Episode-based bundled payments for total knee arthroplasty emphasize cost-effective patient-centered care. Understanding patients’ perceptions of components of the total knee arthroplasty care episode is critical to achieving this care. This study investigated patient preferences for components of the total knee arthroplasty care episode.
Best-worst scaling was used to analyze patient preferences for components of the total knee arthroplasty care episode. Participants were selected from patients presenting to 2 orthopaedic clinics with chronic knee pain. They were presented with descriptions of 17 attributes before completing a best-worst scaling exercise. Attribute importance was determined using hierarchical Bayesian estimation. Latent class analysis was used to evaluate varying preference profiles.
One hundred and seventy-four patients completed the survey, and 117 patients (67%) were female. The mean age was 62.71 years. Participants placed the highest value on surgeon factors, including level of experience, satisfaction rating, and complication rates. Latent class analysis provided a 4-segment model of the population.
This study demonstrated differences in patient preferences for the components of a total knee arthroplasty care episode and characterized distinct preference profiles among patient subsets. Stakeholders can use this information to focus efforts and policy on high-value components and to potentially create customized bundles guided by preference profiles.
This study is clinically relevant because the patient preferences identified here may help providers to design customized bundles for total knee arthroplasty care.
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1University of Rochester School of Medicine and Dentistry, Rochester, New York
2Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina
E-mail address for J.M. Reuter: JohnM_Reuter@URMC.Rochester.edu
Investigation performed at the Duke University Health System, Durham, North Carolina, and EmergeOrtho, Durham, North Carolina
Disclosure: One author of this study (C.C.C.) received a grant from the National Center for Advancing Translational Sciences of the National Institutes of Health (NIH) under Award Number TL1TR001116. On the Disclosure of Potential Conflicts of Interest forms, which are provided with the online version of the article, one or more of the authors checked “yes” to indicate that the author had a relevant financial relationship in the biomedical arena outside the submitted work (http://links.lww.com/JBJSOA/A72).
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