Literature DB >> 28626068

Colorectal Cancer Screening: How Health Gains and Cost-Effectiveness Vary by Ethnic Group, the Impact on Health Inequalities, and the Optimal Age Range to Screen.

Melissa McLeod1, Giorgi Kvizhinadze2, Matt Boyd3, Jan Barendregt4, Diana Sarfati2, Nick Wilson2, Tony Blakely2.   

Abstract

Background: Screening programs consistently underserve indigenous populations despite a higher overall burden of cancer. In this study, we explore the likely health gains and cost-effectiveness of a national colorectal cancer screening program for the indigenous Māori population of New Zealand (NZ).
Methods: A Markov model estimated: health benefits (quality-adjusted life-year; QALY), costs, and cost-effectiveness of biennial immunochemical fecal occult blood testing (FOBTi) of 50- to 74-year-olds from 2011. Input parameters came from literature reviews, the NZ Bowel Screening Programme Pilot, and NZ linked health datasets. Equity analyses substituted non-Māori values for Māori values of background (noncolorectal cancer) morbidity and mortality, colorectal cancer survival and incidence, screening coverage, and stage-specific survival. We measured the change in "quality-adjusted life expectancy" (QALE) as a result of the intervention.
Results: Based upon a threshold of GDP per capita (NZ$45,000), colorectal cancer screening in NZ using FOBTi is cost-effective: NZ$2,930 (US$1,970) per QALY gained [95% uncertainty interval: cost saving to $6,850 (US$4,610)]. Modeled health gains per capita for Māori were less than for non-Māori: half for 50- to 54-year-olds (0.031 QALYs per person for Māori vs. 0.058 for non-Māori), and a fifth (0.003 c.f. 0.016) for 70- to 74-year-olds and ethnic inequalities in QALE increased with colorectal cancer screening.Conclusions: Colorectal cancer screening in NZ using FOBTi is likely to be cost-effective but risks increasing inequalities in health for Māori.Impact: To avoid or mitigate the generation of further health inequalities, attention should be given to underserved population groups when planning and implementing screening programs. Cancer Epidemiol Biomarkers Prev; 26(9); 1391-400. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28626068     DOI: 10.1158/1055-9965.EPI-17-0150

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  4 in total

1.  Biomarker roles identification of miR-106 family for predicting the risk and poor survival of colorectal cancer.

Authors:  Qiliang Peng; Yi Shen; Peifeng Zhao; Ming Cheng; Yaqun Zhu; Bo Xu
Journal:  BMC Cancer       Date:  2020-06-03       Impact factor: 4.430

2.  Risk Stratification in Cost-Effectiveness Analyses of Cancer Screening: Intervention Eligibility, Strategy Choice, and Optimality.

Authors:  James F O'Mahony
Journal:  Med Decis Making       Date:  2021-10-11       Impact factor: 2.583

3.  Simulation modeling validity and utility in colorectal cancer screening delivery: A systematic review.

Authors:  Heather Smith; Peyman Varshoei; Robin Boushey; Craig Kuziemsky
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

4.  Impact of low-dose CT screening for lung cancer on ethnic health inequities in New Zealand: a cost-effectiveness analysis.

Authors:  Melissa McLeod; Peter Sandiford; Giorgi Kvizhinadze; Karen Bartholomew; Sue Crengle
Journal:  BMJ Open       Date:  2020-09-24       Impact factor: 2.692

  4 in total

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