Impact of risk adjustment for drug-resistant types on tuberculosis patients’ outcomes under China’s innovative payment methods: a quasi-experimental study design

The DR-type risk adjustment policy under China's diagnosis-intervention packet system proved effective in optimizing resource use and enhancing efficiency, particularly for DS-TB patients, while preserving care quality for DR-TB patients. These findings demonstrate the value of tailored risk adjustment within payment frameworks for heterogeneous diseases like tuberculosis, providing crucial evidence for optimizing TB care and implementing effective payment reforms in China and similar settings.

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Publication Details

Journal
Infectious Diseases of Poverty
Published
2026-02-15
DOI
https://doi.org/10.1186/s40249-026-01423-y
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of risk adjustment for drug-resistant types on tuberculosis patients’ outcomes under China’s innovative payment methods: a quasi-experimental study design

Yingbei Xiong, Kunhe Lin, Changli Jia, Li Xiang et al.
Infectious Diseases of Poverty
Tuberculosis Research and Epidemiology
article

Impact of risk adjustment for drug-resistant types on tuberculosis patients’ outcomes under China’s innovative payment methods: a quasi-experimental study design

Yingbei Xiong, Kunhe Lin, Changli Jia, Li Xiang, Yifan Yao, Junnan Jiang, Mengyuan Zhao
article en

Abstract

The DR-type risk adjustment policy under China's diagnosis-intervention packet system proved effective in optimizing resource use and enhancing efficiency, particularly for DS-TB patients, while preserving care quality for DR-TB patients. These findings demonstrate the value of tailored risk adjustment within payment frameworks for heterogeneous diseases like tuberculosis, providing crucial evidence for optimizing TB care and implementing effective payment reforms in China and similar settings.

Infectious Diseases of PovertyVol. 15(1)
Zhongnan University of Economics and Law (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Huazhong University of Science and Technology
Good health and well-being
Openalex Percentile: Top 55%
Tuberculosis Research and Epidemiology
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