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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
  • Department of Medical Informatics
  • The Netherlands
  • NIHR MindTech HealthTech Research Centre & Centre for Dementia
  • Institute of Mental Health
  • University of Nottingham Innovation Park
  • Human Factors Research Group
  • Faculty of Engineering
  • University of Nottingham
  • Greenhills School of Health Sciences
  • Faculty of Medicine and Health Sciences
  • University of East Anglia
  • The Association for Dementia Studies
  • University of Worcester
  • NIHR HealthTech Research Centre in Sustainable Innovation
  • University of Exeter
  • NIHR HealthTech Research Centre National Coordinating Centre
  • University of Sheffield
  • Departments of Pediatrics and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Medical School
  • Department of Psychology
  • University of Copenhagen
  • Department of Information Science and Technology
  • Instituto Universitário de Lisboa (ISCTE-IUL)
  • Instituto de Telecomunicações
  • Lisboa
  • Faculty of Health, Medicine and Life Sciences
  • Northumbria University
  • Department of Psychiatry
  • University of Oxford
  • eHealth Living & Learning Lab Amsterdam
  • Research Centre for Activity and Prevention
  • VIA University College
  • Alzheimer Centrum Limburg
  • Department of Psychiatry and Neuropsychology
  • Maastricht University
  • School of Sports, Exercise and Health Sciences, University of Loughborough, Loughborough, UK.
  • Loughborough University
  • Academic Unit of Mental Health and Clinical Neuroscience
  • School of Medicine
  • Alzheimercenter Erasmus MC
  • Department of Neurology
  • Erasmus MC University Medical Center
  • Institute of Population Health Sciences, Miaoli, Taiwan
  • Faculty of Medicine
  • Newcastle University
  • School of Nursing and Midwifery, Galway, Ireland
  • University of Galway
  • Department of Public Health and Primary Care, Netherlands
  • Leiden University Medical Center
  • University Network for the Care Sector Zuid Holland
  • Wroclaw Medical University
  • Amsterdam Public Health Research Institute
  • Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.

Research output: Contribution to journalReview articleAcademicpeer-review

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
Pages (from-to)20552076251362353
JournalDigital health
Volume11
DOIs
Publication statusPublished - 2025

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