Evidence map›Paper›PMID 40894161›Full record

ArticlemedRxiv : the preprint server for health sciences2025

A comparison of remote and in-clinic digital cognitive assessments for older adults in primary care settings.

Louisa Thompson, Charles Eaton, Sarah Prieto, Molly Lawrence, Stephanie Czech, Jennifer Rosenbaum, David Anthony, Rabin Chandran, Lauren Kelly, Ivy Ngo and 8 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Louisa ThompsonDepartment of Psychiatry & Human Behavior, Alpert Medical School of Brown University.
Charles EatonDepartment of Family Medicine, Alpert Medical School of Brown University.
Sarah PrietoDepartment of Psychiatry & Human Behavior, Alpert Medical School of Brown University.
Molly LawrenceDepartment of Psychiatry & Human Behavior, Alpert Medical School of Brown University.
Stephanie CzechDepartment of Family Medicine, Alpert Medical School of Brown University.
Jennifer RosenbaumDepartment of Family Medicine, Alpert Medical School of Brown University.
David AnthonyDepartment of Family Medicine, Alpert Medical School of Brown University.
Rabin ChandranDepartment of Family Medicine, Alpert Medical School of Brown University.
Lauren KellyDepartment of Family Medicine, Alpert Medical School of Brown University.
Ivy NgoDepartment of Family Medicine, Alpert Medical School of Brown University.
Arnold GoldbergDepartment of Family Medicine, Alpert Medical School of Brown University.
Caitlin GilloolyDepartment of Family Medicine, Alpert Medical School of Brown University.
Nelson RoqueThe Pennsylvania State University, College of Health and Human Development.
Hailey AndrewsThe Pennsylvania State University, College of Health and Human Development.
Caroline RichardsonDepartment of Family Medicine, Alpert Medical School of Brown University.
A Rani ElwyMemory & Aging Program, Butler Hospital.
Richard N JonesDepartment of Psychiatry & Human Behavior, Alpert Medical School of Brown University.ORCID 0000-0002-1049-218X
Dorene M RentzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School.

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI ROUNDS, SHARON IRENE SMITH · 2016 to 2025
$45.0M
Accelerating digital cognitive screening for Alzheimer's disease in the Primary Care SettingK23AG080159 · NIA · BROWN UNIVERSITY · PI Louisa Thompson · 2023 to 2026
$721k
HSRD VA IK6 HX003765NIA NIH HHS K23 AG080159NIGMS NIH HHS U54 GM115677
6 · The paper itself

Abstract

backgroundTimely identification of mild cognitive impairment (MCI) is critical for maximizing early intervention opportunities in older adults at risk for dementia. This study evaluated the feasibility, acceptability, and validity of novel digital cognitive tests in primary care.

methodsIn a two-phase pilot study across three clinics, 51 older adults completed digital cognitive assessments remotely on personal devices followed by supervised tablet-based cognitive screening in-clinic and the Montreal Cognitive Assessment (MoCA). Surveys and interviews assessed patient and provider acceptability. Digital test completion rates were examined to assess feasibility.

resultsCompletion rates ranged from 61.5% - 76% for the at-home assessments and 81.8% for in-clinic testing. Participants generally preferred at-home testing. Providers found in-clinic testing acceptable but identified barriers related to device access and EMR integration. All but one digital test showed moderate correlations with the MoCA.

conclusionDigital cognitive screening-whether remote or in-clinic-shows promise for primary care implementation.

Indexed as

Alzheimer’s diseaseCognitive ScreeningDigital AssessmentEarly DetectionMild Cognitive ImpairmentPrimary Care

Identifiers

PMID40894161
PMCPMC12393650

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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.