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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
  • , Annabel Ditton
  • , Thomas Engelsma
  • , Rikke Gregersen
  • , Pascale Heins
  • , Eef Hogervorst
  • , Aysegul Humeyra Kafadar
  • , Jackie Poos
  • , Louise Robinson
  • , Duygu Sezgin
  • , Hanneke Ja Smaling
  • Dorota Szczesniak, Josephine Rose Orejana Tan, Marjolein de Vugt, Franka Jm Meiland
*Corresponding author for this work
  • Department of Medical Physics and Informatics
  • University of Nottingham Innovation Park
  • University of East Anglia
  • University of Worcester
  • University of Exeter
  • University of Copenhagen
  • Department of Information Science and Technology
  • Northumbria University
  • University of Oxford
  • eHealth Living & Learning Lab Amsterdam
  • VIA University College
  • Maastricht University
  • Loughborough University
  • University of Nottingham
  • Newcastle University
  • University of Galway
  • Leiden University Medical Centre
  • Wrocław Medical University
  • Amsterdam Public Health Research Institute
  • Department of Medicine for Older People

Research output: Contribution to journal › Review article › Academic › peer-review

7 Citations (Web of Science)
4 Downloads (Pure)

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.

Original languageEnglish
Article number20552076251362353
JournalDigital Health
Volume11
DOIs
Publication statusE-pub ahead of print - 3 Aug 2025

Bibliographical note

© The Author(s) 2025.

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