Best-Worst Scaling Survey of Inpatients’ Preferences in Medical Decision-Making Participation in China

Abstract

This study assesses inpatients’ preferences for participating in medical decision-making and determines the factors’ rankings in order of importance and whether they vary for respondents with different characteristics. Case 1 best-worst scaling (BWS) was used for the study design. Thirteen attributes influencing inpatient medical decision-making participation were identified based on a literature review and interview results. A balanced incomplete block design was used to form choice sets for the BWS questionnaire for a cross-sectional study examining inpatients’ preferences for participating in medical decision-making. Based on results from 814 inpatient participants, the three most important factors influencing inpatients’ medical decision-making participation were inpatients’ trust in physicians, physicians’ professional expertise, and physicians’ attitudes. The mixed logit model results reflect the significant heterogeneity in respondents’ preferences for shared decision-making. To facilitate resource allocation, improve the physician-patient relationship, and encourage patient decision-making participation more actively and effectively, decision-makers should emphasize patients’ trust, enhance physicians’ ability to diagnose and treat diseases, and improve their attitudes toward providing care and communication from the perspectives of patients, physicians, and the social environment. Further research is needed on the heterogeneity of patients’ preferences for participating in medical decision-making and how to improve patient participation.

Characteristic Clustering of Thrombolytic Agent Decision-making in Acute Ischemic Stroke and Analysis of Influencing Factors

“…This contradicts its high social support that would have a clearer perception of the disease and knowledge of the importance of thrombolysis, ultimately leading to con icting decisions. This is similar to the ndings of Sun et al [32] .…”

“…The third category of decision-makers is characterized by "high social support -high anxiety -low trustdelayed decision-making." Individuals with high levels of anxiety state perceive too much risk and are more likely to develop risk avoidance behaviors [32] . In addition, this category of decision-makers has a low level of trust in physicians and doubts about treatment options, which leads to delays in thrombolysis decisions.…”

Utility in Time Description in Priority Best–Worst Discrete Choice Models: An Empirical Evaluation Using Flynn’s Data

“…The simulation has performed in such a way that each person has to choices in all sets. The debate concerning optimal designs for DCEs could be enhanc a closer connection to the established literature on the optimal design of experimen suggested in Sun et al (2023) [10]. We used orthogonal design here for the simula There are three standard models in best-worst choice model design experiments w are: (1) paired, (2) marginal, and (3) marginal sequential models.…”

“…, K. The simulation has performed in such a way that each person has to make choices in all sets. The debate concerning optimal designs for DCEs could be enhanced by a closer connection to the established literature on the optimal design of experiments as suggested in Sun et al (2023) [10]. We used orthogonal design here for the simulation.…”

“…, m k }. The whole parameter set for a k-dimensional CO-CUB is, then, the ordered triplet π, ξ, α ϵ [0, 1] k × [0, 1] k × α, having the following interpretation: by the definition of copula, being margins of CUB, parameters π, ξ hold the same interpretation as in the unidimensional case, while for what concerns the copula parameter α, its interpretation as a dependence measure relates to the specific copula C adopted in Equation (10). Andreis and Ferrari (2013) [22] justified that the Placket copula distribution is one of the better candidates for the CO-CUB model.…”