Preferences for Primary Healthcare Services Among Older Adults with Chronic Disease: A Discrete Choice Experiment

• Published in: Patient preference and adherence 2020-01, Vol.14, p.1625-1637
• Main Authors: Peng, Yingying, Jiang, Mingzhu, Shen, Xiao, Li, Xianglin, Jia, Erping, Xiong, Juyang
• Format: Article
• Language: English
• Subjects: Chinese medicine; chronic diseases; Chronic illnesses; Clinical decision making; Decision making; discrete choice experiment; Health care delivery; Health care policy; older adults; Older people; Original Research; preference heterogeneity; Preferences; Primary care; primary healthcare service
• ISSN: 1177-889X; 1177-889X
• DOI: 10.2147/PPA.S265093

The aim of this study was to quantify the relative importance of the preference heterogeneity of Chinese older adults with chronic disease for primary healthcare service (PHCS) in the hypothetical minor chronic disease scenario. A discrete choice experiment (DCE) was administered to the patients aged 60 and above with at least one chronic disease in China. Five DCE attributes were considered, including types of service, treatment options, out-of-pocket (OOP) cost per visit, distance to practice, and the seniority of medical practitioners. DCE data were analysed taking into account of potential preference heterogeneity using both a mixed logit model (MLM) and a latent class logit model (LCLM). A total of 432 respondents consented to complete the questionnaires and 372 valid respondents were included in analysis. All attributes were significantly influencing respondents' PHCS choice except for the types of service. Significant preference heterogeneity was observed among respondents. Based on the preferred LCLM estimates, four latent classes were identified. The first class (28.8%) valued modern medicine service the most, the second class (17.8%) was dominated by distance to practice, the third class (29%) preferred all the attributes except the types of services and valued TCM service most, the fourth class (24.4%) paid more attention to the types of service. Education, gender, age, income, regions of residence, and status of the chronic condition were found to be associated with latent class memberships. A better understanding of the relative importance of PHCS characteristics is a crucial step for the future policy implementations. The significant preference heterogeneity identified in this study highlights that effective policy interventions should be tailored to different patients' characteristics.