Evidence map›Paper›PMID 41345871›Full record

ArticleBMC medical education2025

Structured simulation-based training with frugal ophthalmic instruments rapidly equips non-ophthalmologists to identify malarial retinopathy in simulation eyes: an audit of a training course.

Kyle J Wilson, Obaid Kousha, Harold Nkume, Alice M Liomba, Nicholas A V Beare, Andrew Blaikie

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Kyle J WilsonDepartment of Eye and Vision Science, University of Liverpool, Liverpool, UK. kyle.wilson@liverpool.ac.uk.
Obaid KoushaInfection and Global Health Division, School of Medicine, University of St. Andrew's, St Andrew's, UK.
Harold NkumeDepartment of Ophthalmology, Queen Elizabeth Central Hospital, Blantyre, Malawi.
Alice M LiombaBlantyre Malaria Project, Queen Elizabeth Central Hospital, Blantyre, Malawi.
Nicholas A V BeareDepartment of Eye and Vision Science, University of Liverpool, Liverpool, UK.
Andrew BlaikieInfection and Global Health Division, School of Medicine, University of St. Andrew's, St Andrew's, UK.

Funding

Wellcome 219633/Z/19/ZWellcome Trust
6 · The paper itself

Abstract

backgroundMalaria, particularly cerebral malaria, poses a significant health threat, especially for children in sub-Saharan Africa. Identification of malarial retinopathy (MR) has diagnostic value in cerebral malaria but can be impractical due to lack of availability of trained and equipped ophthalmic specialists. Recent developments in low-cost simulation tools and ophthalmoscopes offer the potential to train non-ophthalmologists to offer fundus assessments in low-resource settings.

methodsTwenty non-ophthalmologist healthcare providers in Malawi attended a training program focused on identification of MR using direct and binocular indirect ophthalmoscopy. The curriculum included didactic sessions, hands-on practice with simulation eyes, and assessment of skill acquisition with immediate feedback. Pre- and post-training confidence surveys were conducted.

resultsParticipants demonstrated significant improvement in identification of malarial retinopathy in simulation eyes after completing the training, with a mean accuracy of 83%. Clinician confidence levels increased across all domains of retinal examination covered in the course.

conclusionsStructured simulation-based training using frugal ophthalmoscopes can equip non-ophthalmologists with skills to identify MR in simulation eyes. Future work should focus on long-term skill retention and validation in a real-world clinical setting.

Indexed as

Health PersonnelMalariaMalaria, CerebralOphthalmoscopesRetinal DiseasesSimulation TrainingClinical CompetenceHumansMalawiOphthalmoscopyLow-costMalariaOphthalmologyResource-limitedSimulation

Identifiers

PMID41345871
PMCPMC12781296

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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.