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应用商店中用于减药的移动应用程序:一项范围综述。

Mobile applications on app stores for deprescribing: A scoping review.

作者信息

Okati Lina, Lo Sarita, Gnjidic Danijela, Li Susan Jiayu, Thillainadesan Janani

机构信息

School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Camperdown, Sydney, Australia.

Centre for Education and Research on Ageing, Concord Hospital, Concord, Sydney, Australia.

出版信息

Br J Clin Pharmacol. 2025 Jan;91(1):55-65. doi: 10.1111/bcp.16191. Epub 2024 Aug 4.

Abstract

Deprescribing is an evidence-based intervention to reduce potentially inappropriate medication use. Yet its implementation faces barriers including inadequate resources, training and time. Mobile applications (apps) on app stores could address some barriers by offering educational content and interactive features for medication assessment and deprescribing guidance. A scoping review was undertaken to examine existing deprescribing apps, identifying features including interactive and artificial intelligence (AI) elements. A comprehensive search was conducted in August 2023 to identify mobile apps with deprescribing content within the Apple and Google Play Stores. The apps found were screened for inclusion, and data on their features were extracted. Quality assessment was undertaken using the Mobile App Rating Scale. Six deprescribing-related apps were identified: the American Geriatrics Society Beers Criteria 2023, Dementia Training Australia Medications, Evidence-Based Medicine Guide, Information Assessment Method Medical Guidelines, MedGPT-Medical AI App, and Polypharmacy: Manage Medicines. These apps focused primarily on educating both patients/carers and healthcare professionals about deprescribing. Amongst them, two apps included interactive features, with one incorporating AI technology. While these features allowed for search queries and input of patient-level details, the apps provided limited personalised deprescribing advice. In terms of quality, the apps scored highly on functionality and information, and poorly on engagement and aesthetics. This review found deprescribing apps, despite being educational, have limitations in personalization and user engagement. Future research should prioritize evaluating their feasibility and user experience in clinical settings, and further explore how AI and interactivity could enhance the usefulness of these apps for deprescribing practices.

摘要

减药是一种基于证据的干预措施,旨在减少潜在的不适当用药。然而,其实施面临诸多障碍,包括资源不足、培训缺乏和时间有限。应用商店中的移动应用程序(应用)可以通过提供教育内容以及用于药物评估和减药指导的交互功能来克服一些障碍。本研究进行了一项范围综述,以检查现有的减药应用,识别包括交互和人工智能(AI)元素在内的功能。2023年8月进行了全面搜索,以识别苹果应用商店和谷歌Play商店中具有减药内容的移动应用。对找到的应用进行筛选以确定是否纳入,并提取其功能数据。使用移动应用评分量表进行质量评估。共识别出六个与减药相关的应用:《美国老年医学会2023年Beers标准》、《澳大利亚痴呆症培训用药》、《循证医学指南》、《信息评估方法医学指南》、《MedGPT - 医学人工智能应用》和《多重用药:管理药物》。这些应用主要侧重于对患者/护理人员和医疗保健专业人员进行减药教育。其中,有两个应用具有交互功能,其中一个应用整合了人工智能技术。虽然这些功能允许进行搜索查询并输入患者层面的详细信息,但这些应用提供的个性化减药建议有限。在质量方面,这些应用在功能和信息方面得分较高,而在参与度和美观性方面得分较低。本综述发现,减药应用尽管具有教育意义,但在个性化和用户参与度方面存在局限性。未来的研究应优先评估其在临床环境中的可行性和用户体验,并进一步探索人工智能和交互性如何提高这些应用在减药实践中的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56d3/11671330/6c83ab897404/BCP-91-55-g001.jpg

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