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Exploring Chinese Elderly’s Trust in the Healthcare System: Empirical Evidence from a Population-Based Survey in China

Author

Listed:
  • Lu Chen

    (School of Journalism and Communication, Guangzhou University, Guangzhou 510006, China)

  • Miaoting Cheng

    (Department of Educational Technology, Faculty of Education, Shenzhen University, Shenzhen 518060, China)

Abstract

This research aims to investigate how much the Chinese elderly trust the healthcare system and the critical factors that influence their trust. We use data from the China Social Survey (CSS) collected by the Chinese Academy of Social Sciences in the year 2019 to examine how demographic factors, social-economic status, internet access, and perceptions of the healthcare system impact the Chinese elderly’s trust in the healthcare system. Our research finds male gender, high educational level, and having internet access are negatively related to the elderly’s trust in the healthcare system. Our research also reveals that the elderly’s trust in the healthcare system was significantly related to their subjective perception of their social–economic status, upward mobility, and perception of accessibility and affordability rather than other objective indicators such as income and financial protection. The results imply that the elderly have a pessimistic expectation of their subjective social status and future possibilities of upward mobility in their later life, which deepens their distrust of the health system. Additionally, the accessibility and affordability of the healthcare system have remained problematic among the Chinese elderly. The study provides important theoretical and practical implications to enhance the elderly’s trust in the healthcare system.

Suggested Citation

  • Lu Chen & Miaoting Cheng, 2022. "Exploring Chinese Elderly’s Trust in the Healthcare System: Empirical Evidence from a Population-Based Survey in China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16461-:d:997178
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    References listed on IDEAS

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    1. Yunsong Chen & Mark Williams, 2018. "Subjective Social Status in Transitioning China: Trends and Determinants," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 406-422, March.
    2. Qin Zhou & Qing He & Karen Eggleston & Gordon G Liu, 2022. "Urban-rural health insurance integration in china: impact on health care utilization, financial risk protection, and health status," Applied Economics, Taylor & Francis Journals, vol. 54(22), pages 2491-2509, May.
    3. Gong, Yingli & Wang, Hongwei & Xia, Qiangwei & Zheng, Lijuan & Shi, Yunxiang, 2021. "Factors that determine a Patient's willingness to physician selection in online healthcare communities: A trust theory perspective," Technology in Society, Elsevier, vol. 64(C).
    4. Tian Lu & Yunjie (Calvin) Xu & Scott Wallace, 2018. "Internet usage and patient's trust in physician during diagnoses: A knowledge power perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(1), pages 110-120, January.
    5. Wang, Hufeng & Gusmano, Michael K. & Cao, Qi, 2011. "An evaluation of the policy on community health organizations in China: Will the priority of new healthcare reform in China be a success?," Health Policy, Elsevier, vol. 99(1), pages 37-43, January.
    6. Lianjie Wang & Yao Tang & Farnaz Roshanmehr & Xiao Bai & Farzad Taghizadeh-Hesary & Farhad Taghizadeh-Hesary, 2021. "The Health Status Transition and Medical Expenditure Evaluation of Elderly Population in China," IJERPH, MDPI, vol. 18(13), pages 1-14, June.
    7. Shan Lu & Yan Zhang & Yadong Niu & Liang Zhang, 2018. "Exploring Medical Expenditure Clustering and the Determinants of High-Cost Populations from the Family Perspective: A Population-Based Retrospective Study from Rural China," IJERPH, MDPI, vol. 15(12), pages 1-14, November.
    8. Michael Siegrist & George Cvetkovich, 2000. "Perception of Hazards: The Role of Social Trust and Knowledge," Risk Analysis, John Wiley & Sons, vol. 20(5), pages 713-720, October.
    9. Pengfei Zhang & Jinghua Gao, 2021. "Quality of public health insurance and individuals’ consumption structure upgrades: evidence from China," Health Economics Review, Springer, vol. 11(1), pages 1-12, December.
    10. Tan, Si Ying & Wu, Xun & Yang, Wei, 2019. "Impacts of the type of social health insurance on health service utilisation and expenditures: implications for a unified system in China," Health Economics, Policy and Law, Cambridge University Press, vol. 14(4), pages 468-486, October.
    11. Dahai Zhao & Hongyu Zhao & Paul D. Cleary, 2019. "International variations in trust in health care systems," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 130-139, January.
    12. Zhou, Zhongliang & Zhao, Yaxin & Shen, Chi & Lai, Sha & Nawaz, Rashed & Gao, Jianmin, 2021. "Evaluating the effect of hierarchical medical system on health seeking behavior: A difference-in-differences analysis in China," Social Science & Medicine, Elsevier, vol. 268(C).
    13. Xiang Zou & Ruth Fitzgerald & Jing-Bao Nie, 2020. "“Unworthy of Care and Treatment”: Cultural Devaluation and Structural Constraints to Healthcare-Seeking for Older People in Rural China," IJERPH, MDPI, vol. 17(6), pages 1-13, March.
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