Evidence map›Paper›PMID 34797094›Full record

ArticleSouth African family practice : official journal of the South African Academy of Family Practice/Primary Care2021

A descriptive study of demographics, triage allocations and patient outcomes at a private emergency centre in Pretoria.

Kirsty Hedding, Enrico Dippenaar, Lee Wallis

Abstract read
In one paragraph

Article in South African family practice : official journal of the South African Academy of Family Practice/Primary Care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Boarding times of patients admitted to the Emergency Department of an Ethiopian hospital.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  2. 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

3 authors.

Kirsty HeddingDivision of Emergency Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town. kirst3638@gmail.com.
Enrico Dippenaar
Lee Wallis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriage aims to detect critically ill patients and to prioritise those with time-sensitive needs, whilst contributing to the efficiency of an emergency centre (EC). International systems have been relatively well researched; however, little data exists on the use of the South African Triage Scale (SATS) in private healthcare settings in South Africa (SA).

methodsA retrospective descriptive study was undertaken. Data relating to demographics, application of triage, time in EC and disposition were collected on all patients presenting to the EC from 1st January to 31st December 2018.

resultsA total of 29 055 patients' data were included. The mean age was 41 years. Most patients were triaged yellow (73.5%); 17.4% were triaged as red and orange. Patients were seen by a doctor in a mean time of 28 min. Delays to be seen exceeded standards for red and orange patients at 8 min and 18 min, respectively. Most patients (76.1%) were discharged; 5.6% were admitted to intensive care unit (ICU)/high care, and 14.4% to general wards. Of patients triaged red and orange, 11.1% and 49.3% were discharged, respectively, whereas 81.7% of yellow patients were discharged home.

conclusionThis study found that most patients were triaged into low acuity categories and were discharged home. High acuity patients were usually admitted to ICU/high care; however, these patients experienced delays in receiving treatment. The causes of these issues, and the implications, remain unknown. Large numbers of high acuity patients were discharged home. Further studies are needed to understand the influence of triage accuracy on these patients' outcomes.

Indexed as

Emergency Service, HospitalTriageAdultDemographyHumansRetrospective StudiesSouth Africacritically ill patientsemergency medicineICUprivate healthcaretriage

Identifiers

PMID34797094
PMCPMC8603161

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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.