Characterizing Key Drivers of Respite Use Among Veteran Caregivers
Melissa Harris-Gersten, Colleen Blue, Susan Hastings, Zhen Li, Jeanie Lo, Nadya Majette, Jennifer Zervakis, Megan Shepherd-Banigan

TL;DR
This study identifies factors influencing respite care use among Veteran caregivers, aiming to improve access and reduce caregiver burden.
Contribution
The study combines machine learning and qualitative analysis to identify key drivers of respite use among VHA caregivers.
Findings
Veteran functional limitations and caregiver age were top predictors of respite use.
Qualitative data highlighted psychosocial and system-level barriers like lack of awareness and scheduling issues.
VHA’s respite payment model was found to alleviate financial strain for caregivers.
Abstract
Respite care has been shown to reduce caregiver burden and may delay long-term care placement, yet it remains underutilized, with only 12-15% of US caregivers reporting use of these services. Understanding drivers of respite use is critical to informing initiatives to improve access. This convergent mixed-methods study aimed to characterize factors influencing respite use among caregivers and Veterans enrolled in the Veterans Health Administration’s (VHA) Caregiver Support Program. A retrospective analysis used machine learning (random forests) to analyze caregiver survey data (2018–2021) linked to Veteran electronic health records (N = 1,727), ranking Veteran and caregiver factors associated with respite use. Semi-structured interviews were conducted with a separate sample of caregivers (N = 20) in 2024, with transcripts analyzed using directed content analysis. Data were integrated…
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Taxonomy
TopicsGeriatric Care and Nursing Homes · Palliative Care and End-of-Life Issues · Chronic Disease Management Strategies
