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Gozalo PL, Inrator O, Phibbs CS, Kinosian B, Allen SM. Successful Discharge of Short Stay Veterans from VA Community Living Centers. J Aging Soc Policy 2022; 34:690-706. [PMID: 35959862 DOI: 10.1080/08959420.2022.2111169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
The Veterans Health Administration (VHA) long-term care rebalancing initiative encouraged VA Community Living Centers (CLCs) to shift from long-stay custodial-focused care to short-stay skilled and rehabilitative care. Using all VA CLC admissions during 2007-2010 categorized as needing short-stay rehabilitation or skilled nursing care, we assessed the patient and facility rates of successful discharge to the community (SDC) of these short-stay Veterans. We found large variation in inter- as well as intra- facility SDC rates across the rehabilitation and skilled nursing short-stay cohorts. We discuss how our results can help guide VHA policy directed at delivering high-quality short-stay CLC care for Veterans.
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Affiliation(s)
- Pedro L Gozalo
- Research Health Scientist, U.S. Department of Veterans Affairs Medical Center, Center of Innovation in Long-Term Services and Supports, Providence, Rhode Island, USA.,Professor, Center for Gerontology and Health Care Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Orna Inrator
- Professor, Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA.,Research Health Scientist, Geriatrics & Extended Care Data & Analysis Center (GEC DAC), Canandaigua VA Medical Center, Canandaigua, New York, USA
| | - Ciaran S Phibbs
- Research Health Scientist, Health Economics Resource Center, Palo Alto VA Health Care System, Palo Alto, California, USA.,Associate Professor, Center for Innovation to Implementation, Stanford University School of Medicine, Palo Alto, California, USA.,Research Health Scientist, Geriatrics and Extended Care Data and Analysis Center, Palo Alto VA Health Care System, Palo Alto, California, USA
| | - Bruce Kinosian
- Associate Professor, Division of Geriatrics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Research Health Scientist, Geriatrics & Extended Care Data & Analysis Center (GEC DAC), Corporal Michael Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Susan M Allen
- Research Health Scientist, U.S. Department of Veterans Affairs Medical Center, Center of Innovation in Long-Term Services and Supports, Providence, Rhode Island, USA.,Professor, Center for Gerontology and Health Care Research, Brown University School of Public Health, Providence, Rhode Island, USA
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Arensberg MB, Brunton C, Drawert S, Richardson B. Prevalence Rates and Characteristics of Malnutrition, Frailty, and Other Nutrition and Muscle Mass-Related Conditions Document Potential Quality of Care Gap for Medicare Patients in US Skilled Nursing Facilities. Geriatrics (Basel) 2022; 7:geriatrics7020042. [PMID: 35447845 PMCID: PMC9027965 DOI: 10.3390/geriatrics7020042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/25/2022] [Accepted: 03/29/2022] [Indexed: 02/01/2023] Open
Abstract
Changes to the payment structure of the United States (U.S.) healthcare system are leading to an increased acuity level of patients receiving short-term skilled nursing facility care. Most skilled nursing facility patients are older, and many have medical conditions that cannot be changed. However, conditions related to nutrition/muscle mass may be impacted if there is early identification/intervention. To help determine the diagnosis and potential impact of nutrition/muscle mass-related conditions in skilled nursing facilities, this study evaluated 2016–2020 US Medicare claims data. Methods aimed to identify a set of skilled nursing facility claims with one or more specific diagnoses (COVID-19, malnutrition, sarcopenia, frailty, obesity, diabetes, and/or pressure injury) and then to determine length of stay, discharge status, total charges, and total payments for each claim. Mean values per beneficiary were computed and between–group comparisons were performed. Results documented that each year, the total number of Medicare skilled nursing facility claims declined, whereas the percentage of claims for each study diagnosis increased significantly. For most conditions, potentially related to nutrition/muscle mass, Medicare beneficiaries had a shorter length of skilled nursing facility stays compared to those without the condition(s). Furthermore, a lower percentage of these Medicare beneficiaries were discharged home (except for those with claims for sarcopenia and obesity). Total claim charges for those with nutrition/muscle mass-related conditions exceeded those without (except for those with sarcopenia). We conclude that although the acuity level of patients in skilled nursing facilities continues to increase, skilled nursing facility Medicare claims for nutrition/muscle mass-related conditions are reported at lower levels than their likely prevalence. This represents a potential care gap and requires action to help improve patient health outcomes and skilled nursing facility quality metrics.
