Evidence map›Paper›PMID 42719388›Full record

ArticleSage open aging

Older Adults Perceptions of Data Privacy in Smart Technologies: A Qualitative Study.

Jeannine M Rowe, Deanna D 'Amico Guthrie, Jiazhen Zhou, Roger Yin

Abstract read
In one paragraph

Article in Sage open aging. 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

4 authors.

Jeannine M RoweDepartment of Social Work, College of Letters and Sciences, University of Wisconsin-Whitewater, Whitewater, WI, USA.ORCID https://orcid.org/0000-0002-2937-6752
Deanna D 'Amico GuthrieDepartment of Social Work, College of Letters and Sciences, University of Wisconsin-Whitewater, Whitewater, WI, USA.
Jiazhen ZhouDepartment of Computer Science, College of Letters and Sciences, University of Wisconsin-Whitewater, Whitewater, WI, USA.
Roger YinDepartment of Information Technology & Supply Chain Management, College of Business and Economics, University of Wisconsin-Whitewater, Whitewater, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older adults' perspectives on data privacy and smart health devices (SHDs) are essential for understanding potential security risks. However, limited research examines these perspectives. This qualitative study addresses this gap. Semi-structured interviews were conducted with 42 older adults residing in a Midwestern State. Interviews were analyzed using thematic analysis and five themes were developed: (1) Tools for Sustained Self-Management - indicating the use of SHDs to manage chronic health conditions and improve health, and for non-medical purposes; (2) Tools for Health and Reassurance - revealing convenience of SHDs and utility to promote healthy behaviors; (3) Uncertainty and Limited Awareness of Data Governance - highlighting lack of awareness regarding who accesses, collects, stores, and owns SHD data, and limited understanding of privacy practices; (4) Perceived Security Through Trust and Low Risk Appraisal - documenting low perceptions regarding sensitivity of data and placing trust in institutions to safeguard data, and (5) Exercising Control Over Data Sharing - showing the desire to control the sharing of personal data. Findings highlight the need for improved digital literacy education, particularly on how SHDs manage data. They further highlight the need for SHD developers to include older adults in discussions about data governance and device design.

Indexed as

agedcomputer literacyconfidentialitydigital healthhealth literacyself-management

Identifiers

PMID42719388
PMCPMC13554582

What OpenQuestion holds

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Registered trials

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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.