使用可视化方法了解医疗团队的专题分析

Faisal Ahmed, Konain Ali, Muskaan Mann, Shannon L. Sibbald
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摘要

在医疗保健领域,团队对于解决当今最严峻的挑战至关重要。然而,狭隘的学科视角限制了我们目前对团队如何在各种医疗环境中发挥作用的了解。研究人员通常依赖传统的调查方法作为主要工具,这可能会妨碍他们收集全面的数据。为了克服这一限制,通过直观地分享故事和叙事,参与者可以使用各种方法来表达他们对团队经历和复杂遭遇的看法。尽管这种方法很有潜力,但在健康科学研究中如何使用这种方法却鲜有经验指导。为了填补这一空白,并为使用可视化方法(尤其是分析团队功能)提供指导,我们联系了世界各地专门从事定性研究方法的研究人员。这些研究人员都曾发表过使用可视化方法的经验。在一年多的时间里,我们与 16 位研究人员进行了三次虚拟异步头脑风暴会议。集思广益会议包括向受访者发放一份带有开放式提示的调查问卷,以了解使用可视化方法的最佳实践。研究人员一致认为,视觉方法可以收集隐含数据、打破研究人员与参与者之间的权力动态关系,并提高研究对代表性不足群体的可及性。他们强调,在解释图画时,应促进与创作者的共同分析,以减少偏见并支持解释。这种视觉方法的使用有助于对复杂现象进行隐性和更细致的描述,并通过更深入地了解和尊重每个成员的需求/经验/观点来改善团队功能。未来的研究应在不同的医疗团队中试用可视化方法,以进一步研究团队动态以及如何利用研究结果优化团队功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thematic Analysis of Using Visual Methods to Understand Healthcare Teams
In healthcare, teams are essential in solving today’s toughest challenges. However, narrow disciplinary perspectives have limited our current understanding of how teams function in various healthcare contexts. Researchers often rely on traditional survey methods as their primary tool, which can prevent them from gathering comprehensive data. To overcome this limitation, sharing stories and narratives visually allows participants to create representations of their perceptions of team experiences and complex encounters using a variety of approaches. Despite the potential of this method, there is little empirical guidance on how to use it in health sciences research. To address this gap and provide guidance on using visual methods, particularly for analysing team function, we contacted researchers worldwide specializing in qualitative research methods. These researchers had published experience using visual methods. Over a year, three virtual, asynchronous brainstorming sessions were conducted with 16 researchers. The brainstorming sessions consisted of respondents receiving a survey with open-ended prompts to gather insight into the best practices for using visual methods. Researchers agreed that visual methods can gather implicit data, break down researcher-participant power dynamics, and improve a study’s accessibility to under-represented groups. It was highlighted, when interpreting drawings, co-analysis with the creator should be facilitated to mitigate biases and support interpretation. This use of visual methods can aid the creation of tacit and more nuanced descriptions of complex phenomena and improve team function through a deeper understanding and respect of each members’ needs/experiences/perspectives. Future studies should pilot visual methods with different healthcare teams to further investigate team dynamics and how findings can be used to optimize team function.
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