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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Digital health tools

Topic: Risk, prevention and care in population studies

Smart mobile and wearable technology offers exciting opportunities to support people with dementia (PwD). Its ubiquity and popularity could even benefit user adoption - a great challenge for assistive technology (AT) for PwD that calls for user-centred design (UCD) methods. This study describes a user-centred approach to developing and testing AT based on off-the-shelf pervasive technologies. A prototype is created by combining a smartphone, smartwatch and various applications to offer six support features. This is tested among five end-users (PwD) and their caregivers. Controlled usability testing was followed by field testing in a real-world context. Data is gathered from video recordings, interaction logs, system usability scale questionnaires, logbooks, application usage logs and interviews structured on the unified theory of acceptance and use of technology model. The data is analysed to evaluate usability, usefulness and user acceptance. Results show some promise for user adoption, but highlight challenges to be overcome, emphasising personalisation and familiarity as key considerations. The complete findings regarding usability issues, usefulness of support features and four identified adoption profiles are used to provide a set of recommendations for practitioners and further research. These contribute toward UCD practices for improved smart, pervasive AT for dementia.

Key findings

Why it matters

This user-centred design case developed and tested assistive technology combining a smartphone, smartwatch, and applications with five end-users with dementia and their caregivers. Results showed some promise for user adoption but highlighted challenges to be overcome, emphasizing personalisation and familiarity as key considerations.

Study details

How this study scored 41/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 0 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 4 of 7; Citations per year 2 of 5; Impact for its field and year 4 of 6; Cited by studies here 2 of 6; Still being cited 2 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 41 of 100.41 of 100 points earned59 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Healthcare technology letters)
Journal's citation record 0 / 4 Healthcare Technology Letters: journal h-index 44 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2016 — within 20 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 4 / 7 Cited 62 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 5.2 citations a year over 12 year(s) since 2016
Impact for its field and year 4 / 6 Cited 18.7× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 5 other studies in this library
Still being cited 2 / 4 Cited 16 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Anja M. Maier: h-index 28 (OpenAlex, whole career)
Institution's track record 1 / 3 Technical University of Denmark: institution h-index 1,023 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 28008366)
Free to read 2 / 2 Free to read
Total 41 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Thorpe, JR., Rønn-Andersen, K. V., Bień, P., Özkil, A. G., Forchhammer, B. H., & Maier, A. M. (2016). Pervasive assistive technology for people with dementia: a UCD case. Healthcare technology letters. https://doi.org/10.1049/htl.2016.0057

Vancouver

Thorpe JR, Rønn-Andersen KV, Bień P, Özkil AG, Forchhammer BH, Maier AM. Pervasive assistive technology for people with dementia: a UCD case. Healthcare technology letters. 2016. doi:10.1049/htl.2016.0057. PMID: 28008366.

BibTeX

@article{thorpe2016-28008366,
  author  = {Thorpe, JR. and Rønn-Andersen, K. V. and Bień, P. and Özkil, A. G. and Forchhammer, B. H. and Maier, A. M.},
  title   = {{Pervasive assistive technology for people with dementia: a UCD case}},
  journal = {Healthcare technology letters},
  year    = {2016},
  doi     = {10.1049/htl.2016.0057},
  pmid    = {28008366},
  url     = {https://doi.org/10.1049/htl.2016.0057}
}

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