Clinical characteristics and factors associated with the hospital admission of people with Covid-19 monitored by telehealth
DOI:
https://doi.org/10.11606/issn.2176-7262.rmrp.2024.218499Keywords:
COVID-19, Epidemiology, Natural history of diseases, Telemedicine, TelemonitoringAbstract
Objective: to describe the clinical characteristics and analyze the factors associated with hospitalization of patients treated by a public teleconsultation and telemonitoring service for suspected cases of COVID-19 (TeleCOVID-MG). Method: cross-sectional study with analysis of electronic records of patients with flu-like syndrome, treated by TeleCOVID-MG between May 2020 and December 2021. The outcome was the need for hospitalization registered in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) or self reported by the patient. Logistic regression was performed to assess the independent association of the explanatory variables with the outcome, with a significance level of 5 %. Results: 8,325 patients were treated, 63.1 % female, 8.3 % aged 60 years or older, and 36.6 % with some risk comorbidity, with 11 % reporting
signs of severity, and 169 (2.0 %) patients requiring hospitalization. The factors independently associated with hospitalization were: male (ORaj: 2.04; 95%CI 1.46-2.85); age between 40 and 59 years (ORaj: 4.09; 95%CI 2.65-6.32) or over 60 years (ORaj: 14.86; 95%CI 9.33-23.68); rheumatological (ORaj: 2.50; 95%CI 1.11-5.62) or oncological (ORaj: 3.02; 95%CI 1.27-7.16) diseases; report of dyspnea (ORaj: 3.00; 95%CI 2.05-4.39); fever (ORaj: 2.06; 95%CI 1.48-2.87); cough (ORaj: 1.67; 95%CI 1.13-2.45); myalgia (ORaj: 2.54; 95%CI 1.81-3.57); and runny nose (ORaj: 1.93; 95%CI 1.38-2.70). Conclusion: recognizing populations susceptible to severe forms of COVID-19 can guide clinical management to prevent complications, in addition to contributing to the strategic planning of the health care network in line with in-person health services.
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Copyright (c) 2024 Aline Carrilho Menezes, Clareci Silva Cardoso, Clara Rodrigues Alves de Oliveira, Ana Flávia Avelar Maia Seixas, Hygor Kleber Cabral Silva, Mayara Santos Mendes, Antônio Luiz Pinho Ribeiro, Gustavo Machado Rocha
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