利用社区电子药房记录开发虚弱筛查工具。

IF 3.4 3区 医学 Q2 GERIATRICS & GERONTOLOGY
Drugs & Aging Pub Date : 2024-12-01 Epub Date: 2024-11-23 DOI:10.1007/s40266-024-01160-7
Marie Carrein, Els Mehuys, Lies Lahousse, Mirko Petrovic, Ellen Van Leeuwen, Inge Van Tongelen, Eline Tommelein, Koen Boussery
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引用次数: 0

摘要

背景:身体虚弱与更容易受到药物相关伤害有关,这凸显了对身体虚弱的老年人进行用药检查的重要性。社区药剂师越来越多地参与到药物审查的启动过程中。然而,目前的虚弱程度测量方法在这种情况下并不实用。我们需要利用日常收集的数据来开发其他方法:利用常规电子药房记录开发虚弱筛查工具:方法:在 196 家比利时社区药房招募了社区居住的老年人(≥ 70 岁),他们使用的慢性药物≥ 5 种。采用 SHARE-FI75+(基于弗里德的虚弱表型)对虚弱程度进行评估。模型的建立基于两阶段的方法,即使用多变量逻辑回归和分割样本内部验证。第一阶段只考虑了电子药房记录变量,而第二阶段还包括了社区药房容易收集到的其他变量。对模型的辨别、校准和预测准确性进行了评估:我们招募了 875 名参与者[平均 ± 标准差 (SD) 年龄为 79.3 ± 5.9 岁],其中 14.8% 的参与者被确定为体弱者。在第一阶段,虚弱筛查模型包括年龄、性别、医疗费用报销水平、慢性药物数量和药物引起的合并症(焦虑、充血性心力衰竭、高血压)[接收者操作特征曲线下面积(AUC)为 0.77,95% 置信区间(CI)为 0.69-0.85;灵敏度为 78.0%;特异度为 60.1%]。在第二阶段,关于基本日常生活困难的附加信息或药剂师的直观虚弱评估进一步改善了模型(AUC 0.81,95% CI 0.74-0.88 和 AUC 0.82,95% CI 0.75-0.89):我们利用电子药房记录数据开发了一种虚弱筛查工具。结论:我们利用电子药房记录中的数据开发了一种虚弱筛查工具,该工具为社区药房提供了进行虚弱筛查的机会,并能识别出可能从药物审查中获益最多的人群。需要进行外部验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Frailty Screening Tool Using Electronic Community Pharmacy Records.

Background: Frailty is associated with increased susceptibility to medication-related harm, highlighting the importance of medication review for frail older adults. Community pharmacists are increasingly involved in the initiation of medication reviews. Yet, current frailty measurement methods are impractical in this setting. Alternative approaches, leveraging routinely collected data, are needed.

Objective: To develop a frailty screening tool utilising routine electronic pharmacy records.

Methods: Community-dwelling older adults (≥ 70 years) using ≥ 5 chronic medications were recruited in 196 Belgian community pharmacies. Frailty was assessed using SHARE-FI75+ (based on Fried's frailty phenotype). Model development was on the basis of a two-stage approach using multivariable logistic regression with split-sample internal validation. Stage 1 considered only electronic pharmacy record variables, while stage 2 also included other variables that can easily be collected in the community pharmacy. Model performance was evaluated for discrimination, calibration and predictive accuracy.

Results: We recruited 875 participants [mean ± standard deviation (SD) age 79.3 ± 5.9 years], with 14.8% identified as frail. At stage 1, the frailty screening model included age, sex, reimbursement level of medical expenses, number of chronic medications and medication-derived comorbidities (anxiety, congestive heart failure, hypertension) [area under the receiver operating characteristic curve (AUC) 0.77, 95% confidence interval (CI) 0.69-0.85; sensitivity 78.0%; specificity 60.1%]. At stage 2, additional information on difficulties with basic activities of daily living or pharmacist's intuitive frailty assessment further improved the model (AUC 0.81, 95% CI 0.74-0.88 and AUC 0.82, 95% CI 0.75-0.89, respectively).

Conclusions: We developed a screening tool for frailty using data from electronic pharmacy records. This tool offers the opportunity for frailty screening in community pharmacy and to identify individuals that may benefit the most from medication review. External validation is warranted.

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来源期刊
Drugs & Aging
Drugs & Aging 医学-老年医学
CiteScore
5.50
自引率
7.10%
发文量
68
审稿时长
6-12 weeks
期刊介绍: Drugs & Aging delivers essential information on the most important aspects of drug therapy to professionals involved in the care of the elderly. The journal addresses in a timely way the major issues relating to drug therapy in older adults including: the management of specific diseases, particularly those associated with aging, age-related physiological changes impacting drug therapy, drug utilization and prescribing in the elderly, polypharmacy and drug interactions.
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