Evidence map›Paper›PMID 37675938›Full record

ArticleInformatics for health & social care2023

How I want technology used in my care: Learning from documented choices of people living with dementia using a dyadic decision making tool.

Natalie R Turner, Clara Berridge

Abstract read
In one paragraph

Article in Informatics for health & social care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

2 authors.

Natalie R TurnerSchool of Social Work, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-0351-458X
Clara BerridgeSchool of Social Work, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-4218-9556

Funding

University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Thomas J. Grabowski · 2020 to 2026
$29.0M
Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI Daniel T A Eisenberg · 2017 to 2026
$6.3M
Engaging older adults with cognitive impairment in planning for technology use in their care: the Identifying Needs for Optimal Remote Monitoring tool (INFORM)K01AG062681 · NIA · UNIVERSITY OF WASHINGTON · PI BERRIDGE, CLARA · 2019 to 2022
$495k
NIA NIH HHS K01 AG062681NIA NIH HHS P30 AG066509NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

While technologies for aging in place are promoted to support care partners and people living with dementia, perspectives of people living with dementia are underrepresented in both use decisions among families and discussions within academia and industry. This mixed-methods study examined the use preferences of twenty-nine people living with mild Alzheimer's disease (AD) for four categories of technologies: location tracking, in-home sensors, web-cameras, and virtual companion robots. Participants completed a novel dyadic intervention, Let's Talk Tech, where they documented their preferences of the four technology categories for care planning purposes. Post-test interviews were thematically analyzed and provide insight into selection processes. Technology preferences varied considerably by and within participant living with mild AD. Excepting location tracking, non-technology and low-technology options were more desirable than the featured technologies. Control over technology use was of great importance to people living with AD. Considerations given to technology preference selection imperfectly fit within the new Health Technology Acceptance Model (H-TAM) developed for older adults. These findings underscore the importance of including people living with dementia in decision making about technologies to support care at home and the need for further personalization and tailorable technological devices to accommodate and align with their preferences.

Indexed as

DementiaAgedCaregiversDecision MakingHumansIndependent Livingcare planningdecision aidethicsPeople living with dementiatechnology preferences

Identifiers

PMID37675938
PMCPMC10792656

What OpenQuestion holds

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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.