Urban-rural differences in preferences for traditional Chinese medicine services among chronic disease patients: a discrete choice experiment
- PMID: 39402534
- PMCID: PMC11475649
- DOI: 10.1186/s12906-024-04659-z
Urban-rural differences in preferences for traditional Chinese medicine services among chronic disease patients: a discrete choice experiment
Abstract
Background: With the increasing prevalence of chronic diseases, the demand for medical services from chronic disease patients has become diversified and personalized. The advantages and role of traditional Chinese medicine in the prevention and treatment of chronic diseases gradually emerging. The preferences and willingness to pay for traditional Chinese medicine services (TCMS) among patients with chronic diseases, as well as any disparities between urban and rural patients, have not been examined in past studies.
Objective: This study aimed to investigate the preferences of chronic disease patients for TCMS, explore the value/importance that patients place on different treatment attributes, and evaluate whether there are urban-rural differences in their preferences and willingness to pay for TCMS.
Methods: A total of 317 patients from Jiangsu Province, China participated in a discrete choice experiment that elicited the preferences for TCMS. The choice questions were constructed by six attributes: out-of-pocket (OOP) cost, institution, medical provider, treatment method, treatment duration, treatment efficacy. Mixed logit models were used to estimate the stated preference and marginal willingness to pay for each attribute.
Results: The choice preferences of chronic disease patients for TCMS in this study were influenced by the four attributes: institution, treatment method, and treatment efficacy, and OOP cost. Improvements in treatment efficacy were the most concerning, followed by being treated in traditional Chinese medicine (TCM) hospital. Patients were willing to pay more to get better treatment outcomes. Compared with primary care institutions, patients were willing to pay more for treatment in TCM hospitals. The preferences for economic attribute (OOP cost) varied between urban and rural areas, and rural patients tended to favor scenarios that imposed a lower economic burden on them.
Conclusion: The chronic disease patients' preferences for TCMS were determined mainly by treatment efficacy but also by institution, treatment method and OOP cost. The urban-rural difference in preference identified in this study highlights that effective policy interventions should consider the characteristics of patients' demand in different regions.
Keywords: Chronic diseases; Discrete choice experiment; Integrative medicine; Patient preferences; Traditional Chinese medicine services; Urban-rural disparities.
© 2024. The Author(s).
Conflict of interest statement
The authors declare no competing interests.
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References
-
- WHO. Noncommunicable Diseases Progress Monitor. 2022. Geneva: World Health Organization. https://www.who.int/publications/i/item/9789240047761. (Accessed 20 August 2024).
-
- WHO. World health statistics 2023: monitoring health for the SDGs, Sustainable Development Goals. https://www.who.int/publications/i/item/9789240074323. (Accessed 19 August 2024).
-
- Quinaz Romana G, Kislaya I, Cunha Gonçalves S, et al. Healthcare use in patients with multimorbidity. Eur J Public Health. 2020;30(1):16–22. - PubMed
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