Evidence map›Paper›PMID 26478615›Full record

SynthesisBulletin of the World Health Organization2015

Emergency care in 59 low- and middle-income countries: a systematic review.

Ziad Obermeyer, Samer Abujaber, Maggie Makar, Samantha Stoll, Stephanie R Kayden, Lee A Wallis, Teri A Reynolds, Acute Care Development Consortium

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Bulletin of the World Health Organization, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 7 pooled it
14.2field-weighted citation impact, top 1% 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

192 citing papers in PubMed, 7 syntheses or guidelines pooled it, 319 citations in OpenAlex.

  1. Pooled it
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  4. Acceptability and uptake of HIV self-testing in emergency care settings: A systematic review and meta-analysis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022
    Pooled it
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  8. Trial
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  10. Emergency triage in coastal Kenya: a survey of public Emergency Departments.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
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  15. Implementing early warning systems for sepsis recognition in African healthcare settings: an Angolan perspective.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
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  19. Patterns of negative trauma laparotomy worldwide: a sub-analysis of a global dataset.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Observational
  20. Article

132 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 2 countries.

Ziad ObermeyerDepartment of Emergency Medicine, Harvard Medical School, 75 Francis Street, Boston, MA 02115, United States of America (USA).
Samer AbujaberBrigham and Women's Hospital, Boston, USA .
Maggie MakarBrigham and Women's Hospital, Boston, USA .
Samantha StollHarvard Affiliated Emergency Medicine Residency Program, Boston, USA .
Stephanie R KaydenBrigham and Women's Hospital, Boston, USA .
Lee A WallisUniversity of Cape Town, Cape Town, South Africa .
Teri A ReynoldsUniversity of California at San Francisco, San Francisco, USA .
Acute Care Development Consortium
Brigham and Women's Hospital · USUniversity of Cape Town · ZA

Funding

Unexpected death after medical encounters: Measurement, reporting, and analysisDP5OD012161 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI OBERMEYER, ZIAD · 2012 to 2016
$1.6M
NIH HHS DP5 OD012161NIH HHS DP5-OD012161
6 · The paper itself

Abstract

objectiveTo conduct a systematic review of emergency care in low- and middle-income countries (LMICs).

methodsWe searched PubMed, CINAHL and World Health Organization (WHO) databases for reports describing facility-based emergency care and obtained unpublished data from a network of clinicians and researchers. We screened articles for inclusion based on their titles and abstracts in English or French. We extracted data on patient outcomes and demographics as well as facility and provider characteristics. Analyses were restricted to reports published from 1990 onwards.

findingsWe identified 195 reports concerning 192 facilities in 59 countries. Most were academically-affiliated hospitals in urban areas. The median mortality within emergency departments was 1.8% (interquartile range, IQR: 0.2-5.1%). Mortality was relatively high in paediatric facilities (median: 4.8%; IQR: 2.3-8.4%) and in sub-Saharan Africa (median: 3.4%; IQR: 0.5-6.3%). The median number of patients was 30 000 per year (IQR: 10 296-60 000), most of whom were young (median age: 35 years; IQR: 6.9-41.0) and male (median: 55.7%; IQR: 50.0-59.2%). Most facilities were staffed either by physicians-in-training or by physicians whose level of training was unspecified. Very few of these providers had specialist training in emergency care.

conclusionAvailable data on emergency care in LMICs indicate high patient loads and mortality, particularly in sub-Saharan Africa, where a substantial proportion of all deaths may occur in emergency departments. The combination of high volume and the urgency of treatment make emergency care an important area of focus for interventions aimed at reducing mortality in these settings.

Indexed as

Hospital MortalityQuality of Health CareAdolescentAdultAfrica South of the SaharaChildChild, PreschoolClinical CompetenceDatabases, FactualDeveloping CountriesEmergency Medical ServicesEmergency MedicineFemaleGlobal HealthHospitalizationHumans

Identifiers

PMID26478615
PMCPMC4581659
OpenAlexW1753298007

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.