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已发表论文
利用离散选择实验推导骨质疏松症患者药物治疗偏好：一项范围综述
Authors Wang Y , Lu H, Liu G, Niu C, Zhang Z, Zhan Q, Liu M, Qin H
Received 7 July 2025
Accepted for publication 16 October 2025
Published 6 November 2025 Volume 2025:19 Pages 3483—3492
DOI https://doi.org/10.2147/PPA.S552204
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Johnny Chen
Yue Wang,1 Hui Lu,1 Guoqing Liu,2 Congying Niu,3 Zhenwei Zhang,1 Qiongling Zhan,4 Mengmeng Liu,4 Hanzhi Qin1
1Department of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China; 2Department of Nursing,Tianjin First Central Hospital, Tianjin, People’s Republic of China; 3Department of Cardiology, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China; 4Department of Joint Surgery Ward 2, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China
Correspondence: Hanzhi Qin, Department of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China, Email qinhanzhi@163.com
Objective: To conduct a scoping review of discrete choice experiment (DCE) studies assessing medication preference patterns in patients with osteoporosis, focusing on quantifying preference intensities, willingness-to-pay for treatment attributes, and heterogeneity in preferences across patient subgroups. This analysis aims to support evidence-based clinical decision-making.
Methods: A scoping review was undertaken, where five electronic databases were searched for key terms to identify eligible DCE studies related to drug treatment preference for osteoporosis patients. We included studies that met criteria, including being published from database establishment until April 20, 2024. Data were systematically extracted, tabulated, and summarised in a narrative review.
Results: Nine studies met the inclusion criteria, six of which were conducted in Europe. The included DCE studies contained between 3 and 6 attributes and 2 to 6 levels per attribute. The number of choice sets per study ranged from 8 to 36. Treatment efficacy emerged as the most critical attribute. Subgroup analyses revealed significant preference heterogeneity associated with age, educational attainment, and fracture history.
Conclusion: Incorporating quantified patient preferences and WTP metrics into treatment planning may optimize adherence rates and osteoporosis management outcomes. This preference-sensitive approach demonstrates potential to reduce both clinical burden and patient financial burden through value-based treatment allocation.
Keywords: osteoporosis, discrete choice experiment, preference, scoping review
1Department of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China; 2Department of Nursing,Tianjin First Central Hospital, Tianjin, People’s Republic of China; 3Department of Cardiology, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China; 4Department of Joint Surgery Ward 2, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China
Correspondence: Hanzhi Qin, Department of Nursing, The First Affiliated Hospital of USTC, Hefei, Anhui, People’s Republic of China, Email qinhanzhi@163.com
Objective: To conduct a scoping review of discrete choice experiment (DCE) studies assessing medication preference patterns in patients with osteoporosis, focusing on quantifying preference intensities, willingness-to-pay for treatment attributes, and heterogeneity in preferences across patient subgroups. This analysis aims to support evidence-based clinical decision-making.
Methods: A scoping review was undertaken, where five electronic databases were searched for key terms to identify eligible DCE studies related to drug treatment preference for osteoporosis patients. We included studies that met criteria, including being published from database establishment until April 20, 2024. Data were systematically extracted, tabulated, and summarised in a narrative review.
Results: Nine studies met the inclusion criteria, six of which were conducted in Europe. The included DCE studies contained between 3 and 6 attributes and 2 to 6 levels per attribute. The number of choice sets per study ranged from 8 to 36. Treatment efficacy emerged as the most critical attribute. Subgroup analyses revealed significant preference heterogeneity associated with age, educational attainment, and fracture history.
Conclusion: Incorporating quantified patient preferences and WTP metrics into treatment planning may optimize adherence rates and osteoporosis management outcomes. This preference-sensitive approach demonstrates potential to reduce both clinical burden and patient financial burden through value-based treatment allocation.
Keywords: osteoporosis, discrete choice experiment, preference, scoping review