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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 49 out of 100. Disparities

Topic: Risk, prevention and care in population studies

Virtual data collection was highly feasible in both studies, successfully engaging participants in ADRD research, including those from underrepresented racial and ethnic groups. In RIDE, although project staff occasionally needed to troubleshoot technical challenges (e.g., broken survey links, video issues), the study successfully recruited 500 adults identifying as Black/African American. PARADE showed that synchronous interviews minimized missing data, with care partners providing essential technical and logistical support. Despite occasional difficulties with video conferencing and participant payments, most participants remained fully engaged, highlighting the effectiveness of virtual methods and the need for continuous support to ensure successful participation. Discussion and Virtual data collection offers opportunities to promote inclusion in ADRD research, as demonstrated by the successful enrollment of diverse participant samples in both studies. Successful implementation requires careful planning to address challenges such as digital literacy, educational disparities, and technical support.

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

APA 7th

Kim, J. E., Knox, M. L., Grill, J. D., Witbracht, M. G., Zhang, Y., Salazar, H., et al. (2025). Virtual Data Collection Strategies in Research on Alzheimer’s Disease and Related Dementias (ADRD). Innovation in Aging. https://doi.org/10.1093/geroni/igaf026

Vancouver

Kim JE, Knox ML, Grill JD, Witbracht MG, Zhang Y, Salazar H, et al. Virtual Data Collection Strategies in Research on Alzheimer’s Disease and Related Dementias (ADRD). Innovation in Aging. 2025. doi:10.1093/geroni/igaf026. PMID: 40454424.

BibTeX

@article{kim2025-40454424,
  author  = {Kim, Jeong Eun and Knox, Melissa L. and Grill, Joshua D. and Witbracht, Megan Gage and Zhang, Yuchen and Salazar, Hector and Garrett, Marita and Russ, Eunji and others},
  title   = {{Virtual Data Collection Strategies in Research on Alzheimer’s Disease and Related Dementias (ADRD)}},
  journal = {Innovation in Aging},
  year    = {2025},
  doi     = {10.1093/geroni/igaf026},
  pmid    = {40454424},
  url     = {https://doi.org/10.1093/geroni/igaf026}
}

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

This paper reports that virtual data collection was feasible and successfully engaged participants in Alzheimer's disease and related dementias research, including underrepresented groups. It addresses research methods and inclusion, not treating, curing, or preventing the disease.

Study details

How this study scored 49/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 0 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomized / blinded 0 of 2; Times cited 1 of 7; Citations per year 1 of 5; Impact for its field and year 2 of 6; Cited by studies here 0 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multicenter collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 49 of 100.49 of 100 points earned51 not earned

Published in a peer-reviewed journal, and it is a cohort study following people over time. Scored zero for effect reported and randomized / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Innovation in Aging)
Journal's citation record 0 / 4 Innovation in Aging: journal h-index 48 (OpenAlex, 2026-10-29)
Study design 7 / 12 A cohort study following people over time
Strength of evidence 3 / 5 Rated “moderate” 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 2 / 4 500 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)
Randomized / blinded 0 / 2 No randomization or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 1 / 7 Cited 4 times (OpenAlex, 2026-10-10)
Citations per year 1 / 5 1.3 citations a year over 3 year(s) since 2025
Impact for its field and year 2 / 6 Cited 2.5× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 1 / 4 Cited 4 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Jennifer Hagerty Lingler: h-index 33 (OpenAlex, whole career)
Institution's track record 1 / 3 University of Pittsburgh: institution h-index 1,470 (OpenAlex)
Multicenter collaboration 1 / 3 OpenAlex lists 2 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 40454424)
Free to read 2 / 2 Free to read
Total 49 / 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).

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