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Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening
BACKGROUND: Follow-up rate after a fecal occult blood test (FOBT) is low worldwide. In order to increase the follow-up rate, segmentation of the target population has been proposed as a promising strategy, because an intervention can then be tailored toward specific subgroups of the population rathe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852589/ https://www.ncbi.nlm.nih.gov/pubmed/24112563 http://dx.doi.org/10.1186/1471-2407-13-470 |
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author | Ishikawa, Yoshiki Zheng, Ying-Fang Nishiuchi, Hiromu Suda, Takeo Hasumi, Tadahiko Saito, Hiroshi |
author_facet | Ishikawa, Yoshiki Zheng, Ying-Fang Nishiuchi, Hiromu Suda, Takeo Hasumi, Tadahiko Saito, Hiroshi |
author_sort | Ishikawa, Yoshiki |
collection | PubMed |
description | BACKGROUND: Follow-up rate after a fecal occult blood test (FOBT) is low worldwide. In order to increase the follow-up rate, segmentation of the target population has been proposed as a promising strategy, because an intervention can then be tailored toward specific subgroups of the population rather than using one type of intervention for all groups. The aim of this study is to identify subgroups that share the same patterns of characteristics related to follow-up exams after FOBT. METHODS: The study sample consisted of 143 patients aged 50–69 years who were requested to undergo follow-up exams after FOBT. A classification tree analysis was performed, using the follow-up rate as a dependent variable and sociodemographic variables, psychological variables, past FOBT and follow-up exam, family history of colorectal cancer (CRC), and history of bowel disease as predictive variables. RESULTS: The follow-up rate in 143 participants was 74.1% (n = 106). A classification tree analysis identified four subgroups as follows; (1) subgroup with a high degree of fear of CRC, unemployed and with a history of bowel disease (n = 24, 100.0% follow-up rate), (2) subgroup with a high degree of fear of CRC, unemployed and with no history of bowel disease (n = 17, 82.4% follow-up rate), (3) subgroup with a high degree of fear of CRC and employed (n = 24, 66.7% follow-up rate), and (4) subgroup with a low degree of fear of CRC (n = 78, 66.7% follow-up rate). CONCLUSION: The identification of four subgroups with a diverse range of follow-up rates for CRC screening indicates the direction to take in future development of an effective tailored intervention strategy. |
format | Online Article Text |
id | pubmed-3852589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38525892013-12-06 Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening Ishikawa, Yoshiki Zheng, Ying-Fang Nishiuchi, Hiromu Suda, Takeo Hasumi, Tadahiko Saito, Hiroshi BMC Cancer Research Article BACKGROUND: Follow-up rate after a fecal occult blood test (FOBT) is low worldwide. In order to increase the follow-up rate, segmentation of the target population has been proposed as a promising strategy, because an intervention can then be tailored toward specific subgroups of the population rather than using one type of intervention for all groups. The aim of this study is to identify subgroups that share the same patterns of characteristics related to follow-up exams after FOBT. METHODS: The study sample consisted of 143 patients aged 50–69 years who were requested to undergo follow-up exams after FOBT. A classification tree analysis was performed, using the follow-up rate as a dependent variable and sociodemographic variables, psychological variables, past FOBT and follow-up exam, family history of colorectal cancer (CRC), and history of bowel disease as predictive variables. RESULTS: The follow-up rate in 143 participants was 74.1% (n = 106). A classification tree analysis identified four subgroups as follows; (1) subgroup with a high degree of fear of CRC, unemployed and with a history of bowel disease (n = 24, 100.0% follow-up rate), (2) subgroup with a high degree of fear of CRC, unemployed and with no history of bowel disease (n = 17, 82.4% follow-up rate), (3) subgroup with a high degree of fear of CRC and employed (n = 24, 66.7% follow-up rate), and (4) subgroup with a low degree of fear of CRC (n = 78, 66.7% follow-up rate). CONCLUSION: The identification of four subgroups with a diverse range of follow-up rates for CRC screening indicates the direction to take in future development of an effective tailored intervention strategy. BioMed Central 2013-10-10 /pmc/articles/PMC3852589/ /pubmed/24112563 http://dx.doi.org/10.1186/1471-2407-13-470 Text en Copyright © 2013 Ishikawa et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ishikawa, Yoshiki Zheng, Ying-Fang Nishiuchi, Hiromu Suda, Takeo Hasumi, Tadahiko Saito, Hiroshi Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening |
title | Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening |
title_full | Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening |
title_fullStr | Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening |
title_full_unstemmed | Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening |
title_short | Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening |
title_sort | classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852589/ https://www.ncbi.nlm.nih.gov/pubmed/24112563 http://dx.doi.org/10.1186/1471-2407-13-470 |
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