Resumo O objetivo geral deste estudo foi avaliar a eficiência técnica dos hospitais de ensino do Brasil por meio da análise envoltória de dados. Para tanto, foi realizada uma pesquisa exploratória de natureza quantitativa utilizando dados secundários do Ministério da Saúde. Foi utilizado o método da análise envoltória de dados (DEA - Data Envelopment Analysis), orientada a output. A população deste estudo constituiu em 29 hospitais de ensino de grande porte nas regiões Centro-Oeste, Sul, Sudeste e Norte do Brasil. Identificou-se que 12 hospitais ficaram localizados na fronteira de eficiência, ou seja, foram relacionados como eficientes na maximização dos outputs (produtos), e 17 ficaram abaixo. Foi estabelecido o valor absoluto para a eficiência daqueles que não atingiram a fronteira por meio de benchmarks com pesos para o espelhamento. Identificou-se, quanto à natureza jurídica, que a personalidade “entidades empresariais” foi mais eficiente, seguida das “entidades sem fins lucrativos” e, por último, da “administração pública”. Os resultados desta pesquisa sugerem que a DEA tem potencial para avaliação de eficiência técnica no âmbito hospitalar quando avaliada a capacidade de produção do estabelecimento.

Abstract The general objective of this study was to assess the technical efficiency of Brazil’s teaching hospitals using data envelopment analysis (DEA). To this end, a quantitative exploratory study was conducted with secondary data from the national health information system (DATASUS) using an output-oriented DEA model. The study population consisted of 29 large-sized teaching hospitals located in the country’s Center-West, South, Southeast, and North regions. Twelve hospitals were shown to be on the efficient frontier (technically efficient) and 17 were off the frontier. Absolute efficiency values were calculated for the hospitals that were off the frontier, using benchmarks with weighting for benchmarking. Private for-profit hospitals were shown to be the most efficient, followed by private not-for-profit and public facilities. The findings of this study suggest that DEA has potential for assessing technical efficiency in hospital settings in relation to operational capacity.

Resumo O objetivo geral deste estudo foi avaliar a eficiência técnica dos hospitais de ensino do Brasil por meio da análise envoltória de dados. Para tanto, foi realizada uma pesquisa exploratória de natureza quantitativa utilizando dados secundários do Ministério da Saúde. Foi utilizado o método da análise envoltória de dados (DEA - Data Envelopment Analysis), orientada a output. A população deste estudo constituiu em 29 hospitais de ensino de grande porte nas regiões Centro-Oeste, Sul, Sudeste e Norte do Brasil. Identificou-se que 12 hospitais ficaram localizados na fronteira de eficiência, ou seja, foram relacionados como eficientes na maximização dos outputs (produtos), e 17 ficaram abaixo. Foi estabelecido o valor absoluto para a eficiência daqueles que não atingiram a fronteira por meio de benchmarks com pesos para o espelhamento. Identificou-se, quanto à natureza jurídica, que a personalidade “entidades empresariais” foi mais eficiente, seguida das “entidades sem fins lucrativos” e, por último, da “administração pública”. Os resultados desta pesquisa sugerem que a DEA tem potencial para avaliação de eficiência técnica no âmbito hospitalar quando avaliada a capacidade de produção do estabelecimento.

Abstract The general objective of this study was to assess the technical efficiency of Brazil’s teaching hospitals using data envelopment analysis (DEA). To this end, a quantitative exploratory study was conducted with secondary data from the national health information system (DATASUS) using an output-oriented DEA model. The study population consisted of 29 large-sized teaching hospitals located in the country’s Center-West, South, Southeast, and North regions. Twelve hospitals were shown to be on the efficient frontier (technically efficient) and 17 were off the frontier. Absolute efficiency values were calculated for the hospitals that were off the frontier, using benchmarks with weighting for benchmarking. Private for-profit hospitals were shown to be the most efficient, followed by private not-for-profit and public facilities. The findings of this study suggest that DEA has potential for assessing technical efficiency in hospital settings in relation to operational capacity.

Abstract Introduction Coronavirus disease 19 (COVID-19) is potentially the greatest global public health crisis of this century. This disease emerged as an outbreak of pneumonia of unknown cause in Wuhan, the capital city of the Hubei province in China, in December 2019. Otolaryngologists, head and neck surgeons and dentists are at an increased risk of occupational disease. Objective The present review summarizes currently published evidence of Covid-19 epidemiology, clinical characteristics, treatment and prevention. No proven effective treatments for this disease currently exist. Data Synthesis COVID-19 started from a zoonotic transmission event associated with a large seafood market that also traded in live wild animals, and it soon became clear that efficient person-to-person transmission was also occurring. Symptoms are varied, and not all patients develop all of them. Conclusion Social distancing seems to have been successful in several places in the world. However, this recommendation alone is not enough to contain the disease, and it is not a long-term solution. Large-scale testing by health professionals of representative samples of the population may give an estimate of the progression of the disease. Different treatments are under test and bring hope of a cure to the population. However, no current treatments (April 27, 2020) have been proven to be the key to success in the treatment of patients with COVID-19. Planetary health is a useful concept to understand the current drivers of this pandemic and to draw a roadmap for science and healthcare that may guide actions to fight economic depression and ensure a healthy recovery.