Validation of a Portuguese version of the Information Needs in Cardiac Rehabilitation (INCR) scale in Brazil |
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Authors: | Gabriela Lima de Melo Ghisi MS Rafaella Zulianello dos Santos Christiani Batista Decker Bonin Suellen RoussenqSherry L Grace PhD Paul Oh Magnus Benetti |
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Institution: | 1. Exercise Sciences Department, Faculty of Kinesiology & Physical Education, University of Toronto, Toronto, Canada;2. Cardiac Rehabilitation and Prevention Program, Toronto Rehabilitation Institute, University Health Network, 347 Rumsey Road, Toronto, ON M4G 1R7, Canada;3. Health Sciences and Sports Center, State University of Santa Catarina, Rua Pascoal Simone, 358, Coqueiros, Florianópolis, Santa Catarina CEP: 8808-350, Brazil;4. School of Kinesiology and Health Science, York University, 4700 Keele St., Toronto, ON M3J 1P3, Canada |
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Abstract: | ObjectivesTo translate, culturally adapt and psychometrically validate the Information Needs in Cardiac Rehabilitation (INCR) tool to Portuguese.BackgroundThe identification of information needs is considered the first step to improve knowledge that ultimately could improve health outcomes.MethodsThe Portuguese version generated was tested in 300 cardiac rehabilitation patients (CR) (34% women; mean age = 61.3 ± 2.1 years old). Test-retest reliability was assessed using intraclass correlation coefficient (ICC), the internal consistency using Cronbach's alpha, and the criterion validity was assessed with regard to patients' education and duration in CR.ResultsAll 9 subscales were considered internally consistent (á > 0.7). Significant differences between mean total needs and educational level (p < 0.05) and duration in CR (p = 0.03) supported criterion validity. The overall mean (4.6 ± 0.4), as well as the means of the 9 subscales were high (emergency/safety was the greatest need).ConclusionThe Portuguese INCR was demonstrated to have sufficient reliability, consistency and validity. |
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Keywords: | Cardiovascular diseases Rehabilitation Patient education Needs assessment Questionnaires Psychometric validation |
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