Huiwen Xu1, John R Bowblis2, Thomas V Caprio3, Yue Li4, Orna Intrator5. 1. Department of Surgery, Cancer Control, University of Rochester School of Medicine and Dentistry, Rochester, NY; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY. Electronic address: Huiwen_Xu@URMC.Rochester.edu. 2. Department of Economics, Farmer School of Business, Miami University, Oxford, OH; Scripps Gerontology Center, Miami University, Oxford, OH. 3. Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY; Division of Geriatrics, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY; Geriatrics and Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, NY. 4. Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY. 5. Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY; Geriatrics and Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, NY.
Abstract
OBJECTIVES: Hospitalizations are common among long-stay nursing home (NH) residents, but the role of rurality in hospitalization is understudied. This study examines the relationships between rurality, NH, and market characteristics and NH quarterly risk-adjusted hospitalization rates of long-stay residents over 10 quarters (2011 Q2-2013 Q3). DESIGN: The longitudinal associations of NH and market factors and hospitalization rates were modeled separately on urban, micropolitan, and rural NHs using generalized estimating equation models and a fully interacted model of all NH and market characteristics with micropolitan and rural indicators to test significance of differences compared with urban NHs. SETTING AND PARTICIPANTS: In total, 14,600 unique NHs. MEASURES: Risk-adjusted hospitalization rates were calculated from 2011 to 2013 national Medicare claims and NH Minimum Data Set 3.0. Rurality was defined based on the 2010 Rural Urban Commuting Area codes. NH and market characteristics were extracted from Certification and Survey Provider Enhanced Reporting and Area Health Resources File. RESULTS: Over the study period, risk-adjusted hospitalization rates averaged 9.8% (standard deviation = 8.2%). No difference was found in the overall hospitalization rates of long-stay NH residents among urban, micropolitan, and rural NHs. Generalized estimating equation models show that urban NHs with higher percentages of Medicare and Medicaid residents and any nurse practitioner/physician assistant were associated with lower rates, but these associations were insignificant in rural settings. Higher registered nurse to total nurses ratio was only associated with lower hospitalization rates in urban settings. Higher median household income was associated with lower hospitalization rates in micropolitan and rural NHs. CONCLUSIONS/IMPLICATIONS: Rurality is not associated with hospitalization rates of long-stay residents, but NH and market factors (eg, payer distribution, staffing, and population income) may affect hospitalization differently in micropolitan/rural NHs than urban NHs. Future intervention on hospitalization should target factors unique to micropolitan/rural NHs which adopt strategies appropriate to their setting.
OBJECTIVES: Hospitalizations are common among long-stay nursing home (NH) residents, but the role of rurality in hospitalization is understudied. This study examines the relationships between rurality, NH, and market characteristics and NH quarterly risk-adjusted hospitalization rates of long-stay residents over 10 quarters (2011 Q2-2013 Q3). DESIGN: The longitudinal associations of NH and market factors and hospitalization rates were modeled separately on urban, micropolitan, and rural NHs using generalized estimating equation models and a fully interacted model of all NH and market characteristics with micropolitan and rural indicators to test significance of differences compared with urban NHs. SETTING AND PARTICIPANTS: In total, 14,600 unique NHs. MEASURES: Risk-adjusted hospitalization rates were calculated from 2011 to 2013 national Medicare claims and NH Minimum Data Set 3.0. Rurality was defined based on the 2010 Rural Urban Commuting Area codes. NH and market characteristics were extracted from Certification and Survey Provider Enhanced Reporting and Area Health Resources File. RESULTS: Over the study period, risk-adjusted hospitalization rates averaged 9.8% (standard deviation = 8.2%). No difference was found in the overall hospitalization rates of long-stay NH residents among urban, micropolitan, and rural NHs. Generalized estimating equation models show that urban NHs with higher percentages of Medicare and Medicaid residents and any nurse practitioner/physician assistant were associated with lower rates, but these associations were insignificant in rural settings. Higher registered nurse to total nurses ratio was only associated with lower hospitalization rates in urban settings. Higher median household income was associated with lower hospitalization rates in micropolitan and rural NHs. CONCLUSIONS/IMPLICATIONS: Rurality is not associated with hospitalization rates of long-stay residents, but NH and market factors (eg, payer distribution, staffing, and population income) may affect hospitalization differently in micropolitan/rural NHs than urban NHs. Future intervention on hospitalization should target factors unique to micropolitan/rural NHs which adopt strategies appropriate to their setting.
Authors: Jennifer L Carnahan; Kathleen T Unroe; Russell Evans; Sarah Klepfer; Timothy E Stump; Patrick O Monahan; Alexia M Torke Journal: Innov Aging Date: 2022-05-11
Authors: Mingyang Li; Yibin Ao; Shulin Deng; Panyu Peng; Shuangzhou Chen; Tong Wang; Igor Martek; Homa Bahmani Journal: Int J Environ Res Public Health Date: 2022-08-19 Impact factor: 4.614