THE RELEVANCY OF MASSIVE HEALTH EDUCATION IN THE BRAZILIAN PRISON SYSTEM: THE COURSE "HEALTH CARE FOR PEOPLE DEPRIVED OF FREEDOM" AND ITS IMPACTS

Dataset name: asppl_dataset_v2.csv 

Version: 2.0 

Dataset period: 06/07/2018 - 01/14/2022

Dataset Characteristics: Multivalued 

Number of Instances: 8118

Number of Attributes: 9

Missing Values: Yes

Area(s): Health and education 

Sources: 

Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a); 

Brazilian Occupational Classification (CBO) (Brasil, 2022b);

National Registry of Health Establishments (CNES) (Brasil, 2022c); 

Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e). 

Description: The data contained in the asppl_dataset_v2.csv dataset (see Table 1) originates from participants of the technology-based educational course “Health Care for People Deprived of Freedom.” The course is available on the AVASUS (Brasil, 2022a). This dataset provides elementary data for analyzing the course’s impact and reach and the profile of its participants. In addition, it brings an update of the data presented in work by Valentim et al. (2021).

Table 1: Description of AVASUS dataset features. 

Attributes 

Description 

datatype 

Value

gender 

Gender of the course participant. 

Categorical. 

Feminino / Masculino / Não Informado. (In English, Female, Male or Uninformed)

course_progress

Percentage of completion of the course. 

Numerical. 

Range from 0 to 100.

course_evaluation

A score given to the course by the participant. 

Numerical. 

0, 1, 2, 3, 4, 5 or NaN.

evaluation_commentary

Comment made by the participant about the course.

Categorical. 

Free text or NaN.

region

Brazilian region in which the participant resides.

Categorical. 

Brazilian region according to IBGE: Norte, Nordeste, Centro-Oeste, Sudeste or Sul (In English North, Northeast, Midwest, Southeast or South). 

CNES

The CNES code refers to the health establishment where the participant works.

Numerical. 

CNES Code or NaN.

health_care_level

Identification of the health care network level for which the course participant works.

Categorical.

“ATENCAO PRIMARIA”,

“MEDIA COMPLEXIDADE”, 

“ALTA COMPLEXIDADE”, 

and their possible combinations.

(In English "PRIMARY HEALTH CARE", "SECONDARY HEALTH CARE" AND "TERTIARY HEALTH CARE") 

year_enrollment

Year in which the course participant registered.

Numerical.

Year (YYYY).

CBO

Participant occupation.

Categorical. 

Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem afiliação formal.” (In English “Individual without formal affiliation.”)

Dataset name: prison_syphilis_and_population_brazil.csv

Dataset period: 2017 - 2020

Dataset Characteristics: Multivalued 

Number of Instances: 6

Number of Attributes: 13

Missing Values: No

Source: 

National Penitentiary Department (DEPEN) (Brasil, 2022d); 

Description: The data contained in the prison_syphilis_and_population_brazil.csv dataset (see Table 2) originate from the National Penitentiary Department Information System (SISDEPEN) (Brasil, 2022d). This dataset provides data on the population and prevalence of syphilis in the Brazilian prison system. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil.

Table 2: Description of DEPEN dataset Features. 

Attributes 

Description 

datatype 

Value

Region

Brazilian region in which the participant resides. In addition, the sum of the regions, which refers to Brazil.

Categorical. 

Brazil and Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South.

syphilis_2017

Number of syphilis cases in the prison system in 2017.

Numerical. 

Number of syphilis cases.

syphilis_rate_2017

Normalized rate of syphilis cases in 2017.

Numerical. 

Syphilis case rate.

syphilis_2018

Number of syphilis cases in the prison system in 2018.

Numerical. 

Number of syphilis cases.

syphilis_rate_2018

Normalized rate of syphilis cases in 2018.

Numerical. 

Syphilis case rate.

syphilis_2019

Number of syphilis cases in the prison system in 2019.

Numerical. 

Number of syphilis cases.

syphilis_rate_2019

Normalized rate of syphilis cases in 2019.

Numerical. 

Syphilis case rate.

syphilis_2020

Number of syphilis cases in the prison system in 2020.

Numerical. 

Number of syphilis cases.

syphilis_rate_2020

Normalized rate of syphilis cases in 2020.

Numerical. 

Syphilis case rate.

pop_2017

Prison population in 2017.

Numerical. 

Population number.

pop_2018

Prison population in 2018.

Numerical. 

Population number.

pop_2019

Prison population in 2019.

Numerical. 

Population number.

pop_2020

Prison population in 2020.

Numerical. 

Population number.

Dataset name: students_cumulative_sum.csv

Dataset period: 2018 - 2020

Dataset Characteristics: Multivalued 

Number of Instances: 6

Number of Attributes: 7

Missing Values: No

Source: 

Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);

Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e). 

Description: The data contained in the students_cumulative_sum.csv dataset (see Table 3) originate mainly from AVASUS (Brasil, 2022a). This dataset provides data on the number of students by region and year. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate.

Table 3: Description of Students dataset Features. 

