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集采对肝功生化类检测试剂使用的影响——以江西省5家医院为例

The Impact of Centralized Volume-Based Procurement Policy on the Use of Liver Function Biochemical Test Reagents——Taking Five Hospitals of Jiangxi Province as Examples

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【摘要】 目的:分析集中带量采购政策对江西省医院肝功生化类检测试剂使用的影响,为完善体外诊断试剂集采政策提供参考。方法:收集2022年7月至2024年6月江西省5家医院6种肝功生化类检测试剂使用的月度数据,采用中断时间序列法分析集采前后患者数、试剂使用数量和人均使用数量指标的变化趋势。结果:集采政策实施后,6种肝功生化类试剂的使用患者数(β3=-5678.00,P=0.022)和试剂使用数量(β3=-12556.26,P=0.014)均呈现显著下降趋势,人均使用数量呈现下降趋势,但差异无统计学意义(β3=-0.0140,P=0.207)。此外,集采政策均显著降低了每种肝功生化类试剂的使用患者数量和试剂使用数量,对人均使用数量的影响不显著。结论:集采政策对肝功生化类检测试剂使用的影响显著,这些影响有助于减轻患者经济负担,满足其临床检验需求。

【Abstract】 Objective: The paper analyzes the impact of the centralized volume-based procurement policy on the use of liver function biochemical test reagents in hospitals of Jiangxi Province, and provides a reference for improving procurement policies for in vitro diagnostic reagents. Methods: Monthly data on the use of six types of liver function biochemical test reagents in five hospitals of Jiangxi Province were collected from July 2022 to June 2024. An interrupted time-series analysis was conducted to evaluate changes in the number of patients, reagent usage volume, and per capita usage before and after the implementation of the centralized procurement policy.Results: After the implementation of the centralized procurement policy, there was a significant decrease in the number of patients using the six types of liver function biochemical test reagents(β3 =-5678.00, P = 0.022) and in the total reagent usage volume(β3 =-12556.26, P = 0.014). Although the per capita usage showed a downward trend,the difference was not statistically significant(β3 =-0.0140, P = 0.207). Additionally, the policy led to a significant reduction in the number of patients and reagent usage for each type of reagent, while its impact on per capita usage was not significant. Conclusion: The centralized volume-based procurement policy had a significant impact on the use of liver function biochemical test reagents, helping to reduce the economic burden on patients and meeting their clinical testing needs.

【基金】 国家自然科学基金项目“基于医保大数据的药品合理使用监管决策创新方法研究”(82273899)
  • 【文献出处】 中国医疗保险 ,China Health Insurance , 编辑部邮箱 ,2024年12期
  • 【分类号】F426.4;F842.684;R95
  • 【下载频次】26
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