Resumo: Introdução: Este estudo metodológico pretendeu identificar em qual medida um conjunto de variáveis características de escolas médicas possui capacidade discriminante na classificação dos cursos por meio da análise de agrupamento. Nas últimas décadas, houve um aumento expressivo do número de vagas ofertadas para cursos médicos. Esse advento impôs desafios para os programas de avaliação, tanto pela necessidade de expandir o processo como pela necessidade de implantação de novos indicadores de qualidade. Objetivo: Esse estudo teve como objetivo propor técnicas de análise para aprimorar a capacidade discriminante na classificação de cursos médicos mediante variáveis objetivas relacionadas a aspectos estruturais e operacionais que possam ser incorporadas aos métodos já utilizados. Método: Trata-se de um estudo descritivo, analítico-metodológico e quantitativo que utilizou dados dos cursos médicos de São Paulo, em dezembro de 2020. Foi realizada análise por agrupamentos hierárquico e não hierárquico dos cursos para identificar variáveis com capacidade discriminante em busca de padrões que cooperem para a classificação das escolas médicas. As variáveis estudadas foram: início do curso, carga horária, regime letivo, metodologia, hospital universitário, categoria administrativa da instituição e gratuidade. Para a construção dos agrupamentos, adotaram-se o método de Ward e a distância euclidiana para estimar a discriminação entre os grupos. No agrupamento não hierárquico, a definição da quantidade de grupos foi determinada pela análise da diminuição da variância. Avaliou-se a correlação entre as variáveis por meio de mapas de calor. Resultado: As análises de agrupamento mostraram a existência de três grupos de escolas médicas por similaridade: um grupo composto por escolas mais antigas e com maior carga horária, e, nos outros dois, consideraram-se as escolas não gratuitas sem hospital universitário, diferenciando-se pela idade das escolas. Além disso, as correlações reforçaram que as variáveis adotadas cooperavam para a discriminabilidade entre grupos. Há reconhecida heterogeneidade entre os cursos de graduação no Brasil, e esse dado também se aplica aos cursos médicos que impõem desafios metodológicos para os processos de avaliação estabelecidos. Entretanto, a inclusão de variáveis requer métodos capazes de refinar a capacidade discriminante da análise. Conclusão: A análise aqui proposta mostrou-se capaz de identificar grupos de escolas médicas por meio de indicadores objetivos e pode auxiliar o processo de avaliação das escolas médicas. Resumo Introdução décadas qualidade Objetivo utilizados Método Tratase Trata descritivo analíticometodológico analítico Paulo 2020 foram curso horária letivo metodologia universitário gratuidade adotaramse adotaram variância Avaliouse Avaliou calor Resultado similaridade dois consideraramse consideraram diferenciandose diferenciando disso Brasil estabelecidos Entretanto Conclusão mostrouse mostrou 202 20 2

Abstract: Introduction: This is a methodological study that aims to identify the extent to which a set of variables characteristic of medical schools have a discriminating capacity to classify the courses through cluster analysis. In the last two decades, there has been a significant increase of vacancies in medical courses. This advent has posed challenges for evaluation programs, both because of the need to expand the evaluation process and the need to implement new quality indicators. Objective: To propose analysis techniques to improve the discriminating capacity to classify medical courses through variables related to structural, operational, and objective aspects that can be incorporated into the already used methods. Method: Descriptive, analytical-methodological, quantitative study that used data from existing medical courses in December 2020, in the state of São Paulo. Analysis by hierarchical and non-hierarchical clustering of courses was performed to identify the discriminating elements that provide standards that cooperate for the classification of medical schools. The studied variables were: course start, workload, academic regime, methodology, University-Hospital, administrative category of the institution, gratuity. For the construction of the clusters, the Ward method and the Euclidean distance were used to estimate the discrimination between the groups. In the non-hierarchical clustering, the definition of the number of groups was determined by the analysis of the decrease in variance. The correlation between the variables was also evaluated through heatmaps. Results: The cluster analysis showed the existence of three groups of medical schools by similarity, with one group consisting of older schools with greater workload, and the other two consisting of private schools without a university-hospital, differing by the course time. Furthermore, the correlations reinforced that the adopted variables cooperated for the discriminability between the groups. Discussion: There is a known heterogeneity among undergraduate courses in Brazil and this also applies to medical courses, which poses methodological challenges for the established assessment processes. However, the inclusion of variables requires methods capable of refining the discriminant capacity of the analysis. Conclusion: The analysis proposed here proved to be capable of identifying groups of medical schools through objective indicators that can support the evaluation process of medical schools. Abstract Introduction decades programs Objective structural operational Method Descriptive analyticalmethodological, analyticalmethodological analytical methodological, analytical-methodological 2020 Paulo nonhierarchical non start workload regime methodology UniversityHospital, UniversityHospital University Hospital, Hospital University-Hospital institution gratuity clusters variance heatmaps Results similarity universityhospital, universityhospital university hospital, hospital university-hospital time Furthermore Discussion processes However Conclusion 202 20 2

