Adult and Child Center for Health Outcomes Research and Delivery Science, Department of Family Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Department of Family Medicine, Sanford Institute for Empathy and Compassion, University of California San Diego, La Jolla, CA, USA.
Qual Health Res. 2022 Jul;32(8-9):1246-1258. doi: 10.1177/10497323221090831. Epub 2022 May 26.
The quality of healthcare communication can impact both experiences and outcomes. We highlight aspects of communication that can be systematically examined using Conversation Analysis (CA) and provide guidance about how researchers can incorporate CA into healthcare studies. CA is a qualitative method for studying naturally occurring communication by analyzing recurrent, systematic practices of verbal and nonverbal behavior. CA involves examining audio- or video-recorded conversations and their transcriptions to identify practices speakers use to communicate and interpret behavior. We explain what distinguishes CA from other methods that study communication and highlight three accessible CA approaches that researchers can use in their research design, analysis, or implementation of communication interventions. Specifically, these approaches focus on talk is produced (specific words, framing, and syntax), by , and it occurs in the conversation. These approaches can be leveraged to generate hypotheses and to identify patterns of behavior that inform empirically driven communication interventions.
医疗保健沟通的质量会影响体验和结果。我们强调了可以使用会话分析（CA）系统地检查的沟通方面，并就研究人员如何将 CA 纳入医疗保健研究提供了指导。CA 是一种通过分析言语和非言语行为的反复出现的、系统的实践来研究自然发生的沟通的定性方法。CA 包括检查音频或视频记录的对话及其转录本，以识别说话者用来沟通和解释行为的实践。我们解释了 CA 与其他研究沟通的方法的区别，并强调了研究人员在研究设计、分析或实施沟通干预时可以使用的三种易于使用的 CA 方法。具体来说，这些方法侧重于 话语是如何产生的（特定的词语、框架和语法）、 由谁产生的、以及 它在对话中是如何产生的。这些方法可以用来生成假设，并识别行为模式，为基于经验的沟通干预提供信息。
