Evidence map›Paper›PMID 38348097›Full record

ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2024

Emergency care capacity in Sierra Leone: A multicentre analysis.

Zosia Bredow, Zoe Corbett, Moses Mohamed Tarawally, Lucy Jackson, Foday Tejan Mansaray, Santigie Sesay, Andrew Leather

Open access · goldAbstract read
In one paragraph

Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Observational
  2. Assessment of emergency care services in Nigerian hospitals: A cross-sectional study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  3. 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

7 authors at 3 institutions in 2 countries.

Zosia BredowKing's Global Health Partnerships, School of Life Course and Population Sciences, King's College London, London, UK.
Zoe CorbettKing's Global Health Partnerships, School of Life Course and Population Sciences, King's College London, London, UK.
Moses Mohamed TarawallyKing's Global Health Partnerships, School of Life Course and Population Sciences, King's College London, London, UK.
Lucy JacksonKing's Global Health Partnerships, School of Life Course and Population Sciences, King's College London, London, UK.
Foday Tejan MansarayKing's Global Health Partnerships, School of Life Course and Population Sciences, King's College London, London, UK.
Santigie SesayMinistry of Health and Sanitation, Freetown, Sierra Leone.
Andrew LeatherKing's Global Health Partnerships, School of Life Course and Population Sciences, King's College London, London, UK.
King's College London · GBMinistry of Health and Sanitation · SLUniversity of Sierra Leone · SL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Disease Control Priorities Project estimates that over 50 % of annual mortality in low- and middle-income countries can be addressed by improved emergency care. Sierra Leone's Ministry of Health and Sanitation has highlighted emergency care as a national priority. We conducted the first multicentre analysis of emergency care capacity in Sierra Leone, using the Hospital Emergency Unit Assessment Tool (HEAT) to analyse 14 government hospitals across the country. Methods: HEAT is a standardised assessment that is recommended in the World Health Organisation Emergency Care Toolkit. It has been used comparably elsewhere. To analyse Sierra Leone's emergency care capacity with the HEAT data, we created the HEAT-adjusted Emergency Care Capacity Score. Purposeful sampling was used to select 14 government facilities nationwide. A multidisciplinary team was interviewed over a 2-day in-person visit to each facility. Results: Human Resources was the strongest parameter, scoring 49 %. All hospitals provided emergency cover 24/7. Emergency Diagnostic Services was the most severely limited parameter, scoring 29 %. 3 hospitals had no access to basic radiography. Infrastructure scored 47 %. 2 hospitals had adequate electricity supply; 5 had adequate clean, running water. No hospitals had adequate oxygen supply. Clinical services scored 39 %. 10 hospitals had no designated Emergency Unit, only 2 triaged to stratify severity. Signal functions scored 38 %. No hospitals had reliable access to emergency drugs such as adrenaline. The total HEAT-adjusted Emergency Care Capacity Score across all hospitals was 40 %. Conclusions: These data identify gaps that have already led to local interventions, including focussing emergency resources to a resuscitation area, and training multidisciplinary teams in emergency care skills. This facility-level analysis could feed into wider assessment of Sierra Leone's emergency care systems at every level, which may help prioritise government strategy to target sustainable strengthening of national emergency care.

Indexed as

Emergency care systemsFacility assessmentService deliveryToolkit

Identifiers

PMID38348097
PMCPMC10859259
OpenAlexW4391566201

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.