Evidence mapPaperPMID 40018263Full record

ArticleJournal of health service psychology2024

Technology Assistance in Dementia (Tech-AiD): A Framework for Care in the Digital Age.

Alyssa N Kaser, Cynthia M Mikula, Andrew M Kiselica

Abstract read
In one paragraph

Article in Journal of health service psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Alyssa N KaserUniversity of Texas Southwestern Medical Center.ORCID 0000-0003-3224-1637
Cynthia M MikulaColumbia Center for Eating Disorders.
Andrew M KiselicaUniversity of Missouri.

Funding

Training Core (I)U54AG063546 · BROWN UNIVERSITY · 2025 to 2025
$16.1M
NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

Recent advances in digital technologies hold promise for supporting aging adults and their care partners as they navigate changes in cognitive and daily functioning associated with Alzheimer's disease and related dementias (ADRD). Commonly owned digital technologies, like smartphones, include features that could help maintain independence and reduce caregiver burden. However, we lack models for successful integration of technologies into treatment of persons with ADRD. We propose the Technology Assistance in Dementia (Tech-AiD) framework for aiding persons with ADRD and their care partners with using digital technologies to reach individualized goals. We discuss how technology use is impacted by a multitude of factors, including severity of cognitive impairment, technology proficiency, and barriers to adequate and equitable care, all of which are further complicated by health disparities. Further, we explore the potential benefits of technology use among patients with ADRD and their care partners, highlighting pertinent clinical and ethical challenges and drawing from evidence-based strategies to promote practical recommendations.

Indexed as

AgingAlzheimer’s diseaseCaregivingCognitive declineDementiaDementia careTechnology

Identifiers

PMID40018263
PMCPMC11867628

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.