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

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 screen...

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Autores principales: de Bekker-Grob, Esther W., Donkers, Bas, Veldwijk, Jorien, Jonker, Marcel F., Buis, Sylvia, Huisman, Jan, Bindels, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884368/
https://www.ncbi.nlm.nih.gov/pubmed/33150461
http://dx.doi.org/10.1007/s40271-020-00477-w
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author de Bekker-Grob, Esther W.
Donkers, Bas
Veldwijk, Jorien
Jonker, Marcel F.
Buis, Sylvia
Huisman, Jan
Bindels, Patrick
author_facet de Bekker-Grob, Esther W.
Donkers, Bas
Veldwijk, Jorien
Jonker, Marcel F.
Buis, Sylvia
Huisman, Jan
Bindels, Patrick
author_sort de Bekker-Grob, Esther W.
collection PubMed
description 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.
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spelling pubmed-78843682021-02-25 What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment de Bekker-Grob, Esther W. Donkers, Bas Veldwijk, Jorien Jonker, Marcel F. Buis, Sylvia Huisman, Jan Bindels, Patrick Patient Original Research Article 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. Springer International Publishing 2020-11-05 2021 /pmc/articles/PMC7884368/ /pubmed/33150461 http://dx.doi.org/10.1007/s40271-020-00477-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research Article
de Bekker-Grob, Esther W.
Donkers, Bas
Veldwijk, Jorien
Jonker, Marcel F.
Buis, Sylvia
Huisman, Jan
Bindels, Patrick
What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
title What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
title_full What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
title_fullStr What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
title_full_unstemmed What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
title_short What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment
title_sort what factors influence non-participation most in colorectal cancer screening? a discrete choice experiment
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884368/
https://www.ncbi.nlm.nih.gov/pubmed/33150461
http://dx.doi.org/10.1007/s40271-020-00477-w
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