Shubing Cai1, Susan C Miller, Dallas L Nelson, Dana B Mukamel. 1. *Department of Public Health Sciences, University of Rochester School of Medicine, Rochester, NY †Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, RI ‡Department of Medicine, Geriatrics/Aging (SMD), University of Rochester School of Medicine, Rochester, NY §Department of Medicine, Division of General Internal Medicine, University of California, Irvine, Irvine, CA.
Abstract
OBJECTIVES: To examine the association between payer status (Medicaid vs. private-pay) and the risk of hospitalizations among long-term stay nursing home (NH) residents who reside in the same facility. DATA AND STUDY POPULATION: The 2007-2010 National Medicare Claims and the Minimum Data Set were linked. We identified newly admitted NH residents who became long-stayers and then followed them for 180 days. ANALYSES: Three dichotomous outcomes-all-cause, discretionary, and nondiscretionary hospitalizations during the follow-up period-were defined. Linear probability model with facility fixed-effects and robust SEs were used to examine the within-facility difference in hospitalizations between Medicaid and private-pay residents. A set of sensitivity analyses were performed to examine the robustness of the findings. RESULTS: The prevalence of all-cause hospitalization during a 180-day follow-up period was 23.3% among Medicaid residents compared with 21.6% among private-pay residents. After accounting for individual characteristics and facility effects, the probability of any all-cause hospitalization was 1.8-percentage point (P<0.01) higher for Medicaid residents than for private-pay residents within the same facility. We also found that Medicaid residents were more likely to be hospitalized for discretionary conditions (5% increase in the likelihood of discretionary hospitalizations), but not for nondiscretionary conditions. The findings from the sensitivity analyses were consistent with the main analyses. CONCLUSIONS: We observed a higher hospitalization rate among Medicaid NH residents than private-pay residents. The difference is in part driven by the financial incentives NHs have to hospitalize Medicaid residents.
OBJECTIVES: To examine the association between payer status (Medicaid vs. private-pay) and the risk of hospitalizations among long-term stay nursing home (NH) residents who reside in the same facility. DATA AND STUDY POPULATION: The 2007-2010 National Medicare Claims and the Minimum Data Set were linked. We identified newly admitted NH residents who became long-stayers and then followed them for 180 days. ANALYSES: Three dichotomous outcomes-all-cause, discretionary, and nondiscretionary hospitalizations during the follow-up period-were defined. Linear probability model with facility fixed-effects and robust SEs were used to examine the within-facility difference in hospitalizations between Medicaid and private-pay residents. A set of sensitivity analyses were performed to examine the robustness of the findings. RESULTS: The prevalence of all-cause hospitalization during a 180-day follow-up period was 23.3% among Medicaid residents compared with 21.6% among private-pay residents. After accounting for individual characteristics and facility effects, the probability of any all-cause hospitalization was 1.8-percentage point (P<0.01) higher for Medicaid residents than for private-pay residents within the same facility. We also found that Medicaid residents were more likely to be hospitalized for discretionary conditions (5% increase in the likelihood of discretionary hospitalizations), but not for nondiscretionary conditions. The findings from the sensitivity analyses were consistent with the main analyses. CONCLUSIONS: We observed a higher hospitalization rate among Medicaid NH residents than private-pay residents. The difference is in part driven by the financial incentives NHs have to hospitalize Medicaid residents.
Authors: Robin L Kruse; David R Mehr; Keith E Boles; Judith R Lave; Ellen F Binder; Richard Madsen; Ralph B D'Agostino Journal: Med Care Date: 2004-09 Impact factor: 2.983
Authors: Benjamin C Silver; David C Grabowski; Pedro L Gozalo; David Dosa; Kali S Thomas Journal: Health Serv Res Date: 2018-07-31 Impact factor: 3.402
Authors: Kali S Thomas; Benjamin Silver; Pedro L Gozalo; David Dosa; David C Grabowski; Rajesh Makineni; Vincent Mor Journal: Med Care Date: 2018-05 Impact factor: 2.983