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Affiliation(s)
- Mary Beth Arensberg
- Abbott Nutrition Division of Abbott, Columbus, OH 43219, USA;
- Correspondence:
| | - Cory Brunton
- Abbott Nutrition Division of Abbott, Columbus, OH 43219, USA;
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DI Monaco M, Castiglioni C, Bardesono F, Milano E, Massazza G. Sarcopenic obesity and function in women with subacute hip fracture: a short-term prospective study. Eur J Phys Rehabil Med 2021; 57:940-947. [PMID: 33759440 DOI: 10.23736/s1973-9087.21.06720-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The prognostic role exerted by the concurrent presence of sarcopenia and obesity after hip fracture has not been elucidated. AIM To assess the effect of sarcopenic obesity on ability to function in women with subacute hip fracture. DESIGN Short-term prospective study. SETTING Rehabilitation hospital. POPULATION Women with subacute hip fracture. METHODS At admission, grip strength, by a Jamar dynamometer, and body composition by dual-energy x-ray absorptiometry were assessed. Sarcopenia was defined according to the criteria released by the European Working Group for Sarcopenia in Older People in 2019, with both grip strength < 16kg and appendicular lean mass (aLM) < 15kg. Alternatively, aLM/(height)2 < 5.5kg/m2 was substituted for aLM < 15kg to confirm sarcopenia in the women with grip strength < 16kg. Obesity was diagnosed with fat mass exceeding 40% of total body mass. Function was assessed by the Barthel index. RESULTS We assessed 183 of 200 women. Sarcopenic women had lower Barthel index scores assessed at the end of subacute inpatient rehabilitation (U=300,0; z=-4.3; P<0.001) and lower Batrhel index effectiveness (U=310,0; z=-4.2; P<0.001) than non-sarcopenic women. Conversely, we found no significant differences in function between obese and non-obese women. The concurrent presence of sarcopenia and obesity did not worsen the functional prognosis versus the presence of isolated sarcopenia. After adjustment for Barthel index scores before rehabilitation, age, hip-fracture type and cognitive impairment, sarcopenia was significantly associated with Barthel index scores (P=0.001) and Barthel index effectiveness (P<0.001), whereas obesity was not. The results did not materially change when aLM/(height)2 < 5.5kg/m2 was substituted for aLM <15kg to confirm sarcopenia in the women whose handgrip strength was < 16kg. CONCLUSIONS The concurrent presence of obesity did not worsen the negative prognostic role of sarcopenia in the short-term recovery of ability to function after hip fracture in women. CLINICAL REHABILITATION IMPACT In women with subacute hip fracture, sarcopenia but not obesity should be assessed to contribute to the prediction of the short-term functional outcome.
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Affiliation(s)
- Marco DI Monaco
- Osteoporosis Research Center, Division of Physical and Rehabilitation Medicine, Presidio Sanitario San Camillo, Fondazione Opera San Camillo, Torino, Italy -
| | - Carlotta Castiglioni
- Osteoporosis Research Center, Division of Physical and Rehabilitation Medicine, Presidio Sanitario San Camillo, Fondazione Opera San Camillo, Torino, Italy
| | - Francesca Bardesono
- Division of Physical and Rehabilitation Medicine, Department of Surgical Sciences, University, Torino, Italy
| | - Edoardo Milano
- Osteoporosis Research Center, Division of Physical and Rehabilitation Medicine, Presidio Sanitario San Camillo, Fondazione Opera San Camillo, Torino, Italy
| | - Giuseppe Massazza
- Division of Physical and Rehabilitation Medicine, Department of Surgical Sciences, University, Torino, Italy
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Harris JA, Engberg J, Castle NG. Organizational and Geographic Nursing Home Characteristics Associated With Increasing Prevalence of Resident Obesity in the United States. J Appl Gerontol 2020; 39:991-999. [PMID: 31018750 PMCID: PMC7192234 DOI: 10.1177/0733464819843045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Nursing home resident obesity increases the complexity of nursing care, and nursing homes report avoiding residents with obesity when choosing which prospective residents to accept. The objective of this study was to examine the associations between nursing home obesity prevalence rate and nursing home organizational, staffing, resident, and geographic factors within a profit maximization framework. The study cohort included U.S. Centers for Medicare and Medicaid Services data from U.S. nursing homes in 2013. Study findings supported hypothesized associations between obesity prevalence rate and higher occupancy, higher bed capacity, and multi-facility affiliation, but findings did not support a relationship between obesity prevalence rate and for-profit status.
