Optimizing initial screening for colorectal cancer detection with adherence behavior

Background: Two-stage screening programs are widely adopted for early colorectal cancer (CRC) detection, where individuals receiving positive outcomes in the first-stage (initial) test are recommended to undergo a second-stage test (colonoscopy) for further diagnosis. Methods: We study the initial t...

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Main Authors: GAO, Sarah Yini, HE, Yan, ZHANG, Ruijie, ZHENG, Zhichao, LAM, Shao Wei Lam, TAN, Emile
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Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/7681
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8680/viewcontent/SSRN_id3951864.pdf
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spelling sg-smu-ink.lkcsb_research-86802025-02-21T04:20:10Z Optimizing initial screening for colorectal cancer detection with adherence behavior GAO, Sarah Yini HE, Yan ZHANG, Ruijie ZHENG, Zhichao LAM, Shao Wei Lam TAN, Emile Background: Two-stage screening programs are widely adopted for early colorectal cancer (CRC) detection, where individuals receiving positive outcomes in the first-stage (initial) test are recommended to undergo a second-stage test (colonoscopy) for further diagnosis. Methods: We study the initial test design—the selection of cutoffs for reporting test outcomes—to balance the trade-off between screening effectiveness (i.e., CRC and polyp detection) and efficiency (i.e., colonoscopy costs), incorporating the fact that not all individuals follow up with a colonoscopy after receiving positive outcomes. We integrate the Bayesian persuasion framework with information avoidance to model this problem and apply it to Singapore's CRC screening program design. We calibrate the model using various sources of data, including a nationwide survey with 3,920 responses in Singapore. Results: We show that under certain conditions, using a single cutoff is optimal for maximizing follow-up, while showing exact biomarker readings is optimal for maximizing effectiveness. Our results suggest that, compared to the current practice, raising the cutoff to our recommended level of 39 µg/g can detect 20.83% more CRC and polyp incidences, reduce 26.98% colonoscopies, and lower the lifetime risk of CRC by 11.03%. This could reduce public healthcare expenditure by S$19.93 million and individual spending by S$11.96 million on average in screening costs. Conclusions: Choosing appropriate cutoffs for the initial test can significantly improve the screening effectiveness while efficiently managing colonoscopy demands. The current practice of using lower cutoffs to achieve high sensitivity can result in an excessive number of unnecessary colonoscopies and low adherence rates. 2024-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7681 info:doi/10.1287/mnsc.2023.01319 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8680/viewcontent/SSRN_id3951864.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Cancer Screening Cutoff Selection Adherence Bayesian Persuasion Information Avoidance Operations and Supply Chain Management Public Health
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Cancer Screening
Cutoff Selection
Adherence
Bayesian Persuasion
Information Avoidance
Operations and Supply Chain Management
Public Health
spellingShingle Cancer Screening
Cutoff Selection
Adherence
Bayesian Persuasion
Information Avoidance
Operations and Supply Chain Management
Public Health
GAO, Sarah Yini
HE, Yan
ZHANG, Ruijie
ZHENG, Zhichao
LAM, Shao Wei Lam
TAN, Emile
Optimizing initial screening for colorectal cancer detection with adherence behavior
description Background: Two-stage screening programs are widely adopted for early colorectal cancer (CRC) detection, where individuals receiving positive outcomes in the first-stage (initial) test are recommended to undergo a second-stage test (colonoscopy) for further diagnosis. Methods: We study the initial test design—the selection of cutoffs for reporting test outcomes—to balance the trade-off between screening effectiveness (i.e., CRC and polyp detection) and efficiency (i.e., colonoscopy costs), incorporating the fact that not all individuals follow up with a colonoscopy after receiving positive outcomes. We integrate the Bayesian persuasion framework with information avoidance to model this problem and apply it to Singapore's CRC screening program design. We calibrate the model using various sources of data, including a nationwide survey with 3,920 responses in Singapore. Results: We show that under certain conditions, using a single cutoff is optimal for maximizing follow-up, while showing exact biomarker readings is optimal for maximizing effectiveness. Our results suggest that, compared to the current practice, raising the cutoff to our recommended level of 39 µg/g can detect 20.83% more CRC and polyp incidences, reduce 26.98% colonoscopies, and lower the lifetime risk of CRC by 11.03%. This could reduce public healthcare expenditure by S$19.93 million and individual spending by S$11.96 million on average in screening costs. Conclusions: Choosing appropriate cutoffs for the initial test can significantly improve the screening effectiveness while efficiently managing colonoscopy demands. The current practice of using lower cutoffs to achieve high sensitivity can result in an excessive number of unnecessary colonoscopies and low adherence rates.
format text
author GAO, Sarah Yini
HE, Yan
ZHANG, Ruijie
ZHENG, Zhichao
LAM, Shao Wei Lam
TAN, Emile
author_facet GAO, Sarah Yini
HE, Yan
ZHANG, Ruijie
ZHENG, Zhichao
LAM, Shao Wei Lam
TAN, Emile
author_sort GAO, Sarah Yini
title Optimizing initial screening for colorectal cancer detection with adherence behavior
title_short Optimizing initial screening for colorectal cancer detection with adherence behavior
title_full Optimizing initial screening for colorectal cancer detection with adherence behavior
title_fullStr Optimizing initial screening for colorectal cancer detection with adherence behavior
title_full_unstemmed Optimizing initial screening for colorectal cancer detection with adherence behavior
title_sort optimizing initial screening for colorectal cancer detection with adherence behavior
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/lkcsb_research/7681
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8680/viewcontent/SSRN_id3951864.pdf
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