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Peer-reviewedCC BYAge and ageing

Attitudes of people living with dementia and their carers towards the use of generative artificial intelligence to inform structured medication reviews.

  • Bethany Linder1
  • Jiamin Du2,3,4
  • Nuno Tavares5,6,7
  • Tingting Zhu8
  • Prayag Tiwari9
  • Sundus Jawad1,10
  • Anna E Seeley1
  • Subhashisa Swain1,3,11
  • Jaheeda Gangannagaripalli12,13,14
14 affiliations
  1. 1Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  2. 2Department of Psychiatry, University of Oxford, Oxford, UK.
  3. 3NIHR Applied Research Collaboration Oxford and Thames Valley (NIHR ARC OxTV), Oxford Health NHS Foundation Trust, Oxford, UK.
  4. 4Department of Brain Sciences, Imperial College London, London, UK.
  5. 5School of Health and Care Professions, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK.
  6. 6NIHR ARC Wessex, University of Southampton, Southampton, UK.
  7. 7School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
  8. 8Department of Engineering Science, University of Oxford, Oxford, UK.
  9. 9School of Information Technology, Halmstad University, Halmstad, Sweden.
  10. 10NHS Thames Valley Integrated Care Board, Oxford, UK.
  11. 11School of Medicine, Keele University, Keele, UK.
  12. 12NIHR Applied Research Collaboration Greater Manchester, Manchester, UK.
  13. 13Manchester Academic Health Science Centre, Manchester, UK.
  14. 14Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK.
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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 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: participants' perspectives on meaningful SMRs, and embracing AI while preserving patient safety and the human touch. Participants described challenges in managing polypharmacy, with carers playing a central role in supporting adherence and monitoring side effects. Experiences of SMRs varied. 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 also seen as potentially reducing administrative burden and supporting 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.

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Cite

BibTeXRIS
BibTeX
@article{linder2026attitudes,
  title = {{Attitudes of people living with dementia and their carers towards the use of generative artificial intelligence to inform structured medication reviews.}},
  author = {Bethany Linder and Jiamin Du and Nuno Tavares and Tingting Zhu and Prayag Tiwari and Sundus Jawad and Anna E Seeley and Subhashisa Swain and Jaheeda Gangannagaripalli},
  journal = {Age and ageing},
  year = {2026},
  month = oct,
  doi = {10.1093/ageing/afag320},
  url = {https://europepmc.org/article/MED/42969554},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Attitudes of people living with dementia and their carers towards the use of generative artificial intelligence to inform structured medication reviews.
AU  - Bethany Linder
AU  - Jiamin Du
AU  - Nuno Tavares
AU  - Tingting Zhu
AU  - Prayag Tiwari
AU  - Sundus Jawad
AU  - Anna E Seeley
AU  - Subhashisa Swain
AU  - Jaheeda Gangannagaripalli
PY  - 2026
DA  - 2026/10/01
JO  - Age and ageing
DO  - 10.1093/ageing/afag320
UR  - https://europepmc.org/article/MED/42969554
AB  - 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 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: participants' perspectives on meaningful SMRs, and embracing AI while preserving patient safety and the human touch. Participants described challenges in managing polypharmacy, with carers playing a central role in supporting adherence and monitoring side effects. Experiences of SMRs varied. 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 also seen as potentially reducing administrative burden and supporting 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.
SN  - 0002-0729
SN  - 1468-2834
ER  -