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What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
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What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
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What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment

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What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
Journal Article

What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment

2021
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Overview
Background and Objective Non-participation in colorectal cancer (CRC) screening needs to be decreased to achieve its full potential as a public health strategy. To facilitate successful implementation of CRC screening towards unscreened individuals, this study aimed to quantify the impact of screening and individual characteristics on non-participation in CRC screening. Methods An online discrete choice experiment partly based on qualitative research was used among 406 representatives of the Dutch general population aged 55–75 years. In the discrete choice experiment, respondents were offered a series of choices between CRC screening scenarios that differed on five characteristics: effectiveness of the faecal immunochemical screening test, risk of a false-negative outcome, test frequency, waiting time for faecal immunochemical screening test results and waiting time for a colonoscopy follow-up test. The discrete choice experiment data were analysed in a systematic manner using random-utility-maximisation choice processes with scale and/or preference heterogeneity (based on 15 individual characteristics) and/or random intercepts. Results Screening characteristics proved to influence non-participation in CRC screening (21.7–28.0% non-participation rate), but an individual’s characteristics had an even higher impact on CRC screening non-participation (8.4–75.5% non-participation rate); particularly the individual’s attitude towards CRC screening followed by whether the individual had participated in a cancer screening programme before, the decision style of the individual and the educational level of the individual. Our findings provided a high degree of confidence in the internal–external validity. Conclusions This study showed that although screening characteristics proved to influence non-participation in CRC screening, a respondent’s characteristics had a much higher impact on CRC screening non-participation. Policy makers and physicians can use our study insights to improve and tailor their communication plans regarding (CRC) screening for unscreened individuals.