Yi Cao1, Heather Allore2,3, Roee Gutman1, Brent Vander Wyk2, Terese S H Jørgensen4. 1. Department of Biostatistics, Brown University, Providence, RI. 2. Section of Geriatrics, Department of Internal Medicine, Yale School of Medicine. 3. Department of Biostatistics, Yale School of Public Health, New Haven, CT. 4. Section of Social Medicine, Institute of Public Health, University of Copenhagen, Denmark.
Abstract
BACKGROUND: The correlations between skilled nursing facility (SNF) admissions, number of hospitalizations, and informal caregiving hours received after adjusting for physical and cognitive function and sociodemographic covariates are not well understood. OBJECTIVE: The objective of this study was to better understand risk factors for SNF admissions and the interrelation with hospitalizations and amount of informal caregiving received, this study applied a novel joint modeling analysis to simultaneously explore the correlation and shared information between the 3 outcomes. RESEARCH DESIGN: This was an observational follow-up study. SUBJECTS: Data from 4836 older Americans included in the 2011-2015 rounds of the National Health and Aging Trends Study were linked with Centers for Medicare & Medicaid Services. MEASURES: We jointly modeled SNF admission, hospital admissions, and informal caregiving hours received while accounting for possible risk factors. We addressed missing values by multiple imputation with chained equations. RESULTS: SNF admission evidenced a strong positive correlation with hospital admission, and SNF admission evidenced a weak positive correlation with the informal caregiving hours received after adjustment for important risk factors. Non-Hispanic White race/ethnicity, living alone, not being Medicaid eligible, Alzheimer disease and related dementias diagnosis, activities of daily living disabilities, and frailty were associated with increased risk of SNF admissions and any/number of hospital admission. Lower educational level was also associated with the latter. Medicaid eligibility was the only factor not associated with any nor numbers of informal caregiving hours received. CONCLUSIONS: Sociodemographic and health factors were important for predicting SNF admissions. After adjustment for important risk factors, SNF evidenced a strong positive correlation with the number of hospitalizations and a weak positive correlation with the hours of informal caregiving received.
BACKGROUND: The correlations between skilled nursing facility (SNF) admissions, number of hospitalizations, and informal caregiving hours received after adjusting for physical and cognitive function and sociodemographic covariates are not well understood. OBJECTIVE: The objective of this study was to better understand risk factors for SNF admissions and the interrelation with hospitalizations and amount of informal caregiving received, this study applied a novel joint modeling analysis to simultaneously explore the correlation and shared information between the 3 outcomes. RESEARCH DESIGN: This was an observational follow-up study. SUBJECTS: Data from 4836 older Americans included in the 2011-2015 rounds of the National Health and Aging Trends Study were linked with Centers for Medicare & Medicaid Services. MEASURES: We jointly modeled SNF admission, hospital admissions, and informal caregiving hours received while accounting for possible risk factors. We addressed missing values by multiple imputation with chained equations. RESULTS: SNF admission evidenced a strong positive correlation with hospital admission, and SNF admission evidenced a weak positive correlation with the informal caregiving hours received after adjustment for important risk factors. Non-Hispanic White race/ethnicity, living alone, not being Medicaid eligible, Alzheimer disease and related dementias diagnosis, activities of daily living disabilities, and frailty were associated with increased risk of SNF admissions and any/number of hospital admission. Lower educational level was also associated with the latter. Medicaid eligibility was the only factor not associated with any nor numbers of informal caregiving hours received. CONCLUSIONS: Sociodemographic and health factors were important for predicting SNF admissions. After adjustment for important risk factors, SNF evidenced a strong positive correlation with the number of hospitalizations and a weak positive correlation with the hours of informal caregiving received.
Authors: Rachael B Zuckerman; Shannon Wu; Lena M Chen; Karen E Joynt Maddox; Steven H Sheingold; Arnold M Epstein Journal: J Am Geriatr Soc Date: 2018-10-19 Impact factor: 5.562
Authors: Karen Bandeen-Roche; Christopher L Seplaki; Jin Huang; Brian Buta; Rita R Kalyani; Ravi Varadhan; Qian-Li Xue; Jeremy D Walston; Judith D Kasper Journal: J Gerontol A Biol Sci Med Sci Date: 2015-08-21 Impact factor: 6.053
Authors: Momotazur Rahman; David C Grabowski; Pedro L Gozalo; Kali S Thomas; Vincent Mor Journal: Health Serv Res Date: 2013-12-19 Impact factor: 3.402
Authors: Momotazur Rahman; Pedro Gozalo; Denise Tyler; David C Grabowski; Amal Trivedi; Vincent Mor Journal: Med Care Res Rev Date: 2014-05-14 Impact factor: 3.929