Department of Sociology, University of Saskatchewan, 9 Campus Drive, Saskatoon, Saskatchewan, S7N 5A5, Canada.
J Interprof Care. 2010 Sep;24(5):565-78. doi: 10.3109/13561820903520385.
Empirical research on multi-disciplinary health care teams has yet to explore the development of mutual understanding between team members in the course of their collective clinical decision-making. This paper addresses this gap in the literature directly by examining changes in mutual understanding and the extent to which its facilitation is shared by individual members of multi-disciplinary health care teams. A Habermasian theoretical framework is used to operationalize mutual understanding. Social network analysis is used to analyze survey data on team-based clinical decision-making collected from multi-disciplinary health care teams in a Canadian province. The results of the study indicate that mutual understanding between team members ebbs and flows over the course of their collective clinical decisions. Further, as the extent of mutual understanding within the team increases, its facilitation becomes more equally shared among team members. The paper closes by specifying a practical outcome of the future work: a typology of clinical decisions that health care teams are able to use as an evaluation tool to assess how effectively they are making collective clinical decisions. As an evaluation tool, the typology would foster open and deliberative discussion, enable critical self-reflection, and thereby further enhancing mutual understanding within the teams.
多学科医疗团队的实证研究尚未探讨团队成员在集体临床决策过程中相互理解的发展。本文通过考察相互理解的变化以及多学科医疗团队的个体成员在多大程度上促进相互理解,直接填补了这一文献空白。本文使用哈贝马斯的理论框架来实现相互理解的可操作性。社会网络分析用于分析从加拿大一个省的多学科医疗团队收集的基于团队的临床决策调查数据。研究结果表明,团队成员之间的相互理解在他们的集体临床决策过程中时强时弱。此外,随着团队内部相互理解程度的提高,其促进作用在团队成员之间更加平均地共享。本文最后具体说明了未来工作的一个实际成果:多学科医疗团队能够使用一种临床决策分类法作为评估工具,评估他们集体临床决策的有效性。作为一种评估工具,该分类法将促进开放和审议性讨论,使自我反思具有批判性,从而进一步加强团队内部的相互理解。