Evidence map›Paper›PMID 34389012›Full record

ArticleBMC medical education2021

Flexible e-learning video approach to improve fundus examination skills for medical students: a mixed-methods study.

Kiyoshi Shikino, Claudia A Rosu, Daiki Yokokawa, Shingo Suzuki, Yusuke Hirota, Katsumi Nishiya, Masatomi Ikusaka

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 36 citations in OpenAlex.

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  5. The Use Of Fundus Photography In The Emergency Room-A Review.Current neurology and neuroscience reports · 2025
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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

7 authors at 5 institutions in 2 countries.

Kiyoshi ShikinoDepartment of General Medicine, Chiba University Hospital, Chiba, Japan. kshikino@gmail.com.
Claudia A RosuHealth Professions Education Program, MGH Institute of Health Professions, Boston, MA, USA.
Daiki YokokawaDepartment of General Medicine, Chiba University Hospital, Chiba, Japan.
Shingo SuzukiDepartment of General Medicine, Chiba University Hospital, Chiba, Japan.
Yusuke HirotaDepartment of General Medicine, Chiba University Hospital, Chiba, Japan.
Katsumi NishiyaCenter for Medical Education, Kansai Medical University, Hirakata, Japan.
Masatomi IkusakaDepartment of General Medicine, Chiba University Hospital, Chiba, Japan.
Chiba University Hospital · JPKansai Medical University · JPMGH Institute of Health Professions · USTeikyo University Chiba Medical Center · JPTokyo Medical University Hachioji Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraining for the fundus examination using traditional teaching is challenging, resulting in low generalist physicians' confidence in performing the funduscopic examination. There is growing evidence suggesting a flexible e-learning video approach's value in teaching physical examination procedures. However, whether the flexible e-learning video approach is superior to the traditional, face-to-face (F2F) lecture-based teaching for the funduscopic exam and the cognitive processes supporting its effectiveness has not yet been determined.

methodsWe conducted a sequential explanatory mixed-method study to compare the flexible e-learning video approach's effectiveness versus the F2F lecture-based approach for teaching the funduscopic exam to medical students at Chiba University in Japan. Medical students were randomly assigned to either a flexible e-learning video approach group or a F2F lecture approach group. We then quantitatively measured the diagnostic accuracy of funduscopic findings before and after attending the specific classrooms. Next, we conducted student focus groups to explore the students' thinking processes in the flexible e-learning video approach vs. the F2F lecture-based teaching of fundus examination. The qualitative data were analyzed using the qualitative content analysis method.

resultsThe mean diagnostic accuracy scores in the post-test significantly increased from pre-test in the intervention group (36.6 to 63.4%, p < 0.001). Post-post comparisons across the two groups revealed a significant difference (intervention group 63.4% vs. control group 34.6%, p < 0.001). Six semi-structured focused group interviews were conducted (n = 36). In the flexible e-learning video approach group, we identified ten categories corresponding to four levels of the revised Bloom's taxonomy: remember, understand, apply, analyze. Five categories were identified in the traditional F2F lecture approach group corresponding to three revised Bloom's taxonomy levels: understand, apply, analyze. Interrater reliability was substantial (Cohen's kappa = 0.81).

conclusionsTeaching medical students funduscopic examination using the flexible e-learning video approach leads to improved diagnostic accuracy of funduscopic examinations. The flexible e-learning video teaching method enabled higher cognitive activity levels than the traditional, lecture-based classroom, as assessed using the revised Bloom's taxonomy.

trial registrationThis study was registered with the University Hospital Medical Information Network Clinical Trials Registry on 08/02/2020 (Unique trial number: UMIN 000039434 ).

Indexed as

Computer-Assisted InstructionStudents, MedicalEducational MeasurementHumansLearningReproducibility of ResultsTeachingBloom’s taxonomyE-learning videoFlexibilityFunduscopicOphthalmoscopicPhysical examination

Identifiers

PMID34389012
PMCPMC8364022
OpenAlexW3188146186

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.