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Temkin-Greener H, Wang S, Caprio T, Mukamel DB, Cai S. Obesity among Nursing Home Residents: Association with Potentially Avoidable Hospitalizations. J Am Med Dir Assoc 2020; 21:1331-1335.e1. [PMID: 32631800 PMCID: PMC7483884 DOI: 10.1016/j.jamda.2020.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 03/06/2020] [Accepted: 03/09/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND/OBJECTIVES Studies show that in nursing homes (NHs), the prevalence of moderate-to-severe obesity has doubled in the last decade and continues to increase. Obese residents are often complex and costly, and this increase in prevalence has come at a time when NHs struggle to decrease hospitalizations, particularly those that are potentially avoidable. This study examined the association between obesity and hospitalizations. DESIGN We linked 2011-2014 national data using Medicare NH assessments, hospital claims, and the NH Compare. SETTING AND PARTICIPANTS Individuals aged ≥65 years, newly admitted to NHs, who became long-term residents between July 1, 2011 and March 26, 2014. The analytical sample included 490,086 residents. METHODS NH-originating hospitalization was the outcome; a categorical variable defined as no hospitalization, potentially avoidable hospitalization (PAH), and other hospitalization (non-PAH). The main independent variable was body mass index (BMI) defined as normal weight (30 >BMI ≥18.5 kg/m2), mildly obese (35 >BMI ≥30 kg/m2), or moderately-to-severely obese (BMI ≥35 kg/m2). Covariates included individual and NH characteristics. Multinomial models with NH random effects and state dummies were estimated. RESULTS After adjusting for individual level covariates, the risk of non-PAH for the mildly and moderate/severely obese was not different from normal weight residents. But the risk of PAH remained significantly higher for the moderate/severely obese (relative risk ratio = 1.055; 95% confidence interval 1.018, 1.094). Several NH-level factors also influenced hospitalization risk. CONCLUSIONS AND IMPLICATIONS Obese residents are more likely to experience PAH but not non-PAH. Efforts to improve care for these residents may need to broadly consider the ability of NHs to commit additional resources to fully integrate care for this growing segment of the population.
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Affiliation(s)
- Helena Temkin-Greener
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry. Rochester, NY.
| | - Sijiu Wang
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry. Rochester, NY
| | - Thomas Caprio
- Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Dana B Mukamel
- Department of Medicine, Director, iTEQC Research Program, University of California at Irvine, Irvine, CA
| | - Shubing Cai
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry. Rochester, NY
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Cai S, Wang S, Mukamel DB, Caprio T, Temkin-Greener H. Hospital Readmissions Among Post-acute Nursing Home Residents: Does Obesity Matter? J Am Med Dir Assoc 2019; 20:1274-1279.e4. [PMID: 30853424 PMCID: PMC7273841 DOI: 10.1016/j.jamda.2019.01.136] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 01/14/2019] [Accepted: 01/16/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVES To explore profiles of obese residents who receive post-acute care in nursing homes (NHs) and to assess the relationship between obesity and hospital readmissions and how it is modified by individual comorbidities, age, and type of index hospitalizations. DESIGN Retrospective cohort study. SETTING AND PARTICIPANTS Medicare fee-for-service beneficiaries who were newly admitted to free-standing US NHs after an acute inpatient episode between 2011 and 2014 (N = 2,323,019). MEASURES The Minimum Data Set 3.0 were linked with Medicare data. The outcome variable was 30-day hospital readmission from an NH. Residents were categorized into 3 groups based on their body mass index (BMI): nonobese, mildly obese, moderate-to-severely obese. We tested the relationship between obesity and 30-day readmissions by fixed-effects logit models and stratified analyses by the type of index hospitalization and residents' age. RESULTS Forty percent of the identified residents were admitted after a surgical episode, and the rest were admitted after a medical episode. The overall relationship between obesity and readmissions suggested that obesity was associated with higher risks of readmission among the oldest old (≥85 years) residents but with lower risks of readmission among the youngest group (65-74 years). After accounting for individual co-covariates, the association between obesity and readmissions among the oldest old residents became weaker; the adjusted odds ratio was 1.061 (P = .049) and 1.004 (P = .829) for moderate-to-severely obese patients with surgical and medical index hospitalizations, respectively. The protective effect of obesity among younger residents reduced after adjusting for covariates. CONCLUSIONS/RELEVANCE The relationship between obesity and hospital readmission among post-acute residents could be affected by comorbidities, age, and the type of index hospitalization. Further studies are also warranted to understand how to effectively measure NH quality outcomes, including hospital readmissions, so that policies targeting at quality improvement can successfully achieve their goals without unintended consequences.
