Perceived technology usefulness for caregiving among unpaid caregivers

A National Cross-Sectional Study

Datos Bibliográficos

ID22067024
AutoresMatthew Lee Smith (0000-0002-8232-9285, Texas A&M Health Science Center, autor de correspondencia), Shinduk Lee (0000-0003-1336-819X, University of Utah), Malinee Neelamegam (0000-0002-4027-7544, University of North Texas), Deborah Vollmer Dahlke (0000-0003-1674-4998, Texas A&M Health Science Center), Jodi L Southerland (0000-0002-8092-7126, East Tennessee State University), Zachary G Baker (0000-0001-5345-7643, Arizona State University), Kris Pui Kwan (0000-0003-4198-0052, University of Washington), Kris Pui Kwan Ma, Darina V Petrovsky (0000-0002-3109-1633, Duke University), Zahra Rahemi (0000-0003-1126-2287, Clemson University), Justine S Sefcik (0000-0003-1691-7836, Drexel University), Juanita-Dawne Bacsu (0000-0002-2819-1617, Thompson Rivers University), Juanita-Dawne R Bacsu, Chung Lin Kew (0000-0003-1720-4459, Texas A&M Health Science Center), Marcia G Ory (0000-0001-8036-2383, Texas A&M Health Science Center)
Año2025
Volumen13
Páginas1578701-1578701
Fecha de publicación2025-05-14
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1578701
PMID40438044
OpenAlexW4410380281
IdiomaEN
Referencias citadas36

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, p = 0.030) and male (Beta = 0.422, p = 0.048) reported higher PTUC Scale scores. Compared to non-Hispanic white caregivers, Hispanic/Latino (Beta = 0.779, p = 0.010), African American (Beta = 1.064, p < 0.001), and Asian (Beta = 0.958, p = 0.010) caregivers reported higher PTUC Scale scores. Unpaid caregivers with lower financial insecurity (Beta = −0.010, p = 0.003), higher caregiver strain (Beta = 0.149, p < 0.001), and more satisfaction with the support they receive for caregiving (Beta = 0.009, p = 0.002) reported higher PTUC Scale scores. Unpaid caregivers whose care recipients had less cognitive impairment reported higher PTUC Scale scores (Beta = −0.245, p = 0.048). 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

Cross-sectional study · Assistive Technology in Communication and Mobility · Medicine · Mobile Health and mHealth Applications · Psychology · Technology Use by Older Adults · Gerontology