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1.
J Gen Intern Med ; 35(11): 3302-3307, 2020 11.
Artigo em Inglês | MEDLINE | ID: mdl-32875494

RESUMO

BACKGROUND: Skilled nursing facilities (SNFs) are high-risk settings for SARS-CoV-2 transmission. Infection rates among employees are infrequently described. OBJECTIVE: To describe SARS-CoV-2 rates among SNF employees and residents during a non-outbreak time period, we measured cross-sectional SARS-CoV-2 prevalence across multiple sites in the Seattle area. DESIGN: SARS-CoV-2 testing was performed for SNF employees and residents using quantitative real-time reverse transcription polymerase chain reaction. A subset of employees completed a sociodemographic and symptom questionnaire. PARTICIPANTS: Between March 29 and May 13, 2020, we tested 1583 employees and 1208 residents at 16 SNFs for SARS-CoV-2. MAIN MEASURE: SARS-CoV-2 testing results and symptom report among employees and residents. KEY RESULTS: Eleven of the 16 SNFs had one or more resident or employee test positive. Overall, 46 (2.9%) employees had positive or inconclusive testing for SARS-CoV-2, and among those who completed surveys, most were asymptomatic and involved in direct patient care. The majority of employees tested were female (934, 73%), and most employees were Asian (392, 30%), Black (360, 28%), or white (360, 28%). Among the 1208 residents tested, 110 (9.1%) had positive or inconclusive results. There was no association between the presence of positive residents and positive employees within a SNF (p = 0.62, McNemar's test). CONCLUSIONS: In the largest study of SNFs to date, SARS-CoV-2 infections were detected among both employees and residents. Employees testing positive were often asymptomatic and involved in direct patient care. Surveillance testing is needed for SNF employees and residents during the pandemic response.


Assuntos
Teste para COVID-19/métodos , COVID-19/epidemiologia , Pessoal de Saúde/estatística & dados numéricos , Instituições de Cuidados Especializados de Enfermagem/estatística & dados numéricos , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19/diagnóstico , Teste para COVID-19/estatística & dados numéricos , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Doenças Profissionais/epidemiologia , Prevalência , SARS-CoV-2 , Instituições de Cuidados Especializados de Enfermagem/organização & administração , Inquéritos e Questionários , Washington/epidemiologia , Adulto Jovem
2.
J Am Coll Surg ; 231(3): 316-324.e1, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32561446

RESUMO

BACKGROUND: Washington State experienced the first major outbreak of COVID-19 in the US and despite a significant number of cases, has seen a relatively low death rate per million population compared with other states with major outbreaks, and has seen a substantial decrease in the projections for healthcare use, that is, "flattening the curve." This consensus report seeks to identify the key factors contributing to the effective health system disaster response in western WA. METHODS: A multidisciplinary, expert panel including individuals and organizations who were integral to managing the public health and emergency healthcare system response were engaged in a consensus process to identify the key themes and lessons learned and develop recommendations for ongoing management of the COVID-19 pandemic. RESULTS: Six key themes were identified, including early communication and coordination among stakeholders; regional coordination of the healthcare system response; rapid development and access to viral testing; proactive management of long-term care and skilled nursing facilities; proactive management of vulnerable populations; and effective physical distancing in the community. CONCLUSIONS: Based on the lessons learned in each of the areas identified by the panel, 11 recommendations are provided to support the healthcare system disaster response in managing future outbreaks.


Assuntos
Betacoronavirus , Controle de Doenças Transmissíveis/organização & administração , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/prevenção & controle , Atenção à Saúde/organização & administração , Pandemias/prevenção & controle , Pneumonia Viral/epidemiologia , Pneumonia Viral/prevenção & controle , COVID-19 , Comunicação , Infecções por Coronavirus/diagnóstico , Serviços Médicos de Emergência/organização & administração , Humanos , Assistência de Longa Duração/organização & administração , Pneumonia Viral/diagnóstico , SARS-CoV-2 , Participação dos Interessados , Washington/epidemiologia
3.
J Clin Anesth ; 47: 33-42, 2018 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-29550619

RESUMO

Frailty is an age-related, multi-dimensional state of decreased physiologic reserve that results in diminished resiliency and increased vulnerability to stressors. It has proven to be an excellent predictor of unfavorable health outcomes in the older surgical population. There is agreement in recommending that a frailty evaluation should be part of the preoperative assessment in the elderly. However, the consensus is still building with regards to how it should affect perioperative care. The Society for Perioperative Assessment and Quality Improvement (SPAQI) convened experts in the fields of gerontology, anesthesiology and preoperative assessment to outline practical steps for clinicians to assess and address frailty in elderly patients who require elective intermediate or high risk surgery. These recommendations summarize evidence-based principles of measuring and screening for frailty, as well as basic interventions that can help improve patient outcomes.


Assuntos
Anestesiologia/métodos , Procedimentos Cirúrgicos Eletivos/efeitos adversos , Fragilidade/diagnóstico , Assistência Perioperatória/métodos , Melhoria de Qualidade , Idoso , Anestesiologia/normas , Medicina Baseada em Evidências/métodos , Medicina Baseada em Evidências/normas , Feminino , Idoso Fragilizado , Humanos , Masculino , Assistência Perioperatória/normas , Complicações Pós-Operatórias/etiologia , Complicações Pós-Operatórias/prevenção & controle , Prognóstico , Medição de Risco/métodos , Medição de Risco/normas , Fatores Sexuais
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