33 results match your criteria: "Geriatrics and Extended Care Data Analysis Center[Affiliation]"

Background: Electronic medical record (EMR)-based studies hold great potential for epidemiologic investigations of Parkinson's disease (PD) causal factors and phenomenology, but diagnostic misclassification may obscure or bias inferences.

Objectives: The aims were to determine the validity of PD diagnostic codes in the Veterans Administration (VA) national electronic medical databases and develop recommendations for maximizing ascertainment accuracy.

Methods: We investigated a cohort of 146,776 veterans who utilized VA healthcare between 1999 and 2021.

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Background: We aimed to identify combinations of long-term services and supports (LTSS) Veterans use, describe transitions between groups, and identify factors influencing transition.

Methods: We explored LTSS across a continuum from home to institutional care. Analyses included 104,837 Veterans Health Administration (VHA) patients 66 years and older at high-risk of long-term institutional care (LTIC).

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Parkinson's Disease Progression and Exposure to Contaminated Water at Camp Lejeune.

Mov Disord

October 2024

Research Service, San Francisco Veterans Affairs Health Care System, San Francisco, California, USA.

Background: We recently reported an increased risk of Parkinson's disease (PD) in service members who resided at Marine Base Camp Lejeune, North Carolina, when water supplies were contaminated with trichloroethylene and other volatile organic compounds (VOCs). Prior studies suggest that environmental exposures may affect PD phenotype or progression, but this has not been reported for VOCs.

Objective: The objective of this study was to test whether PD progression is faster in individuals exposed to VOCs in water at Camp Lejeune.

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Aging Veterans face complex needs across multiple domains. However, the needs of older female Veterans and the degree to which unmet needs differ by sex are unknown. We analyzed responses to the HERO CARE survey from 7,955 Veterans aged 55 years and older (weighted  = 490,148), 93.

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Background: The Veteran-Directed Care (VDC) program serves to assist veterans at risk of long-term institutional care to remain at home by providing funding to hire veteran-selected caregivers. VDC is operated through partnerships between Department of Veterans Affairs (VA) Medical Centers (VAMCs) and third-party Aging and Disability Network Agency providers.

Objective: We aim to identify facilitators, barriers, and adaptations in VDC implementation across 7 VAMCs in 1 region: Veterans Integrated Service Network (VISN) 8, which covers Florida, South Georgia, Puerto Rico, and the US Virgin Islands.

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Trajectories of care and outcomes of Veterans receiving home-based primary care.

J Am Geriatr Soc

January 2024

Division of Geriatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Background: Veterans Affairs (VA) home-based primary care (HBPC) provides comprehensive longitudinal care to patients with complex, chronic disabling disease. While enrollment is associated with lower hospitalization rates and costs, detailed trajectories have not been well described.

Methods: We performed a longitudinal descriptive study of patients newly enrolled in VA HBPC in fiscal year (FY) 2015.

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Comparison of Claims-Based Frailty Indices in U.S. Veterans 65 and Older for Prediction of Long-Term Institutionalization and Mortality.

J Gerontol A Biol Sci Med Sci

October 2023

Geriatrics and Extended Care Data Analysis Center and Center for Health Equity Research and Promotion, Cpl. Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.

Background: Frailty is increasingly recognized as a useful measure of vulnerability in older adults. Multiple claims-based frailty indices (CFIs) can readily identify individuals with frailty, but whether 1 CFI improves prediction over another is unknown. We sought to assess the ability of 5 distinct CFIs to predict long-term institutionalization (LTI) and mortality in older Veterans.

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Background: Keeping older veterans with high needs and high risk (HNHR) who are at risk of long-term institutional care safely in their homes for as long as possible is a Department of Veterans Affairs priority. Older veterans with HNHR face disproportionate barriers and disparities to engaging in their care, including accessing care and services. Veterans with HNHR often have poor ability to maintain health owing to complicated unmet health and social needs.

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Developing a Parsimonious Frailty Index for Older, Multimorbid Adults With Heart Failure Using Machine Learning.

Am J Cardiol

March 2023

VA HSR&D, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas; Department of Medicine, Baylor College of Medicine, Houston, Texas; Big Data Scientist Training Enhancement Program, VA Office of Research and Development, Washington, District of Columbia; Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center, Houston, TX; UTHealth Consortium on Aging, University of Texas Health Science Center, Houston, TX.

Frailty is associated with adverse outcomes in heart failure (HF). A parsimonious frailty index (FI) that predicts outcomes of older, multimorbid patients with HF could be a useful resource for clinicians. A retrospective study of veterans hospitalized from October 2015 to October 2018 with HF, aged ≥50 years, and discharged home developed a 10-item parsimonious FI using machine learning from diagnostic codes, laboratory results, vital signs, and ejection fraction (EF) from outpatient encounters.

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Objective: Frailty is a prevalent risk factor for adverse outcomes among patients with chronic lung disease. However, identifying frail patients who may benefit from interventions is challenging using standard data sources. We therefore sought to identify phrases in clinical notes in the electronic health record (EHR) that describe actionable frailty syndromes.

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STAR-VA is an interdisciplinary behavioral approach for managing distress behaviors in residents with dementia, implemented at Veterans Health Administration nursing homes. This study evaluated the impact of STAR-VA implementation on psychotropic drug use. The study design is a retrospective, quasi-experimental cohort analysis of residents enrolled as STAR-VA training cases compared with eligible residents at untrained sites to evaluate treatment effects on psychotropic medication use.

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Importance: New Centers for Medicare & Medicaid Services waivers created a payment mechanism for hospital at home services. Although it is well established that direct admission to hospital at home from the community as a substitute for hospital care provides superior outcomes and lower cost, the effectiveness of transfer hospital at home-that is, completing hospitalization at home-is unclear.

