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基于诊断相关分组数据的药物利用审查,以减少住院患者的不合理用药和药品费用。

Drug utilization reviews to reduce inappropriate drug use and pharmaceutical costs in inpatients based on diagnosis-related group data.

机构信息

Department of Pharmacy, The First College of Clinical Medicine Science, Three Gorges University, Yichang, China.

Department of Pharmacy, Yichang Central People's Hospital, Yichang, China.

出版信息

Technol Health Care. 2024;32(6):4353-4363. doi: 10.3233/THC-240284.

Abstract

BACKGROUND

Irrational pharmacotherapy and increasing pharmacy costs remain major concerns in healthcare systems. Pharmacists are expected to employ diagnosis-related group (DRG) data to analyse inpatient pharmacy utilization.

OBJECTIVE

This project aimed to pilot an efficient pharmacist-led programme to analyse factors related to pharmacy expenses, evaluate the rational use of drugs in batch processing, and make further interventions based on DRG data.

METHODS

Patients from the OB25 (caesarean section without comorbidities or complications) DRG were selected in 2018, and the most relevant factors were identified through statistical analysis. Interventions were implemented by sending monthly reports on prescribing data and drug review results for the same DRGs to the department starting in 2019. Pre-post comparisons were conducted to demonstrate changes in pharmacy costs and appropriateness at a tertiary teaching hospital with 2,300 beds in China.

RESULTS

A total of 1,110 patients were identified from the OB25 DRG data in 2018. Multivariate linear analysis indicated that the number of items prescribed and wards substantially influenced pharmacy expenditure. Drugs labelled as vital, essential, and non-essential revealed that 46.6% of total pharmacy costs were spent on non-essential drugs, whereas 38.7% were spent on vital drugs. The use of inappropriate pharmaceuticals and drug items was substantially reduced, and the average pharmacy cost after intervention was 336.7 RMB in 2020. The benefit-cost ratio of the programme was 9.86.

CONCLUSION

Interventions based on DRG data are highly efficient and feasible for reducing inpatient pharmacy costs and non-essential drug use.

摘要

背景

不合理的药物治疗和不断增加的药房成本仍然是医疗保健系统的主要关注点。药剂师应利用诊断相关分组 (DRG) 数据来分析住院药房的使用情况。

目的

本项目旨在试点一个高效的药剂师主导的计划,以分析与药房费用相关的因素,评估批量处理药物的合理使用情况,并根据 DRG 数据进行进一步干预。

方法

2018 年选择了 OB25(无合并症或并发症的剖宫产)DRG 中的患者,并通过统计分析确定了最相关的因素。自 2019 年开始,通过向相关科室发送每月的处方数据和药物审查结果报告,实施干预措施。在中国一家拥有 2300 张床位的三级教学医院进行了前后对比,以展示药房费用和适宜性的变化。

结果

从 2018 年 OB25DRG 数据中确定了 1110 名患者。多变量线性分析表明,开方数量和病房对药房支出有重大影响。标记为必需、基本和非必需的药物表明,总药房费用的 46.6%用于非必需药物,而 38.7%用于必需药物。不适当药物的使用显著减少,2020 年干预后的平均药房费用为 336.7 元。该计划的成本效益比为 9.86。

结论

基于 DRG 数据的干预措施对于降低住院药房成本和非必需药物的使用非常有效且可行。

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