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1.
J Am Geriatr Soc ; 2023 Apr 20.
Article in English | MEDLINE | ID: covidwho-2290448

ABSTRACT

Resilience, which relates to one's ability to respond to stressors, typically declines with age and the development of comorbid conditions in older organisms. Although progress has been made to improve our understanding of resilience in older adults, disciplines have employed different frameworks and definitions to study various aspects of older adults' response to acute or chronic stressors. "Overview of the Resilience World: State of the Science," a bench-to-bedside conference on October 12-13, 2022, was sponsored by the American Geriatrics Society and National Institute on Aging. This conference, summarized in this report, explored commonalities and differences among the frameworks of resilience most commonly used in aging research in the three domains of resilience: physical, cognitive, and psychosocial. These three main domains are intertwined, and stressors in one domain can lead to effects in other domains. The themes of the conference sessions included underlying contributors to resilience, the dynamic nature of resilience throughout the life span, and the role of resilience in health equity. Although participants did not agree on a single definition of "resilience(s)," they identified common core elements of a definition that can be applied to all domains and noted unique features that are domain specific. The presentations and discussions led to recommendations for new longitudinal studies of the impact of exposures to stressors on resilience in older adults, the use of new and existing cohort study data, natural experiments (including the COVID-19 pandemic), and preclinical models for resilience research, as well as translational research to bring findings on resilience to patient care.

2.
Med Care ; 59(10): 888-892, 2021 10 01.
Article in English | MEDLINE | ID: covidwho-1337299

ABSTRACT

BACKGROUND: Despite many studies reporting disparities in coronavirus disease-2019 (COVID-19) incidence and outcomes in Black and Hispanic/Latino populations, mechanisms are not fully understood to inform mitigation strategies. OBJECTIVE: The aim was to test whether neighborhood factors beyond individual patient-level factors are associated with in-hospital mortality from COVID-19. We hypothesized that the Area Deprivation Index (ADI), a neighborhood census-block-level composite measure, was associated with COVID-19 mortality independently of race, ethnicity, and other patient factors. RESEARCH DESIGN: Multicenter retrospective cohort study examining COVID-19 in-hospital mortality. SUBJECTS: Inclusion required hospitalization with positive SARS-CoV-2 test or COVID-19 diagnosis at three large Midwestern academic centers. MEASURES: The primary study outcome was COVID-19 in-hospital mortality. Patient-level predictors included age, sex, race, insurance, body mass index, comorbidities, and ventilation. Neighborhoods were examined through the national ADI neighborhood deprivation rank comparing in-hospital mortality across ADI quintiles. Analyses used multivariable logistic regression with fixed site effects. RESULTS: Among 5999 COVID-19 patients median age was 61 (interquartile range: 44-73), 48% were male, 30% Black, and 10.8% died. Among patients who died, 32% lived in the most disadvantaged quintile while 11% lived in the least disadvantaged quintile; 52% of Black, 24% of Hispanic/Latino, and 8.5% of White patients lived in the most disadvantaged neighborhoods.Living in the most disadvantaged neighborhood quintile predicted higher mortality (adjusted odds ratio: 1.74; 95% confidence interval: 1.13-2.67) independent of race. Age, male sex, Medicare coverage, and ventilation also predicted mortality. CONCLUSIONS: Neighborhood disadvantage independently predicted in-hospital COVID-19 mortality. Findings support calls to consider neighborhood measures for vaccine distribution and policies to mitigate disparities.


Subject(s)
COVID-19/epidemiology , Ethnicity/statistics & numerical data , Hospital Mortality/trends , Racial Groups/statistics & numerical data , Residence Characteristics/statistics & numerical data , Age Factors , COVID-19 Testing , Comorbidity , Humans , Insurance, Health/statistics & numerical data , Male , Middle Aged , Midwestern United States/epidemiology , Poverty/statistics & numerical data , Retrospective Studies , Sex Factors
3.
J Clin Nurs ; 30(11-12): 1564-1572, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1069408

ABSTRACT

AIMS AND OBJECTIVES: Our objective was to rapidly adapt and scale a registered nurse-driven Coordinated Transitional Care (C-TraC) programme to provide intensive home monitoring and optimise care for outpatient Veterans with COVID-19 in a large urban Unites States healthcare system. BACKGROUND: Our diffuse primary care network had no existing model of care by which to provide coordinated result tracking and monitoring of outpatients with COVID-19. DESIGN: Quality improvement implementation project. METHODS: We used the Replicating Effective Programs model to guide implementation, iterative Plan-Do-Study-Act cycles and SQUIRE reporting guidelines. Two transitional care registered nurses, and a geriatrician medical director developed a protocol that included detailed initial assessment, overnight delivery of monitoring equipment and phone-based follow-up tailored to risk level and symptom severity. We tripled programme capacity in time for the surge of cases by training Primary Care registered nurses. RESULTS: Between 23 March and 15 May 2020, 120 Veterans with COVID-19 were enrolled for outpatient monitoring; over one-third were aged 65 years or older, and 70% had medical conditions associated with poor COVID-19 outcomes. All Veterans received an initial call within a few hours of the laboratory reporting positive results. The mean length of follow-up was 8.1 days, with an average of 4.2 nurse and 1.3 physician or advanced practice clinician contacts per patient. The majority (85%) were managed entirely in the outpatient setting. After the surge, the model was disseminated to individual primary care teams through educational sessions. CONCLUSION: A model based on experienced registered nurses can provide comprehensive, effective and sustainable outpatient monitoring to high-risk populations with COVID-19.


Subject(s)
COVID-19 , Transitional Care , Humans , Outpatients , Quality Improvement , SARS-CoV-2
4.
Health Aff (Millwood) ; 39(6): 1097, 2020 06.
Article in English | MEDLINE | ID: covidwho-940072
5.
J Hosp Med ; 15(8): 495-497, 2020 08.
Article in English | MEDLINE | ID: covidwho-721648

ABSTRACT

Rarely, if ever, does a national healthcare system experience such rapid and marked change as that seen with the COVID-19 pandemic. In March 2020, the president of the United States declared a national health emergency, enabling the Department of Health & Human Services authority to grant temporary regulatory waivers to facilitate efficient care delivery in a variety of healthcare settings. The statutory requirement that Medicare beneficiaries stay three consecutive inpatient midnights to qualify for post-acute skilled nursing facility coverage is one such waiver. This so-called Three Midnight Rule, dating back to the 1960s as part of the Social Security Act, is being scrutinized more than half a century later given the rise in observation hospital stays. Despite the tragic emergency circumstances prompting waivers, the Centers for Medicare & Medicaid Services and Congress now have a unique opportunity to evaluate potential improvements revealed by COVID-19 regulatory relief and should consider permanent reform of the Three Midnight Rule.


Subject(s)
Centers for Medicare and Medicaid Services, U.S./organization & administration , Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Skilled Nursing Facilities/legislation & jurisprudence , Subacute Care/legislation & jurisprudence , Betacoronavirus , COVID-19 , Centers for Medicare and Medicaid Services, U.S./legislation & jurisprudence , Health Care Reform , Humans , Medicare/legislation & jurisprudence , Outpatients , Pandemics , SARS-CoV-2 , United States
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