Construction and validation of the CADE-Q for patient education in cardiac rehabilitation programs

Arq Bras Cardiol. 2010 Jun;94(6):813-22. doi: 10.1590/s0066-782x2010005000045. Epub 2010 May 7.
[Article in English, Portuguese]

Abstract

Background: Being aware of the coronary artery disease can be considered the first step to reduce the risk of cardiac complications.

Objective: Building and validating a tool to assess and describe coronary patients' awareness in cardiac rehabilitation programs, with the purpose of education.

Methods: For the construction, we analyzed articles and field studies to submit items to multidisciplinary team associated to cardiac rehabilitation. After this analysis, we generated the version tested in a pilot study. The tool, named CADE-Q (Questionnaire for Coronary Patient Education) was applied in 155 patients aged 61 +/- 9 (min = 36, max = 86) in response to cardiac rehabilitation programs. Out of the 155 patients, 114 were men. Internal consistency was measured by Cronbach's alpha coefficient. Reproducibility was tested by the intraclass correlation coefficient (ICC) and construct validity was performed by exploratory factor analysis. The analysis compared the total scores as a function population characteristics and rehabilitation groups (private and public).

Results: The final version has 19 questions with 4 alternatives, with 4 quadrants of awareness. Cronbach's alpha was 0.68 and ICC was 0.783. The factor analysis revealed 6 factors, covering three areas of awareness, which demonstrates the multifactorial nature of the instrument. The population characteristics as a function of the total score showed significant differences depending on the socioeconomic status variables (type of rehabilitation, household income and education level).

Conclusion: CADE-Q has proper validity and reliability to be used in the Brazilian population in future research.

Publication types

  • Validation Study

MeSH terms

  • Aged
  • Brazil
  • Coronary Artery Disease / rehabilitation*
  • Factor Analysis, Statistical
  • Female
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Male
  • Middle Aged
  • Patient Education as Topic / methods*
  • Reproducibility of Results
  • Socioeconomic Factors
  • Statistics, Nonparametric
  • Surveys and Questionnaires / standards*
  • Time Factors