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.

中文翻译：

---

多属性效用分析概念在美国评估学术临床合作伙伴关系中的成功试点应用：案例报告。

学术卫生专业计划和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经验至关重要。然而，文献并没有使学术项目可以识别优先属性和评估其伙伴关系的模型可操​​作。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，该方法植根于评估领域的方法论，并在物理治疗博士临床教育计划的学术背景下实施。作者开发了一种半定量评估方法，该方法结合了多属性效用分析 (MAUA) 的概念，可实现一致的、基于价值的伙伴关系评估。以数据为依据的行动提高了整体伙伴关系的有效性。试点结果支持将 MAUA 作为潜在的方法框架的可行性和可取性。进一步的研究可能会导致任何学术健康专业项目的标准化流程的发展，以对其学术-临床伙伴关系进行基于价值的评估，以指导决策。