Using Adaptive Choice‐Based Conjoint Approach to Facilitate Shared Decision‐Making in Osteoarthritis Management: A Patient Perception Study

Objective This study examines the application of the adaptive choice‐based conjoint (ACBC) method to facilitate the shared decision‐making (SDM) process for osteoarthritis (OA) treatment. Methods The study recruited adult patients with OA attending the rheumatology/orthopedics clinics in a local urban hospital in Abu Dhabi, United Arab Emirates (UAE). Participants completed a questionnaire regarding who influences their decision in selecting OA medication, followed by an ACBC questionnaire about OA medication preferences and a questionnaire about the potential contribution of ACBC to the SDM process. A univariate analysis was used to investigate the relationships between participant variables and factors that influence their decision‐making processes. The chi‐squared test, Fisher's exact test, Cramér's V coefficient test, and multivariable logistic regression analysis were used. The primary outcome investigates the contribution of the ACBC method to the SDM process for OA treatment. Secondary outcomes measure the association between patient demographics and variables related to the SDM process and ACBC questionnaire. Results Five hundred patients participated in this study, with a response rate of 100%. Most study participants were 60 to 69 years old (34.8%), women (78.8%), and UAE nationals (90.4%). Patients’ opinions and online or paper information influencing their decision in selecting OA medication had a statistically significant association with age, gender, education, and employment (P = 0.001, P = 0.039, P = 0.002, and P = 0.001, respectively). Employment status showed the strongest association (φc 0.170) with being independent in making the decision about OA medications, whereas education levels showed the strongest association (φc 0.24) with decisions impacted by online or paper information. The results of the multivariable logistic analysis showed that the only statistically significant variable for online or paper information that influenced the decision in selecting OA medication was education level (P = 0.003). Most participants agreed or strongly agreed that the ACBC predicted their preferences for OA treatment (96.8%) and that the questionnaire may help doctors understand patient preferences (93%), and they recommended the use of the ACBC tool in doctors’ clinics to aid the SDM process (92.8%) between patients and their physicians. Conclusion An ACBC approach can facilitate doctors’ understanding of patient preferences and aid the SDM proce