five

Health utilization raw data.

收藏
Figshare2025-12-26 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/_p_Health_utilization_raw_data_p_/30955276
下载链接
链接失效反馈
官方服务:
资源简介:
IntroductionChinese volume-based procurement (VBP) policy, implemented nationally in 2019, represents a cornerstone of healthcare reform aiming to reduce drug prices through centralized drug procurement. While existing studies have demonstrated the success of the VBP policy in lowering drug costs, comprehensive assessments of system-wide impacts on healthcare expenditures and service utilization remain underexplored. This study evaluates its effects on outpatient and inpatient service costs and volumes.Materials and methodsWe conducted an interrupted time series analysis using panel data (2009–2022) from the China Health Statistical Yearbook and the China Statistical Yearbook. Primary outcomes included CPI(Consumer Price Index)-adjusted per-visit outpatient(OP)/inpatient(IP) expenditures, hospital OP rates, hospital IP rates, and length of stay. Segmented regression models quantified immediate and long-term policy effects, with two-stage meta-analysis evaluating regional heterogeneity.Results and discussionWhen the VBP implementation occurred, per-visit outpatient costs (β2 = 21.400, P 2 = 693.749, P = 0.006) showed an instantaneous increasing trend. The post-policy long-term trend was decreasing annually by 5.702 Chinese Yuan (CNY) (P 3 = 0.069, P = 0.046). Marked regional heterogeneity was observed (I² = 64.6–88.3%), with municipalities showing the most pronounced variations.ConclusionsChinese national centralized volume-based drug procurement policy has significantly reduced drug prices but initially increased non-drug costs. Regional disparities linked to aging demographics and complementary reforms (e.g., Diagnosis Related Group) shaped outcomes, while COVID-19 temporarily suppressed utilization. Future policy optimization should integrate Diagnosis Related Group payment reforms with regionally tailored strategies to balance cost containment and service quality. We recommend enhancing temporal resolution and extending observation periods to enable more precise policy evaluation.
创建时间:
2025-12-26
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作