Mapping of medical schools: the distribution of undergraduate courses and annual vacancies in Brazilian cities in 2020 / Cartografia das escolas médicas: a distribuição de cursos e vagas nos municípios brasileiros em 2020

Abstract: Introduction: The number of medical schools in Brazil, as well as the number of vacancies offered at these schools, has grown considerably in the last few years. Since 2013, this increasehas aimedat reaching especially the rural and underserved areas of the country. Objective: Considering that there are many different interests concerning this debate and that this reality directly influences the education and health policies of the country, the aim of this study was to evaluate the number and the distribution of the medical courses,as well as vacancies in these schools in 2020, presenting an updated overview of the Brazilian medical schools. Methods: This was a cross-sectional study, based on data gathered from the Brazilian Ministry ofEducation and Institute of Geography and Statistics (IBGE) website. The utilized variables were the number of courses, number of vacancies offered in each course, characteristics of the cities where the medical schools are located, such as population size, Human Development Index (HDI) and distance to the capital city of each state. Results: Among the institutions that have already initiated their activities, there are 328 active courses, offering 35.480 vacancies for Medical School applicants. There is a difference when analyzing public or private institutions and paid or tuition-free institutions. There is a greater offer of paid courses (74,1%) and of courses located in the countryside (69,8%). Among the courses in the countryside, 27,8% of the vacancies are offered within 100 km of the capital city. Only 7,9% of the annual vacancies are offered in cities with a medium HDI, and the remainder are offered in cities with high or very high HDI. The increase in HDI is related to the higher proportion of private courses offering medical vacancies. It was observed that there is no correspondence between the absolute number of vacancies and the population of the North region, differentfrom what occurs in the other regions of the country. Conclusions: Medical training is under many influences, such as economic and political trends. This discussion needs to consider the regionalization and democratization of access. It was observed that public institutions tend to be located in municipalities that are farther away from the capitals. Even though there is now greater homogeneity between the regions, the Southeast still concentrates almost half of the vacancies in medical courses. Also, the increase in the number of vacancies in private courses brings up the reflection about the socioeconomic profile of medical students who have the opportunity to gain access to this level of education.

Resumo: Introdução: O número de cursos de Medicina no Brasil e a quantidade de vagas ofertadas cresceram consideravelmente nos últimos anos. A partir de 2013, essa expansão tinha o objetivo de atingir sobretudo o interior do país. Objetivo: Considerando que existem diversos interesses em torno dessa expansão e que essa realidade influencia diretamente as políticas de educação e saúde do país, o objetivo deste estudo foi analisar a quantidade e a distribuição, em 2020, desses cursos e vagas nos municípios brasileiros. Método: Trata-se de estudo transversal com dados disponibilizados pelo Ministério da Educação e pelo Instituto Brasileiro de Geografia e Estatística (IBGE). As variáveis estudadas foram números de cursos, número de vagas e características dos municípios das escolas médicas, como tamanho da população, Índice de Desenvolvimento Humano (IDH) e distância em relação à capital do respectivo estado. Resultados: Há 328 cursos em atividade que ofertam 35.480 vagas para ingressantes em Medicina. Ocorre diferença quando se analisam instituições públicas ou privadas e instituições gratuitas ou pagas. Há maior oferta de vagas em cursos pagos (74,1%) e em municípios de interior (69,8%). No interior, 27,8% das vagas são ofertadas por municípios distantes de um a 100 km da capital. A menor parte das vagas (7,9%) é ofertada em municípios de IDH médio, sendo o restante em municípios de IDH alto ou muito alto. O aumento do IDH está relacionado à maior proporção de cursos privados ofertando vagas de Medicina. Observou-se que não há correspondência entre o número absoluto de vagas e a população da Região Norte, o que ocorre nas demais regiões do país. Conclusões: A formação médica está sob várias influências, a exemplo das tendências econômicas e políticas. Essa discussão precisa levar em consideração a regionalização e a democratização do acesso. Observou-se tendência de as instituições públicas se destinarem a municípios mais distantes. Apesar de maior homogeneidade entre as regiões, a Região Sudeste ainda concentra quase metade das vagas. Além disso, o aumento do número de vagas em cursos privados evoca o questionamento sobre o perfil de estudantes que têm a oportunidade de acessar essa graduação.

