Abstract

Breast cancer perception is closely associated with the incidence of breast cancer among community-dwelling women. Consequently, it is crucial to enhance their breast cancer survival rate by assessing their cognitive status and implementing targeted interventions. This study aimed to translate the breast cancer perception scale into Chinese and validate its psychometric properties among community women. A cross-sectional study method was introduced in this study. After obtaining the original author's authorization, the breast cancer perception scale was translated into Chinese using the Brislin back-translation method. Item analysis was employed to examine the discriminative power of the items, and the Delphi method was utilized to assess content validity. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to evaluate the scale's construct validity. Internal consistency and test-retest reliability were calculated to analyze reliability. A total of 24 items were retained in the item analysis, and the content validity index of the translated scale was 0.964. In the EFA, six common factors were extracted, namely perceived knowledge, perceived treatment belief, perceived need for health checks, perceived stigma, perceived fear, and perceived risk, accounting for 74.911% of the cumulative variance. The CFA results were as follows: χ2/df = 1.301, GFI = 0.903, NFI = 0.913, TLI = 0.975, CFI = 0.978, IFI = 0.979, RMSEA = 0.037. The Cronbach's α coefficients, split-half reliability, and test-retest reliability of the translated scale were 0.895, 0.661, and 0.865, respectively. The Chinese version of the breast cancer perception scale demonstrated suitable psychometric properties among community women. By evaluating results according to the scale, medical staff can enhance breast cancer prevention awareness and care for community-dwelling women and subsequently implement corresponding modifications.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call