Scoping review of AI–chatbots to support family caregivers.

Background and Objectives Family caregivers face elevated risks for mental and physical health issues but have difficulty accessing informational and supportive resources. Chat-based artificial intelligence (AI) tools, such as chatbots using large language models (LLMs), may offer scalable, personal...

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Publicado en:Gerontologist Vol. 66; no. 7; pp. 1 - 27
Autores principales: Gallagher, Virginia, Sheehan, Christina, Ahmad, Abeera, Ansari, Shahina Mohd Azam, Arp, Anna, Bell, Sophie, Brown, Donald, Cruise, Allison, Greth, Zach, Greer, Sarah Rodock
Formato: Artículo
Publicado: Oxford University Press / USA Jul2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2026
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        10.1093/geront/gnag028
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          Gallagher, Virginia
          Sheehan, Christina
          Ahmad, Abeera
          Ansari, Shahina Mohd Azam
          Arp, Anna
          Bell, Sophie
          Brown, Donald
          Cruise, Allison
          Greth, Zach
          Greer, Sarah Rodock
        affil:
          Department of Neurology, University of Virginia, Charlottesville, Virginia, United States
          Brain Institute, University of Virginia, Charlottesville, Virginia, United States
          School of Data Science, University of Virginia, Charlottesville, Virginia, United States
          College of Arts & Sciences, University of Virginia, Charlottesville, Virginia, United States
          Health Sciences Library, University of Virginia, Charlottesville, Virginia, United States
      su:
        Artificial intelligence
        Caregivers
        Communication
        Psychology of caregivers
        Health education
        Social support
        Medical information storage & retrieval systems
        Health information services
        CINAHL database
        Clinical decision support systems
        Services for caregivers
        Systematic reviews
        MEDLINE
        Online information services
        Individualized medicine
        Chatbots
        Caregiver attitudes
      sug:
        subj:
          Artificial intelligence
          Caregivers
          Communication
          Psychology of caregivers
          Health education
          Social support
          Other Individual and Family Services
          Medical information storage & retrieval systems
          Health information services
          CINAHL database
          Clinical decision support systems
          Services for caregivers
          Systematic reviews
          MEDLINE
          Online information services
          Individualized medicine
          Chatbots
          Caregiver attitudes
      keyword:
        Care partner
        caregivers
        Caregiving
        Chatbot
        chatbots
        ChatGPT
        copyrightHolder:The Gerontological Society of America
        copyrightYear:2026
        https://dx.doi.org/10.1093/geront/gnag028
        inLanguage:en
        LLM
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/41849436/
        Care partner
        caregivers
        Caregiving
        Chatbot
        chatbots
        ChatGPT
        copyrightHolder:The Gerontological Society of America
        copyrightYear:2026
        https://dx.doi.org/10.1093/geront/gnag028
        inLanguage:en
        LLM
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/41849436/
      ab: Background and Objectives Family caregivers face elevated risks for mental and physical health issues but have difficulty accessing informational and supportive resources. Chat-based artificial intelligence (AI) tools, such as chatbots using large language models (LLMs), may offer scalable, personalized support. This scoping review maps the existing literature on chatbots for family caregivers. Research Design and Methods Following our preregistered protocol and following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, we searched PubMed, Embase, Web of Science, and CINAHL (January–February 2025) for English-language, peer-reviewed articles on AI/chatbots and caregivers. Eligibility included any article on the use of a chatbot in the caregiving context. Screening and data extraction were performed in duplicate using Covidence. Articles were charted by article type ((1) existing chatbots [e.g. ChatGPT] applied to caregiving context; (2) new chatbots developed for caregiving context; (3) "other" article types) and synthesized narratively. Results Of 505 records screened, 30 met inclusion criteria. Seventeen evaluated existing chatbots (primarily ChatGPT), nine described development of new chatbots, and four were commentaries, reviews, or qualitative studies. Most focused on dementia or cancer caregiving. The majority of new or existing chatbot articles focused on provision of informational support, and less often on emotional support or local resources. Chatbot evaluations were typically conducted by experts assessing response accuracy and readability; few reported evaluations by caregivers. Discussion and Implications Evidence suggests that chatbots provide largely accurate, accessible caregiving-related information, though findings for emotional support and safety were limited and mixed. Research remains early-stage, with no randomized controlled trials.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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