Dataset: Online Learning Module of the "Training Course on Underlying Cause-of-Death Coding – ICD-10'" of the Virtual Learning Environment of the Brazilian Health System

<p><strong>README</strong></p> <p>&nbsp;</p> <p><strong>Dataset name:</strong><em> avasus_dataset.csv&nbsp;</em></p> <p><strong>Version: </strong>1.0&nbsp;</p> <p><strong>Dataset period:</strong> July 24, 2018 - February 22, 2024</p> <p><strong>Dataset Characteristics: </strong>Multivalued&nbsp;</p> <p><strong>Number of Instances: </strong>1533</p> <p><strong>Number of Attributes: 5</strong></p> <p><strong>Missing Values: </strong>Yes</p> <p><strong>Area(s): </strong>Health and education<strong>&nbsp;</strong></p> <p><strong>Sources:&nbsp;</strong></p> <ul> <li>Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2024a);</li> <li>Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2024d).&nbsp;</li> </ul> <p><strong>Description</strong>:<strong> </strong>The "avasus_dataset.csv" dataset (see Table 1) originates from participants of the "Training Course on Underlying Cause-of-Death Coding &ndash; ICD-10". The course was available on the Brazilian National Health System - AVASUS (Brasil, 2024a). This dataset provides elementary data to analyze the course's scope and participant profiles.</p> <p><br><strong>Note</strong>: The dataset's content is provided in Brazilian Portuguese (pt-br), originating from native speakers.</p> <p><strong>Table 1: </strong>Description of AVASUS dataset features.&nbsp;</p> <div> <table> <tbody> <tr> <td> <p><strong>Attributes&nbsp;</strong></p> </td> <td> <p><strong>Description&nbsp;</strong></p> </td> <td> <p><strong>Datatype&nbsp;</strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>certificate</strong></p> </td> <td> <p>The period in which the course participant obtained the right to a certificate.</p> </td> <td> <p>Datetime</p> </td> <td> <p>year-month-day hours, minutes, and seconds.</p> </td> </tr> <tr> <td> <p><strong>gender&nbsp;</strong></p> </td> <td> <p>Gender of the course participant.&nbsp;</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>Female;</p> </li> <li> <p>Male; or</p> </li> <li> <p>Not informed.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>region</strong></p> </td> <td> <p>Brazilian region in which the participant resides.</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>North;</p> </li> <li> <p>Northeast;</p> </li> <li> <p>Central-West;</p> </li> <li> <p>Southeast;</p> </li> <li> <p>South;</p> </li> <li> <p>Abroad; or</p> </li> <li> <p>Not reported.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>course_evaluation</strong></p> </td> <td> <p>A score given to the course by the participant.&nbsp;</p> </td> <td> <p>Numerical</p> </td> <td> <p>0, 1, 2, 3, 4, 5, or NaN.</p> </td> </tr> <tr> <td> <p><strong>evaluation_commentary</strong></p> </td> <td> <p>Comment made by the participant about the course.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Free text or NaN.</p> </td> </tr> </tbody> </table> </div> <p>&nbsp;</p> <p><strong>Dataset name:</strong><em> cbo_dataset.csv&nbsp;</em></p> <p><strong>Version: </strong>1.0&nbsp;</p> <p><strong>Dataset period:</strong> July 24, 2018 - February 22, 2024</p> <p><strong>Dataset Characteristics: </strong>Multivalued&nbsp;</p> <p><strong>Number of Instances: </strong>1135</p> <p><strong>Number of Attributes: 6</strong></p> <p><strong>Missing Values: </strong>Yes</p> <p><strong>Area(s): </strong>Health and education<strong>&nbsp;</strong></p> <p><strong>Sources:&nbsp;</strong></p> <ul> <li>Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2024a);</li> <li>Brazilian Occupational Classification (CBO) (Brasil, 2024b);</li> <li>National Registry of Health Establishments (CNES) (Brasil, 2024c);&nbsp;</li> <li>Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2024d).&nbsp;</li> </ul> <p><strong>Description</strong>:<strong> </strong>The "cbo_dataset.csv" dataset (see Table 2) originates from participants of the "Training Course on Underlying Cause-of-Death Coding &ndash; ICD-10". The course was available on the Brazilian National Health System - AVASUS (Brasil, 2024a). This dataset provides elementary data to analyze the course's scope and the participants' professional profiles.</p> <p><br><strong>Note</strong>: The dataset's content is provided in Brazilian Portuguese (pt-br), originating from native speakers.</p> <p><strong>Table 1: </strong>Description of AVASUS dataset features.