Perceived technology usefulness for caregiving among unpaid caregivers: a National Cross-Sectional Study.
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2025-01
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Abstract
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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.Type
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Smith, Matthew Lee, Shinduk Lee, Malinee Neelamegam, Deborah Vollmer Dahlke, Jodi L Southerland, Zachary G Baker, Kris Pui Kwan Ma, Darina V Petrovsky, et al. (2025). Perceived technology usefulness for caregiving among unpaid caregivers: a National Cross-Sectional Study. Frontiers in public health, 13. p. 1578701. 10.3389/fpubh.2025.1578701 Retrieved from https://hdl.handle.net/10161/32514.
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Darina Petrovsky
Dr. Darina Petrovsky is an Assistant Professor and Elizabeth C. Clipp Term Chair of Nursing at Duke University School of Nursing. Prior to joining Duke in Winter 2024, she was an Assistant Professor on the tenure track at Rutgers University School of Nursing and Core Faculty at Rutgers Institute for Health, Health Care Policy, and Aging Research. Before joining Rutgers University Dr. Petrovsky was a Postdoctoral Research Fellow at the University of Pennsylvania School of Nursing funded by the Ruth L. Kirschstein National Research Service Award (NRSA) Individual Fellowship (F32 AG060630). She received her PhD in Nursing from the University of Pennsylvania in 2017. Prior to her doctoral work, she received a Masters in Nursing from Case Western Reserve University (2011) and a Bachelors of Musical Arts from the University of Michigan (2009). Her unique background in music training and nursing science has positioned her well to launch her research career with the goal of improving the lives of older adults living with cognitive impairment using music-based approaches. Her additional research interests include ways to achieve health equity among older adults living with cognitive impairment and their caregivers as well as how music can be used to prevent cognitive decline. She was a Ruth L. Kirschstein NRSA Pre-Doctoral Fellow (F31 AG055148) and her past accomplishments include being selected as a 2014-2016 National Hartford Centers of Gerontological Nursing Excellence Patricia G. Archbold Scholar and 2014-2016 Jonas Nurse Leader Scholar.
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