Grossniklaus Emily, D'Addario Angelo, King Ann, Gallagher Thomas H, Mazor Kathleen, White Andrew A
Department of Medicine, VA Puget Sound Healthcare System and University of Washington School of Medicine, Seattle, WA, United States.
Office of Research Strategy, National Board of Medical Examiners, Philadelphia, PA, United States.
Front Health Serv. 2025 Jun 20;5:1577092. doi: 10.3389/frhs.2025.1577092. eCollection 2025.
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 ( = 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 ( = 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.
向患者披露医疗差错是一项关键技能,但在医学培训中往往没有得到有效传授。基于视频的沟通评估(VCA)软件能让实习生获得关于其差错披露沟通技巧的反馈。VCA方法还能考察患者最看重的差错披露回应的具体类型。
本研究的主要目的是描述住院医师用于披露假设的有害医疗差错的语言,并确定与众包外行人给出更高评分相关的语言。本研究的次要目的是考察专家推荐的差错披露内容与有助于外行人对披露给出更高评分的沟通行为之间的一致性。
采用主题内容分析法,分析了102名住院医师对一个描述乳腺癌延迟诊断病例的回应及其众包评分。我们评估了在一个临床病例中针对三个连续视频提示的回应中特定主题的存在情况。然后对每个提示的回应进行线性回归,以考察每个主题在多大程度上预测外行人评分者的总体沟通得分。
几乎所有(n = 92,90.2%)住院医师的回应在三个提示回应中的至少一个中包含了一般性道歉或特定道歉,并且几乎所有(n = 98,96.1%)住院医师的回应至少有一次表达了共情的成分。然而,只有57.8%的住院医师公开承认护理被延迟,67.8%的住院医师表示有预防未来差错的计划。少数住院医师采用了合理化(5.9%)或淡化(4.9%)行为;有这些行为的回应与负β系数相关,尽管这一发现未达到统计学显著性。在一项线性回归分析中,住院医师回应与患者评分之间最强的正相关集中在问责表达(0.48)、个人遗憾(0.47)、道歉(0.34)以及预防未来错误的意图(0.34)周围。
住院医师在差错披露过程中所包含的沟通要素和主题各不相同,错失了满足患者期望的机会。虽然很少见,但一些住院医师在回应中采用了淡化或合理化方式。利用一个评估和反馈系统,鼓励回应者纳入外行人评分者最看重的主题并省略有害表达,可能是未来差错披露沟通培训软件的一个重要特征。