Development and validation of an online nomogram to predict breast cancer screening participation among high-risk...

This study aimed to identify determinants of breast cancer screening participation among high-risk women and to develop an online nomogram to facilitate individualized risk prediction.

A cross-sectional study was conducted among 463 women at high risk for breast cancer between January and June 2024. Data were collected using structured questionnaires assessing sociodemographic characteristics, breast cancer screening knowledge, health beliefs, and self-efficacy. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of screening participation. A nomogram was subsequently constructed to visually estimate the probability of screening uptake based on significant predictors.

The screening participation rate was 57.7%. Seven independent predictors were identified: breastfeeding history, regular health checkups, history of benign breast disease, recommendation from health professionals, screening knowledge level, perceived susceptibility, and perceived barriers. The nomogram demonstrated good discriminatory performance and provided an intuitive tool for estimating individualized screening probability.

Breast cancer screening participation among high-risk women remains insufficient. The developed online nomogram offers a practical tool for identifying women at lower likelihood of screening participation and may assist health care providers in implementing targeted, evidence-based interventions to enhance screening uptake.