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

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

PMC · DOI: 10.3389/frhs.2025.1577092 · Frontiers in Health Services · 2025-06-20

## TL;DR

This study examines how medical residents disclose medical errors and what patients find most effective in these communications.

## Contribution

The study identifies specific communication elements that correlate with higher patient ratings during error disclosure.

## Key findings

- Most residents included apologies or empathy, but fewer acknowledged delays or future prevention plans.
- Expressions of accountability and regret were most strongly linked to higher patient ratings.
- Minimization or rationalization in responses were rare but associated with lower ratings.

## Abstract

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.

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.

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.

Nearly all (N = 92, 90.2%) residents provided responses which included either a general apology or a specific apology in at least one of the three prompt's responses, and nearly all (N = 98, 96.1%) residents provided at least one response expressing a component of empathy. However, only 57.8% of residents openly acknowledged that the care was delayed, and 67.8% expressed a plan to prevent future errors. A few residents used rationalization (5.9%) or minimization (4.9%) behaviors; responses with these behaviors were associated with negative beta-coefficients, although this finding did not reach statistical significance. In a linear regression analysis, the strongest positive associations between resident responses and patient ratings were clustered around expressions of accountability (0.48), personal regret (0.47), apology (0.34), and intentions to prevent future mistakes (0.34).

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.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Diseases:** breast cancer (MESH:D001943), Medical (MESH:D000069279)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12226483/full.md

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12226483/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12226483/full.md

---
Source: https://tomesphere.com/paper/PMC12226483