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Prediction of cervical cancer screening: application of the information-motivation-behavioral skills model
BMC Cancer ( IF 3.8 ) Pub Date : 2024-03-19 , DOI: 10.1186/s12885-024-12098-9
Marzieh Ghasemi , Mitra Savabi-Esfahani , Mahnaz Noroozi , Mohammad Satari

Screening 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. The 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. Approximately 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. The 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.

中文翻译:

宫颈癌筛查的预测:信息-动机-行为技能模型的应用

筛查是预防宫颈癌的有效方法。本研究旨在利用信息-动机-行为技能(IMB)模型确定宫颈癌筛查的可预测性,因为该模型可以帮助理解影响健康相关行为的因素。本横断面研究对 2020 年至 2021 年间伊朗伊斯法罕 310 名 20 岁至 60 岁的女性进行了调查。为此,通过抽签随机选择综合保健中心和医院妇科诊所。符合该研究纳入标准的女性是通过便利抽样选出的。研究人员开发的 IMB 技能调查问卷包含了数据收集工具。使用 SPSS 22 软件、描述性和回归测试以及 AMOS 24.0 软件对数据进行分析。大约 18.1% 的参与者从未接受过常规宫颈癌筛查。回归模型结果表明,模型组件准确预测了定期宫颈癌筛查(P < 0.00)。路径分析显示,信息(β = 0.05,P = 0.002)、动机(β = 0.187,P = 0.026)和行为技能(β = 0.95,P < 0.001)与定期宫颈癌筛查直接相关。此外,行为技能对定期宫颈癌筛查具有最大的直接影响。结果表明,IMB 模型准确预测了宫颈癌筛查。因此,通过根据该模型的组成部分设计和实施干预措施,特别是那些提高行为技能的干预措施,可以改善女性宫颈癌筛查。
更新日期:2024-03-19
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