Evidence map›Paper›PMID 41691353›Full record

ArticleInfectious diseases of poverty2026

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

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

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Article in Infectious diseases of poverty, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Mengyuan Zhao *Department of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yingbei Xiong *Department of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yifan YaoDepartment of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Changli JiaDepartment of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Kunhe LinDepartment of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li XiangDepartment of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Junnan JiangDepartment of Labor and Social Security, School of Public Administration, Zhongnan University of Economics and Law, 182 Nanhu Avenue, Wuhan, 430073, China. jiangjunnan@zuel.edu.cn.

Funding

the National Natural Science Foundation of China 72474073, 72174068
6 · The paper itself

Abstract

backgroundTreating drug-resistant tuberculosis (DR-TB) is clinically complex and economically burdensome compared to drug-susceptible tuberculosis (DS-TB). China's diagnosis-intervention packet payment system initially omitted risk adjustment for drug resistance. In 2022, a diagnosis-intervention packet (DIP)-pilot city implemented such adjustment, establishing distinct reimbursement standards for DR-TB and DS-TB. This study aimed to assess the impact of this DR-type risk adjustment on medical expenditures, treatment efficiency, and care quality for TB patients.

methodsA quasi-experimental difference-in-differences design was employed, involving 8465 TB patients from June 2021 to December 2023. Linear regression was performed with time and treat fixed effects and the interaction term between time and treat. Subgroup analyses for DR-TB and DS-TB patients were conducted.

resultsUnder the DIP system, risk adjustment led to marginally significant reductions in inpatient expenditure per hospitalization [β = - 151.14, P = 0.065; 95% confidence interval (CI) for difference in proportions: - 311.66, 9.38] and in annual total inpatient expenditure per patient (β = - 200.58, P = 0.078, 95% CI - 423.26, 22.10) for all TB patients. It also resulted in significant reductions in inpatient out-of-pocket per hospitalization (β = - 257.51, P < 0.001, 95% CI - 316.20, - 198.81), annual total inpatient out-of-pocket per patient (β = - 266.78, P < 0.001, 95% CI - 342.02, - 191.53), inpatient length of stay per hospitalization (β = - 3.58, P < 0.001, 95% CI - 4.53, - 2.62), and annual total length of stay per patient (β = - 3.21, P < 0.001, 95% CI - 4.50, - 1.92). For DR-TB patients, all outcome measures in expenditures, efficiency, or care quality showed P > 0.1, indicating no significant changes. For DS-TB patients, measures of expenditures and efficiency showed P < 0.1, supporting significant or marginally significant reductions.

conclusionsThe 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.

Indexed as

Antitubercular AgentsHealth ExpendituresRisk AdjustmentTuberculosis, Multidrug-ResistantAdultChinaFemaleHospitalizationHumansMaleMiddle AgedTreatment OutcomeYoung AdultAntitubercular AgentsChinaDrug-resistantPayment reformRisk adjustmentTuberculosis

Identifiers

PMID41691353
PMCPMC12906684

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.