Knowledge of professional healthcare providers about sickle cell disease: Impact of a distance education course
Autor: | Leonardo Gonçalves Pinheiro Júnior, Adriana Silvina Pagano, Ilka Afonso Reis, Heloisa de Carvalho Torres, Ana Paula Fernandes, Katy Karoline Santos Diniz |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
medicine.medical_specialty
business.industry lcsh:RC633-647.5 Sickle cell disease Distance education Primary health care Attendance Hematology Disease lcsh:Diseases of the blood and blood-forming organs Anemia falciforme Knowledge acquisition symbols.namesake Knowledge Health education Family medicine symbols medicine Immunology and Allergy Original Article Poisson regression business Healthcare providers Healthcare provider |
Zdroj: | Hematology, Transfusion and Cell Therapy, Vol 41, Iss 1, Pp 62-68 (2019) Hematology, Transfusion and Cell Therapy Repositório Institucional da UFMG Universidade Federal de Minas Gerais (UFMG) instacron:UFMG Hematology, Transfusion and Cell Therapy, Volume: 41, Issue: 1, Pages: 62-68, Published: 15 APR 2019 |
ISSN: | 2531-1379 |
Popis: | Objective: To assess the impact of the distance education course “Sickle Cell Disease: Primary Health Care Line” on knowledge acquisition of professional healthcare providers. Methods: A cross-sectional study was conducted with a quantitative approach at the Educational and Support Center for Hemoglobinopathies (Cehmob-MG), state of Minas Gerais, Brazil, in 2016. One hundred and fifty-three out of 300 professional healthcare providers were invited to participate in the proposed distance course. Of the participating professional healthcare providers, 72 (47%) successfully concluded the course (Group A), whereas 81 (53%) did not complete their course assignments and did not meet the minimum requirements for regular attendance (Group B). Knowledge acquisition was assessed with the Knowledge of Sickle Cell Disease Instrument, DFConhecimento, applied using the web tool eSurv. Univariate analysis by Poisson regression was employed to assess the influence of sociodemographic variables on the DFConhecimento score and to select variables to compose the initial multivariate regression model (p-value |
Databáze: | OpenAIRE |
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