Attitudes of People Living with Dementia and their Carers towards the use of Generative Artificial Intelligence to inform Structured Medication Reviews

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Background

Polypharmacy is common in people living with dementia (PLwD) and associated with adverse outcomes. Although Structured Medication Reviews (SMRs) are recommended to optimise medication regimens, their delivery is often constrained by limited healthcare resources. Artificial intelligence (AI) may support SMRs, yet little is known about how it is perceived by PLwD and their carers. This study explored their experiences of polypharmacy, views on SMRs, and attitudes towards use of AI tools in SMRs.

Methods

Semi-structured interviews with 12 PLwD experiencing polypharmacy and two focus groups with 14 carers were conducted via Microsoft Teams or telephone and analysed using Reflexive Thematic Analysis.

Results

Two themes were constructed: experiences of SMRs, and attitudes towards AI in SMRs. Participants described challenges in managing polypharmacy, with carers often playing a central role in supporting adherence and monitoring side effects. Experiences of SMRs varied widely. SMRs were most valued when clinicians were empathetic and able to offer personalised guidance. Participants viewed AI use in SMRs positively, provided that such tools were well validated and used to assist rather than replace healthcare professionals. AI was viewed as having the potential to reduce administrative burden and support more person-centred care. However, some had concerns regarding patient safety and data security, highlighting the need for appropriate regulation and human oversight.

Conclusion

Participants were supportive of AI use in SMRs, despite concerns about safety, data security and disclosure of AI use, and emphasised the importance of patient–clinician interactions and lived experience involvement in AI tool development.

Article activity feed