Evidence map›Paper›PMID 34081019›Full record

SynthesisJournal of medical Internet research2021

Chatbots to Support People With Dementia and Their Caregivers: Systematic Review of Functions and Quality.

Nicole Ruggiano, Ellen L Brown, Lisa Roberts, C Victoria Framil Suarez, Yan Luo, Zhichao Hao, Vagelis Hristidis

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
–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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Case Reports in the Integration of Technology with Cognitive Rehabilitation for Individuals with Memory Concerns and Their Care Partners.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
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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

7 authors.

Nicole Ruggiano *School of Social Work, University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0002-2398-7077
Ellen L Brown *Graduate Nursing Department, Nicole Wertheim College of Nursing and Health Sciences, Florida International University, Miami, FL, United States.ORCID 0000-0002-2418-3257
Lisa Roberts *Department of Physical Therapy, Nicole Wertheim College of Nursing and Health Sciences, Florida International University, Miami, FL, United States.ORCID 0000-0003-4059-0810
C Victoria Framil Suarez *Department of Nursing, Nicole Wertheim College of Nursing and Health Sciences, Florida International University, Miami, FL, United States.ORCID 0000-0002-0756-1287
Yan Luo *School of Social Work, University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0003-0338-0371
Zhichao Hao *School of Social Work, University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0002-1636-5245
Vagelis Hristidis *Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, United States.ORCID 0000-0001-8679-4988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decade, there has been an increase in the use of information technologies to educate and support people with dementia and their family caregivers. At the same time, chatbot technologies have become increasingly popular for use by the public and have been identified as having benefits for health care delivery. However, little is known about how chatbot technologies may benefit people with dementia and their caregivers.

objectiveThis study aims to identify the types of current commercially available chatbots that are designed for use by people with dementia and their caregivers and to assess their quality in terms of features and content.

methodsChatbots were identified through a systematic search on Google Play Store, Apple App Store, Alexa Skills, and the internet. An evidence-based assessment tool was used to evaluate the features and content of the identified apps. The assessment was conducted through interrater agreement among 4 separate reviewers.

resultsOf the 505 initial chatbots identified, 6 were included in the review. The chatbots assessed varied significantly in terms of content and scope. Although the chatbots were generally found to be easy to use, some limitations were noted regarding their performance and programmed content for dialog.

conclusionsAlthough chatbot technologies are well established and commonly used by the public, their development for people with dementia and their caregivers is in its infancy. Given the successful use of chatbots in other health care settings and for other applications, there are opportunities to integrate this technology into dementia care. However, more evidence-based chatbots that have undergone end user evaluation are needed to evaluate their potential to adequately educate and support these populations.

Indexed as

DementiaMobile ApplicationsCaregiversDelivery of Health CareHumanscaregiverschatbotsconversation agentsdementiamobile appsmobile phone

Identifiers

PMID34081019
PMCPMC8212632

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.