Division of Physical Therapy, Medical School, University of Minnesota, Minneapolis, MN, USA.
J Educ Eval Health Prof. 2022;19:18. doi: 10.3352/jeehp.2022.19.18. Epub 2022 Aug 19.
Strong partnerships between academic health professions programs and clinical practice settings, termed academic-clinical partnerships, are essential in providing quality clinical training experiences. However, the literature does not operationalize a model by which an academic program may identify priority attributes and evaluate its partnerships. This study aimed to develop a values-based academic-clinical partnership evaluation approach, rooted in methodologies from the field of evaluation and implemented in the context of an academic Doctor of Physical Therapy clinical education program. The authors developed a semi-quantitative evaluation approach incorporating concepts from multi-attribute utility analysis (MAUA) that enabled consistent, values-based partnership evaluation. Data-informed actions led to improved overall partnership effectiveness. Pilot outcomes support the feasibility and desirability of moving toward MAUA as a potential methodological framework. Further research may lead to the development of a standardized process for any academic health profession program to perform a values-based evaluation of their academic-clinical partnerships to guide decision-making.
学术健康职业项目与临床实践环境之间的牢固伙伴关系，称为学术-临床伙伴关系，对于提供高质量的临床培训体验至关重要。然而，文献并没有制定一个模型，使学术项目可以确定优先属性并评估其伙伴关系。本研究旨在开发一种基于价值观的学术-临床伙伴关系评估方法，该方法根植于评估领域的方法，并在学术物理治疗临床教育计划的背景下实施。作者开发了一种半定量评估方法，纳入了多属性效用分析（MAUA）的概念，使合作伙伴关系的评估具有一致性和基于价值观。数据驱动的行动导致整体合作伙伴关系的有效性得到提高。试点成果支持朝着 MAUA 迈进的可行性和吸引力，MAUA 可能成为一种潜在的方法框架。进一步的研究可能会导致为任何学术健康职业项目制定一个标准化的流程，以对其学术-临床伙伴关系进行基于价值观的评估，从而指导决策。
