Effectiveness of a Learning Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis

Dataset name: dataset.xlsx Version: 1.0 Area(s): Health and education Description: The dataset “dataset.xlsx” comes from the evaluation of participants in the teaching-learning process of the learning path on Food and Nutrition in Amyotrophic Lateral Sclerosis (ALS). The path is available on AVASUS. This dataset provides basic data to analyze whether the self-instructional continuing education model, mediated by technology, was effective in expanding knowledge about food and nutrition in ALS and the profile of its participants. Sheet name: dataset_pptest Dataset Characteristics: Multivalued Number of Instances: 142 Number of Attributes: 26 Missing Values: Yes Table 1: Description of dataset_pptest features. Attributes Description Datatype Value Day of Birth Participant's date of birth. Datetime month/day/year or NaN Course 1 start date Course enrollment period. Datetime year-month-day hh:mm:ss or NaN Course 1 Completion date The period in which the course participant obtained the right to a certificate. Datetime year-month-day hh:mm:ss or NaN Course pre-test score 1 A score achieved by the participant before the course. Numerical 0.0 - 10.0 or NaN. Course post-test score 1 A score achieved by the participant after the course. Numerical 0.0 - 10.0 or NaN. Course 2 start date Course enrollment period. Datetime year-month-day hh:mm:ss or NaN Course 2 Completion date The period in which the course participant obtained the right to a certificate. Datetime year-month-day hh:mm:ss or NaN Course pre-test score 2 A score achieved by the participant before the course. Numerical 0.0 - 10.0 or NaN. Course post-test score 2 A score achieved by the participant after the course. Numerical 0.0 - 10.0 or NaN. Course 3 start date Course enrollment period. Datetime year-month-day hh:mm:ss or NaN Course 3 Completion date The period in which the course participant obtained the right to a certificate. Datetime year-month-day hh:mm:ss or NaN Course pre-test score 3 A score achieved by the participant before the course. Numerical 0.0 - 10.0 or NaN. Course post-test score 3 A score achieved by the participant after the course. Numerical 0.0 - 10.0 or NaN. Course 4 start date Course enrollment period. Datetime year-month-day hh:mm:ss or NaN Course 4 Completion date The period in which the course participant obtained the right to a certificate. Datetime year-month-day hh:mm:ss or NaN Course pre-test score 4 A score achieved by the participant before the course. Numerical 0.0 - 10.0 or NaN. Course post-test score 4 A score achieved by the participant after the course. Numerical 0.0 - 10.0 or NaN. Number of courses taken Number of courses taken. Numerical 1, 2, 3, or 4. Sheet name: dataset_TCLE Dataset Characteristics: Multivalued Number of Instances: 182 Number of Attributes: 7 Missing Values: Yes Table 2: Description of dataset_TCLE features. Attributes Description Datatype Value Day of Birth Participant's date of birth. Datetime month/day/year or NaN Gender Gender of the course participant. Categorical Female or Male Until what year studded Level of education. Categorical Text referring to the level of education. Profession Participant occupation. Categorical Text referring to the profession Knowledge about nutrition in ALS Information on nutrition knowledge in ALS. Categorical Yes or No How did you gain knowledge about nutrition in ALS? How did the participant acquire knowledge in nutrition for ALS? Categorical Text referring to how knowledge was acquired, or NaN Brazilian States Federative Unit of Brazil where the participant resides. Categorical Text referring to the Federative Unit of Brazil. ARTICLE: Effectiveness of a Learning Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis AUTHORS: Karla Mônica Dantas Coutinho1,2, Humberto Rabelo2,3, Felipe Fernandes2,4, Karilany Dantas Coutinho2,5,6, Ricardo Alexsandro de Medeiros Valentim2,5,6, Aline de Pinho Dias2,6, Janaína Luana Rodrigues da Silva Valentim2, Natalia Araújo do Nascimento Batista2,8, Manoel Honorio Romão2, Priscila Sanara da Cunha², Aliete Cunha-Oliveira3,7, Susana Henriques8, Sancha Helena de Lima Vale1,9, Luciana Protásio de Melo2, Lucia Leite-Lais2,9*, Kenio Costa de Lima1 1 Health Sciences Graduate Program, Federal University of Rio Grande do Norte, Natal, Brazil 2 Laboratory for Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte, Natal, Brazil 3 Center for Interdisciplinary Studies - CEIS20, University of Coimbra, Coimbra, Portugal 4 Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, Portugal 5 Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil 6 Health Innovation and Management Graduate Program, Federal University of Rio Grande do Norte, Natal, Brazil 7 Health Sciences Research Unit: Nursing (UICISA:E)/Coimbra School of Nursing, Coimbra, Portugal 8 Center for Global Studies — CEG, Universidade Aberta, Lisboa, Portugal 9 Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil