Evidence map›Paper›PMID 42267221›Full record

ArticleHealth SA = SA Gesondheid2026

Perceptions of Emergency Medical Care students on high-fidelity manikins versus standardised patients: Insights from a pilot mixed-methods study.

Karien Henrico, Getrude M Motadi

Abstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Karien HenricoDepartment of Emergency Medical Care, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-6214-1392
Getrude M MotadiDepartment of Emergency Medical Care, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.ORCID https://orcid.org/0009-0009-9204-5989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Simulation-based education is central to Emergency Medical Care (EMC) training, particularly in preparing students for high-pressure, pre-hospital environments. High-fidelity manikins (HFMs) and standardised patients (SPs) are widely used simulation modalities; however, comparative evidence from low- to middle-income countries remains limited. Understanding student satisfaction with these modalities is important for ensuring educational quality and making informed resource allocation. Aim: This study explored EMC students' satisfaction with HFMs and SPs to inform pedagogical and resource-related decisions. Setting: The study was conducted in a university-based simulation laboratory at a South African higher education institution. Methods: A pilot mixed-methods design was employed. Fifteen first-year EMC students completed the same clinical simulation scenario using both a SP and a HFM. Satisfaction was measured using a revised Satisfaction Scale for High-Fidelity Clinical Simulation and two open-ended questions. Quantitative data were analysed descriptively, and qualitative responses were analysed thematically. Results: High levels of satisfaction were reported for both simulation modalities. Standardised patients received higher satisfaction scores for realism, theory-practice integration and self-confidence, while HFMs were rated more favourably for practising technical skills and learning from mistakes. Qualitative findings indicated that SPs enhanced realism and engagement but were associated with increased stress. Conclusion: Despite the small cohort, clear preferences and educational implications emerged. The findings support the use of blended simulation approaches and highlight the need for further, larger-scale research. Contribution: This study provides preliminary evidence to inform simulation-based curriculum design and resource allocation in EMC education within resource-constrained contexts.

Indexed as

high-fidelity manikinsimulation-based educationSouth Africastandardised patientstudent satisfaction

Identifiers

PMID42267221
PMCPMC13243787

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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.