Education in the Mais Médicos program: the gap between proposals and implementation / A dimensão da formação no Programa Mais Médicos: hiato entre propostas e implementação

Abstract: Introduction: The scarcity and inequalities in the geographical distribution of physicians challenge the consolidation of the right to health and create migratory flows that increase health inequities. Due to their complex and multidimensional characteristics, they demand multisectoral political approaches, considering several factors related to the availability and area of ​​practice of medical doctors, as well as the social vulnerability of local populations. Objective: This study aimed at analysing results of the "Mais Médicos" (More Doctors) Program Educational Axis in Brazil. Methodology: A documental research was conducted, highlighting the location and the public or private nature of new undergraduate medical school vacancies between the years 2013 until 2017, which were then compared to the goals and strategies outlined in the official Program documents. Results: The Educational Axis reached important milestones despite the resistance of some institutional actors. The Program extended its undergraduate vacancies by 7696 places, 22.48% of that in public institutions and 77.52% in private ones. Vacancy distribution prioritized cities in rural areas of Brazil, at the same instance bringing forward significant regulatory changes for undergraduate medical courses. However, political disputes with representatives of medical societies and stakeholders interested in favouring the private educational and healthcare sectors surface in the official discourses and documents. These factors weakened the program normative body, creating a hiatus between its core objectives and respective implementation. Evidence related to the concentration of vacancies in the Southeast regions allow the maintenance of a known unequal workforce distribution, despite a proportionally bigger increase in the Midwest, North and Northeast regions. Conclusion: The predominance of vacancies in private institutions and the weakening of the new undergraduate courses monitoring instruments can compromise changes in the graduate students' profiles, which are necessary for the fixation of physicians in strategic geographic areas to promote Primary Healthcare.

Resumo: Introdução: A carência e as desigualdades na distribuição geográfica de médicos desafiam a consolidação do direito à saúde e criam fluxos migratórios que acirram iniquidades em saúde. Devido ao seu caráter complexo e multidimensional, demandam abordagens políticas multissetoriais, considerando vários fatores relativos à disponibilidade e à área de atuação de médicos, bem como à vulnerabilidade social das populações consideradas. Objetivo: Este estudo teve como objetivo analisar os resultados do eixo Formação do Programa Mais Médicos no Brasil. Métodos: Realizou-se uma pesquisa documental, especificamente relativa à localização e à natureza pública ou privada das novas vagas de graduação em Medicina, no período de 2013 a 2017, em que se confrontaram os resultados obtidos com as metas e estratégias pactuadas nos documentos oficiais do programa. Resultados: O eixo Formação alcançou resultados importantes, apesar da resistência de alguns atores institucionais. O programa expandiu em 7.696 vagas de graduação, sendo 22,48% em instituições públicas e 77,52% em instituições privadas. A distribuição das novas vagas priorizou cidades do interior do Brasil e aprovou mudanças regulatórias importantes para os cursos de Medicina. No entanto, as disputas políticas com atores sociais representativos da classe médica e aqueles interessados no favorecimento do setor privado na educação e assistência à saúde ficaram expressas nos discursos e documentos oficiais. Tais aspectos fragilizaram o corpo normativo do programa e criaram um hiato entre os seus objetivos e a implementação. Evidências referentes à concentração de vagas no Sudeste do país favorecem a manutenção das desigualdades, a despeito de um crescimento proporcionalmente maior nas Regiões Centro-Oeste, Nordeste e Norte. Conclusão: A prevalência de vagas em instituições privadas e a fragilização de instrumentos de monitoramento dos novos cursos podem comprometer a mudança no perfil dos egressos, necessária para a fixação de médicos em áreas estratégicas e na atenção primária à saúde.

Mexican ENARM: performance comparison of public vs. private medical schools, geographic and socioeconomic regions.

