Factors Associated With Colonoscopy Compliance Based on Health Belief Model in a Community-Based Colorectal Cancer Screening Program Shanghai, China.

Abstract

Screening can help early detection of colorectal cancer (CRC) in the general population. However, colonoscopy compliance in screening program is low in China. The study aimed to identify factors associated with colonoscopy compliance based on Health Belief Model (HBM). An investigation was conducted in Huangpu District, Shanghai in 2015. High-risk individuals of CRC received an in-person interview with physicians to fill out a questionnaire. The questionnaires assessing predictors of colonoscopy compliance were collected, and status of colonoscopy participation was determined. Univariate and multiple logistic regression analyses were conducted. Among 2,568 high-risk population (20.68%), 531 subjects underwent colonoscopy. Participants with both risk assessment and fecal immunochemical test positive were most likely to undergo colonoscopy. Based on HBM, colonoscopy compliance was positively associated with higher perceived severity (odds ratio [OR] = 1.05, 95% confidence interval [CI] = [1.00, 1.10]). Higher perceived barriers (OR = 0.97, 95% CI = [0.94, 0.99]), without prior colonoscopy (OR = 0.35, 95% CI = [0.26, 0.47]), not knowing anyone who underwent colonoscopy before (OR = 0.74, 95% CI = [0.58, 0.96]), without health-care provider recommendation on colonoscopy (OR = 0.58, 95% CI = [0.44, 0.77]), and without psychosocial support from someone for colonoscopy (OR = 0.27, 95% CI = [0.21, 0.35]) were shown to be associated with colonoscopy noncompliance. The colonoscopy compliance was low in this CRC screening program in Shanghai, China. The influencing factors were positive results in primary screening, perceived severity, perceived barriers, personal or others’ experiences in colonoscopy, health-care provider recommendation, and psychosocial supports. Effective education campaign and facilitated communication between health-care providers and high-risk population were suggested in the future interventions.