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ORIGINAL ARTICLE
Year : 2022  |  Volume : 6  |  Issue : 1  |  Page : 36-42

Socioeconomic and clinical factors associated with disease-related knowledge of cardiac rehabilitation patients in Brazil


1 Clinics Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil
2 Physiotherapy Department, Federal University of Minas Gerais, Belo Horizonte, Brazil
3 RC Physiotherapy Clinic, Belo Horizonte, Brazil
4 Cardiovascular Prevention and Rehabilitation Program, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada

Correspondence Address:
Dr. Gabriela L M. Ghisi
Toronto Rehabilitation Institute, University Health Network, 347 Rumsey Road, Toronto, Ontario - M4G 1R7,
Canada
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/hm.hm_64_21

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Objective: The objective of this study was to identify socioeconomic and clinical factors associated with disease-related knowledge of cardiac rehabilitation (CR) patients. Methods: Adults with coronary artery disease (CAD) were recruited during CR Phase 1 and completed questionnaires on the 1st day of Phase 2. Disease-related knowledge was assessed by the short version of the CAD Education Questionnaire. Socioeconomic status was defined by educational level, family income, and employment status. MannWhitney U and Spearman correlation were calculated to determine the association of knowledge with socioeconomic factors, number of risk factors, and wait time between hospital discharge and start of outpatient CR. Results: A convenience sample of 39 patients were recruited. Overall, the mean knowledge was 12.00 ± 3.3, which corresponds to 60% of possible scores. Monthly family income and number of risk factors influenced medical condition knowledge (P < 0.05), and employment status influenced total knowledge (P = 0.005) and risk factor knowledge (P = 0.002). Participants with three or more risk factors presented significantly higher knowledge (P = 0.02). Those that waited more than 17 weeks to start the CR presented significantly lower knowledge (P = 0.04). Conclusion: Participants with low income and unemployed were more likely to have inadequate disease-related knowledge; however, the entire sample presented low understanding of their condition. Public health strategies and educational interventions must continue to focus on these vulnerable groups.


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