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J Am Coll Emerg Physicians Open ; 2(2): e12407, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1139230

ABSTRACT

OBJECTIVE: To determine if oxygen saturation (out-of-hospital SpO2), measured by New York City (NYC) 9-1-1 Emergency Medical Services (EMS), was an independent predictor of coronavirus disease 2019 (COVID-19) in-hospital mortality and length of stay, after controlling for the competing risk of death. If so, out-of-hospital SpO2 could be useful for initial triage. METHODS: A population-based longitudinal study of adult patients transported by EMS to emergency departments (ED) between March 5 and April 30, 2020 (the NYC COVID-19 peak period). Inclusion required EMS prehospital SpO2 measurement while breathing room air, transport to emergency department, and a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcription polymerase chain reaction test. Multivariable logistic regression modeled mortality as a function of prehospital SpO2, controlling for covariates (age, sex, race/ethnicity, and comorbidities). A competing risk model also was performed to estimate the absolute risks of out-of-hospital SpO2 on the cumulative incidence of being discharged from the hospital alive. RESULTS: In 1673 patients, out-of-hospital SpO2 and age were independent predictors of in-hospital mortality and length of stay, after controlling for the competing risk of death. Among patients ≥66 years old, the probability of death was 26% with an out-of-hospital SpO2 >90% versus 54% with an out-of-hospital SpO2 ≤90%. Among patients <66 years old, the probability of death was 11.5% with an out-of-hospital SpO2 >90% versus 31% with an out-of-hospital SpO2 ≤ 90%. An out-of-hospital SpO2 level ≤90% was associated with over 50% decreased likelihood of being discharged alive, regardless of age. CONCLUSIONS: Out-of-hospital SpO2 and age predicted in-hospital mortality and length of stay: An out-of-hospital SpO2 ≤90% strongly supports a triage decision for immediate hospital admission. For out-of-hospital SpO2 >90%, the decision to admit depends on multiple factors, including age, resource availability (outpatient vs inpatient), and the potential impact of new treatments.

2.
Health Aff (Millwood) ; 39(8): 1437-1442, 2020 08.
Article in English | MEDLINE | ID: covidwho-594919

ABSTRACT

New York City Health + Hospitals is the largest safety-net health care delivery system in the United States. Before the coronavirus disease 2019 (COVID-19) pandemic, NYC Health + Hospitals served more than one million patients annually, including the most vulnerable New Yorkers, while billing fewer than five hundred telehealth visits monthly. Once the pandemic struck, we established a strategy to allow us to continue to serve our existing patients while treating the surge of new patients. Starting in March 2020, we were able to transform the system using virtual care platforms through which we conducted almost eighty-three thousand billable televisits in one month, as well as more than thirty thousand behavioral health encounters via telephone and video. Telehealth also enabled us to support patient-family communication, postdischarge follow-up, and palliative care for patients with COVID-19. Expanded Medicaid coverage and insurance reimbursement for telehealth played a pivotal role in this transformation. As we move to a new blend of virtual and in-person care, it is vital that the major regulatory and insurance changes undergirding our COVID-19 telehealth response be sustained to protect access for our most vulnerable patients.


Subject(s)
Communicable Disease Control/organization & administration , Coronavirus Infections/epidemiology , Delivery of Health Care/organization & administration , Pandemics/statistics & numerical data , Pneumonia, Viral/epidemiology , Safety-net Providers/organization & administration , Telemedicine/organization & administration , COVID-19 , Coronavirus Infections/prevention & control , Female , Humans , Interdisciplinary Communication , Male , New York City , Outcome Assessment, Health Care , Pandemics/prevention & control , Pneumonia, Viral/prevention & control
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