hospitalizations-were analyzed using visual trend analysis, estimation of immediate change, and interrupted time series (ITS). Survival analysis assessed the association between attacks and time to the first reported measles case during a nationwide outbreak.

resultsA total of 127 individual attacks were identified over five years, primarily from IMC security reports. The most common incidents were asset removal or attempted removal (27%), threat (18%), and pillage (17%). At least one form of physical or sexual violence was documented in 23.2% of attacks, with 13 instances of murder. Visual analysis showed three impact patterns: facility closure, disruption of specific services, and minimal or short-term changes. Immediate changes also varied, with service changes ranging from - 100 to 655%. In ITS analysis four of eight facilities showed > 25% deficit in outpatient consultations while three showed > 25% surplus. Survival analysis demonstrated significant difference in time to first measles case between attacked and facilities without attacks (p < 0.001), though findings are limited by small sample size. Overall, maternal health services had fewer fluctuations while vaccination services ceased altogether in some facilities.

conclusionsThis study shows improved identification and profiling of attacks is possible in low-resource settings and presents several approaches to quantify their impact. It also highlights challenges conducting analysis with significant limitations in data quality and availability. Findings reinforce the urgent need for systematic data collection, real-time monitoring, tailored, context-specific mitigation strategies, and support to local actors who maintain services when external support is limited. Future research should build on these findings to provide more effective protection, mitigation, and recovery strategies for healthcare systems in conflict zones.

Indexed as

Armed conflictsAttacks on healthcareCentral African RepublicHealthcare systemObservational studies

Identifiers

PMID40764942
PMCPMC12323227

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.