OBJECTIVE: This study aimed to compare the performance in the National Assessment for Applicants for Medical Resi- dency (ENARM in spanish) of private versus public medical schools, geographic regions and socioeconomic levels by using three different statistical methods (summary measurements, the rate of change and the area under the receiver operator characteristics [AUROC]). These methods have not been previously used for the ENARM; however, some variations of the summary measurements have been reported in some USA assessments of medical school graduates. MATERIALS AND METHODS: Cross-sectional study based on historical data (2001-2017). We use summary measures and colourfilled map. The statistical analysis included Mann-Whitney U, Kruskal-Wallis, Spearman correlation coefficient (Rs), and linear regression. RESULTS: A total of 113 medical schools were included in our analysis; 60 were public and 53 private. We found difference in the median of total scores for type of schools, MD= 54.07 vs. MD= 57.36, p= 0.011. There were also significant differences among geographic and socioeconomic regions (p<0.05). CONCLUSIONS: Differences exist in the total scores and percentage of selected test-takers between type of schools, geographic and socioeconomic regions. Higher scores are prevalent in the Northeast and Norwest regions. Additional research is required to identify factors that contribute to these differences. Unsuspected differences in examination scores can be unveiled using summary measures.

OBJETIVO: Comparar el desempeño en el Examen Nacional de Aspirantes a Residencias Médicas (ENARM) de escuelas de medicina privadas y públicas, regiones geográficas y niveles socioeconómicos mediante el uso de tres métodos estadísti- cos diferentes (medidas de resumen, tasa de cambio y el área bajo las características del operador receptor [AUROC en inglés]). Estos métodos no han sido utilizados previamente para el ENARM; sin embargo, se han informado algunas variaciones de las mediciones de resumen en algunas evaluaciones de graduados de medicina de Estados Unidos. MATERIAL Y MÉTODOS: Estudio transversal basado en datos históricos (2001-2017). Se usaron medidas de resumen y un mapa lleno de color. El análisis estadístico incluyó Mann Whitney U, Kruskal-Wallis y coeficiente de correlación de Spearman (Rs). RESULTADOS: Se incluyeron 113 escuelas de medicina en el análisis; 60 eran públicas y 53 privadas. Se encontraron diferencias en la mediana de las puntuaciones totales para el tipo de escuelas, MD= 54.07 vs. MD= 57.36, p= 0.011. También hubo diferencias significativas entre las regiones geográficas y socioeconómicas (p<0.05). CONCLUSIONES: Existen diferencias en los puntajes totales y el porcentaje de examinados seleccionados entre el tipo de escuelas, regiones geográficas y socioeconómicas. Las puntuaciones más altas prevalecen en las regiones noreste y noroeste. Se requieren investigaciones adicionales para identificar los factores que contribuyen a estas diferencias. Las diferencias insospechadas en los puntajes de los exámenes se pueden revelar usando medidas de resumen.

Mexican ENARM: performance comparison of public vs. private medical schools, geographic and socioeconomic regions / ENARM: comparación del desempeño de escuelas de medicina públicas y privadas, regiones geográficas y socioeconómicas

Abstract: Objectives: This study aimed to compare the performance in the National Assessment for Applicants for Medical Residency (ENARM in spanish) of private versus public medical schools, geographic regions and socioeconomic levels by using three different statistical methods (summary measurements, the rate of change and the area under the receiver operator characteristics [AUROC]). These methods have not been previously used for the ENARM; however, some variations of the summary measurements have been reported in some USA assessments of medical school graduates. Materials and methods: Cross-sectional study based on historical data (2001-2017). We use summary measures and colour-filled map. The statistical analysis included Mann-Whitney U, Kruskal-Wallis, Spearman correlation coefficient (Rs), and linear regression. Results: A total of 113 medical schools were included in our analysis; 60 were public and 53 private. We found difference in the median of total scores for type of schools, MD= 54.07 vs. MD= 57.36,p= 0.011. There were also significant differences among geographic and socioeconomic regions (p<0.05). Conclusions: Differences exist in the total scores and percentage of selected test-takers between type of schools, geographic and socioeconomic regions. Higher scores are prevalent in the Northeast and Norwest regions. Additional research is required to identify factors that contribute to these differences. Unsuspected differences in examination scores can be unveiled using summary measures.

