ArticleFrontiers in public health2025
The implementation effect of DIP payment method across different population in Southwest China based on multi-group interrupt time series.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Evaluating the Effect of Diagnosis-Intervention Packet (DIP) Reform in China on Hospitalization Outcomes for Patients with Chronic Obstructive Pulmonary Disease with Special Reference to M City.Healthcare (Basel, Switzerland) · 2026Article
- Risk-adjusted capitation payment for outpatient services in China's healthcare insurance: a case study of an affluent city in southern China.Frontiers in public health · 2026Article
- The effects of the diagnosis-intervention packet payment reform in China: evidence from Guangzhou.Frontiers in public health · 2025Article
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4 authors.
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Abstract
Background: Since 2020, China has implemented a payment method known as "Diagnosis-Intervention Package" (DIP) in 71 cities nationwide to address the specific needs of the country. The objective of this study is to evaluate the impact of DIP on medical quality and the burden experienced by inpatients covered under the Urban Employee Basic Medical Insurance (UEBMI) and Urban and Rural Residents Basic Medical Insurance (URRBMI). Furthermore, it aims to investigate potential differences in these effects between inpatients enrolled in the two distinct types of insurance, thereby enhancing our understanding of how this reform in payment methods influences healthcare delivery, and refine the social security system. Methods: We conducted a multiple-group interrupted time series analyses (MGITSA) on outcome variables reflecting medical services quality, and the burden of UEBMI and URRBMI inpatients, based on a dataset containing 180,071 inpatient reimbursement records in City C spanning from January, 2019 to December, 2021. This dataset included 42,581 records for URRBMI inpatients and 137,490 records for UEBMI inpatients. Results: After DIP implementation, both UEBMI and URRBMI showed increased inpatient numbers (21.59% and 22.26%, respectively), reduced LOS (7.10% for UEBMI, 0.29% for URRBMI), and higher ACR (3.07% for UEBMI, 15.36% for URRBMI). Hospitalization costs increased slightly for both groups (2.97% for UEBMI, 10.44% for URRBMI). Subgroup analysis revealed age-specific differences: significant LOS and cost changes in <18-year-olds and >45-year-olds, but minimal effects in 18-45-year-olds. MGITSA showed URRBMI experienced significant LOS reduction (β3=-0.004, P=0.014), while UEBMI had more pronounced LOS and ACR trends, with no significant inter-group differences in cost slopes. Conclusion: DIP improved hospital efficiency (reduced LOS, increased admissions) and financial protection (higher ACR) for both insurance groups in the short term, though hospitalization costs rose, requiring attention to potential service intensity inflation or cost-shifting. Age disparities in DIP impacts highlight the need for targeted policies. Continuous monitoring and policy adjustments are essential to balance cost control, service quality, and equity, ensuring DIP's long-term effectiveness in China's healthcare reform.
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