Evidence map›Paper›PMID 40313054›Full record

ArticleJournal of Alzheimer's disease : JAD2025

Sharing patient technology preferences with care networks: Stakeholders' views of the "Let's Talk Tech" decision aid for dementia care.

Clara Berridge, Natalie R Turner, William B Lober, George Demiris, Jeffrey Kaye

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 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

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

5 authors.

Clara BerridgeSchool of Social Work, University of Washington, Seattle, WA, USA.ORCID 0000-0002-4218-9556
Natalie R TurnerSchool of Social Work, University of Washington, Seattle, WA, USA.ORCID 0000-0002-0351-458X
William B LoberClinical Informatics Research Group, School of Nursing, University of Washington, Seattle, WA, USA.ORCID 0000-0002-1053-7501
George DemirisDepartment of Biobehavioral and Health Sciences, School of Nursing and Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-6318-5829
Jeffrey KayeLayton Aging and Alzheimer's Disease Center and Oregon Center for Aging and Technology, School of Medicine, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0002-9971-3478

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Lynn Bekris · 2020 to 2026
$29.0M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI JOSEPH F QUINN · 2020 to 2026
$28.6M
Research Education ComponentP30AG072931 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Henry L Paulson · 2021 to 2026
$26.5M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI VIVIANNA M VAN DEERLIN · 2021 to 2026
$24.8M
Technology Identification and Training CoreP30AG073105 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DEMIRIS, GEORGE · 2021 to 2025
$21.2M
NCATS NIH HHS UL1 TR002319NIA NIH HHS P30 AG066509NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG072931NIA NIH HHS P30 AG072979NIA NIH HHS P30 AG073105
6 · The paper itself

Abstract

BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss and their care partners that supports decision-making about digital health technologies. In past work, dyads wanted to share LTT preference reports with their larger care networks.ObjectiveThis study aims to understand with whom care dyads want to share their technology preference reports and why, and if and how clinicians want to receive them.MethodsTogether, fifteen dyads of people living with mild cognitive impairment (MCI) or early-stage dementia (n = 15) and a care partner (n = 15) completed LTT and two survey questions. Care partners completed independent follow-up interviews, and 32 clinicians at four Alzheimer's Disease Research Center-affiliated clinics viewed an LTT report and completed a 10-question survey. We used descriptive statistics for survey responses and thematic analysis for interviews.ResultsTwo-thirds of care partners (n = 10) wanted to share the report with family members. Half (n = 8) wanted to share it with clinicians to keep them informed about the dyad's planning and facilitate conversations about technology options. 30 of 32 clinicians reported they would want their patients' technology preferences reports, with 25 wanting to access it via the electronic health record (EHR).ConclusionsFindings demonstrate potential value to both family dyads and providers of sharing technology preferences beyond the care dyad. Clinicians were highly receptive to accessing technology preference reports in EHRs and to having discussions about technology be a part of advance care planning. Future research should test integration in the EHR and the potential of sharing technology preferences to support person-centered technology choices.

Indexed as

CaregiversDecision Support TechniquesDementiaPatient PreferenceAgedAged, 80 and overCognitive DysfunctionFemaleHumansMaleMiddle AgedStakeholder ParticipationSurveys and QuestionnairesAlzheimer's diseaseartificial intelligenceassistive technologycaregivingdecision aiddigital health technologyethicsmild cognitive impairmentpatient-centered careshared decision making

Identifiers

PMID40313054
PMCPMC13078615

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.