Evidence map›Paper›PMID 40438044›Full record

ArticleFrontiers in public health2025

Perceived technology usefulness for caregiving among unpaid caregivers: a National Cross-Sectional Study.

Matthew Lee Smith, Shinduk Lee, Malinee Neelamegam, Deborah Vollmer Dahlke, Jodi L Southerland, Zachary G Baker, Kris Pui Kwan Ma, Darina V Petrovsky, Zahra Rahemi, Justine S Sefcik and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

13 authors.

Matthew Lee SmithDepartment of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, United States.
Shinduk LeeCollege of Nursing, The University of Utah, Salt Lake City, UT, United States.
Malinee NeelamegamDepartment of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, United States.
Deborah Vollmer DahlkeDepartment of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, United States.
Jodi L SoutherlandDepartment of Community and Behavioral Health, East Tennessee State University, Johnson City, TN, United States.
Zachary G BakerEdson College of Nursing and Health Innovation, Arizona State University, Tempe, AZ, United States.
Kris Pui Kwan MaDepartment of Family Medicine, University of Washington, Seattle, WA, United States.
Darina V PetrovskySchool of Nursing, Duke University, Durham, NC, United States.
Zahra RahemiSchool of Nursing, Clemson University, Clemson, SC, United States.
Justine S SefcikCollege of Nursing and Health Professions, Drexel University, Philadelphia, PA, United States.
Juanita-Dawne R BacsuSchool of Nursing, Thompson Rivers University, Kamloops, BC, Canada.
Chung Lin KewDepartment of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, United States.
Marcia G OryCenter for Community Health and Aging, Texas A&M University, College Station, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Technological advancements have the potential to improve caregiving quality and alleviate caregiver burden by providing tools for real-time communication, monitoring, and care coordination. To assist with technology adoption among the 53 million unpaid caregivers nationwide, efforts are needed to better understand caregivers' perceptions about the usefulness of certain technologies for caregiving. Methods: Data were analyzed from a national sample of 483 unpaid caregivers using an internet-delivered questionnaire. All unpaid caregivers were eligible if they provided at least 8 h of weekly care for a care recipient aged 50 years or older. The primary dependent variable was the Perceived Technology Usefulness for Caregiving (PTUC) Scale, which is a composite score of six items ranging from 0 to 100. PTUC item responses were summed and averaged, and the overall PTUC scores were transformed into statistical tertiles (higher scores indicating more perceived technology usefulness for caregiving). An ordinal regression model was fitted to identify factors associated with higher PTUC tertiles. Results: Across tertiles, unpaid caregivers who were younger (Beta = -0.018, Conclusion: Findings indicate caregiver characteristics, caregiving dynamics, and available resources (financial and caregiving support) are associated with perceptions about the usefulness of technology for caregiving. The utility of technology for caregiving may be higher among unpaid caregivers with more caregiver strain or positive experiences with caregiving support.

Indexed as

CaregiversAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited Statesolder adultspaid caregivingperceived usefulnesstechnologyunpaid caregiving

Identifiers

PMID40438044
PMCPMC12116359

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.