Clinical Management Strategies in Mild COVID-19 cases in Latin-America: A Decision Model
Keywords:Coronavirus infections, Theoretical models, Resource allocation
COVID-19 pandemic is challenging Latin American health systems, which could benefit from information to make appropriate decisions in contexts of constrained health resources.
Objective: to evaluate, in adult patients with suspected mild clinical forms of COVID-19, the clinical effectiveness (life expectancy) and resource consumption (days of hospitalization) of different management strategies.
Methods: stochastic decision tree comparing the conventional strategy recommended by WHO - PAHO (diagnostic test for COVID-19 and hospitalization of patients testing positive) versus two alternative strategies (immediate addition of a prognostic test with hospitalization according to its result, or follow-up with hospitalization only in case of clinical deterioration).
Results: the alternative management strategies showed expected clinical utility similar to the conventional strategy in 80 years-old base cases, and slightly lower in 60 years- and 40 years-old base cases, with lower consumption of hospitalization days. In sensitivity analysis, alternative strategies comparatively improved their expected clinical utility given a lower sensitivity of the diagnostic test or a higher ability of the follow-up to detect clinical worsening.
Conclusions: in cases of suspected COVID-19 without pneumonic infiltrate or signs of severity, alternative strategies can be considered to avoid hospitalization for the majority of patients, especially if efficient follow-up modalities can be implemented. This information is valuable for health decision-makers, to carefully weight clinical and epidemiological elements and design locally feasible strategies.
Copyright (c) 2020 Carlos Boissonnet, Mariano Giorgi, Lucila Carosella, Carola Brescacín, Jerónimo Pissinis, Javier Guetta
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