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Treatment Preferences of Residents Assumed to Have Severe Chronic Diseases in China: A Discrete Choice Experiment

Author

Listed:
  • Yinghao Lv

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Qiang Fu

    (Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, St Louis, MO 63103, USA)

  • Xiao Shen

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Erping Jia

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Xianglin Li

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Yingying Peng

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Jinghong Yan

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Mingzhu Jiang

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Juyang Xiong

    (Department of Health Administration, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China)

Abstract

Objectives: This study aims to elicit the relative importance of treatment attributes that influence residents’ choice, assuming they are suffering severe non-communicable diseases (NCDs), to explore how they make trade-offs between these attributes and to estimate the monetary value placed on different attributes and attribute levels. Methods: A discrete choice experiment (DCE) was conducted with adults over 18 years old in China. Preferences were evaluated based on four treatment attributes: care provider, mode of service, distance to practice and cost. A mixed logit model was used to analyze the relative importance of the four attributes and to calculate the willingness to pay (WTP) for a changed attribute level. Results: A total of 93.47% (2019 of 2160) respondents completed valid questionnaires. The WTP results suggested that participants would be willing to pay CNY 822.51 (USD 124.86), CNY 470.54 (USD 71.41) and CNY 68.20 (USD 10.35) for services provided by experts, with integrated traditional Chinese medicine (TCM) and Western medicine (WM) and with a service distance <=30 min, respectively. Conclusions: The results suggested that mode of service, care provider, distance to practice and cost should be considered in priority-setting decisions. The government should strengthen the curative service capability in primary health facilities and give full play to the role of TCM in the prevention and treatment of severe chronic diseases.

Suggested Citation

  • Yinghao Lv & Qiang Fu & Xiao Shen & Erping Jia & Xianglin Li & Yingying Peng & Jinghong Yan & Mingzhu Jiang & Juyang Xiong, 2020. "Treatment Preferences of Residents Assumed to Have Severe Chronic Diseases in China: A Discrete Choice Experiment," IJERPH, MDPI, vol. 17(22), pages 1-10, November.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8420-:d:444807
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    References listed on IDEAS

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    1. Shangfeng Tang & Dong Dong & Lu Ji & Hang Fu & Zhanchun Feng & Ghose Bishwajit & Zhifei He & Hui Ming & Qian Fu & Yue Xian, 2015. "What Contributes to the Activeness of Ethnic Minority Patients with Chronic Illnesses Seeking Allied Health Services? A Cross-Sectional Study in Rural Western China," IJERPH, MDPI, vol. 12(9), pages 1-15, September.
    2. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    3. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    4. 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.
    5. Jiang Wu & Shengchao Zhang & Huiqing Chen & Yingyu Lin & Xiaoxin Dong & Xiaoxu Yin & Zuxun Lu & Shiyi Cao, 2016. "Patient Satisfaction with Community Health Service Centers as Gatekeepers and the Influencing Factors: A Cross-Sectional Study in Shenzhen, China," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-9, August.
    6. Jorien Veldwijk & Mattijs S Lambooij & Esther W de Bekker-Grob & Henriëtte A Smit & G Ardine de Wit, 2014. "The Effect of Including an Opt-Out Option in Discrete Choice Experiments," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    7. Liu, Yun & Kong, Qingxia & de Bekker-Grob, Esther W., 2019. "Public preferences for health care facilities in rural China: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 237(C), pages 1-1.
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    1. Antonio Sarría-Santamera & Alua Yeskendir & Tilektes Maulenkul & Binur Orazumbekova & Abduzhappar Gaipov & Iñaki Imaz-Iglesia & Lorena Pinilla-Navas & Teresa Moreno-Casbas & Teresa Corral, 2021. "Population Health and Health Services: Old Challenges and New Realities in the COVID-19 Era," IJERPH, MDPI, vol. 18(4), pages 1-5, February.

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