Evidence map›Paper›PMID 32612910›Full record

ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2020

Telephonic description of sepsis among callers to an emergency dispatch centre in South Africa.

Willem Stassen, Eric Larsson, Courtney Wood, Lisa Kurland

Open access · goldAbstract read
In one paragraph

Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. A classification model for the telephonic triage of low acuity abdominal complaints in South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  2. Multi-method approach to the development of contextual telephone triage systems.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  3. Article
  4. The variables predictive of ambulance non-conveyance of patients in the Western Cape, South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2023
    Article
  5. Article
  6. Article
  7. 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

4 authors at 3 institutions in 2 countries.

Willem StassenDepartment of Emergency Medical Care, University of Johannesburg, South Africa.
Eric LarssonSchool of Medical Sciences, Ӧrebro University, Sweden.
Courtney WoodDepartment of Emergency Medical Care, University of Johannesburg, South Africa.
Lisa KurlandSchool of Medical Sciences, Ӧrebro University, Sweden.
Örebro University · SEUniversity of Cape Town · ZAUniversity of Johannesburg · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSepsis is an acute, life-threatening condition caused by a dysregulated systemic response to infection. Early medical intervention such as antibiotics and fluid resuscitation can be life-saving. Diagnosis or suspicion of sepsis by an emergency call-taker could potentially improve patient outcome. Therefore, the aim was to determine the keywords used by callers to describe septic patients in South Africa when calling a national private emergency dispatch centre.

methodsA retrospective review of prehospital patient records was completed to identify patients with sepsis in the prehospital environment. A mixed-methods design was employed in two-sequential phases. The first phase was qualitative. Thirty cases of sepsis were randomly selected, and the original call recording was extracted. These recordings were transcribed verbatim and subjected to content analysis to determine keywords of signs and symptoms telephonically. Once keywords were identified, an additional sample of sepsis cases that met inclusion and exclusion criteria were extracted and listened to. The frequency of each of the keywords was quantified.

resultsEleven distinct categories were identified. The most prevalent categories that were used to describe sepsis telephonically were: gastrointestinal symptoms (40%), acute altered mental status (35%), weakness of the legs (33%) and malaise (31%). At least one of these four categories of keywords appeared in 86% of all call recordings.

conclusionIt was found that certain categories appeared in higher frequencies than others so that a pattern could be recognised. Utilising these categories, telephonic recognition algorithms for sepsis could be developed to aid in predicting sepsis over the phone. This would allow for dispatching of the correct level of care immediately and could subsequently have positive effects on patient outcome.

Indexed as

Emergency medical dispatchEmergency medical servicesSepsis

Identifiers

PMID32612910
PMCPMC7320201
OpenAlexW3005298443

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.