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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.
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http://dx.doi.org/10.1111/bcp.16191 | DOI Listing |
PLoS Med
August 2025
Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom.
Introduction: Patients with cancer are at increased risk of thrombotic complications from both the disease and its treatments, with antithrombotic therapy (ATT) usually continued in the last phase of life where the benefit is less clear and there is high risk of harms. Physiological changes toward the end of life increase the risk that ATT will cause serious bleeding events, but discussion between clinicians and patients of ATT risks and benefits is sub-optimal. This realist synthesis explores shared decision-making (SDM) to: (a) provide insights into why prescribing continues in end-of-life care; (b) build a conceptual platform for optimizing ATT prescribing for persons living with cancer towards end-of-life.
View Article and Find Full Text PDFSleep Sci Pract
July 2025
Department of Medicine, David Geffen School of Medicine at University of California, 10833 Le Conte Ave, Los Angeles, CA 90095 USA.
Background: To determine whether objective markers of sleepiness can be collected passively using voice data to detect sleepiness in individuals undergoing testing in situations where sleepiness is not the focal point of assessment. We assessed verbal reaction time (VRT) as a vocalic marker of subjective sleepiness in middle aged and older adults with history of insomnia and benzodiazepine-receptor-agonist (BZRA) use.
Methods: Adults aged ≥55 without a diagnosis of dementia were recruited from a BZRA deprescribing clinical trial and enrolled in the present study that tested the feasibility of cognitive testing using out-of-office, self-directed mobile apps.
BMC Digit Health
July 2025
University of California, Los Angeles, CA USA.
Background: Older adults with insomnia who use benzodiazepine receptor agonists (BZAs) may be at increased risk of cognitive impairment. Cognitive testing outside of clinical settings may yield results that are more reflective of individuals' cognition in their natural environment, where they experience fluctuations in mental state (e.g.
View Article and Find Full Text PDFExpert Rev Clin Pharmacol
June 2025
College of Pharmacy, Al Ain University, Abu Dhabi, United Arab Emirates.
Introduction: Deprescribing is crucial for improving patient safety since polypharmacy in older adults raises the likelihood of negative health outcomes. Artificial intelligence (AI) role in deprescribing has been rarely addressed.
Areas Covered: This review looks at how AI techniques are now affecting evidence-based deprescribing for older patients.
Br J Clin Pharmacol
January 2025
Centre for Education and Research on Ageing, Concord Hospital, Concord, Sydney, Australia.
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.
View Article and Find Full Text PDF