医患互动中信任与不信任的定性分析。
A qualitative analysis of trust and distrust within patient-clinician interactions.
作者信息
Adekunle Temi A, Knowles Joy M, Hantzmon Sarah V, DasGupta Maya N, Pollak Kathryn I, Gaither Sarah E
机构信息
Department of Psychology and Neuroscience, Duke University Trinity College of Arts and Sciences, Durham, NC, USA.
Cancer Prevention and Control, Duke Cancer Institute, Durham, NC, USA.
出版信息
PEC Innov. 2023 Jun 30;3:100187. doi: 10.1016/j.pecinn.2023.100187. eCollection 2023 Dec 15.
OBJECTIVES
Trust represents a key quality of strong clinician-patient relationships. Many have attempted to assess patient-reported trust. However, most trust measures suffer from ceiling effects, with no variability, making it not possible to examine predictors of trust and distrust. Rather than rely on patient reports, we created a codebook for instances of trust and distrust from actual patient-clinician encounters.
METHODS
Three coders conducted a qualitative analysis of audio recordings among patient-cardiologist outpatient encounters.
RESULTS
We identified trust and distrust based on vocal and verbal cues in the interactions. We found consistent patterns that indicated patient trust and distrust.
CONCLUSION
Overall, this work empirically validates a new more accurate measurement of trust for patient-doctor interactions.
INNOVATION
We are the first to use audio recordings to identify verbal markers of trust and distrust in patient-clinician interactions. From this work, others can code trust and distrust in recorded encounters rather than rely on self-report measures.
目标
信任是稳固医患关系的一项关键品质。许多人尝试评估患者报告的信任情况。然而，大多数信任度量存在天花板效应，缺乏变异性，使得无法考察信任和不信任的预测因素。我们没有依赖患者报告，而是根据实际医患互动中信任和不信任的实例创建了一个编码手册。
方法
三名编码员对心内科门诊患者与医生的互动录音进行了定性分析。
结果
我们根据互动中的语音和言语线索确定了信任和不信任。我们发现了表明患者信任和不信任的一致模式。
结论
总体而言，这项工作通过实证验证了一种用于医患互动的更准确的信任度量方法。
创新点
我们是首个利用录音来识别医患互动中信任和不信任言语标记的。通过这项工作，其他人可以对录音互动中的信任和不信任进行编码，而不是依赖自我报告度量方法。
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