Resumen: Objetivo: Comparar el desempeño en el Examen Nacional de Aspirantes a Residencias Médicas (ENARM) de escuelas de medicina privadas y públicas, regiones geográficas y niveles socioeconómicos mediante el uso de tres métodos estadísticos diferentes (medidas de resumen, tasa de cambio y el área bajo las características del operador receptor [AUROC en inglés]). Estos métodos no han sido utilizados previamente para el ENARM; sin embargo, se han informado algunas variaciones de las mediciones de resumen en algunas evaluaciones de graduados de medicina de Estados Unidos. Material y métodos: Estudio transversal basado en datos históricos (2001-2017). Se usaron medidas de resumen y un mapa lleno de color. El análisis estadístico incluyó Mann Whitney U, Kruskal-Wallis y coeficiente de correlación de Spearman (Rs). Resultados: Se incluyeron 113 escuelas de medicina en el análisis; 60 eran públicas y 53 privadas. Se encontraron diferencias en la mediana de las puntuaciones totales para el tipo de escuelas, MD= 54.07 vs. MD= 57.36,p= 0.011. También hubo diferencias significativas entre las regiones geográficas y socioeconómicas (p<0.05). Conclusiones: Existen diferencias en los puntajes totales y el porcentaje de examinados seleccionados entre el tipo de escuelas, regiones geográficas y socioeconómicas. Las puntuaciones más altas prevalecen en las regiones noreste y noroeste. Se requieren investigaciones adicionales para identificar los factores que contribuyen a estas diferencias. Las diferencias insospechadas en los puntajes de los exámenes se pueden revelar usando medidas de resumen.

Medical Schools in Fragile States: Implications for Delivery of Care.

OBJECTIVE: To report on medical schools in fragile states, countries with severe development challenges, and the impact on the workforce for health care delivery. DATA SOURCES: 2007 and 2012 World Bank Harmonized List of Fragile Situations; 1998-2012 WHO Global Health Observatory; 2014 World Directory of Medical Schools. DATA EXTRACTION: Fragile classification established from 2007 and 2012 World Bank status. Population, gross national income, health expenditure, and life expectancy were 2007 figures. Physician density was most recently available from WHO Global Health Observatory (1998-2012), with number of medical schools from 2014 World Directory of Medical Schools. STUDY DESIGN: Regression analyses assessed impact of fragile state status in 2012 on the number of medical schools in 2014. PRINCIPAL FINDINGS: Fragile states were 1.76 (95 percent CI 1.07-2.45) to 2.37 (95 percent CI 1.44-3.30) times more likely to have fewer than two medical schools than nonfragile states. CONCLUSIONS: Fragile states lack the infrastructure to train sufficient numbers of medical professionals to meet their population health needs.

Costs Associated With Residency Training.

Texas needs more physicians to care for a rapidly growing population, and new physicians who complete medical training in Texas are likely to remain in the state to practice. The expansion of existing Texas medical schools, along with the development of new schools, has created a need for a corresponding increase in residency and fellowship (graduate medical education, or GME) positions in Texas, and the 2013 and 2015 legislative sessions have funded expanded GME support. While the Centers for Medicare & Medicaid Services pays for the majority of GME positions nationally, those numbers were capped in 1997. Growing populations, particularly in the southern states, have led many institutions--when funds are available--to increase GME positions "over the cap." Texas physicians need to be aware of costs associated with development of accredited GME positions, as well as other measures being taken to support the growth of the physician workforce in the state.

[Not Available]. / Numerus clausus et démographie médicale en France.

In France, the number of students admitted to the second year of medical studies is limited (numerus clausus) by law. In 1971 this limit was first based according to hospital training capacity and subsequently 1979 it has been based on demographic trends. An objective of 250 physicians per 100 000 inhabitants seemed reasonable and required 6 000 students to be trained each year. In 1979, it was decided to restrict the number of students temporarily because of a likely demographic slump after the year 2000. These steps were introduced progressively, in order not to unfairly treat a particular student class. The numerus clausus is also modulated geographically to take into account differences in medical density, as most students set up in the region where they did their medical studies. It is logical to practice preselection for admission to medical school, yet in France every baccalaureat holder can enrol any medical school, and students are totally opposed to preselection. This is why selection takes place at the end of the first year. In the late 1980s, the numerus clausus should have been increased by the health and education ministries, but this was in fact done only ten years later. Estimates of medical demography are complicated by three factors. First, many physicians from European Union member states (mainly Belgium and Romania) practice in France. Second, some students not admitted to the second year of medical studies go to learn medicine in aforeign country before returning to sit the French national examination at the end of the sixth year. Third, public hospitals hire foreign physicians from outside the EU (mainly Algeria and Morocco), who then stay in France permanently. Thus, EU-level decisions are needed to harmonize the medical numerus clausus across member states. The hiring of physicians from non EU countries by French hospitals should be more tightly controlled.

Do language fluency and other socioeconomic factors influence the use of PubMed and MedlinePlus?

