Bian Liu1, Erin E Kent2, J Nicholas Dionne-Odom3, Naomi Alpert4, Katherine A Ornstein5. 1. Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America; Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America. Electronic address: bian.liu@mountsinai.org. 2. Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States of America; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, NC, United States of America. 3. School of Nursing, University of Alabama at Birmingham, Birmingham, AL, United States of America; Center for Palliative and Supportive Care, University of Alabama at Birmingham, Birmingham, AL, United States of America. 4. Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America; Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America. 5. Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America; Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Abstract
BACKGROUND: Little is known about how unpaid family caregivers may already be engaged in caregiving activities prior to their care recipient's cancer diagnosis. We examined pre-cancer diagnosis caregiving patterns and their association with caregiving strain. METHODS: We conducted a population-based analysis of 2011-2017 National Health and Aging Trends Study (NHATS) linked with the National Study of Caregiving (NSOC) and Medicare claims data. Latent class analysis was used to examine patterns of 16 health-focused caregiving tasks (e.g., tracking medications, making appointments) of family caregivers assisting adults ≥65 years prior to an incident cancer diagnosis. High caregiving strain was defined as a total score ≥ 85th percentile of 6 caregiving strain items (e.g., financial difficulty, no time for self). Association between caregiving patterns and strain were examined using multivariable logistic regression, adjusting for care recipient and caregiver characteristics. RESULTS: An estimated 4.2 million caregivers cared for older adults prior to care recipients' new cancer diagnoses during 2011-2017. They engaged in a median of four health-focused caregiving activities. Nearly 1-in-5 (18.7%) pre-cancer caregivers had high caregiving strain. Caregivers were classified into 3 health-focused caregiving activity classes: Low-level (41.2%), Moderate-coordination (29.3%), and High-intensity (29.4%). Higher caregiving activity was associated with higher caregiving strain (adjusted odds ratio (aOR) = 3.85, 95% CI: 2.34-6.33). Caregivers in the High-intensity class had the highest caregiving strain (39.9%), and included more spouses (28.1% vs <18%). CONCLUSION: One-third of U.S. caregivers who help older adults prior to their cancer diagnoses are already highly strained and engaged in high-level health-focused caregiving tasks. Oncology clinicians should assess the capacity and strain of family caregivers who may already be supporting patients with new cancer diagnoses and refer caregivers to additional supportive care services.
BACKGROUND: Little is known about how unpaid family caregivers may already be engaged in caregiving activities prior to their care recipient's cancer diagnosis. We examined pre-cancer diagnosis caregiving patterns and their association with caregiving strain. METHODS: We conducted a population-based analysis of 2011-2017 National Health and Aging Trends Study (NHATS) linked with the National Study of Caregiving (NSOC) and Medicare claims data. Latent class analysis was used to examine patterns of 16 health-focused caregiving tasks (e.g., tracking medications, making appointments) of family caregivers assisting adults ≥65 years prior to an incident cancer diagnosis. High caregiving strain was defined as a total score ≥ 85th percentile of 6 caregiving strain items (e.g., financial difficulty, no time for self). Association between caregiving patterns and strain were examined using multivariable logistic regression, adjusting for care recipient and caregiver characteristics. RESULTS: An estimated 4.2 million caregivers cared for older adults prior to care recipients' new cancer diagnoses during 2011-2017. They engaged in a median of four health-focused caregiving activities. Nearly 1-in-5 (18.7%) pre-cancer caregivers had high caregiving strain. Caregivers were classified into 3 health-focused caregiving activity classes: Low-level (41.2%), Moderate-coordination (29.3%), and High-intensity (29.4%). Higher caregiving activity was associated with higher caregiving strain (adjusted odds ratio (aOR) = 3.85, 95% CI: 2.34-6.33). Caregivers in the High-intensity class had the highest caregiving strain (39.9%), and included more spouses (28.1% vs <18%). CONCLUSION: One-third of U.S. caregivers who help older adults prior to their cancer diagnoses are already highly strained and engaged in high-level health-focused caregiving tasks. Oncology clinicians should assess the capacity and strain of family caregivers who may already be supporting patients with new cancer diagnoses and refer caregivers to additional supportive care services.
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