Evidence map›Paper›PMID 40896712›Full record

ArticleThe British and Irish orthoptic journal2025

Exploring the Impact of Small Group Teaching and Case-Based Learning on Optometry Students' Binocular Vision Clinical Knowledge.

Sirawit Ketchan, Ketan Parmar, Catherine Porter

Abstract read
In one paragraph

Article in The British and Irish orthoptic journal, 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

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

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

3 authors.

Sirawit KetchanThe University of Manchester, UK.ORCID https://orcid.org/0009-0003-4363-533X
Ketan ParmarThe University of Manchester, UK.ORCID https://orcid.org/0000-0003-3001-3462
Catherine PorterThe University of Manchester, UK.ORCID https://orcid.org/0000-0002-2450-2019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Small group teaching is widely used in healthcare education. Few studies have specifically focused on small group teaching in optometry. This study investigated the effects of small group clinical teaching combined with case-based learning (CBL) on final-year optometry students' knowledge in the assessment, diagnosis and management of accommodation and convergence anomalies. Methods: Students took part in a tutorial session involving the assessment of accommodation and convergence. A total of 89 final-year optometry students were randomly divided into two groups (control and intervention) prior to attending a binocular vision tutorial. Before undergoing the tutorial, the control group completed 20 multiple-choice questions (sets A and B), whilst the intervention group answered 10 questions (set A) before and the remaining 10 questions (set B) after the tutorial. Non-parametric statistics were employed to investigate the differences in Set A and B scores within and between the groups. Results: There was no significant difference in set A scores between the control (48.18%, ±17.16) and intervention (43.81%, ±13.43) groups (p = 0.27). The intervention group had significantly higher set B scores (60.71%, ±17.02) than the control group (50.68%, ±17.84) (p = 0.01). Conclusion: Small group teaching combined with CBL significantly enhances optometry students' knowledge of the diagnosis and management of accommodation and convergence anomalies. This teaching and evaluation methodology has the potential to be applied across all healthcare disciplines.

Indexed as

binocular visioncase-based learningoptometric educationsmall group teaching

Identifiers

PMID40896712
PMCPMC12396193

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.