Evidence map›Paper›PMID 40621433›Full record

ArticleFrontiers in health services2025

Error disclosure: what residents say and what patients find effective.

Emily Grossniklaus, Angelo D'Addario, Ann King, Thomas H Gallagher, Kathleen Mazor, Andrew A White

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emily Grossniklaus *Department of Medicine, VA Puget Sound Healthcare System and University of Washington School of Medicine, Seattle, WA, United States.
Angelo D'Addario *Office of Research Strategy, National Board of Medical Examiners, Philadelphia, PA, United States.
Ann KingOffice of Research Strategy, National Board of Medical Examiners, Philadelphia, PA, United States.
Thomas H GallagherDepartment of Medicine and Department of Bioethics, University of Washington School of Medicine, Seattle, WA, United States.
Kathleen MazorDepartment of Medicine, UMass Chan Medical School, Worcester, MA, United States.
Andrew A WhiteDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medical error disclosure to patients is a critical skill that is often not taught effectively in medical training. The Video-based Communication Assessment (VCA) software enables trainees to receive feedback on their error disclosure communication skills. The VCA method also allows examination of the specific types of error disclosure responses that patients value most. Objective: The primary aim of this study was to describe the language medical residents use to disclose a hypothetical harmful medical error, and to determine the language associated with higher ratings by crowdsourced laypeople. A secondary aim of this study was to examine the alignment between error disclosure content recommended by experts and the communication behaviors that contribute to higher layperson ratings of disclosure. Methods: 102 resident physician responses to a case depicting a delayed diagnosis of breast cancer and their crowdsourced ratings were analyzed using thematic content analysis. We assessed the presence of specific themes in response to three sequential video prompts within a clinical case. Linear regressions were then performed for each prompt's response to examine the extent to which each theme predicted overall communication scores from layperson raters. Results: Nearly all ( Conclusion: Resident physicians vary in which communication elements and themes they include during error disclosure, missing opportunities to meet patient expectations. While infrequent, some residents employed minimization or rationalization in their responses. Utilizing an assessment and feedback system that encourages responders to include themes layperson raters value most and to omit harmful expressions could be an important feature for future software for error disclosure communication training.

Indexed as

communication skills assessmentcommunication trainingcrowdsourcingerror disclosuregraduate medical education

Identifiers

PMID40621433
PMCPMC12226483

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.