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The Effect of an Innovative Financing and Payment Model for Tuberculosis Patients on Health Service Utilization in China: Evidence from Hubei Province of China

Author

Listed:
  • Junnan Jiang

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Henry Lucas

    (Institute of Development Studies, University of Sussex, Brighton BN1 9RE, UK)

  • Qian Long

    (Global Health Research Center, Duke Kunshan University, Kunshan 215316, China)

  • Yanjiao Xin

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Li Xiang

    (School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan 430030, China)

  • Shenglan Tang

    (Duke Global Health Institute, Duke University, Durham, NC 27710, USA)

Abstract

Background : Tuberculosis (TB) remains a major social and public health problem in China. The “China–Gates TB Project” started in 2012, and one of its objectives was to reduce the financial burden on TB patients and to improve access to quality TB care. The aims of this study were to determine if the project had positive impacts on improving health service utilization. Methods : The ‘China–Gates TB Project’ was launched in Yichang City (YC), Hubei Province in April 2014 and ended in March 2015, lasting for one year. A series of questionnaire surveys of 540 patients were conducted in three counties of YC at baseline and final evaluations. Inpatient and outpatient service utilization were assessed before and after the program, with descriptive statistics. Propensity score matching was used to evaluate the impact of the China–Gates TB Project on health service utilization by minimizing the differences in the other characteristics of baseline and final stage groups. Focus group discussions (FGDs) were held to further enrich the results. Results : A total of 530 patients were included in this study. Inpatient rates significantly increased from 33.5% to 75.9% overall ( p < 0.001), with the largest increase occurring for low income patients. Outpatient visits increased from 4.6 to 5.6 ( p < 0.001), and this increase was also greatest for the poorest patients. Compared with those who lived in developed counties, the overall increase in outpatient visits for illness in the remote Wufeng county was higher. Conclusions : The China–Gates TB Project has effectively improved health service utilization in YC, and poor patients benefited more from it. TB patients in remote underdeveloped counties are more likely to increase the use of outpatient services rather than inpatient services. There is a need to tilt policy towards the poor, and various measures need to be in place in order to ensure health services utilization in undeveloped areas.

Suggested Citation

  • Junnan Jiang & Henry Lucas & Qian Long & Yanjiao Xin & Li Xiang & Shenglan Tang, 2019. "The Effect of an Innovative Financing and Payment Model for Tuberculosis Patients on Health Service Utilization in China: Evidence from Hubei Province of China," IJERPH, MDPI, vol. 16(14), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:14:p:2494-:d:247976
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    References listed on IDEAS

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    1. Castro-Leal, Florencia & Dayton, Julia & Demery, Lionel & Mehra, Kalpana, 1999. "Public Social Spending in Africa: Do the Poor Benefit?," The World Bank Research Observer, World Bank, vol. 14(1), pages 49-72, February.
    2. Stéphane Verguet & Ramanan Laxminarayan & Dean T. Jamison, 2015. "Universal Public Finance of Tuberculosis Treatment in India: An Extended Cost‐Effectiveness Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 318-332, March.
    3. Antonio Trujillo & Jorge Portillo & John Vernon, 2005. "The Impact of Subsidized Health Insurance for the Poor: Evaluating the Colombian Experience Using Propensity Score Matching," International Journal of Health Economics and Management, Springer, vol. 5(3), pages 211-239, September.
    4. Xu, B. & Fochsen, G. & Xiu, Y. & Thorson, A. & Kemp, J. R. & Jiang, Q. W., 2004. "Perceptions and experiences of health care seeking and access to TB care--a qualitative study in Rural Jiangsu Province, China," Health Policy, Elsevier, vol. 69(2), pages 139-149, August.
    5. Alexandra Beith & Rena Eichler & Diana Weil, 2007. "Performance-Based Incentives for Health: A Way to Improve Tuberculosis Detection and Treatment Completion?," Working Papers 122, Center for Global Development.
    6. Emmanuel Grellety & Francisco J Luquero & Christopher Mambula & Hassana H Adamu & Greg Elder & Klaudia Porten, 2013. "Observational Bias during Nutrition Surveillance: Results of a Mixed Longitudinal and Cross-Sectional Data Collection System in Northern Nigeria," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-11, May.
    7. Wei, Xiaolin & Walley, John & Zhao, Jin & Yao, Hongyan & Liu, Jianjun & Newell, James, 2009. "Why financial incentives did not reach the poor tuberculosis patients? A qualitative study of a Fidelis funded project in Shanxi, China," Health Policy, Elsevier, vol. 90(2-3), pages 206-213, May.
    8. Krishna Dipankar Rao & David H. Peters, 2007. "Quality improvement and its impact on the use and equality of outpatient health services in India," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 799-813, August.
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