Suppr超能文献

利用电子入院数据监测当地用药的时间趋势:来自澳大利亚一家三级教学医院的经验。

Using electronic admission data to monitor temporal trends in local medication use: Experience from an Australian tertiary teaching hospital.

作者信息

Woodman Richard J, Horwood Chris, Kunnel Aline, Hakendorf Paul, Mangoni Arduino A

机构信息

Centre of Epidemiology and Biostatistics, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

Department of Clinical Epidemiology, Flinders Medical Centre, Southern Adelaide Local Health Network, Adelaide, SA, Australia.

出版信息

Front Pharmacol. 2022 Oct 14;13:888677. doi: 10.3389/fphar.2022.888677. eCollection 2022.

Abstract

Medication usage varies according to prescribing behavior, professional recommendations, and the introduction of new drugs. Local surveillance of medication usage may be useful for understanding and comparing prescribing practices by healthcare providers, particularly in countries such as Australia that are in the process of enhancing nationwide data linkage programs. We sought to investigate the utility of electronic hospital admission data to investigate local trends in medication use, to determine similarities and differences with other Australian studies, and to identify areas for targeted interventions. We performed a retrospective longitudinal analysis using combined data from a hospital admissions administrative dataset from a large tertiary teaching hospital in Adelaide, South Australia and a hospital administrative database documenting medication usage matched for the same set of patients. All adult admissions over a 12-year period, between 1 January 2007 and 31st December 2018, were included in the study population. Medications were categorized into 21 pre-defined drug classes of interest according to the ATC code list 2021. Of the 692,522 total admissions, 300,498 (43.4%) had at least one recorded medication. The overall mean number of medications for patients that were medicated increased steadily from a mean (SD) of 5.93 (4.04) in 2007 to 7.21 (4.98) in 2018. Results varied considerably between age groups, with the older groups increasing more rapidly. Increased medication usage was partly due to increased case-complexity with the mean (SD) Charlson comorbidity index increasing from 0.97 (1.66) in 2007-to-2012 to 1.17 (1.72) in 2013-to-2018 for medicated patients. Of the 21 medication classes, 15 increased ( < 0.005), including antithrombotic agents; OR = 1.18 [1.16-1.21], proton pump inhibitors; OR = 1.14 [1.12-1.17], statins; OR = 1.12; [1.09-1.14], and renin-angiotensin system agents; OR = 1.06 [1.04-1.08], whilst 3 decreased ( < 0.005) including anti-inflammatory drugs (OR = 0.55; 99.5% CI = 0.53-0.58), cardiac glycosides (OR = 0.81; 99.5% CI = 0.78-0.86) and opioids (OR = 0.82; 99.5% CI = 0.79-0.83). The mean number of medications for all admissions increased between 2007 and 2011 and then declined until 2018 for each age group, except for the 18-to-35-year-olds. Increased medication use occurred in most age groups between 2007 and 2011 before declining slightly even after accounting for increased comorbidity burden. The use of electronic hospital admission data can assist with monitoring local medication trends and the effects of initiatives to enhance the quality use of medicines in Australia.

摘要

药物使用情况因处方行为、专业建议和新药引入而有所不同。对药物使用情况进行本地监测,可能有助于了解和比较医疗服务提供者的处方做法,特别是在澳大利亚等正在加强全国数据链接计划的国家。我们试图研究电子医院入院数据在调查本地药物使用趋势、确定与澳大利亚其他研究的异同以及确定有针对性干预领域方面的效用。我们使用来自南澳大利亚阿德莱德一家大型三级教学医院的医院入院管理数据集和记录同一组患者药物使用情况的医院管理数据库的合并数据进行了回顾性纵向分析。研究人群包括2007年1月1日至2018年12月31日这12年期间的所有成年入院患者。根据2021年的ATC代码列表,药物被分为21个预先定义的感兴趣的药物类别。在总共692,522例入院患者中,300,498例(43.4%)至少有一项记录在案的药物治疗。接受药物治疗的患者的药物总体平均数量从2007年的平均(标准差)5.93(4.04)稳步增加到2018年的7.21(4.98)。不同年龄组的结果差异很大,年龄较大的组增长更快。药物使用增加部分是由于病例复杂性增加,接受药物治疗的患者的平均(标准差)查尔森合并症指数从2007年至2012年的0.97(1.66)增加到2013年至2018年的1.17(1.72)。在21种药物类别中,15种增加(<0.005),包括抗血栓药物;比值比=1.18 [1.16 - 1.21],质子泵抑制剂;比值比=1.14 [1.12 - 1.17],他汀类药物;比值比=1.12;[1.09 - 1.14],以及肾素 - 血管紧张素系统药物;比值比=1.06 [1.04 - 1.08],而3种减少(<0.005),包括抗炎药(比值比=0.55;99.5%置信区间=0.53 - 0.58)、强心苷(比值比=0.81;99.5%置信区间=0.78 - 0.86)和阿片类药物(比值比=0.82;99.5%置信区间=0.79 - 0.83)。除18至35岁年龄组外,2007年至2011年期间所有入院患者的药物平均数量增加,然后在2018年之前下降。2 In 2007年至2011年期间,大多数年龄组的药物使用增加,即使在考虑合并症负担增加后仍略有下降。使用电子医院入院数据有助于监测澳大利亚本地药物使用趋势以及提高药物合理使用举措的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50c8/9614045/4df3f97db34d/fphar-13-888677-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验