Who does not get screened? A simple model of the complex relationships in mammogram non-attendance

In this study, we analyzed survey data from 474 women aged 41 years and older using decision trees. By incorporating personality, religiousness, and age, we were able to correctly classify 42.9 percent of non-attenders compared to 4.4 percent with logistic regression analysis. Our findings suggest that incorporating personality and religiousness attributes may increase non-attender identification. Furthermore, the simple profile generated by decision trees provides a clear map useful for intervention planning.
Source: Journal of Health Psychology - Category: Psychiatry & Psychology Authors: Tags: Articles Source Type: research