Evidence map›Paper›PMID 30835777›Full record

ArticlePloS one2019

Delays in arrival and treatment in emergency departments: Women, children and non-trauma consultations the most at risk in humanitarian settings.

Isabel Beltrán Guzmán, Julita Gil Cuesta, Miguel Trelles, Omar Jaweed, Sophia Cherestal, Joris Adriaan Frank van Loenhout, Debarati Guha-Sapir

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
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  11. Public health action · 2023
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  19. When Land Is Under Pressure Health Is Under Stress.International journal of environmental research and public health · 2020
    Review
  20. Disasters, children and the kidneys.Pediatric nephrology (Berlin, Germany) · 2020
    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

7 authors.

Isabel Beltrán GuzmánCentre for Research on the Epidemiology of Disasters, Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium.ORCID 0000-0003-2620-0396
Julita Gil CuestaOperational Centre Brussels, Médecins Sans Frontières, Brussels, Belgium.
Miguel TrellesOperational Centre Brussels, Médecins Sans Frontières, Brussels, Belgium.
Omar JaweedMission Afghanistan, Médecins Sans Frontières, Kunduz, Afghanistan.
Sophia CherestalMission Haiti, Operational Centre Brussels, Médecins Sans Frontières, Port-au-Prince, Haiti.
Joris Adriaan Frank van LoenhoutCentre for Research on the Epidemiology of Disasters, Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium.ORCID 0000-0001-7810-7738
Debarati Guha-SapirCentre for Research on the Epidemiology of Disasters, Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDelays in arrival and treatment at health facilities lead to negative health outcomes. Individual and external factors could be associated with these delays. This study aimed to assess common factors associated with arrival and treatment delays in the emergency departments (ED) of three hospitals in humanitarian settings. METHODOLOGY: This was a cross-sectional study based on routine data collected from three MSF-supported hospitals in Afghanistan, Haiti and Sierra Leone. We calculated the proportion of consultations with delay in arrival (>24 hours) and in treatment (based on target time according to triage categories). We used a multinomial logistic regression model (MLR) to analyse the association between age, sex, hospital and diagnosis (trauma and non-trauma) with these delays.

resultsWe included 95,025 consultations. Males represented 65.2%, Delay in arrival was present in 27.8% of cases and delay in treatment in 27.2%. The MLR showed higher risk of delay in arrival for females (OR 1.2, 95% CI 1.2-1.3), children <5 (OR 1.4, 95% CI 1.4-1.5), patients attending to Gondama (OR 30.0, 95% CI 25.6-35.3) and non-trauma cases (OR 4.7, 95% CI 4.4-4.8). A higher risk of delay in treatment was observed for females (OR 1.1, 95% CI 1.0-1.1), children <5 (OR 2.0, 95% CI 1.9-2.1), patients attending to Martissant (OR 14.6, 95% CI 13.9-15.4) and non-trauma cases (OR 1.6, 95% CI 1.5-1.7).

conclusionsWomen, children <5 and non-trauma cases suffered most from delays. These delays could relate to educational and cultural barriers, and severity perception of the disease. Treatment delay could be due to insufficient resources with consequent overcrowding, and severity perception from medical staff for non-trauma patients. Extended community outreach, health promotion and support to community health workers could improve emergency care in humanitarian settings.

Indexed as

Emergency Service, HospitalEmergency TreatmentTime-to-TreatmentAdolescentAdultAfghanistanAgedAltruismChildChild, PreschoolCross-Sectional StudiesFemaleHaitiHospitalsHumansInfant

Identifiers

PMID30835777
PMCPMC6400395

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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.