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中国恶性肿瘤患者住院费用中诊断相关分组政策的影响:2019 - 2022 年间断时间序列分析
Authors Zhang M, Wang G, Liu H, Wen Y, Chen L
Received 5 December 2024
Accepted for publication 5 February 2025
Published 27 February 2025 Volume 2025:18 Pages 655—665
DOI https://doi.org/10.2147/RMHP.S502474
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Jongwha Chang
Mingmin Zhang,1,2 Guoping Wang,1 Hairong Liu,1,2 Yufeng Wen,1,2 Lingling Chen1
1Wannan Medical College, Wuhu, People’s Republic of China; 2Anhui Key Laboratory of Philosophy and Social Sciences for Public Health Crisis Management, Wuhu, People’s Republic of China
Correspondence: Mingmin Zhang, Wannan Medical College, No. 22 Wenchang West Road, Higher Education Park, Wuhu, 241002, People’s Republic of China, Email zmm1307@163.com
Purpose: China’s diagnosis-intervention packet (DIP) policy, a medical insurance payment system leveraging big data, was implemented in Wuhu, China, in January 2021. Studies have proven that the DIP has been effective in reducing medication costs for elderly hospital patients with hypertension. However, research on hospitalization costs for other patients remains limited. As the incidence of malignant tumors has increased dramatically in China, this study assesses the system’s impact on hospitalization costs for patients with malignant tumors to confirm its broader effects.
Patients and Methods: Data on patients with malignant tumors (ICD codes C00-C97) were collected from a tertiary medical institution in Wuhu, using the policy’s implementation in January 2021 as the beginning timepoint. Outcome indicators included average monthly hospitalization expenses and sub-expenses for hospitalized patients with malignant tumors. A 48-month time-series database was constructed and the interruption time series model used to evaluate the changing trends in expenses before and after the DIP implementation.
Results: After DIP implementation, average hospitalization costs for patients with malignant tumors showed a statistically significant downward trend. Subgroup analysis revealed that patients with shorter hospital stays (1– 5 days) and cured outcomes saw the biggest expense drop from hospital cost-control effects. The DIP policy also affected cost structures, initially increasing diagnostic fees and consumable costs, but significantly reducing treatment fees, medication costs, and other related costs.
Conclusion: The study confirmed the effectiveness of the DIP policy in controlling hospitalization costs for patients with malignant tumors. Going forward, the government should optimize DIP rules to clarify cost calculation methods and prevent excessive use of high-cost diagnostics and consumables. Continued monitoring and evaluation are essential to ensure that the policy’s benefits are maintained over time. Medical institutions should improve resource allocation, diagnosis, and treatment efficiency; reduce unnecessary stays; and provide tailored treatment plans and cost support for patients with poor prognosis.
Keywords: medical insurance payment system, malignant tumor, medical costs, hospital expense cost structures