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Intern Emerg Med ; 16(6): 1673-1682, 2021 09.
Artigo em Inglês | MEDLINE | ID: mdl-33625661

RESUMO

To evaluate the effectiveness of an integrated emergency department (ED)/hospital at home (HH) medical care model in mild COVID-19 pneumonia and evaluate baseline predictors of major outcomes and potential savings. Retrospective cohort study with patients evaluated for COVID-19 pneumonia in the ED, from March 3 to April 30, 2020. All of them were discharged home and controlled by HH. The main outcomes were ED revisit and the need for deferred hospital admission (protocol failure). Outcome predictors were analyzed by simple logistic regression model (OR; 95% CI). Potential savings of this medical care model were estimated. Of the 377 patients attended in the ED, 109 were identified as having mild pneumonia and were included in the ED/HH medical care model. Median age was 50.0 years, 52.3% were males and 57.8% had Charlson index ≥ 1. The median HH stay was 8 (IQR 3.7-11) days. COVID-19-related ED revisit was 19.2% (n = 21) within 6 days (IQR 3-12.5) after discharge from ED. Overall protocol failure (deferred hospital admission) was 6.4% (n = 7), without ICU admission. The ED/HH model provided potential cost savings of 77% compared to traditional stay, due to the costs of home care entails 23% of the expenses generated by a conventional hospital stay. 789 days of hospital stay were avoided by HH, rather than hospital admission. An innovative ED/HH model for selected patients with mild COVID-19 pneumonia is feasible, safe and effective. Less than 6.5% of patients requiring deferred hospital admission and potential savings were generated due to hospitalization.


Assuntos
Assistência ao Convalescente/estatística & dados numéricos , COVID-19/terapia , Tempo de Internação/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Idoso , COVID-19/epidemiologia , Estudos de Viabilidade , Humanos , Masculino , Pessoa de Meia-Idade , Avaliação de Resultados em Cuidados de Saúde , Readmissão do Paciente/estatística & dados numéricos , Estudos Retrospectivos , Fatores de Tempo
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