Evidence map›Paper›PMID 35486423›Full record

ArticleJMIR medical education2022

Video-Based Communication Assessment of Physician Error Disclosure Skills by Crowdsourced Laypeople and Patient Advocates Who Experienced Medical Harm: Reliability Assessment With Generalizability Theory.

Andrew A White, Ann M King, Angelo E D'Addario, Karen Berg Brigham, Suzanne Dintzis, Emily E Fay, Thomas H Gallagher, Kathleen M Mazor

Abstract read
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Article in JMIR medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

8 authors.

Andrew A WhiteDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-9859-0947
Ann M KingNational Board of Medical Examiners, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-6994-9711
Angelo E D'AddarioNational Board of Medical Examiners, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-7687-3049
Karen Berg BrighamCollaborative for Accountability and Improvement, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-3852-7591
Suzanne DintzisDepartment of Pathology, University of Washington School of Medicine, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-9762-030X
Emily E FayDepartment of Obstetrics and Gynecology, University of Washington School of Medicine, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-5582-2835
Thomas H GallagherDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-8323-1450
Kathleen M MazorMeyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-9491-9872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResidents may benefit from simulated practice with personalized feedback to prepare for high-stakes disclosure conversations with patients after harmful errors and to meet American Council on Graduate Medical Education mandates. Ideally, feedback would come from patients who have experienced communication after medical harm, but medical researchers and leaders have found it difficult to reach this community, which has made this approach impractical at scale. The Video-Based Communication Assessment app is designed to engage crowdsourced laypeople to rate physician communication skills but has not been evaluated for use with medical harm scenarios.

objectiveWe aimed to compare the reliability of 2 assessment groups (crowdsourced laypeople and patient advocates) in rating physician error disclosure communication skills using the Video-Based Communication Assessment app.

methodsInternal medicine residents used the Video-Based Communication Assessment app; the case, which consisted of 3 sequential vignettes, depicted a delayed diagnosis of breast cancer. Panels of patient advocates who have experienced harmful medical error, either personally or through a family member, and crowdsourced laypeople used a 5-point scale to rate the residents' error disclosure communication skills (6 items) based on audiorecorded responses. Ratings were aggregated across items and vignettes to create a numerical communication score for each physician. We used analysis of variance, to compare stringency, and Pearson correlation between patient advocates and laypeople, to identify whether rank order would be preserved between groups. We used generalizability theory to examine the difference in assessment reliability between patient advocates and laypeople.

resultsInternal medicine residents (n=20) used the Video-Based Communication Assessment app. All patient advocates (n=8) and 42 of 59 crowdsourced laypeople who had been recruited provided complete, high-quality ratings. Patient advocates rated communication more stringently than crowdsourced laypeople (patient advocates: mean 3.19, SD 0.55; laypeople: mean 3.55, SD 0.40; P<.001), but patient advocates' and crowdsourced laypeople's ratings of physicians were highly correlated (r=0.82, P<.001). Reliability for 8 raters and 6 vignettes was acceptable (patient advocates: G coefficient 0.82; crowdsourced laypeople: G coefficient 0.65). Decision studies estimated that 12 crowdsourced layperson raters and 9 vignettes would yield an acceptable G coefficient of 0.75.

conclusionsCrowdsourced laypeople may represent a sustainable source of reliable assessments of physician error disclosure skills. For a simulated case involving delayed diagnosis of breast cancer, laypeople correctly identified high and low performers. However, at least 12 raters and 9 vignettes are required to ensure adequate reliability and future studies are warranted. Crowdsourced laypeople rate less stringently than raters who have experienced harm. Future research should examine the value of the Video-Based Communication Assessment app for formative assessment, summative assessment, and just-in-time coaching of error disclosure communication skills.

Indexed as

communicationcommunication assessmentcrowdsourcinggeneralizability theorygraduate medical educationmedical educationmedical errormedical error disclosurepatient-centered caresimulation studies

Identifiers

PMID35486423
PMCPMC9107044

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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.