Analysis of the effect of the new health poverty alleviation“985”policy implementation in Hubei Province：Evidence from four counties in Xianning City

Corresponding author: MAO Zong-fu, zfmao@whu.edu.cn

DOI: 10.12201/bmr.202108.00026

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  Abstract: Objective To evaluate the implementation effects of the new health poverty alleviation “985” policy in Hubei Province and provide evidence for medical assistance policy making in the post-poverty alleviation era. Methods Collecting monthly hospital services reimbursement data of the rural poor in all four counties of Xianning from July 2018 to September 2020, Interrupted Time Series (ITS) analysis was adopted to analyze the changes in the operation of the medical assistance system from the three dimensions of assistance expenditure, medical treatment behaviors and assistance impact. Results The overall expenditure for medical assistance significantly decreased (β2=-975.393，p<0.01); the proportion of the rural poor who seek healthcare services in tertiary (β2=-861.340, p<0.001) or secondary (β2=-1876.833, p<0.01) health care facilities significantly decreased. On the other hand the proportion of assistance recipients significantly increased at primary level or below (β2=2744.779，p<0.01), in healthcare centers within the county (β2=922.877, p<0.001), or in the referred/recommended designated hospitals (β2=352.407, p<0.001); the individual expense per hospitalized patients significantly decreased (β2=-641.710，p<0.01), and the proportion of catastrophic health care expenditures occurring among the rural poor significantly decreased (β2=-5798.328, p<0.001). Conclusion The expenditure for medical assistance was saved, the medical treatment behaviors of the rural poor were standardized, and the effect of the medical assistance system was improved after the implementation of the new health poverty alleviation “985” policy in Hubei province. We should set the standard of medical assistance scientifically and expand the recipients of aid appropriately, while standardizing the medical assistance management, improving the primary medical and health services in counties to further optimize the medical assistance system.

  Key words: Health poverty alleviation policy; Medical assistance; Interrupted Time Series analysis; Implementation effect

  Submit time: 21 December 2021

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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