Objective: To evaluate the outcomes of the transfer component of a Veterans Affairs (VA) Hospital in Home program (T-HIH), taking advantage of natural geographical limitations in a program's service area.

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Proportion of SARS-CoV-2 positive tests and vaccination in Veterans Affairs Community Living Centers.

J Am Geriatr Soc

August 2021

Department of Veterans Affairs, Office of Geriatrics and Extended Care, Veterans Health Administration, Washington, District of Columbia, USA.

Background/objectives: COVID-19 has caused significant morbidity and mortality in nursing homes. Vaccination against SARS-COV-2 holds promise for reduction in COVID-19. This operational analysis describes the proportion of SARS-COV-2 positive tests before, during, and after vaccination.

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Background: Interdisciplinary team (IDT) care is central to home-based primary care (HBPC) of frail elders. Traditionally, all HBPC disciplines managed a patient (Full IDT), a costly approach to maintain. The recent PACE (Program of All-inclusive Care for the Elderly) regulation provides for a flexible approach of annual assessments from a core team with involvement of additional disciplines dependent upon patient needs (Core+).

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Nursing Home and Market Factors and Risk-Adjusted Hospitalization Rates Among Urban, Micropolitan, and Rural Nursing Homes.

J Am Med Dir Assoc

May 2021

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.

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.

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Shortages of Staff in Nursing Homes During the COVID-19 Pandemic: What are the Driving Factors?

J Am Med Dir Assoc

October 2020

Department of Economics, Farmer School of Business, Miami University, Oxford, OH; Scripps Gerontology Center, Miami University, Oxford, OH.

Objectives: During the Coronavirus Disease 2019 (COVID-19) pandemic, US nursing homes (NHs) have been under pressure to maintain staff levels with limited access to personal protection equipment (PPE). This study examines the prevalence and factors associated with shortages of NH staff during the COVID-19 pandemic.

Design: We obtained self-reported information on staff shortages, resident and staff exposure to COVID-19, and PPE availability from a survey conducted by the Centers for Medicare and Medicaid Services in May 2020.

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Objective: The objective of this study was to examine site of death and hospice use, identifying potential disparities among veterans dying in Department of Veterans Affairs (VA) Home Based Primary Care (VA-HBPC).

Methods: Administrative data (2008, 2012, and 2016) were compiled using the VA Residential-History-File which tracks health care service location, daily. Outcomes were site of death [home, nursing home (NH), hospital, inpatient hospice]; and hospice use on the day of death.

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Since 2010, the Veterans Health Administration has initiated a home-based Caring for Older Adults and Caregivers at Home (COACH) program to provide clinical support to dementia patients and family caregivers. But its impact on health care utilization and costs is unknown. We compared 354 COACH care recipients with a propensity score weighted comparison group of 9,857 community-dwelling Veterans during fiscal years 2010-2015.

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Comparing Outcomes Between Thiazide Diuretics and Other First-line Antihypertensive Drugs in Long-term Nursing Home Residents.

Clin Ther

April 2020

University of Rochester School of Medicine and Dentistry, Rochester, NY, USA; Geriatrics and Extended Care Data Analysis Center, US Department of Veterans Affairs, Washington, DC, USA.

Purpose: Hypertension occurs in >50% of US nursing home (NH) residents, but it is unclear which antihypertensive classes offer the best balance of benefits and risks in this population. The objectives of this study were to describe the patterns of antihypertensive medication treatment in this population, focusing on thiazide diuretics, and to determine the association between thiazide diuretics (DIURs) and outcomes important to NH patients.

Methods: This observational cohort study was conducted in long-term NH residents treated for hypertension in the second quarter (Q2) of 2013, from all US NHs.

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Background: Long-stay nursing home (NH) residents are at high risk of having emergency department (ED) visits, but current knowledge regarding risk-adjusted ED rates is limited.

Objectives: To construct and validate 3 quarterly risk-adjusted rates of long-stay residents' ED use: any ED visit, ED visits without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED).

Research Design: The authors calculated quarterly NH risk-adjusted ED rates from 2011 Q2 to 2013 Q3 national Medicare claims and Minimum Data Set data.

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Objectives: To determine the effect of home-based primary care (HBPC) for frail older adults, operating under Independence at Home (IAH) incentive alignment on long-term institutionalization (LTI).

Design: Case-cohort study using HBPC site, Medicare administrative data, and National Health and Aging Trends Study (NHATS) benchmarks.

Setting: Three IAH-participating HBPC sites in Philadelphia, PA, Richmond, VA, and Washington, DC.

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Background: Use of a claims-based index to identify persons with physical function impairment and at risk for long-term institutionalization would facilitate population health and comparative effectiveness research. The JEN Frailty Index [JFI] is comprised of diagnosis domains representing impairments and multimorbid clusters with high long-term institutionalization [LTI] risk. We test the index's discrimination of activities-of-daily-living [ADL] dependency and 1-year LTI and mortality in a nationally representative sample of over 12,000 Medicare beneficiaries, and compare long-term community survival stratified by ADL and JFI.

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Geriatric Patient-Aligned Care Teams (GeriPACT) were implemented in the Department of Veterans Affairs (VA) (i.e., Patient-Centered Medical Homes for older adults) to provide high quality coordinated care to older adults with more risk of negative health and psychosocial outcomes.

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Background/objectives: The Department of Veteran Affairs (VA) Home-Based Primary Care (HBPC) program provides care to over 37,000 high-risk, high-need, medically complex, and costly patients in their home. The VA's Home Telehealth (HT) program can potentially amplify HBPC's efficiency and reach, yet scarce data on use and experience with HT in HBPC exist. This exploratory study sought to provide a glimpse of HT use in HBPC and identify drivers and barriers for HT implementation.

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