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How do patients trade-off surgeon choice and waiting times for total joint replacement: a discrete choice experiment.
Osteoarthritis and Cartilage 2018 April
OBJECTIVE: Patients face significant waiting times for hip and knee total joint replacement (TJR) in publicly funded healthcare systems. We aimed to assess how surgeon selection and reputation affect patients' willingness to wait for TJR.
DESIGN: We assessed patient preferences using a discrete choice experiment questionnaire with 12 choice scenarios administered to patients referred for TJR. Based on qualitative research, pre- and pilot-testing, we characterized each scenario by five attributes: surgeon reputation, surgeon selection, waiting time to surgeon visit (initial consultation), waiting time to surgery, and travel time to hospital. Preferences were assessed using hierarchical Bayes (HB) analysis and evaluated for goodness-of-fit. We conducted simulation analyses to understand how patients value surgeon reputation and surgeon selection in terms of willingness to wait for surgeon visit and surgery.
RESULTS: Of 422 participants, 68% were referred for knee TJR. The most important attribute was surgeon reputation followed by waiting times, surgeon selection process and travel time. Patients appear willing to wait 10 months for a visit with an excellent reputation surgeon before switching to a good reputation surgeon. Patients in the highest pain category were willing to wait 7.3 months before accepting the next available surgeon, compared to 12 months for patients experiencing the least pain.
CONCLUSIONS: Our findings confirm that patients value surgeon reputation in the context of wait times and surgeon selection. We suggest opportunities to reduce wait times by explicitly offering the next available surgeon to increase patient choice, and by reporting surgeon performance to reduce potential misinformation about reputation.
DESIGN: We assessed patient preferences using a discrete choice experiment questionnaire with 12 choice scenarios administered to patients referred for TJR. Based on qualitative research, pre- and pilot-testing, we characterized each scenario by five attributes: surgeon reputation, surgeon selection, waiting time to surgeon visit (initial consultation), waiting time to surgery, and travel time to hospital. Preferences were assessed using hierarchical Bayes (HB) analysis and evaluated for goodness-of-fit. We conducted simulation analyses to understand how patients value surgeon reputation and surgeon selection in terms of willingness to wait for surgeon visit and surgery.
RESULTS: Of 422 participants, 68% were referred for knee TJR. The most important attribute was surgeon reputation followed by waiting times, surgeon selection process and travel time. Patients appear willing to wait 10 months for a visit with an excellent reputation surgeon before switching to a good reputation surgeon. Patients in the highest pain category were willing to wait 7.3 months before accepting the next available surgeon, compared to 12 months for patients experiencing the least pain.
CONCLUSIONS: Our findings confirm that patients value surgeon reputation in the context of wait times and surgeon selection. We suggest opportunities to reduce wait times by explicitly offering the next available surgeon to increase patient choice, and by reporting surgeon performance to reduce potential misinformation about reputation.
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