Attributes 

Description 

datatype 

Value

Region

Brazilian region of the course participant. In addition, the sum of the regions, which refers to Brazil.

Categorical. 

Brazil and the Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South. 

2018

Number of students enrolled in the course in 2018.

Numerical. 

Number of students.

rate_2018

Standardized rate of students in the course in 2018.

Numerical. 

Normalized value.

2019

Sum of students enrolled in the course in 2019.

Numerical. 

Number of students.

rate_2019

Standardized rate of students in the course in 2019.

Numerical. 

Normalized value.

2020

Sum of students enrolled in the course in 2020.

Numerical. 

Number of students.

rate_2020

Standardized rate of students in the course in 2020.

Numerical. 

Normalized value.

Dataset name: syphilis_tests_brazil.csv

Dataset period: 2017 - 2020

Dataset Characteristics: Multivalued 

Number of Instances: 6

Number of Attributes: 9

Missing Values: No

Source: 

Brazilian Ministry of Health, through the Outpatient Information System of the Brazilian Health System (SIA/SUS) (Brasil, 2022f);

Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e). 

Description: The data contained in the syphilis_tests_brazil.csv dataset (see Table 4) originate mainly from the Outpatient Information System of the Brazilian Health System (SIA/SUS). This dataset provides data on the number of tests for syphilis detection by region and year. In addition, it brings a rate that represents the normalized data to compare the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate.

Table 4: Description of Syphilis Testes dataset Features. 

Attributes 

Description 

datatype 

Value

Region

Brazilian region where tests for syphilis were performed. In addition, the sum of the regions, which refers to Brazil.

Categorical. 

Brazil and the Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South.

2017

The number of tests for syphilis performed in 2017.

Numerical. 

The number of tests.

rate_2017

Syphilis testing rate in 2017.

Numerical. 

Normalized value.

2018

The number of tests for syphilis performed in 2018.

Numerical. 

The number of tests.

rate_2018

Syphilis testing rate in 2018.

Numerical. 

Normalized value.

2019

The number of tests for syphilis performed in 2019.

Numerical. 

The number of tests.

rate_2019

Syphilis testing rate in 2019.

Numerical. 

Normalized value.

2020

The number of tests for syphilis performed in 2020.

Numerical. 

The number of tests.

rate_2020

Syphilis testing rate in 2020.

Numerical. 

Normalized value.

REFERENCES

Brasil (2022a). Ambiente virtual de aprendizagem do sus - avasus. atenção à saúde da pessoa privada de liberdade Available from: https://avasus.ufrn.br/local/avasplugin/cursos/curso.php?id=114 .

Brasil (2022b). Cbo - classificação brasileira de ocupações. Available from: http://www.mtecbo.gov.br/cbosite/pages/home.jsf .

Brasil (2022c). Cnes - cadastro nacional de estabelecimentos de saúde. Available from: http://cnes.datasus.gov.br/ .

Brasil (2022d). Departamento penitenciário nacional. levantamento nacional de informações penitenciárias. Available from: https://www.gov.br/depen/pt-br/servicos/sisdepen .

Brasil (2022e). IBGE - Instituto Brasileiro de Geografia e Estatística. Estimativas da População. Available from: https://www.ibge.gov.br/estatisticas/sociais/populacao/9103-estimativas-de-populacao.html?edicao=31451&t=resultados .

Brasil (2022f). Ministério da saúde - sistema de informações ambulatoriais do sus (sia/sus). Available from: https://datasus.saude.gov.br/acesso-a-informacao/producao-ambulatorial-sia-sus/ .

Valentim, J., Oliveira, E. d. S. G., Valentim, R. A. d. M., Dias-Trindade, S., Dias, A. d. P., Cunha-Oliveira, A., et al. (2021). Data report: “health care of persons deprived of liberty” course from brazil’s unified health system virtual learning environment. Frontiers in Medicine 8. doi:10.3389/fmed.2021.742071.

ARTICLE:

THE RELEVANCY OF MASSIVE HEALTH EDUCATION IN THE BRAZILIAN PRISON SYSTEM: THE COURSE “HEALTH CARE FOR PEOPLE DEPRIVED OF FREEDOM” AND ITS IMPACTS 

AUTHORS:

Janaína L. R. S. Valentim1,2, Sara Dias-Trindade2,3, Eloiza da S. G. Oliveira1,4, José A. M. Moreira2,5, Felipe Fernandes1, Manoel Honório Romão1, Philippi S. G. de Morais1, Alexandre R. Caitano1, Aline P. Dias1, Carlos A. P. Oliveira1,4,6, Karilany D. Coutinho1, Ricardo B. Ceccim7, Ricardo A. M. Valentim1

1Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil 

2Univ Coimbra, Centre for Interdisciplinary Studies, Coimbra, Portugal

3Univ Coimbra, Centre for Interdisciplinary Studies, Faculty of Arts and Humanities, Coimbra, Portugal

4Multidisciplinary Institute for Human Development with Technologies, State University of Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil

5Open University (Universidade Aberta), Department of Education and Distance Learning (DEED), Lisbon, Portugal

6International Council for Open and Distance Education, Oslo, Norway

7Postgraduate Program in Education, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil