Literature DB >> 31707584

Survival and costs of colorectal cancer treatment and effects of changing treatment strategies: a model approach.

Paal Joranger1,2, Arild Nesbakken3,4,5, Halfdan Sorbye6,7, Geir Hoff8,9,10, Arne Oshaug11, Eline Aas12.   

Abstract

New and emerging advances in colorectal cancer (CRC) treatment combined with limited healthcare resources highlight the need for detailed decision-analytic models to evaluate costs, survival and quality-adjusted life years. The objectives of this article were to estimate the expected lifetime treatment cost of CRC for an average 70-year-old patient and to test the applicability and flexibility of a model in predicting survival and costs of changing treatment scenarios. The analyses were based on a validated semi-Markov model using data from a Norwegian observational study (2049 CRC patients) to estimate transition probabilities and the proportion resected. In addition, inputs from the Norwegian Patient Registry, guidelines, literature, and expert opinions were used to estimate resource use. We found that the expected lifetime treatment cost for a 70-year-old CRC patient was €47,300 (CRC stage I €26,630, II €38,130, III €56,800, and IV €69,890). Altered use of palliative chemotherapy would increase the costs by up to 29%. A 5% point reduction in recurrence rate for stages I-III would reduce the costs by 5.3% and increase overall survival by 8.2 months. Given the Norwegian willingness to pay threshold per QALY gained, society's willingness to pay for interventions that could result in such a reduction was on average €28,540 per CRC patient. The life years gained by CRC treatment were 6.05 years. The overall CRC treatment costs appear to be low compared to the health gain, and the use of palliative chemotherapy can have a major impact on cost. The model was found to be flexible and applicable for estimating the cost and survival of several CRC treatment scenarios.

Entities:  

Keywords:  Analyse innovations; Chemotherapy; Colorectal cancer; Cost; Markov model; Surgery

Mesh:

Year:  2019        PMID: 31707584     DOI: 10.1007/s10198-019-01130-6

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  30 in total

Review 1.  Global patterns of cancer incidence and mortality rates and trends.

Authors:  Ahmedin Jemal; Melissa M Center; Carol DeSantis; Elizabeth M Ward
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-07-20       Impact factor: 4.254

2.  Tumour location is a prognostic factor for survival in colonic cancer patients.

Authors:  O H Sjo; O C Lunde; K Nygaard; L Sandvik; A Nesbakken
Journal:  Colorectal Dis       Date:  2007-08-02       Impact factor: 3.788

3.  Colorectal cancer screening differential costs for younger versus older Americans.

Authors:  Uri Ladabaum; Kathryn A Phillips
Journal:  Am J Prev Med       Date:  2006-03-23       Impact factor: 5.043

4.  The impact of 29 chronic conditions on health-related quality of life: a general population survey in Finland using 15D and EQ-5D.

Authors:  Samuli I Saarni; Tommi Härkänen; Harri Sintonen; Jaana Suvisaari; Seppo Koskinen; Arpo Aromaa; Jouko Lönnqvist
Journal:  Qual Life Res       Date:  2006-09-08       Impact factor: 4.147

Review 5.  Nutrition and physical activity guidelines for cancer survivors.

Authors:  Cheryl L Rock; Colleen Doyle; Wendy Demark-Wahnefried; Jeffrey Meyerhardt; Kerry S Courneya; Anna L Schwartz; Elisa V Bandera; Kathryn K Hamilton; Barbara Grant; Marji McCullough; Tim Byers; Ted Gansler
Journal:  CA Cancer J Clin       Date:  2012-04-26       Impact factor: 508.702

6.  Budget impact analysis-principles of good practice: report of the ISPOR 2012 Budget Impact Analysis Good Practice II Task Force.

Authors:  Sean D Sullivan; Josephine A Mauskopf; Federico Augustovski; J Jaime Caro; Karen M Lee; Mark Minchin; Ewa Orlewska; Pete Penna; Jose-Manuel Rodriguez Barrios; Wen-Yi Shau
Journal:  Value Health       Date:  2013-12-13       Impact factor: 5.725

Review 7.  Cost-of-illness analysis. What room in health economics?

Authors:  Rosanna Tarricone
Journal:  Health Policy       Date:  2005-09-01       Impact factor: 2.980

8.  Physical activity and male colorectal cancer survival.

Authors:  Jeffrey A Meyerhardt; Edward L Giovannucci; Shuji Ogino; Gregory J Kirkner; Andrew T Chan; Walter Willett; Charles S Fuchs
Journal:  Arch Intern Med       Date:  2009-12-14

9.  The impact of dietary and lifestyle risk factors on risk of colorectal cancer: a quantitative overview of the epidemiological evidence.

Authors:  Rachel R Huxley; Alireza Ansary-Moghaddam; Peter Clifton; Sebastien Czernichow; Christine L Parr; Mark Woodward
Journal:  Int J Cancer       Date:  2009-07-01       Impact factor: 7.396

10.  Prognostic and Predictive Relevance of Primary Tumor Location in Patients With RAS Wild-Type Metastatic Colorectal Cancer: Retrospective Analyses of the CRYSTAL and FIRE-3 Trials.

Authors:  Sabine Tejpar; Sebastian Stintzing; Fortunato Ciardiello; Josep Tabernero; Eric Van Cutsem; Frank Beier; Regina Esser; Heinz-Josef Lenz; Volker Heinemann
Journal:  JAMA Oncol       Date:  2017-02-01       Impact factor: 31.777

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  1 in total

1.  18F FDG PET/MRI with hepatocyte-specific contrast agent for M staging of rectal cancer: a primary economic evaluation.

Authors:  Felix G Gassert; Johannes Rübenthaler; Clemens C Cyran; Johann S Rink; Vincent Schwarze; Johanna Luitjens; Florian T Gassert; Marcus R Makowski; Stefan O Schoenberg; Marius E Mayerhoefer; Dietmar Tamandl; Matthias F Froelich
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-03-09       Impact factor: 9.236

  1 in total

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