Evidence map›Paper›PMID 40499149›Full record

ArticleJournal of applied gerontology : the official journal of the Southern Gerontological Society2026

Invested Partner Feedback on Technology Assistance in Dementia (Tech-AiD).

Andrew M Kiselica, Greta Hermann, Sawyer Harmon, Megan Gilligan, Rylea Ranum, Anna Boone, Timothy Wolf, Alan Stevens, Renato F L Azevedo, Jenay Beer and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied gerontology : the official journal of the Southern Gerontological Society, 2026. 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

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

11 authors.

Andrew M KiselicaInstitute of Gerontology, College of Public Health, University of Georgia, Athens, GA, USA.ORCID 0000-0002-9514-0668
Greta HermannDepartment of Health Psychology, University of Missouri, Columbia, MO, USA.
Sawyer HarmonDepartment of Educational, School, and Counseling Psychology, University of Missouri, Columbia, MO, USA.
Megan GilliganHuman Development and Family Science, University of Missouri, Columbia, Missouri, USA.
Rylea RanumDepartment of Psychology, University of Houston, Houston, TX, USA.
Anna BooneDepartment of Occupational Therapy, University of Missouri, Columbia, MO, USA.
Timothy WolfDepartment of Occupational Therapy, University of Missouri, Columbia, MO, USA.
Alan StevensCenter for Applied Health Research, Baylor Scott and White Health, Temple, TX, USA.
Renato F L AzevedoInstitute of Gerontology, College of Public Health, University of Georgia, Athens, GA, USA.
Jenay BeerInstitute of Gerontology, College of Public Health, University of Georgia, Athens, GA, USA.
Jared BengeDepartment of Neurology and Mulva Clinic for the Neurosciences, University of Texas, Austin, TX, USA.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Abraham Aizer Brody, SUSAN L MITCHELL · 2019 to 2026
$125.9M
Smartphone-Based Solutions for Prospective Memory in Mild Cognitive Impairment and DementiaR01AG082783 · NIA · BAYLOR UNIVERSITY · PI BENGE, JARED F, SCULLIN, MICHAEL K · 2023 to 2025
$2.2M
NIA NIH HHS R01 AG082783NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

Everyday technologies, like smartphones, might improve care of persons living with Alzheimer's disease and related dementias (PLWADRD) and reduce burden among care partners. However, care partners often report inadequate technical skills for using technology-based strategies. To address this need, we developed a manualized behavioral intervention called Technology Assistance in Dementia (Tech-AiD). We gathered feedback on the intervention concept from invested partners (10 care partners and 10 healthcare professionals) in a multimethod study. Quantitative results suggested very high intervention acceptability (4.55/5), appropriateness (4.36/5), and feasibility (4.11/5). Qualitative responses indicated a willingness to participate in Tech-AiD if available, described the program as a good fit for the needs of persons living with ADRD and care partners, and suggested that Tech-AiD's delivery format was convenient. Qualitative responses also included specific suggestions to improve Tech-AiD (e.g., creation of a technology helpline, booster sessions). Results provide evidence of Tech-AiD's readiness for a pilot trial.

Indexed as

Alzheimer DiseaseCaregiversDementiaAgedFeedbackFemaleHumansMaleMiddle AgedQualitative ResearchSmartphonebehavioral interventioncare partnerdementiamixed methodstechnology

Identifiers

PMID40499149
PMCPMC12416498

What OpenQuestion 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 OpenQuestion graph.