Characterizing Patient Preferences Surrounding Total Knee Arthroplasty
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...
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| Published in: | JB & JS open access Vol. 3; no. 4; p. e0017 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Wolters Kluwer
20-12-2018
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| Abstract | 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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| AbstractList | 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. BACKGROUNDEpisode-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. METHODSBest-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. RESULTSOne 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. CONCLUSIONSThis 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. CLINICAL RELEVANCEThis study is clinically relevant because the patient preferences identified here may help providers to design customized bundles for total knee arthroplasty care. |
| Author | Politzer, Cary S. Attarian, David E. Calixte, Christopher C. Scott, Daniel J. Reuter, John M. Hutyra, Carolyn A. Mather, Richard C. |
| AuthorAffiliation | University of Rochester School of Medicine and Dentistry, Rochester, New York Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina |
| AuthorAffiliation_xml | – name: University of Rochester School of Medicine and Dentistry, Rochester, New York – name: Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina |
| Author_xml | – sequence: 1 givenname: John M. surname: Reuter fullname: Reuter, John M. organization: University of Rochester School of Medicine and Dentistry, Rochester, New York – sequence: 2 givenname: Carolyn A. surname: Hutyra fullname: Hutyra, Carolyn A. organization: Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina – sequence: 3 givenname: Cary S. surname: Politzer fullname: Politzer, Cary S. organization: Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina – sequence: 4 givenname: Christopher C. surname: Calixte fullname: Calixte, Christopher C. organization: Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina – sequence: 5 givenname: Daniel J. surname: Scott fullname: Scott, Daniel J. organization: Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina – sequence: 6 givenname: David E. surname: Attarian fullname: Attarian, David E. organization: Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina – sequence: 7 givenname: Richard C. surname: Mather fullname: Mather, Richard C. organization: Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30882052$$D View this record in MEDLINE/PubMed |
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| Copyright | Wolters Kluwer Copyright © 2018 The Authors. Published by The Journal of Bone and Joint Surgery, Incorporated. All rights reserved. 2018 |
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| Title | Characterizing Patient Preferences Surrounding Total Knee Arthroplasty |
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