Evidence map›Paper›PMID 37608336›Full record

ArticleBMC health services research2023

Trend and spatial clustering of medical education in Brazil: an ecological study of time series from 2010 to 2021.

Rafael Alves Guimarães, Ana Luísa Guedes de França E Silva, Marizélia Ribeiro de Souza, Adriana Moura Guimarães, Marcos Eduardo de Souza Lauro, Alessandra Vitorino Naghettini, Heliny Carneiro Cunha Neves, Fernanda Paula Arantes Manso, Cândido Vieira Borges Júnior, Alessandra Rodrigues Moreira de Castro and 2 more

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Rafael Alves GuimarãesNursing School, Federal University of Goiás, Goiânia, GO, Brazil. rafaelalves@ufg.br.
Ana Luísa Guedes de França E SilvaCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Marizélia Ribeiro de SouzaCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Adriana Moura GuimarãesCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Marcos Eduardo de Souza LauroCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Alessandra Vitorino NaghettiniCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Heliny Carneiro Cunha NevesNursing School, Federal University of Goiás, Goiânia, GO, Brazil.
Fernanda Paula Arantes MansoCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Cândido Vieira Borges JúniorCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Alessandra Rodrigues Moreira de CastroFederal District, Ministry of Health, Brasília, Brazil.
Victor Gonçalves BentoCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.
Pablo Leonardo Mendes da Cruz LimaCenter for Innovation in Education and Health Work Management, Federal University of Goiás, Goiânia, GO, Brazil.

Funding

National Health Fund of Brazil Decentralized Execution Term 180/2019, Process 25000206118201999/FNS
6 · The paper itself

Abstract

contextStudies that analyze the temporal trend and spatial clustering of medical education indicators are scarce, especially in developing countries such as Brazil. This analysis is essential to subsidize more equitable policies for the medical workforce in the states and regions of Brazil. Thus, this study aimed to analyze the temporal trend and identify spatial clusters of medical education indicators in Brazil disaggregated by public and private education, states, and regions.

methodsA time-series ecological study was conducted using data from the Higher Education Census of the Ministry of Education from 2010 to 2021. The study analyzed vacancy density indicators of active and former students/100,000 population, disaggregated by public and private education, 27 states, and 5 regions in Brazil. Prais-Winsten regression was used for trend analyses of indicators. Hot Spot Analysis (Getis-Ord Gi*) was used to identify spatial clusters of indicators.

resultsThe number of medical schools increased by 102.2% between 2010 and 2021. A total of 366 medical schools offered 54,870 vacancies at the end of 2021. Vacancy density and active and former students increased significantly in the period, but this increase was greater in private institutions. Most states and regions showed an increasing trend in the indicators, with higher increase percentages in private than in public schools. Hot spot spaces changed over time, concentrated in the southeast, center-west, and north at the end of 2021. Medical education remains uneven in Brazil, with a low provision in regions with low socioeconomic development, academic structure, and health services, represented by regions in the north and northeast.

conclusionsThere is a growing trend in medical education indicators in Brazil, especially in the private sector. Spatial clusters were found predominantly in the southeast, center-west, and north. These results indicate the need for more equitable medical education planning between the regions.

Indexed as

Education, MedicalBrazilCluster AnalysisHumansSchools, MedicalTime FactorsMedical educationSpatial clustersTrend

Identifiers

PMID37608336
PMCPMC10464021

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.