&nbsp;</p> <div> <table> <tbody> <tr> <td> <p><strong>Attributes&nbsp;</strong></p> </td> <td> <p><strong>Description&nbsp;</strong></p> </td> <td> <p><strong>Datatype&nbsp;</strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>gender&nbsp;</strong></p> </td> <td> <p>Gender of the course participant.&nbsp;</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>Female;</p> </li> <li> <p>Male; or</p> </li> <li> <p>Not informed.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>region</strong></p> </td> <td> <p>Brazilian region in which the participant resides.</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>North;</p> </li> <li> <p>Northeast;</p> </li> <li> <p>Central-West;</p> </li> <li> <p>Southeast;</p> </li> <li> <p>South;</p> </li> <li> <p>Abroad; or</p> </li> <li> <p>Not reported.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>course_evaluation</strong></p> </td> <td> <p>A score given to the course by the participant.&nbsp;</p> </td> <td> <p>Numerical</p> </td> <td> <p>0, 1, 2, 3, 4, 5, or NaN.</p> </td> </tr> <tr> <td> <p><strong>evaluation_commentary</strong></p> </td> <td> <p>Comment made by the participant about the course.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Free text or NaN.</p> </td> </tr> <tr> <td> <p><strong>CBO_Code</strong></p> </td> <td> <p>Participant's occupation code.</p> </td> <td> <p>Numerical</p> </td> <td> <p>Participant's professional occupation code.</p> </td> </tr> <tr> <td> <p><strong>CBO_Description</strong></p> </td> <td> <p>Textual description of the participant's professional occupation.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Text coded according to the Brazilian Classification of Occupations.</p> </td> </tr> </tbody> </table> </div> <p>&nbsp;</p> <p><strong>REFERENCES</strong></p> <p>Brasil (2024a). AVASUS - Virtual Learning Environment of the Brazilian Health System. Available from: <a href="https://avasus.ufrn.br/local/avasplugin/dashboard/transparencia.php">https://avasus.ufrn.br/local/avasplugin/dashboard/transparencia.php</a>. Accessed Jul 8, 2024.</p> <p>Brasil (2024b). CBO - classifica&ccedil;&atilde;o brasileira de ocupa&ccedil;&otilde;es. Available from: <a href="https://cbo.mte.gov.br/cbosite/pages/home.jsf">https://cbo.mte.gov.br/cbosite/pages/home.jsf</a>. Accessed Oct 23, 2024.</p> <p>Brasil (2024c). CNES - cadastro nacional de estabelecimentos de sa&uacute;de. Available from: <a href="https://cnes.datasus.gov.br/">https://cnes.datasus.gov.br/</a>. Accessed Oct 23, 2024.</p> <p>Brasil (2024d). IBGE - Instituto Brasileiro de Geografia e Estat&iacute;stica. Estimativas da Popula&ccedil;&atilde;o. Available from: <a href="https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/39525-censo-2022-informacoes-de-populacao-e-domicilios-por-setores-censitarios-auxiliam-gestao-publica">https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/39525-censo-2022-informacoes-de-populacao-e-domicilios-por-setores-censitarios-auxiliam-gestao-publica</a>. Accessed Jun 19, 2024.</p> <p>&nbsp;</p> <p><strong>ARTICLE:</strong></p> <p>Data Report: Online Learning Module of the ``Training Course on Underlying Cause-of-Death Coding &ndash; ICD-10'' of the Virtual Learning Environment of the Brazilian Health System<br>&nbsp;</p> <p><strong>AUTHORS:</strong></p> <p>Aldiney J. Doreto^1,2, Ant&oacute;nio M. Teixeira³, Janaina L. R. S. Valentim^1,4, Jo&atilde;o P. Q. Santos^1,4, Talita K. de B. Pinto¹, Yluska M. M. B. Mendes⁵, Aline P. Dias¹, Karla M. D. Coutinho^1,6, Ednara N. Gon&ccedil;alves¹, Andr&eacute;a S. Pinheiro¹, Felipe Fernandes¹, Natalia A. N. Batista^1,7, Karilany D. Coutinho^1,8, and Ricardo A. M. Valentim^1,8</p> <p>&nbsp;</p> <p>¹Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil&nbsp;</p> <p>²University of Minho (UMinho)/Open University of Portugal (UAb), Lisbon, Portugal</p> <p>³Department of Education and Distance Learning, Open University of Portugal (UAb), Lisbon, Portugal</p> <p>⁴Advanced Nucleus for Technological Innovation (NAVI), Federal Institute of Rio Grande do Norte (IFRN), Natal, RN, Brazil</p> <p>⁵Secretariat of Health Surveillance and Environment of the Brazilian Ministry of Health, Brasilia, Federal District, Brazil</p> <p>⁶Health Sciences Graduate Program, Federal University of Rio Grande do Norte, Natal, Brazil</p> <p>⁷Social Sustainability and Development Graduate Program, Open University of Portugal, Lisbon, Portugal</p> <p>⁸Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, RN, Brazil</p>