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289 results for “virtual training”
Virtual Training Role-Plays to Improve Patient Suicide Outcomes in Primary Care Settings
ClinicalTrials.gov study NCT03207217. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Virtual Mindfulness and Breathing Training for Stress, Burnout, Sleep, and Cognition in Rotating-Shift Nurses
ClinicalTrials.gov study NCT07028788. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effects of Virtual Reality Training for Stroke Patients
ClinicalTrials.gov study NCT05178758. IPD Sharing: NO. Countries: 0. Publications: 0.
Expectations and Experiences With Virtual Reality Training Among ICU Physicians and Nurses
ClinicalTrials.gov study NCT06931392. IPD Sharing: YES. Countries: 0. Publications: 0.
The Effect of Virtual Reality Training on Mental Health Literacy and Stigma
ClinicalTrials.gov study NCT06142916. IPD Sharing: NO. Countries: 0. Publications: 0.
Virtual Reality-based Training in Cerebellar Ataxia
ClinicalTrials.gov study NCT02900508. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effects and Mechanism of the Fully Immersive Virtual Reality Cognitive Training Based on Leisure Activities
ClinicalTrials.gov study NCT05682469. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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> </p> <p><strong>Dataset name:</strong><em> avasus_dataset.csv </em></p> <p><strong>Version: </strong>1.0 </p> <p><strong>Dataset period:</strong> July 24, 2018 - February 22, 2024</p> <p><strong>Dataset Characteristics: </strong>Multivalued </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> </strong></p> <p><strong>Sources: </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). </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 – 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. </p> <div> <table> <tbody> <tr> <td> <p><strong>Attributes </strong></p> </td> <td> <p><strong>Description </strong></p> </td> <td> <p><strong>Datatype </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 </strong></p> </td> <td> <p>Gender of the course participant. </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. </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> </p> <p><strong>Dataset name:</strong><em> cbo_dataset.csv </em></p> <p><strong>Version: </strong>1.0 </p> <p><strong>Dataset period:</strong> July 24, 2018 - February 22, 2024</p> <p><strong>Dataset Characteristics: </strong>Multivalued </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> </strong></p> <p><strong>Sources: </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); </li> <li>Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2024d). </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 – 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. </p> <div> <table> <tbody> <tr> <td> <p><strong>Attributes </strong></p> </td> <td> <p><strong>Description </strong></p> </td> <td> <p><strong>Datatype </strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>gender </strong></p> </td> <td> <p>Gender of the course participant. </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. </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> </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 - classificação brasileira de ocupações. 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 saúde. 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 Estatística. Estimativas da População. 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> </p> <p><strong>ARTICLE:</strong></p> <p>Data Report: 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<br> </p> <p><strong>AUTHORS:</strong></p> <p>Aldiney J. Doreto<sup>1,2</sup>, António M. Teixeira<sup>3</sup>, Janaina L. R. S. Valentim<sup>1,4</sup>, João P. Q. Santos<sup>1,4</sup>, Talita K. de B. Pinto<sup>1</sup>, Yluska M. M. B. Mendes<sup>5</sup>, Aline P. Dias<sup>1</sup>, Karla M. D. Coutinho<sup>1,6</sup>, Ednara N. Gonçalves<sup>1</sup>, Andréa S. Pinheiro<sup>1</sup>, Felipe Fernandes<sup>1</sup>, Natalia A. N. Batista<sup>1,7</sup>, Karilany D. Coutinho<sup>1,8</sup>, and Ricardo A. M. Valentim<sup>1,8</sup></p> <p> </p> <p><sup>1</sup>Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil </p> <p><sup>2</sup>University of Minho (UMinho)/Open University of Portugal (UAb), Lisbon, Portugal</p> <p><sup>3</sup>Department of Education and Distance Learning, Open University of Portugal (UAb), Lisbon, Portugal</p> <p><sup>4</sup>Advanced Nucleus for Technological Innovation (NAVI), Federal Institute of Rio Grande do Norte (IFRN), Natal, RN, Brazil</p> <p><sup>5</sup>Secretariat of Health Surveillance and Environment of the Brazilian Ministry of Health, Brasilia, Federal District, Brazil</p> <p><sup>6</sup>Health Sciences Graduate Program, Federal University of Rio Grande do Norte, Natal, Brazil</p> <p><sup>7</sup>Social Sustainability and Development Graduate Program, Open University of Portugal, Lisbon, Portugal</p> <p><sup>8</sup>Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, RN, Brazil</p>
Feasibility and efficacy of a social prediction training in virtual reality in children and young adults with cerebellar malformations
<p>Updated dataset including primary and secondary outcome measures assessed before the training (T0), after the training (T2), and at the follow-up session (T3)</p>
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International Brain Laboratory public data
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OpenNeuro
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