Evidence map›Paper›PMID 34715794›Full record

ArticleBMC emergency medicine2021

Using the South African Triage Scale for prehospital triage: a qualitative study.

Julia Dixon, Taylor Burkholder, Jennifer Pigoga, Michael Lee, Kubendhren Moodley, Shaheem de Vries, Lee Wallis, Nee-Kofi Mould-Millman

Open access · goldAbstract read
In one paragraph

Article in BMC emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Vehicle extrication in road traffic crashes: a descriptive analysis of an advanced medical rescue service in South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025
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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

8 authors at 4 institutions in 2 countries.

Julia DixonSchool of Medicine, Department of Emergency Medicine, University of Colorado Denver, 12631 E 17th Ave, Room 2612, MS C326, Aurora, CO, 80045, USA.
Taylor BurkholderKeck School of Medicine, Department of Emergency Medicine, University of Southern California, California, Los Angeles, USA.
Jennifer PigogaDepartment of Surgery, Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa.
Michael LeeDepartment of Surgery, Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa.
Kubendhren MoodleyDepartment of Health, Emergency Medical Services, Western Cape Government, Cape Town, South Africa.
Shaheem de VriesDepartment of Health, Emergency Medical Services, Western Cape Government, Cape Town, South Africa.
Lee WallisDepartment of Surgery, Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa.
Nee-Kofi Mould-MillmanSchool of Medicine, Department of Emergency Medicine, University of Colorado Denver, 12631 E 17th Ave, Room 2612, MS C326, Aurora, CO, 80045, USA. Nee-Kofi.Mould-Millman@ucdenver.edu.
University of Cape Town · ZAWestern Cape Department of Health · ZAUniversity of Colorado Denver · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriage is a critical component of prehospital emergency care. Effective triage of patients allows them to receive appropriate care and to judiciously use personnel and hospital resources. In many low-resource settings prehospital triage serves an additional role of determining the level of destination facility. In South Africa, the Western Cape Government innovatively implemented the South African Triage Scale (SATS) in the public Emergency Medical Services (EMS) service in 2012. The prehospital provider perspectives and experiences of using SATS in the field have not been previously studied.

methodsIn this qualitative study, focus group discussions with cohorts of basic, intermediate and advanced life support prehospital providers were conducted and transcribed. A content analysis using an inductive approach was used to code transcripts and identify themes.

results15 EMS providers participated in three focus group discussions. Data saturation was reached and four major themes emerged from the qualitative analysis: Implementation and use of SATS; Effectiveness of SATS; Limitations of the discriminator; and Special EMS considerations. Participants overall felt that SATS was easy to use and allowed improved communication with hospital providers during patient handover. Participants, however, described many clinical cases when their clinical gestalt triaged the patient to a different clinical acuity than generated by SATS. Additionally, they stated many clinical discriminators were too subjective to effectively apply or covered too broad a range of clinical severity (e.g., ingestions). Participants provided examples of how the prehospital environment presents additional challenges to using SATS such as changing patient clinical conditions, transport times and social needs of patients.

conclusionsOverall, participants felt that SATS was an effective tool in prehospital emergency care. However, they described many clinical scenarios where SATS was in conflict with their own assessment, the clinical care needs of the patient or the available prehospital and hospital resources. Many of the identified challenges to using SATS in the prehospital environment could be improved with small changes to SATS and provider re-training.

Indexed as

Emergency Medical ServicesTriageFocus GroupsHumansQualitative ResearchSouth AfricaEMSFocus groupsPrehospitalSATS; South African Triage ScaleTriage

Identifiers

PMID34715794
PMCPMC8556887
OpenAlexW3209930100

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.