Prediction of cervical cancer screening: application of the information-motivation-behavioral skills model

Abstract

IntroductionScreening is an effective method for preventing cervical cancer. The present study aimed to determine the predictability of cervical cancer screening using the information-motivation-behavioral skills (IMB) model, as this model can help understand the factors that influence health-related behaviors.MethodThe present cross-sectional study examined 310 women aged 20 to 60 in Isfahan, Iran, between 2020 and 2021. To this end, comprehensive health centers and gynecology clinics of hospitals were randomly selected by lot. Women who met the study’s inclusion criteria were selected via convenience sampling. An IMB skills questionnaire developed by researchers comprised the data collection tool. The data were analyzed using SPSS 22 software, descriptive and regression tests, and AMOS 24.0 software.FindingsApproximately 18.1% of the participants had never undergone routine cervical cancer screening. The regression model results indicated that the model components accurately predicted regular cervical cancer screening (P < 0.00). Path analysis revealed that information (β = 0.05, P = 0.002), motivation (β = 0.187, P = 0.026), and behavioral skills (β = 0.95, P < 0.001) were directly associated with regular cervical cancer screening. Furthermore, behavioral skills had the greatest direct effect on regular cervical cancer screening.Discussion and conclusionThe results demonstrated that the IMB model accurately predicted cervical cancer screening. Therefore, it is possible to improve cervical cancer screening in women by designing and implementing interventions based on this model’s components, particularly those that improve behavioral skills.