Thematic Analysis of Using Visual Methods to Understand Healthcare Teams

Author:

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

Abstract

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.

Publisher

Nova Southeastern University

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3