{
  "abstract": "Background\n\nPolypharmacy 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\n\nSemi-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\n\nTwo 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\n\nParticipants 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.",
  "abstract_shown": true,
  "affiliations": [
    "Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.",
    "Department of Psychiatry, University of Oxford, Oxford, UK.",
    "NIHR Applied Research Collaboration Oxford and Thames Valley (NIHR ARC OxTV), Oxford Health NHS Foundation Trust, Oxford, UK.",
    "Department of Brain Sciences, Imperial College London, London, UK.",
    "School of Health and Care Professions, Faculty of Science and Health, University of Portsmouth, Portsmouth, UK.",
    "NIHR ARC Wessex, University of Southampton, Southampton, UK.",
    "School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.",
    "Department of Engineering Science, University of Oxford, Oxford, UK.",
    "School of Information Technology, Halmstad University, Halmstad, Sweden.",
    "NHS Thames Valley Integrated Care Board, Oxford, UK.",
    "School of Medicine, Keele University, Keele, UK.",
    "NIHR Applied Research Collaboration Greater Manchester, Manchester, UK.",
    "Manchester Academic Health Science Centre, Manchester, UK.",
    "Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Bethany Linder"
    },
    {
      "affs": [
        1,
        2,
        3
      ],
      "name": "Jiamin Du",
      "orcid": "0000-0002-5968-3120"
    },
    {
      "affs": [
        4,
        5,
        6
      ],
      "name": "Nuno Tavares"
    },
    {
      "affs": [
        7
      ],
      "name": "Tingting Zhu"
    },
    {
      "affs": [
        8
      ],
      "name": "Prayag Tiwari"
    },
    {
      "affs": [
        0,
        9
      ],
      "name": "Sundus Jawad"
    },
    {
      "affs": [
        0
      ],
      "name": "Anna E Seeley"
    },
    {
      "affs": [
        0,
        2,
        10
      ],
      "name": "Subhashisa Swain",
      "orcid": "0000-0001-9207-1065"
    },
    {
      "affs": [
        11,
        12,
        13
      ],
      "name": "Jaheeda Gangannagaripalli"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bc9e1s7g53ebd.bib",
  "cited_by": 0,
  "doi": "10.1093/ageing/afag320",
  "fulltext_url": "https://europepmc.org/articles/PMC13725756",
  "id": "bc9e1s7g53ebd",
  "issns": [
    "0002-0729",
    "1468-2834"
  ],
  "landing_url": "https://europepmc.org/article/MED/42969554",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "AcademicSubjects/MED00280"
    ],
    [
      "heading",
      "Qualitative Paper"
    ],
    [
      "heading",
      "ageing/15"
    ],
    [
      "heading",
      "ageing/17"
    ],
    [
      "heading",
      "ageing/7"
    ],
    [
      "openalex",
      "2717|Pharmaceutical Practices and Patient Outcomes"
    ]
  ],
  "openalex": "W7167028431",
  "pdf_url": "https://europepmc.org/articles/PMC13725756?pdf=render",
  "pmcid": "PMC13725756",
  "pmid": "42969554",
  "published": "2026-10-01",
  "publisher": "Oxford University Press",
  "ris": "https://research.draconitic.com/paper/bc9e1s7g53ebd.ris",
  "sources": [
    {
      "first_seen": "2026-11-03T15:20:53Z",
      "native_id": "MED:42969554",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42969554"
    },
    {
      "first_seen": "2026-11-05T12:22:14Z",
      "native_id": "PMC13725756",
      "source": "pmc",
      "url": "https://doi.org/10.1093/ageing/afag320"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2717|Pharmaceutical Practices and Patient Outcomes",
      "subfield": "general"
    }
  ],
  "title": "Attitudes of people living with dementia and their carers towards the use of generative artificial intelligence to inform structured medication reviews.",
  "title_text": "Attitudes of people living with dementia and their carers towards the use of generative artificial intelligence to inform structured medication reviews.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-05T12:22:14Z",
  "url": "https://research.draconitic.com/paper/bc9e1s7g53ebd",
  "venue": "Age and ageing",
  "versions": []
}