Cost Analysis of Hospitalization for COVID-19 in a Brazilian Public Teaching Hospital.

This study aimed to measure the hospitalization costs for suspect or confirmation cases of COVID-19 and aggregate knowledge in the costing process for future research on related topics. A cost calculation model was applied using absorption costing technique. Cost was allocated into 2 main groups: hospitalization and personnel. The cost analysis considers the hospital perspective. This is a retrospective study whose data were collected between April and September 2020, equivalent to the first wave of the disease in Brazil. This research uses data from Hospital Information System, Brazilian Unified Health System (SUS) Cost Calculation and Management System, and SUS Hospital Information System. The average total cost per hospitalization was US$11 260 (R$63 504) for patients suspect or confirmed by COVID-19, and considering only detectable cases, the value was US$17 178 (R$96 886). The profile of hospitalized patients was male (51%), with a mean age of 59 years, white ethnicity (64%), and average length of stay of 9 days. The amount approved by SUS for remuneration of hospitalizations by COVID-19 proved to be insufficient to cover the calculated costs. The results of this study collaborate to measure the expenditure of hospital institutions with COVID-19 hospitalizations, contribute as a parameter for health managers to identify whether the values attributed to hospitalization by COVID-19 by the SUS are adequate to cover all costs involved, and provide lessons learned on costs to the public health system in the event of new pandemics. • Few studies presented information about the sufficiency (or not) of resources to pay for the hospitalization of the COVID-19 in Brazil. • This article applies an original method to estimate hospitalization costs for COVID-19 in a public hospital at Brazilian Unified Health System. • This research found that Brazilian Unified Health System–approved values of hospitalizations by COVID-19 are insufficient to cover the calculated costs at a Brazilian public teaching hospital analyzed. [ABSTRACT FROM AUTHOR]