Evidence map›Paper›PMID 40761778›Full record

ReviewDigital health

Digital assistive technologies for community-dwelling people with dementia: A systematic review of systematic reviews by the INTERDEM AI & assistive technology taskforce.

David Neal, Michael P Craven, Jane Cross, Shirley Evans, Christopher Fox, Laila Oksnebjerg, Isabel Alexandre, Aidin Aryankhesal, Arlene Astell, Ahmet Begde and 14 more

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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

24 authors.

David NealDepartment of Medical Informatics, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-7916-3299
Michael P CravenNIHR MindTech HealthTech Research Centre & Centre for Dementia, Institute of Mental Health, University of Nottingham Innovation Park, Nottingham UK.ORCID https://orcid.org/0000-0001-5682-6360
Jane CrossSchool of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK.ORCID https://orcid.org/0000-0002-7003-1916
Shirley EvansThe Association for Dementia Studies, University of Worcester, Worcester UK.
Christopher FoxNIHR HealthTech Research Centre in Sustainable Innovation, University of Exeter, Exeter, UK.
Laila OksnebjergDepartment of Psychology, University of Copenhagen, Copenhagen, Denmark.
Isabel AlexandreDepartment of Information Science and Technology, Instituto Universitário de Lisboa (ISCTE-IUL), Lisboa, Portugal.
Aidin AryankhesalSchool of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK.ORCID https://orcid.org/0000-0002-6695-227X
Arlene AstellPsychology Department, Faculty of Health & Life Sciences, Northumbria University, Newcastle upon Tyne, UK.
Ahmet BegdeDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-0825-1088
Annabel DittonSchool of Health and Community Sciences, Medical School, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0001-5654-809X
Thomas EngelsmaeHealth Living & Learning Lab Amsterdam, Department of Medical Informatics, Amsterdam UMC, Amsterdam, The Netherlands.
Rikke GregersenResearch Centre for Activity and Prevention, VIA University College, Aarhus N, Denmark.
Pascale HeinsAlzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands.
Eef HogervorstSchool of Sports Exercise and Health Sciences, Loughborough University, Epinal Way, Loughborough, UK.
Aysegul Humeyra KafadarAcademic Unit of Mental Health and Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0001-6154-6152
Jackie PoosAlzheimercenter Erasmus MC, Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Louise RobinsonPopulation Health Sciences Institute, Faculty of Medicine, Newcastle University, Newcastle upon Tyne, UK.
Duygu SezginSchool of Nursing and Midwifery, University of Galway, Galway, Ireland.
Hanneke Ja SmalingDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-7836-431X
Dorota SzczesniakDepartment of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
Josephine Rose Orejana TanDepartment of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, location Vrije Universiteit, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4121-3523
Marjolein de VugtAlzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neurosciences Research Institute, Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Franka Jm MeilandDepartment of Medicine for Older People, Amsterdam UMC, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of digital assistive technologies by and for people living with dementia is promising for supporting social health and advocated as a partial solution to growing prevalence worldwide. A state-of-the-art position paper published in 2017 identified challenges regarding digital assistive technologies, around five themes: development, usability, (cost-)effectiveness, implementation and ethics. This systematic review summarizes progress on the challenges found in 2017, and persisting or emerging challenges. Methods: A systematic review of systematic reviews was conducted, focused on studies published after 2016. The inclusion criteria required that the target group included, at least in part, people with dementia living in the community and that the technologies aimed to support social health. For the five themes, literature searches were conducted in Medline, CINAHL, PsycINFO, and Embase databases. Results: A total of 112 reviews were included, covering various applications such as smart homes, care robots, exergaming and everyday technologies. No applications of artificial intelligence were included. The challenges included personalization of applications (development); limited use of standardized methods (usability); insufficient quantity and quality of randomized controlled trials (cost-effectiveness); overly high expectations of assistive technologies (implementation); and the need for more equitable access to technologies (ethics). Conclusion: Much research has been conducted since the 2017 state of the art position paper. While some challenges identified at that time remain relevant, others have been addressed, and new challenges have emerged. Future research should prioritize emerging artificial intelligence applications; the development of integrated assistive technologies; evaluation using robust methods and meaningful outcomes; and the promotion of more accessible and inclusive technologies.

Indexed as

artificial intelligenceassistive technologycost-effectivenessDementiadevelopmentdigital healthethicsimplementationsystematic reviewusability

Identifiers

PMID40761778
PMCPMC12319280

What OpenQuestion holds

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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.