Evidence map›Paper›PMID 42262014›Full record

ArticleJMIR research protocols2026

Evolution of Chatbots as an Educational and Supportive Digital Intervention for Family Caregivers of People With Dementia: Protocol for a Systematic Integrative Review.

Sarath Rathnayake, Ana Barbosa, Jiada Tu, Rebecca Randell

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sarath RathnayakeCentre for Digital Innovations in Health and Social Care, University of Bradford, Bradford, West Yorkshire, United Kingdom.ORCID 0000-0003-2379-1610
Ana BarbosaCentre for Digital Innovations in Health and Social Care, University of Bradford, Bradford, West Yorkshire, United Kingdom.ORCID 0000-0001-9644-8237
Jiada TuCentre for Digital Innovations in Health and Social Care, University of Bradford, Bradford, West Yorkshire, United Kingdom.ORCID 0000-0002-8300-4861
Rebecca RandellCentre for Digital Innovations in Health and Social Care, University of Bradford, Bradford, West Yorkshire, United Kingdom.ORCID 0000-0002-5856-4912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost people with dementia reside in the community and are cared for by family members. Family caregivers play an essential role in supporting their loved ones with dementia and require adequate education and support to address their care needs. In recent years, there has been growing interest in the use of chatbot technologies in health care, particularly to provide education and support for caregivers. However, evidence on the development, use, and effectiveness of these technologies in dementia care remains limited.

objectiveThis systematic integrative review aims to synthesize evidence on chatbot applications as an educational and supportive tool for family caregivers of people with dementia.

methodsA systematic integrative literature review will be conducted following a validated framework. The findings will be reported in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The search strategy will be structured around 3 broad concepts: "dementia," "caregiver," and "chatbot applications." Full-text articles based on empirical studies published in English from inception to 2026 that address the design, development, or evaluation of chatbot applications for family caregivers of people with dementia will be included. Editorials, study protocols, review articles, opinion and perspective papers, technical notes, and non-English publications will be excluded. Covidence software will be used to manage study screening. At least 2 independent reviewers will screen titles, abstracts, and full texts and extract data using a pretested data extraction form. Methodological quality will be assessed using Mixed Methods Appraisal Tool (version 2018), and data relevance will be evaluated using a 2-point scale (high or low).

resultsThe literature search will commence in May 2026, and the findings are expected to be published as a systematic integrative review, with submission planned for January 2027.

conclusionsThis systematic integrative review aims to synthesize evidence from qualitative, quantitative, and mixed methods studies to provide a comprehensive understanding of how chatbot interventions are conceptualized, developed, and evaluated within dementia caregiving contexts. In addition, this review will identify key barriers and challenges as well as ethical and safety concerns associated with the design, development, and implementation of chatbot applications for family caregivers of people with dementia.

trial registrationPROSPERO CRD420261288076; https://www.crd.york.ac.uk/PROSPERO/view/CRD420261288076. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/91741.

Indexed as

CaregiversDementiaHumansSystematic Reviews as TopicAIartificial intelligencechatbotconversational agentdementiaeducationfamily caregiversintegrative reviewsupport

Identifiers

PMID42262014
PMCPMC13291734

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.