ArticlePloS one2026
Family and informal caregivers' acceptance, concerns and expectations regarding artificial intelligence-enabled dementia care: a protocol for qualitative evidence synthesis.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionArtificial intelligence (AI) is increasingly being integrated into dementia care to support assessment, monitoring, decision-making and personalized care. However, the successful implementation of AI-enabled dementia care depends not only on technological capabilities but also on the acceptance, trust and engagement of family and informal caregivers. Existing qualitative evidence remains fragmented and has not comprehensively synthesized caregivers' perspectives regarding AI-enabled dementia care. This qualitative evidence synthesis aims to address this gap by exploring caregivers' acceptance, concerns and expectations. METHODS AND ANALYSIS: This qualitative evidence synthesis will be conducted in accordance with the Joanna Briggs Institute (JBI) methodology for qualitative systematic reviews and reported following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. Studies will be identified through systematic searches of PubMed, Embase, CINAHL, PsycINFO and Web of Science from database inception to December 2026. Qualitative and mixed-methods studies exploring family and informal caregivers' perspectives, experiences, acceptance, concerns or expectations regarding AI-enabled dementia care will be included. Study selection and methodological quality appraisal using the JBI Critical Appraisal Checklist for Qualitative Research will be conducted independently by two reviewers. Data will be extracted using a predefined form and synthesized using Thomas and Harden's thematic synthesis approach. Confidence in the review findings will be assessed using the Grading of Recommendations Assessment, Development and Evaluation-Confidence in the Evidence from Reviews of Qualitative Research (GRADE-CERQual) approach. ETHICS AND DISSEMINATION: Ethical approval is not required. Findings will be disseminated through peer-reviewed publication.
trial registrationPROSPERO registration number: CRD420261470957.
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