Patients' Preferences About Rescheduling Colonoscopies Delayed Due to COVID-19: Cross Sectional Study

The study is a cross-sectional survey study targeting patients aged 45-75 who had their screening or surveillance colonoscopy postponed or delayed due to the COVID pandemic. Staff will survey a random subsample of patients to assess anxiety, COVID risk tolerance, cancer worry, willingness to screen and barriers to screening colonoscopy, and preference for colonoscopy and alternative colon cancer screening options. Study staff will work with the gastroenterology department to identify patients whose colonoscopy has been delayed due to COVID-19 and who meet the eligibility criteria. A random sample of about 300 eligible patients will be selected for the survey study. Eligible patients will be sent a survey packet in the mail that will include a cover letter, an information sheet describing the study, an incentive, and the survey. The cover letter will include information for participants to opt-out if they desire. Patients will be asked to complete the survey and return it back to study staff. Patients will also be able to complete the survey online via a RedCap link. Consent is implied with return of the completed survey. Staff will make up to three reminder phone calls and will send a reminder packet to non responders. The study staff will invite 300 patients and expect to receive about 195 completed surveys. Analyses will first examine whether there are differences between responders and non responders. Then, the analysis will examine descriptive statistics exploring patients' interest in colon cancer screening, strength of preference for switching to stool based testing or postponing colonoscopy for a year. The analyses will explore patients' perspective towards colonoscopy in the coming months and factors associated with positive or negative perceptions of colonoscopy such as anxiety, cancer worry, COVID worry and risk perceptions. The relationships between these factors will be examined using chi-square analysis (for categorical data) and correlations (for continuous data). Models will be used to explore factors associated with different preferences for screening.