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.
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Application of Multi-Attribute Utility Analysis as a Methodological Framework in Academic–Clinical Partnership Evaluation Sara E. North American Journal of Evaluation.2024; 45(4): 562. CrossRef
Multi-attribute monitoring applications in biopharmaceutical analysis Anurag S. Rathore, Deepika Sarin, Sanghati Bhattacharya, Sunil Kumar Journal of Chromatography Open.2024; 6: 100166. CrossRef
Advancing Value-Based Academic–Clinical Partnership Evaluation in Physical Therapy Education: Multiattribute Utility Analysis as a Contextual Methodological Approach Sara North Journal of Physical Therapy Education.2024;[Epub] CrossRef