Evidence map›Paper›PMID 41567738›Full record

ArticlePEC innovation2026

Measuring empathy in OSCEs: A comparison of student, standardized patient, and observer rating tools.

A Hepner, B Cerutti, R Lüchinger, N Junod Perron

Abstract read
In one paragraph

Article in PEC innovation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

A HepnerGeneva Faculty of Medicine, Geneva, Switzerland.
B CeruttiUnit of Development and Research in Medical Education, Geneva Faculty of Medicine, Geneva, Switzerland.
R LüchingerUnit of Development and Research in Medical Education, Geneva Faculty of Medicine, Geneva, Switzerland.
N Junod PerronUnit of Development and Research in Medical Education, Geneva Faculty of Medicine, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: During objective structured clinical examinations (OSCEs), perceived empathy can be rated by medical students, simulated patients (SPs) or external observers. This study aimed to examine how different ratings of medical students' perceived empathy correlate with each other, as well as with measures of behavioral empathy using a standardized coding system. Methods: Voluntary medical students who participated to a formative OSCE self-rated their empathy using a global empathy score. SPs and an external observer rated students' perceived empathy using the Jefferson Scale of Patient's Perceptions of Physician Empathy (JSPPPE-Patient; JSPPE-Observer) and global scores. The Verona Coding System (VR-CoDES) captured patients' emotions and students' responses (verbal empathy). Non-verbal behavior and five sub-behaviors were assessed via an ordinal scale (1-5). Associations were calculated using correlation analyses. Results: 56 medical students participated. There was no significant association between students' self-perceived empathy and other measures of perceived empathy. Global SPs' and observer's measures of perceived empathy as well as JSPPPE scales correlated with verbal empathy (VR-CoDES) (global ρ =0.27 Conclusion: SPs and observers' ratings of perceived empathy using global scores as well as measurement of non-verbal behavior are valid ways to assess medical students' behavioral empathy. Innovation: Standardized coding systems are useful to assess which measures of medical students' perceived empathy used in OSCEs best correlate with behavioral empathy.

Indexed as

Behavioral empathyCorrelationObserverOSCEPerceptionsSimulated patientStudent

Identifiers

PMID41567738
PMCPMC12816892

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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.