The Impact of Customized Screening Intervals on the Burden of Drug-Drug Interaction Alerts: An Interrupted Time Series Analysis.

IF 3.5 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Journal of Medical Systems Pub Date : 2024-09-30 DOI:10.1007/s10916-024-02113-8

Greet Van De Sijpe, Karolien Walgraeve, Eva Van Laer, Charlotte Quintens, Christophe Machiels, Veerle Foulon, Minne Casteels, Lorenz Van der Linden, Isabel Spriet

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引用次数: 0

Abstract

Fixed and broad screening intervals for drug-drug interaction (DDI) alerts lead to false positive alerts, thereby contributing to alert fatigue among healthcare professionals. Hence, we aimed to investigate the impact of customized screening intervals on the daily incidence of DDI alerts. An interrupted time series analysis was performed at the University Hospitals Leuven to evaluate the impact of a pragmatic intervention on the daily incidence of DDI alerts per 100 prescriptions. The study period encompassed 100 randomly selected days between April 2021 and December 2022. Preceding the intervention, a fixed and broad screening interval of 7 days before and after prescribing an interacting drug was applied. The intervention involved implementing customized screening intervals for a subset of highly prevalent or clinically relevant DDIs into the hospital information system. Additionally, the sensitivity of the tailored approach was evaluated. During the study period, a mean of 5731 (± 2909) new prescriptions per day was generated. The daily incidence of DDI alerts significantly decreased from 9.8% (95% confidence interval (CI) 8.4;11.1) before the intervention, to 6.3% (95% CI 5.4;7.2) afterwards, p < 0.0001. This corresponded to avoiding 201 (0.035*5731) false positive DDI alerts per day. Sensitivity was not compromised by our intervention. Defining and implementing customized screening intervals was feasible and effective in reducing the DDI alert burden without compromising sensitivity.

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定制筛查间隔对药物相互作用警报负担的影响：间断时间序列分析

固定而宽泛的药物相互作用（DDI）警报筛选间隔会导致假阳性警报，从而造成医疗保健专业人员的警报疲劳。因此，我们旨在研究定制筛选间隔对每日 DDI 警报发生率的影响。我们在鲁汶大学医院进行了一项间断时间序列分析，以评估一项实用干预措施对每 100 张处方中每日 DDI 警报发生率的影响。研究期间包括 2021 年 4 月至 2022 年 12 月期间随机选择的 100 天。在采取干预措施之前，在开具相互作用药物处方前后的 7 天内采用了固定且宽泛的筛查间隔。干预措施包括在医院信息系统中针对高发或临床相关的 DDIs 子集实施定制筛查间隔。此外，还对定制方法的敏感性进行了评估。在研究期间，平均每天产生 5731（± 2909）张新处方。DDI 警报的日发生率从干预前的 9.8%（95% 置信区间 (CI) 8.4;11.1）显著下降到干预后的 6.3%（95% 置信区间 (CI) 5.4;7.2），P＜0.05。

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来源期刊

Journal of Medical Systems 医学-卫生保健

CiteScore

11.60

自引率

1.90%

发文量

审稿时长

4.8 months

期刊介绍： Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.