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Patients’ Preferences and Priorities Regarding Colorectal Cancer Screening

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Listed:
  • James G. Dolan
  • Emily Boohaker
  • Jeroan Allison
  • Thomas F. Imperiale

Abstract

Background . US colorectal cancer screening guidelines for people at average risk for colorectal cancer endorse multiple screening options and recommend that screening decisions reflect individual patient preferences. Methods . The authors used the analytic hierarchy process (AHP) to ascertain decision priorities of people at average risk for colorectal cancer attending primary care practices in Rochester, New York; Birmingham, Alabama; and Indianapolis, Indiana. The analysis included 4 decision criteria, 3 subcriteria, and 10 options. Results . Four hundred eighty-four people completed the study; 66% were female, 49% were African American, 9% had low literacy skills, and 27% had low numeracy skills. Overall, preventing cancer was given the highest priority (mean priority 55%), followed by avoiding screening test side effects (mean priority 17%), minimizing false-positive test results (mean priority 15%), and the combined priority of screening frequency, test preparation, and the test procedure(s) (mean priority 14%). Hierarchical cluster analysis revealed 6 distinct priority groupings containing multiple instances of decision priorities that differed from the average value by a factor of 4 or more. More than 90% of the study participants fully understood the concepts involved, 79% met AHP analysis quality standards, and 88% were willing to use similar methods to help make important health care decisions. Conclusion . These results highlight the need to facilitate incorporation of patient preferences into colorectal cancer screening decisions. The large number of study participants able and willing to perform the complex AHP analysis used for this study suggests that the AHP is a useful tool for identifying the patient-specific priorities needed to ensure that screening decisions appropriately reflect individual patient preferences.

Suggested Citation

  • James G. Dolan & Emily Boohaker & Jeroan Allison & Thomas F. Imperiale, 2013. "Patients’ Preferences and Priorities Regarding Colorectal Cancer Screening," Medical Decision Making, , vol. 33(1), pages 59-70, January.
  • Handle: RePEc:sae:medema:v:33:y:2013:i:1:p:59-70
    DOI: 10.1177/0272989X12453502
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    References listed on IDEAS

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    1. Ernest H. Forman & Saul I. Gass, 2001. "The Analytic Hierarchy Process---An Exposition," Operations Research, INFORMS, vol. 49(4), pages 469-486, August.
    2. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, September.
    3. Liberatore, Matthew J. & Nydick, Robert L., 2008. "The analytic hierarchy process in medical and health care decision making: A literature review," European Journal of Operational Research, Elsevier, vol. 189(1), pages 194-207, August.
    4. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    5. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    6. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
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    1. Holly O. Witteman & Ruth Ndjaboue & Gratianne Vaisson & Selma Chipenda Dansokho & Bob Arnold & John F. P. Bridges & Sandrine Comeau & Angela Fagerlin & Teresa Gavaruzzi & Melina Marcoux & Arwen Pieter, 2021. "Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis," Medical Decision Making, , vol. 41(7), pages 801-820, October.

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