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How Do Type 2 Diabetes Patients Value Urban Integrated Primary Care in China? Results of a Discrete Choice Experiment

Author

Listed:
  • Xin Wang

    (School of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou 510080, China)

  • Kuimeng Song

    (Shandong Institute of Medicine and Health Information, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250012, China)

  • Paiyi Zhu

    (School of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou 510080, China)

  • Pim Valentijn

    (Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 GT Maastricht, The Netherlands
    Integrated Care Evaluation, Essenburgh Research & Consultancy, 3849 AE Hierden, The Netherlands)

  • Yixiang Huang

    (School of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou 510080, China)

  • Stephen Birch

    (Centre for the Business and Economics of Health, University of Queensland, Brisbane, QLD 4072, Australia)

Abstract

Objectives: Fragmented healthcare in China cannot meet the needs of the growing number of type 2 diabetes patients. The World Health Organization proposed an integrated primary care approach to address the needs of patients with chronic conditions. This study aims to measure type 2 diabetes patients’ preferences for urban integrated primary care in China. Methods: A discrete choice experiment was designed to measure type 2 diabetes patient preferences for seven priority attributes of integrated care. A two-stage sampling survey of 307 type 2 diabetes mellitus (T2DM) patients in 16 community health stations was carried out. Interviews were conducted to explore the reasons underpinning the preferences. A logit regression model was used to estimate patients’ willingness to pay and to analyze the expected impact of potential policy changes. Results: Travel time to care providers and experience of care providers are the most valued attributes for respondents rather than out-of-pocket cost. Attention to personal situation, the attentiveness of care providers, and the friendliness and helpfulness of staff were all related to interpersonal communication between patients and health care providers. Accurate health information and multidisciplinary care were less important attributes. Conclusions: The study provides an insight into type 2 diabetes patients’ needs and preferences of integrated primary care. People-centered interventions, such as increasing coverage by family doctor and cultivating mutual continuous relationships appear to be key priorities of policy and practice in China.

Suggested Citation

  • Xin Wang & Kuimeng Song & Paiyi Zhu & Pim Valentijn & Yixiang Huang & Stephen Birch, 2019. "How Do Type 2 Diabetes Patients Value Urban Integrated Primary Care in China? Results of a Discrete Choice Experiment," IJERPH, MDPI, vol. 17(1), pages 1-12, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:117-:d:301023
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    References listed on IDEAS

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    1. Verelst, Frederik & Willem, Lander & Kessels, Roselinde & Beutels, Philippe, 2018. "Individual decisions to vaccinate one's child or oneself: A discrete choice experiment rejecting free-riding motives," Social Science & Medicine, Elsevier, vol. 207(C), pages 106-116.
    2. Michael Clark & Domino Determann & Stavros Petrou & Domenico Moro & Esther Bekker-Grob, 2014. "Discrete Choice Experiments in Health Economics: A Review of the Literature," PharmacoEconomics, Springer, vol. 32(9), pages 883-902, September.
    3. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    4. Determann, Domino & Lambooij, Mattijs S. & de Bekker-Grob, Esther W. & Hayen, Arthur P. & Varkevisser, Marco & Schut, Frederik T. & Wit, G. Ardine de, 2016. "What health plans do people prefer? The trade-off between premium and provider choice," Social Science & Medicine, Elsevier, vol. 165(C), pages 10-18.
    5. Yaohui Zhao & Eileen M. Crimmins & Peifeng Hu & Yang Shen & James P. Smith & John Strauss & Yafeng Wang & Yuan Zhang, 2016. "Prevalence, diagnosis, and management of diabetes mellitus among older Chinese: results from the China Health and Retirement Longitudinal Study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 61(3), pages 347-356, April.
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