A blended learning course on the diagnostics of mental disorders

\(\bf Background:\) Clinical diagnoses determine if and how therapists treat their patients. As misdiagnoses can have severe adverse effects, disseminating evidence-based diagnostic skills into clinical practice is highly important. \(\bf Objective:\) This study aimed to develop and evaluate a blended learning course in a multicenter cluster randomized controlled trial. \(\bf Methods:\) Undergraduate psychology students (N=350) enrolled in 18 university courses at 3 universities. The courses were randomly assigned to blended learning or traditional synchronous teaching. The primary outcome was the participants’ performances in a clinical diagnostic interview after the courses. The secondary outcomes were diagnostic knowledge and participants’ reactions to the courses. All outcomes were analyzed on the individual participant level using noninferiority testing. \(\bf Results:\) Compared with the synchronous course (74.6% pass rate), participation in the blended learning course (89% pass rate) increased the likelihood of successfully passing the behavioral test (odds ratio 2.77, 95% CI 1.55-5.13), indicating not only noninferiority but superiority of the blended learning course. Furthermore, superiority of the blended learning over the synchronous course could be found regarding diagnostic knowledge (\(\beta\) =.13, 95% CI 0.01-0.26), course clarity (\(\beta\)=.40, 95% CI 0.27-0.53), course structure (\(\beta\)=.18, 95% CI 0.04-0.32), and informativeness (\(\beta\)=.19, 95% CI 0.06-0.32). \(\bf Conclusions:\) Blended learning can help to improve the diagnostic skills and knowledge of (future) clinicians and thus make an important contribution to improving mental health care.

Publication Details

Journal
Dokumentenrepositorium der RUB (Ruhr University Bochum)
Published
2024-11-27
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A blended learning course on the diagnostics of mental disorders

Dokumentenrepositorium der RUB (Ruhr University Bochum)
Clinical Reasoning and Diagnostic Skills
article

A blended learning course on the diagnostics of mental disorders

article en

Abstract

\(\bf Background:\) Clinical diagnoses determine if and how therapists treat their patients. As misdiagnoses can have severe adverse effects, disseminating evidence-based diagnostic skills into clinical practice is highly important. \(\bf Objective:\) This study aimed to develop and evaluate a blended learning course in a multicenter cluster randomized controlled trial. \(\bf Methods:\) Undergraduate psychology students (N=350) enrolled in 18 university courses at 3 universities. The courses were randomly assigned to blended learning or traditional synchronous teaching. The primary outcome was the participants’ performances in a clinical diagnostic interview after the courses. The secondary outcomes were diagnostic knowledge and participants’ reactions to the courses. All outcomes were analyzed on the individual participant level using noninferiority testing. \(\bf Results:\) Compared with the synchronous course (74.6% pass rate), participation in the blended learning course (89% pass rate) increased the likelihood of successfully passing the behavioral test (odds ratio 2.77, 95% CI 1.55-5.13), indicating not only noninferiority but superiority of the blended learning course. Furthermore, superiority of the blended learning over the synchronous course could be found regarding diagnostic knowledge (\(\beta\) =.13, 95% CI 0.01-0.26), course clarity (\(\beta\)=.40, 95% CI 0.27-0.53), course structure (\(\beta\)=.18, 95% CI 0.04-0.32), and informativeness (\(\beta\)=.19, 95% CI 0.06-0.32). \(\bf Conclusions:\) Blended learning can help to improve the diagnostic skills and knowledge of (future) clinicians and thus make an important contribution to improving mental health care.

Dokumentenrepositorium der RUB (Ruhr University Bochum)
Bundesministerium für Bildung und Forschung
Quality Education
Openalex Percentile: Top 42%
Clinical Reasoning and Diagnostic Skills
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.