Evidence map›Paper›PMID 40454424›Full record

ArticleInnovation in aging2025

Virtual Data Collection Strategies in Research on Alzheimer's Disease and Related Dementias (ADRD).

Jeong Eun Kim, Melissa Knox, Joshua D Grill, Megan Witbracht, Yuchen Zhang, Hector Salazar, Marita Garrett, Eunji Russ, Melany Medina, Jennifer H Lingler

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jeong Eun KimDepartment of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0009-0002-8605-7026
Melissa KnoxDepartment of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA.
Joshua D GrillDepartment of Psychiatry and Human Behavior, University of California Irvine School of Medicine, Irvine, California, USA.
Megan WitbrachtInstitute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine, California, USA.
Yuchen ZhangDepartment of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0009-0009-1792-0392
Hector SalazarDepartment of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0009-0005-7439-0309
Marita GarrettDepartment of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA.
Eunji RussInstitute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine, California, USA.
Melany MedinaInstitute for Memory Impairments and Neurological Disorders, University of California Irvine, Irvine, California, USA.
Jennifer H LinglerDepartment of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA.

Funding

Supplement to Recruitment Innovations to Enhance Diversity in AD ResearchR01AG054518 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LINGLER, JENNIFER HAGERTY · 2017 to 2021
$2.8M
Patient and Family Member Reactions to Biomarker-Informed ADRD DiagnosesRF1AG080591 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GRILL, JOSHUA, LINGLER, JENNIFER HAGERTY · 2023 to 2023
$2.1M
NIA NIH HHS R01 AG054518NIA NIH HHS RF1 AG080591
6 · The paper itself

Abstract

Background and Objectives: Remote data collection emerged as a valuable method for engaging vulnerable populations, such as individuals participating in Alzheimer's disease and related dementias (ADRD) research. Despite challenges like technology readiness and privacy concerns, remote methods have the potential to enhance participation among diverse groups by offering flexibility while addressing accessibility barriers such as geographic distance. This study shares experiences with virtual data collection and the strategies employed to enhance ADRD research involving individuals with and at risk of cognitive impairment. Research Design and Methods: Experiences are drawn from RIDE ( Results: 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 Implications: 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.

Indexed as

Care partnersDyadVideoconferencingVirtual engagement

Identifiers

PMID40454424
PMCPMC12123064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.