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A Review and Meta-analysis of Colorectal Cancer Utilities

Author

Listed:
  • Sandjar Djalalov
  • Linda Rabeneck
  • George Tomlinson
  • Karen E. Bremner
  • Robert Hilsden
  • Jeffrey S. Hoch

Abstract

Objective. To perform a systematic review of utility weights for colorectal cancer (CRC) health states reported in the scientific literature and to determine the effects of disease factors, patient characteristics, and utility methods on utility values. Methods. We identified 26 articles written in English and published from January 1980 to January 2013, providing 351 unique utilities for CRC health states elicited from 6546 unique respondents. The CRC utility data were analyzed using linear mixed-effects models with CRC type, stage, time to or from initial care, utility measurement instrument, and administration method as independent variables. Results. In the base case model, the estimated utility for a patient with stage I to III CRC more than 1 year after surgery, rated using a self-administered time tradeoff instrument, was 0.90. Stage, time to or from initial care, and utility measurement instrument were associated with statistically significant utility differences ranging from −0.19 to 0.02. Utilities for patients with stage IV cancer were 0.19 lower (P

Suggested Citation

  • Sandjar Djalalov & Linda Rabeneck & George Tomlinson & Karen E. Bremner & Robert Hilsden & Jeffrey S. Hoch, 2014. "A Review and Meta-analysis of Colorectal Cancer Utilities," Medical Decision Making, , vol. 34(6), pages 809-818, August.
    • Handle: RePEc:sae:medema:v:34:y:2014:i:6:p:809-818
    DOI: 10.1177/0272989X14536779
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    References listed on IDEAS

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    2. Peasgood, T & Ward, S & Brazier, J, 2010. "A review and meta-analysis of health state utility values in breast cancer," MPRA Paper 29950, University Library of Munich, Germany.
    3. Dolan, Paul, 1996. "Modelling valuations for health states: the effect of duration," Health Policy, Elsevier, vol. 38(3), pages 189-203, December.
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    1. Jiryoun Gong & Juhee Han & Donghwan Lee & Seungjin Bae, 2020. "A Meta-Regression Analysis of Utility Weights for Breast Cancer: The Power of Patients’ Experience," IJERPH, MDPI, vol. 17(24), pages 1-16, December.
    2. James Kingsley & Siddharth Karanth & Frances Lee Revere & Deepak Agrawal, 2016. "Cost Effectiveness of Screening Colonoscopy Depends on Adequate Bowel Preparation Rates – A Modeling Study," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-17, December.
    3. Michael J. Zoratti & A. Simon Pickard & Peep F. M. Stalmeier & Daniel Ollendorf & Andrew Lloyd & Kelvin K W Chan & Don Husereau & John E. Brazier & Murray Krahn & Mitchell Levine & Lehana Thabane & Fe, 2021. "Evaluating the conduct and application of health utility studies: a review of critical appraisal tools and reporting checklists," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 723-733, July.
    4. Tristan M Snowsill & Neil A J Ryan & Emma J Crosbie & Ian M Frayling & D Gareth Evans & Chris J Hyde, 2019. "Cost-effectiveness analysis of reflex testing for Lynch syndrome in women with endometrial cancer in the UK setting," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-18, August.
    5. S Lucas Goede & Linda Rabeneck & Marjolein van Ballegooijen & Ann G Zauber & Lawrence F Paszat & Jeffrey S Hoch & Jean H E Yong & Sonja Kroep & Jill Tinmouth & Iris Lansdorp-Vogelaar, 2017. "Harms, benefits and costs of fecal immunochemical testing versus guaiac fecal occult blood testing for colorectal cancer screening," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-15, March.

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