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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 44 out of 100. Getting a diagnosis

Topic: Amyloid, tau and blood-test diagnosis

Introduction Digital cognitive assessments (DCAs) may facilitate early recognition of cognitive decline in the context of Alzheimer's disease (AD). While DCAs are increasingly emerging, they are often not used in practice. We assessed facilitators and barriers of using DCAs according to older individuals and patients. Methods In five focus groups, we presented three different DCAs to older individuals with unimpaired cognition ( n = 14), subjective cognitive decline ( n = 11) and mild cognitive impairment with biomarker-confirmed AD ( n = 4) and their caregivers ( n = 2). Participants discussed facilitators and barriers that could influence the use of DCAs. Focus groups were recorded, and transcripts were analysed using thematic analysis. Results Three main themes were identified: (1) test motivation (‘Do I want to know my brain health?’), facilitated by early disease recognition, while impeded by fear of dementia; (2) digital test suitability (‘Do I want to use a digital test?’), enabling at-home testing, while lacking personal contact; and (3) digital test characteristics (‘What makes a digital test a good test for me?’), where user-friendliness was emphasized as a key facilitator to overcome digital incompetence. Discussion Participants recognized the added value of DCAs, and multiple factors were identified as facilitators and barriers for their use. Similar factors could be a barrier for one, yet facilitated others, underlining the need for a personalized approach. Strategies to minimize barriers and exploit facilitators would ultimately foster implementation.

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

APA 7th

van der Landen, S. M., van den Berg, R. L., Keijzer, M. J., van Liere, M. N., de Boer, C., Visser, L. N., et al. (2025). Focus groups on digital cognitive assessment in the context of Alzheimer's disease. Digital Health. https://doi.org/10.1177/20552076251318903

Vancouver

van der Landen SM, van den Berg RL, Keijzer MJ, van Liere MN, de Boer C, Visser LN, et al. Focus groups on digital cognitive assessment in the context of Alzheimer's disease. Digital Health. 2025. doi:10.1177/20552076251318903. PMID: 39944114.

BibTeX

@article{vanderlanden2025-39944114,
  author  = {van der Landen, Sophie M. and van den Berg, Rosanne L. and Keijzer, Matthijs J and van Liere, Mariska N. and de Boer, Casper and Visser, Leonie N.C. and van der Flier, Wiesje M. and Rhodius‐Meester, Hanneke F. M. and others},
  title   = {{Focus groups on digital cognitive assessment in the context of Alzheimer's disease}},
  journal = {Digital Health},
  year    = {2025},
  doi     = {10.1177/20552076251318903},
  pmid    = {39944114},
  url     = {https://doi.org/10.1177/20552076251318903}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

Key findings

Why it matters

These focus groups identified facilitators and barriers to using digital cognitive assessments, including test motivation, digital suitability and user-friendliness. Participants recognised added value of these assessments for early recognition; the study does not test any treatment, cure or prevention.

Study details

How this study scored 44/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 1 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 1 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 1 of 5; Impact for its field and year 3 of 6; Cited by studies here 1 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 44 of 100.44 of 100 points earned56 not earned

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

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Digital Health)
Journal's citation record 1 / 4 Digital Health: journal h-index 77 (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 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 1 / 4 14 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 2 / 7 Cited 5 times (OpenAlex, 2026-10-10)
Citations per year 1 / 5 1.7 citations a year over 3 year(s) since 2025
Impact for its field and year 3 / 6 Cited 3.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 1 / 4 Cited 5 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Sietske A.M. Sikkes: h-index 47 (OpenAlex, whole career)
Institution's track record 1 / 3 Karolinska Institutet: institution h-index 1,477 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 6 institution(s) in 3 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 39944114)
Free to read 2 / 2 Free to read
Total 44 / 100 —

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

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