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Affiliation(s)
- Shubing Cai
- Department of Public Health Sciences, University of Rochester School of Medicine, Rochester, NY.
| | - Sijiu Wang
- Department of Public Health Sciences, University of Rochester School of Medicine, Rochester, NY
| | - Dana B Mukamel
- iTEQC Research Program, Medicine-Division of General Internal Medicine, University of California, Irvine, CA
| | - Thomas Caprio
- Department of Medicine, University of Rochester School of Medicine, Rochester, NY
| | - Helena Temkin-Greener
- Department of Public Health Sciences, University of Rochester School of Medicine, Rochester, NY
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Lepore MJ, Rochford H. Addressing Food Insecurity and Malnourishment Among Older Adults: The Critical Role of Older Americans Act Nutrition Programs. ACTA ACUST UNITED AC 2019. [DOI: 10.1093/ppar/prz003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Body Mass Index and 30-Day Adverse Outcomes Among Newly Admitted Residents to Skilled Nursing Facilities. J Am Med Dir Assoc 2019; 20:312-316. [DOI: 10.1016/j.jamda.2018.10.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 09/28/2018] [Accepted: 10/16/2018] [Indexed: 11/22/2022]
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Kosar CM, Thomas KS, Gozalo PL, Mor V. Higher Level of Obesity Is Associated with Intensive Personal Care Assistance in the Nursing Home. J Am Med Dir Assoc 2018; 19:1015-1019. [PMID: 29935981 PMCID: PMC6237619 DOI: 10.1016/j.jamda.2018.04.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 03/29/2018] [Accepted: 04/20/2018] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To examine whether higher obesity level was associated with extensive staffing assistance (from 2 or more persons) for completing activities of daily living (ADL) among older nursing home residents. DESIGN Retrospective cross-sectional study. SETTING US government-certified nursing homes. PARTICIPANTS Medicare beneficiaries residing in a nursing home on April 1, 2015. Exclusion criteria were age less than 65 years and body mass index (BMI) below 18.5 (underweight). MEASURES Residents were divided by obesity level according to established BMI cutoffs, as follows: nonobese (BMI = 18.5-29.9) or mild (BMI = 30.0-34.9), moderate (BMI = 35.0-39.9), or severe (BMI ≥40) obesity. Level of staffing assistance for completing each of 10 ADL (bed mobility, transfer, walking in room, walking in corridor, on- and off-unit locomotion, dressing, eating, toileting, and personal hygiene) was dichotomized as below 2 and 2 or more. Robust Poisson regression was used to test whether obesity conferred excess risk for needing 2 or more staff to complete each ADL. Adjusted models included individual-level covariates and nursing home fixed effects. RESULTS A total of 1,063,383 nursing home residents were identified, including 309,263 (29.0%) with obesity. Adjusted relative risks (95% confidence intervals) for 2-person assistance with bed mobility associated with mild, moderate, and severe obesity were 1.17 (1.15, 1.18), 1.28 (1.25, 1.31), and 1.40 (1.36, 1.43), respectively. Adjusted relative risks for 2-person assistance with transferring associated with mild, moderate, and severe obesity were 1.15 (1.13, 1.17), 1.24 (1.22, 1.27), and 1.36 (1.33, 1.39), respectively. Obesity was associated with 2-person assistance for all other ADL except for eating. CONCLUSIONS Higher obesity level was significantly associated with assistance from 2 or more staff for completing 9 of 10 ADL. Given increasing obesity rates in nursing homes, payment mechanisms that do not adjust for obesity or comprehensively account for excess ADL assistance may need revision to prevent adverse impacts on the long-term care system.
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Affiliation(s)
- Cyrus M Kosar
- Center for Gerontology and Healthcare Research, Brown University, Providence, RI.
| | - Kali S Thomas
- Center for Gerontology and Healthcare Research, Brown University, Providence, RI; Department of Veteran Affairs Medical Center, Providence, RI
| | - Pedro L Gozalo
- Center for Gerontology and Healthcare Research, Brown University, Providence, RI
| | - Vincent Mor
- Center for Gerontology and Healthcare Research, Brown University, Providence, RI; Department of Veteran Affairs Medical Center, Providence, RI
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