Plamondon Katrina M, Bottorff Joan L, Cole Donald C
The University of British Columbia, Kelowna, British Columbia, Canada
The University of British Columbia, Kelowna, British Columbia, Canada Faculty of Health Sciences, Australian Catholic University, Melbourne, Austalia.
Qual Health Res. 2015 Nov;25(11):1529-39. doi: 10.1177/1049732315581603. Epub 2015 Apr 20.
Deliberative dialogue (DD) is a knowledge translation strategy that can serve to generate rich data and bridge health research with action. An intriguing alternative to other modes of generating data, the purposeful and evidence-informed conversations characteristic of DD generate data inclusive of collective interpretations. These data are thus dialogic, presenting complex challenges for qualitative analysis. In this article, we discuss the nature of data generated through DD, orienting ourselves toward a theoretically grounded approach to analysis. We offer an integrated framework for analysis, balancing analytical strategies of categorizing and connecting with the use of empathetic and suspicious interpretive lenses. In this framework, data generation and analysis occur in concert, alongside engaging participants and synthesizing evidence. An example of application is provided, demonstrating nuances of the framework. We conclude with reflections on the strengths and limitations of the framework, suggesting how it may be relevant in other qualitative health approaches.
审议性对话（DD）是一种知识转化策略，可用于生成丰富的数据，并将健康研究与行动联系起来。作为生成数据的其他模式的一种有趣替代方式，DD所特有的有目的且基于证据的对话会生成包含集体解释的数据。因此，这些数据具有对话性，给定性分析带来了复杂的挑战。在本文中，我们讨论了通过DD生成的数据的性质，使自己朝着一种理论基础扎实的分析方法迈进。我们提供了一个综合分析框架，平衡分类和联系的分析策略，同时运用同理心和怀疑性的解释视角。在这个框架中，数据生成和分析是协同进行的，同时还包括与参与者互动和综合证据。文中给出了一个应用实例，展示了该框架的细微差别。我们最后反思了该框架的优势和局限性，提出了它在其他定性健康方法中可能具有相关性的方式。