BACKGROUND: Increased usage of MedlinePlus by Spanish-speakers was observed after introduction of MedlinePlus in Spanish. This probably reflects increased usage of MEDLINE and PubMed by those with greater fluency in the language in which it is presented; but this has never been demonstrated in English speakers. Evidence that lack of English fluency deters international healthcare personnel from using PubMed could support the use of multi-language search tools like Babel-MeSH. OBJECTIVES: This study aims to measure the effects of language fluency and other socioeconomic factors on PubMed MEDLINE and MedlinePlus access by international users. METHODS: We retrospectively reviewed server pageviews of PubMed and MedlinePlus from various periods of time, and analyzed them against country statistics on language fluency, GDP, literacy rate, Internet usage, medical schools, and physicians per capita, to determine whether they were associated. RESULTS: We found fluency in English to be positively associated with pageviews of PubMed and MedlinePlus in countries with high literacy rates. Spanish was generally found to be positively associated with pageviews of MedlinePlus en Español. The other parameters also showed varying degrees of association with pageviews. CONCLUSIONS: After adjusting for the other factors investigated in this study, language fluency was a consistently significant predictor of the use of PubMed, MedlinePlus English and MedlinePlus en Español. This study may support the need for multi-language search tools and may increase access of health information resources from non-English speaking countries.

Presence of medical schools may contribute to reducing breast cancer mortality and disparities.

Understanding differences among counties more or less successful in addressing breast cancer (BC) mortality disparities is important. Medical resources may be more available in counties with BC mortality rates (BCMR) low and similar for White and Black women. Based on Black and White BCMR we classified selected counties in four types from failing (high BCMR for both groups of women) to successful (low BCMR for both). Medical resource data were from Area Resource Files. In multivariate analyses, number of physicians or hospitals, HMO penetration, and proportion of hospitals with mammography centers did not predict county type. The proportion of hospitals with medical schools predicted counties being with Black:White disparities vs. with reverse disparities (OR 0.96, CI 0.94-0.99), or being successful vs. failing (OR 1.03, CI 1.00-1.06) or vs. with disparities (OR 1.04, CI 1.01-1.07). Medical resources did not explain county type differences, but type of care available may be important.

Promoting the health of marginalized populations in Ecuador through international collaboration and educational innovations.

This paper examines two innovative educational initiatives for the Ecuadorian public health workforce: a Canadian-funded Masters programme in ecosystem approaches to health that focuses on building capacity to manage environmental health risks sustainably; and the training of Ecuadorians at the Latin American School of Medicine in Cuba (known as Escuela Latinoamericana de Medicina in Spanish). We apply a typology for analysing how training programmes address the needs of marginalized populations and build capacity for addressing health determinants. We highlight some ways we can learn from such training programmes with particular regard to lessons, barriers and opportunities for their sustainability at the local, national and international levels and for pursuing similar initiatives in other countries and contexts. We conclude that educational efforts focused on the challenges of marginalization and the determinants of health require explicit attention not only to the knowledge, attitudes and skills of graduates but also on effectively engaging the health settings and systems that will reinforce the establishment and retention of capacity in low- and middle-income settings where this is most needed.

Medical education in Nigeria.

Nigeria is the most populated black African nation, with a population of 140 million from the 2006 population census. Medical education began with the establishment of the University College Hospital, Ibadan as a College branch of the University of London in 1948. Since then four generations of medical schools have evolved. The newer medical schools adopted the curriculum of the older schools with little modification. The subsequent introduction of changes and modification in the curriculum of medical education worldwide did not seem to affect Nigerian medical schools. Teacher training in educational methods for medical educators has not been introduced, nor has there been any curriculum planning or review. Efforts made regionally and nationally to change the medical curriculum and improve quality of medical training has not yielded the desired results. The regulatory bodies, the National Universities Commission and the Medical and Dental Council of Nigeria introduced separate curricula for medical schools, as a guide to minimum standards, but there has been so far a varying degree of compliance by the Universities. There is an urgent need to bring Medical Education and teacher training issues to the fore. Needs assessment of medical school faculty to determine their training would be seen to be a good starting point, as well as curriculum transformation and the introduction of newer assessment methods. It is suggested that the Medical and Dental Council of Nigeria (MDCN) should take a leading role by collaborating with outside bodies concerned with medical education.