Design and Psychometric Evaluation of Mammography Behavior Predicting Scale

Background: Breast cancer disease is an important public health trouble in the world. Over the past 2 decades, incidences of breast cancer among Iranian women have shown an alarmingly rapid increase. Mammography screening can lead to early detection and management of breast cancer and it also plays an important preventive role in decreasing breast cancer, especially among women over 40 years old. Objectives: This paper aims at reporting the psychometric properties of a questionnaire on mammography behavior based on health action process approach (HAPA) model. Methods: This cross-sectional study was performed between May and September 2017, and was attended by 400 women aged 40 years and older, in comprehensive health service centers in Iran. The research subjects were selected by multi-stage cluster sampling. The instrument was designed basis on the constructs of HAPA and current literature. The scale’s psychometric properties were examined by exploratory factor analysis (EFA), infraclass correlation coefficient (ICC), and Cronbach’s alpha. Results: The results showed 45 items of the questionnaire, 41 items had important item-to-total correlations (P 0.05), and they were placed in 8 factors that contributed 60.88% of the scale variance. Conclusions: The research findings contribute to the reliability and validity of the HAPA model for predictively evaluating mammography goals.