Related Experiment Videos
Instrument refinement for breast cancer screening behaviors
1Indiana University, School of Nursing, Indianapolis.
Nursing Research
|May 1, 1993
Summary
This study refined a Health Belief Model instrument for breast cancer screening. The validated tool accurately measures women's beliefs about breast self-examination, aiding early detection efforts.
Area of Science:
- Health Psychology
- Medical Sociology
- Cancer Prevention Research
Background:
- The Health Belief Model (HBM) is a framework for understanding health behaviors.
- Accurate measurement of HBM constructs is crucial for effective health interventions.
- Breast cancer screening, including breast self-examination (BSE), is vital for early detection.
Purpose of the Study:
- To refine an instrument measuring HBM concepts related to breast cancer and BSE.
- To enhance the measurement of susceptibility, seriousness, benefits, barriers, health motivation, and confidence.
- To provide a validated tool for research and clinical application in breast cancer prevention.
Main Methods:
- Development and refinement of attitudinal scales using a Likert format.
- Content analysis by national experts for item validation.
- Exploratory factor analysis for construct validity.
- Simultaneous multiple regression and bivariate correlations for predictive validity.
- Cronbach's alpha and test-retest correlations for reliability assessment.
Main Results:
- The revised instrument demonstrated strong reliability, with Cronbach's alpha coefficients ranging from .80 to .93.
- Test-retest correlations indicated moderate stability, ranging from .45 to .70.
- Construct and predictive validity were established, confirming the instrument's ability to measure HBM constructs and predict BSE behavior.
Conclusions:
- The refined instrument effectively measures Health Belief Model constructs relevant to breast cancer and breast self-examination.
- The validated tool can be utilized to assess women's beliefs and inform targeted interventions for improving BSE practices.
- This contributes to the development of evidence-based strategies for breast cancer early detection and prevention.