Interactive CRC Screening Education in Primary Care

描述(由申请人提供) 定期筛查可降低结直肠癌(CRC)的发病率和死亡率。然而，筛查率仍然很低，这表明需要进行旨在增加筛查行为的创新研究。这项研究的目的是开发和测试交互式计算机辅助癌症筛查亭(CACSK)的可行性。根据健康信念模型(HBM)和跨理论模型(TTM)得出的概念框架，CACSK将使用定制的癌症通信来传播有关结直肠癌风险和筛查的信息。 这项研究的主要目的是开发和测试CACSK干预在4个初级保健诊所的使用情况，这些参与者被随机分配到对照或干预条件下。研究参与者的资格标准包括50岁或以上，没有结直肠癌，以及患有结直肠癌的风险为中等或中等。控制组每隔4周回答两份问卷。参与者将被招募到初级保健诊所，并随机分为对照组或干预组。干预组将回答一份关于结直肠癌风险和筛查知识和信念的计算机问卷，通过CACSK完成一次教育会议，并在6周后进行干预后调查。对照组的患者将每隔6周完成类似的基线和随访调查，但不会接受干预。 数据分析将包括评估CACSK在初级保健环境中实施的可行性以及可用性。将评估两种行为结果(是否进行过筛查)和准备进行结直肠癌筛查的阶段(基于TTM)，以及筛查行为的社会人口学和信念预测因素，以及与初级保健环境特征的关联。将使用二项和多项Logistic回归模型来评估筛查、测试、使用和准备阶段。社会人口学和信仰变量将作为协变量，干预组作为主要的独立预测变量。

DESCRIPTION (provided by applicant) Regular screening reduces both morbidity and mortality from colorectal cancer (CRC). Screening rates, however, remain low suggesting the need for innovative research designed to increase screening behavior. The purpose of this study is to develop and test the feasibility of an interactive, computer-assisted cancer screening kiosk (CACSK). Based on a conceptual framework derived from the Health Belief Model (HBM) and Transtheoretical Model (TTM), the CACSK will use tailored cancer communications to disseminate information about CRC risk and screening. The primary aim of this study is to develop and test the use of the CACSK intervention in 4 primary care clinics among 175 participants randomly assigned to control or intervention conditions. Eligibility criteria for study participants includes being 50 years or older, not having CRC, and being of average or moderate risk for CRC. Those in the control group will answer two questionnaires 4 weeks apart. Participants will be recruited in primary care clinics and randomized to control or intervention groups. Those in the intervention group will answer a computer-based questionnaire on knowledge and beliefs about CRC risk and screening, complete an educational session via CACSK, and a post-intervention survey 6 weeks later. Those in the control group will complete similar baseline and follow-up surveys 6 weeks apart but will not receive the intervention. Data analyses will include evaluating the CACSK for feasibility of implementation in a primary care setting as well as usability. Dichotomous behavioral outcomes (had screening test or not) and stages of readiness to perform CRC screening (based on the TTM) will be assessed, as well as sociodemographic and belief predictors of screening behavior, and associations with primary care setting characteristics. Binomial and multinomial logistic regression models will be conducted to evaluate screening test use and stage of readiness. Sociodemographic and belief variables will be used as covariates, with intervention group as the primary independent predictor.