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      Nursing Home Compare Star Rankings and the Variation in Potentially Preventable Emergency Department Visits and Hospital Admissions

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          Abstract

          Measurement of the quality of US health care increasingly emphasizes clinical outcomes over clinical processes. Nursing Home Compare Star Ratings are provided by Medicare to help select better nursing home care. The authors determined the rates and types of 2 important clinical outcomes–potentially preventable hospital admissions and potentially preventable emergency department (ED) visits–for a subset of 439,011 long-term nursing homes residents residing in 12,883 nursing homes throughout the United States over a 2-year period (2010–2011) and compared them with the Star Rating system. This study found that (1) the likelihood of potentially preventable events increases with increasing burden of chronic illness, (2) the principle reasons for hospital admissions and ED visits (eg, septicemia, pneumonia, confusion, gastroenteritis) are not part of existing nursing home quality measures, (3) the rate of potentially preventable admissions and ED visits for nursing homes residents varies greatly both across and within states, with 5 states having in excess of 20% more than the national average for both, and (4) the Nursing Home Compare Stars measure has limited correlation with rates of these potentially preventable events. Nursing Home Compare Star rankings could benefit by incorporating outcomes measures such as preventable hospitalizations and ED visits, and by comparing nursing home performance on results drawn from across states rather than within them. Such reform could better help users find nursing homes of higher quality and stimulate homes to improve quality in ways that benefit residents.

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          Most cited references15

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          Clinical Risk Groups (CRGs): a classification system for risk-adjusted capitation-based payment and health care management.

          To develop Clinical Risk Groups (CRGs), a claims-based classification system for risk adjustment that assigns each individual to a single mutually exclusive risk group based on historical clinical and demographic characteristics to predict future use of healthcare resources. STUDY DESIGN/DATA SOURCES: We developed CRGs through a highly iterative process of extensive clinical hypothesis generation followed by evaluation and verification with computerized claims-based databases containing inpatient and ambulatory information from 3 sources: a 5% sample of Medicare enrollees for years 1991-1994, a privately insured population enrolled during the same time period, and a Medicaid population with 2 years of data. We created a system of 269 hierarchically ranked, mutually exclusive base-risk groups (Base CRGs) based on the presence of chronic diseases and combinations of chronic diseases. We subdivided Base CRGs by levels of severity of illness to yield a total of 1075 groups. We evaluated the predictive performance of the full CRG model with R2 calculations and obtained values of 11.88 for a Medicare validation data set without adjusting predicted payments for persons who died in the prediction year, and 10.88 with a death adjustment. A concurrent analysis, using diagnostic information from the same year as expenditures, yielded an R2 of 42.75 for 1994. CRGs performance is comparable to other risk adjustment systems. CRGs have the potential to provide risk adjustment for capitated payment systems and management systems that support care pathways and case management.
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            Emergency department visits by nursing home residents in the United States.

            To characterize emergency department (ED) use by nursing home residents in the United States. Analysis of the National Hospital Ambulatory Medical Care Survey. U.S. EDs from 2005 to 2008. Individuals visiting U.S. EDs stratified according to nursing home residency. All ED visits by nursing home residents were identified. The demographic and clinical characteristics and ED resource utilization, length of stay, and outcomes of nursing home residents and nonresidents were compared. During 2005 to 2008, nursing home residents accounted for 9,104,735 of 475,077,828 U.S. ED visits (1.9%; 95% confidence interval (CI) = 1.8-2.1%). The annualized number of ED visits by nursing home residents was 2,276,184. Most nursing home residents were older (mean age 76.7, 95% CI = 75.8-77.5), female (63.3%), and non-Hispanic white (74.8%). Nursing home residents were more likely to have been discharged from the hospital in the prior 7 days (adjusted odds ratio (aOR = 1.4, 95% CI = 1.1-1.9), to present with fever (aOR = 1.9, 95% CI = 1.5-2.4) or hypotension (systolic blood pressure ≤90 mmHg, aOR = 1.8, 95% CI = 1.5-2.2), and to receive diagnostic tests (OR = 1.9, 95% CI = 1.6-2.2), imaging (OR = 1.5, 95% CI = 1.3-1.7), or procedures (OR = 1.6, 95% CI = 1.4-1.7) in the ED. Almost half of nursing home residents visiting the ED were admitted to the hospital. Nursing home residents were more likely to be admitted to the hospital (aOR = 1.8, 95% CI = 1.6-2.0) and to die (aOR = 2.3, 95% CI = 1.6-3.3). Nursing home residents account for more than 2.2 million ED visits annually in the United States. Nursing home residents have greater medical acuity and complexity. These observations highlight the national challenges of organizing and delivering ED care to nursing home residents in the United States. © 2011, Copyright the Authors Journal compilation © 2011, The American Geriatrics Society.
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              Identifying Potentially Preventable Emergency Department Visits by Nursing Home Residents in the United States.

              To identify and describe potentially preventable emergency department (ED) visits by nursing home (NH) residents in the United States. These visits are important because they are common, frequently lead to hospitalization, and can be associated with significant cost to the patient and the health care system.
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                Author and article information

                Journal
                Popul Health Manag
                Popul Health Manag
                pop
                Population Health Management
                Mary Ann Liebert, Inc., publishers (140 Huguenot Street, 3rd FloorNew Rochelle, NY 10801USA )
                1942-7891
                1942-7905
                01 April 2019
                27 March 2019
                27 March 2019
                : 22
                : 2
                : 144-152
                Affiliations
                [ 1 ]3M Health Information Systems, Clinical and Economic Research , Silver Spring, Maryland.
                [ 2 ]Brightwood Riverview Health Center , Springfield, Massachusetts.
                [ 3 ]Yale University School of Medicine , New Haven, Connecticut.
                Author notes
                [*]Address correspondence to: Richard L. Fuller, MS, 3M Health Information Systems, Clinical and Economic Research, 12215 Plum Orchard Lane, Silver Spring, MD 20904 rfuller@ 123456mmm.com
                Article
                10.1089/pop.2018.0065
                10.1089/pop.2018.0065
                6459266
                30059266
                b37e9820-b032-4b1c-80f5-dd5468f22499
                © Richard L. Fuller et al. 2018; Published by Mary Ann Liebert, Inc.

                This Open Access article is distributed under the terms of the Creative Commons License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 2, Tables: 3, References: 28, Pages: 9
                Categories
                Original Articles

                preventable admissions,nursing home care,emergency department visits

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