ABSTRACT BACKGROUND: Because of the social isolation and distancing measures that were imposed to stop the spread of coronavirus disease 19 (COVID-19), new ways of teaching were implemented. OBJECTIVES: To describe the implementation of telesimulation and seek to assess students’ perceptions regarding telesimulation. DESIGN AND SETTING: Retrospective quantitative study conducted within the hospital simulation at a private medical school in São Paulo, Brazil. METHODS: After telesimulation training, students answered a questionnaire that provided an overall assessment of this activity, self-assessment and assessments of the facilitators and infrastructure provided by the University. RESULTS: Among the students, 50% reported that the activity was below expectations and 45% reported that it was in line with their expectations. The strong points of the activity were the clinical cases, workload and teachers. The main challenge was students’ difficulty in reflecting on their learning and the infrastructure. CONCLUSIONS: Since students have less experience and fewer clinical encounters than residents or professionals, they also face more difficulty. Although telesimulation may have provided a valid alternative to replace simulation training during the COVID-19 pandemic, more face-to-face activities should be offered to students, when possible.

SUMMARY INTRODUCTION: The challenge of facing COVID-19 falls under all health care structures, and without specific training to health care professionals they are probably the professionals with the highest level of exposure. Regardless of the level of health care, the training of professionals aims to optimize resources and attend patients while assuring quality and security. POINT OF VIEW: This report proposes simulation training for health care professionals to update professionals for attending patients during the pandemic. This training was built with five simulated stations, considering different stages of a patient with COVID-19. This report takes advantage of different simulation techniques, such as skills training, standardized patient, medium- and high-fidelity simulator, rapid cycle of deliberate practice, and in situ simulation. DISCUSSION: Medical procedures for COVID-19 patients offer additional risk for health care professionals, especially considering exposure to procedures that generate aerosols, such as compression, mask ventilation, and orotracheal intubation. Thus, finding educational strategies that allow training is essential to simulate the evolution of COVID-19 patients in a safe manner. CONCLUSION: Simulation has proven to be a useful and effective form of training around the world for training health teams on the front lines for patient care in COVID-19.

ABSTRACT BACKGROUND: The COVID-19 pandemic has led to an immense need to develop training on case recognition and management, with a focus on patients’ and health professionals’ safety at several levels of healthcare settings in Brazil. Different simulation strategies can be included in the diverse clinical care phases for these patients. OBJECTIVE: To suggest a complete simulation-based training program for Brazilian hospitals and/or academic institutions at this moment of the pandemic. DESIGN AND SETTING: Descriptive analysis on possible simulated clinical cases using different methodologies, thereby supporting suspected or confirmed COVID-19 patients. METHODS: This was a reflective theoretical descriptive study on an educational program based on clinical simulation, with four practical phases at different performance and complexity levels. Wearing, handling and adequately disposing of personal protective equipment, along with specific respiratory procedures in different healthcare settings up to intensive care for seriously infected patients were addressed. RESULTS: This program was designed for application at different Brazilian healthcare levels through different clinical simulation strategies. Summaries of expected performance were suggested in order to standardize technical capacity within these simulation settings, so as to serve these levels. CONCLUSIONS: Developing training programs for situations such as the current COVID-19 pandemic promotes safety not only for patients but also for healthcare workers. In the present context, clear definition of which patients need hospital outpatient or inpatient care will avoid collapse of the Brazilian healthcare system. Institutions that do not have simulated environments can, through the examples described, adopt procedures to promote didactic information in order to help healthcare professionals during this time.