Hurdle Poisson Regression Model for Identifying Factors Related to Noncompliance and Waiting Time for Confirmatory Diagnosis in Colorectal Cancer Screening

Hsiao Hsuan Jen, Tsung Hsi Wang, Han Mo Chiu, Szu Min Peng, Chen Yang Hsu, Sherry Yueh Hsia Chiu, Sam Li Sheng Chen, Amy Ming Fang Yen, Yi Chia Lee, Hsiu Hsi Chen, Jean Ching Yuan Fann

研究成果: 雜誌貢獻文章

摘要

Objectives Population-based colorectal cancer (CRC) screening programs that use a fecal immunochemical test (FIT) are often faced with a noncompliance issue and its subsequent waiting time (WT) for those FIT positives complying with confirmatory diagnosis. We aimed to identify factors associated with both of the correlated problems in the same model.Methods A total of 294,469 subjects, either with positive FIT test results or having a family history, collected from 2004 to 2013 were enrolled for analysis. We applied a hurdle Poisson regression model to accommodate the hurdle of compliance and also its related WT for undergoing colonoscopy while assessing factors responsible for the mixture of the two outcomes.Results The effect on compliance and WT varied with contextual factors, such as geographic areas, type of screening units, and level of urbanization. The hurdle score, representing the risk score in association with noncompliance, and the WT score, reflecting the rate of taking colonoscopy, were used to classify subjects into each of three groups representing the degree of compliance and the level of health awareness.Conclusion Our model was not only successfully applied to evaluating factors associated with the compliance and the WT distribution, but also developed into a useful assessment model for stratifying the risk and predicting whether and when screenees comply with the procedure of receiving confirmatory diagnosis given contextual factors and individual characteristics.
原文英語
頁(從 - 到)85-91
頁數7
期刊International Journal of Technology Assessment in Health Care
35
發行號2
DOIs
出版狀態已發佈 - 一月 1 2019

指紋

Early Detection of Cancer
Colorectal Neoplasms
Compliance
Colonoscopy
Urbanization
Health Status
Population

ASJC Scopus subject areas

  • Health Policy

引用此文

Hurdle Poisson Regression Model for Identifying Factors Related to Noncompliance and Waiting Time for Confirmatory Diagnosis in Colorectal Cancer Screening. / Jen, Hsiao Hsuan; Wang, Tsung Hsi; Chiu, Han Mo; Peng, Szu Min; Hsu, Chen Yang; Chiu, Sherry Yueh Hsia; Chen, Sam Li Sheng; Yen, Amy Ming Fang; Lee, Yi Chia; Chen, Hsiu Hsi; Fann, Jean Ching Yuan.

於: International Journal of Technology Assessment in Health Care, 卷 35, 編號 2, 01.01.2019, p. 85-91.

研究成果: 雜誌貢獻文章

Jen, Hsiao Hsuan ; Wang, Tsung Hsi ; Chiu, Han Mo ; Peng, Szu Min ; Hsu, Chen Yang ; Chiu, Sherry Yueh Hsia ; Chen, Sam Li Sheng ; Yen, Amy Ming Fang ; Lee, Yi Chia ; Chen, Hsiu Hsi ; Fann, Jean Ching Yuan. / Hurdle Poisson Regression Model for Identifying Factors Related to Noncompliance and Waiting Time for Confirmatory Diagnosis in Colorectal Cancer Screening. 於: International Journal of Technology Assessment in Health Care. 2019 ; 卷 35, 編號 2. 頁 85-91.
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abstract = "Objectives Population-based colorectal cancer (CRC) screening programs that use a fecal immunochemical test (FIT) are often faced with a noncompliance issue and its subsequent waiting time (WT) for those FIT positives complying with confirmatory diagnosis. We aimed to identify factors associated with both of the correlated problems in the same model.Methods A total of 294,469 subjects, either with positive FIT test results or having a family history, collected from 2004 to 2013 were enrolled for analysis. We applied a hurdle Poisson regression model to accommodate the hurdle of compliance and also its related WT for undergoing colonoscopy while assessing factors responsible for the mixture of the two outcomes.Results The effect on compliance and WT varied with contextual factors, such as geographic areas, type of screening units, and level of urbanization. The hurdle score, representing the risk score in association with noncompliance, and the WT score, reflecting the rate of taking colonoscopy, were used to classify subjects into each of three groups representing the degree of compliance and the level of health awareness.Conclusion Our model was not only successfully applied to evaluating factors associated with the compliance and the WT distribution, but also developed into a useful assessment model for stratifying the risk and predicting whether and when screenees comply with the procedure of receiving confirmatory diagnosis given contextual factors and individual characteristics.",
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AU - Chiu, Han Mo

AU - Peng, Szu Min

AU - Hsu, Chen Yang

AU - Chiu, Sherry Yueh Hsia

AU - Chen, Sam Li Sheng

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AB - Objectives Population-based colorectal cancer (CRC) screening programs that use a fecal immunochemical test (FIT) are often faced with a noncompliance issue and its subsequent waiting time (WT) for those FIT positives complying with confirmatory diagnosis. We aimed to identify factors associated with both of the correlated problems in the same model.Methods A total of 294,469 subjects, either with positive FIT test results or having a family history, collected from 2004 to 2013 were enrolled for analysis. We applied a hurdle Poisson regression model to accommodate the hurdle of compliance and also its related WT for undergoing colonoscopy while assessing factors responsible for the mixture of the two outcomes.Results The effect on compliance and WT varied with contextual factors, such as geographic areas, type of screening units, and level of urbanization. The hurdle score, representing the risk score in association with noncompliance, and the WT score, reflecting the rate of taking colonoscopy, were used to classify subjects into each of three groups representing the degree of compliance and the level of health awareness.Conclusion Our model was not only successfully applied to evaluating factors associated with the compliance and the WT distribution, but also developed into a useful assessment model for stratifying the risk and predicting whether and when screenees comply with the procedure of receiving confirmatory diagnosis given contextual factors and individual characteristics.

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