Estimating the Cost of 3 Risk Prediction Strategies for Potential Use in the United Kingdom National Breast Screening Program

Author:

Wright Stuart J.1ORCID,Eden Martin1,Ruane Helen2,Byers Helen34,Evans D. Gareth24356,Harvie Michelle25678,Howell Sacha J.26789ORCID,Howell Anthony26789,French David810,Payne Katherine1

Affiliation:

1. Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK

2. The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK

3. Division of Evolution and Genomic Science, The University of Manchester, Manchester, UK

4. Manchester Centre of Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK

5. Manchester Academic Health Science Centre, Health Innovation Manchester, Manchester, UK

6. Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK

7. Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK

8. NIHR Manchester Biomedical Research Centre, The University of Manchester and Manchester University NHS foundation trust

9. The Christie NHS Foundation Trust, Manchester, UK

10. Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK

Abstract

Background Economic evaluations have suggested that risk-stratified breast cancer screening may be cost-effective but have used assumptions to estimate the cost of risk prediction. The aim of this study was to identify and quantify the resource use and associated costs required to introduce a breast cancer risk-stratification approach into the English national breast screening program. Methods A micro-costing study, conducted alongside a cohort-based prospective trial (BC-PREDICT), identified the resource use and cost per individual (£; 2021 price year) of providing a risk-stratification strategy at a woman’s first mammography. Costs were calculated for 3 risk-stratification approaches: Tyrer-Cuzick survey, Tyrer-Cuzick with Volpara breast-density measurement, and Tyrer-Cuzick with Volpara breast-density measurement and testing for 142 single nucleotide polymorphisms (SNP). Costs were determined for the intervention as implemented in the trial and in the health service. Results The cost of providing the risk-stratification strategy was calculated to be £16.45 for the Tyrer-Cuzick survey approach, £21.82 for the Tyrer-Cuzick with Volpara breast-density measurement, and £102.22 for the Tyrer-Cuzick with Volpara breast-density measurement and SNP testing. Limitations This study did not use formal expert elicitation methods to synthesize estimates. Conclusion The costs of risk prediction using a survey and breast density measurement were low, but adding SNP testing substantially increases costs. Implementation issues present in the trial may also significantly increase the cost of risk prediction. Implications This is the first study to robustly estimate the cost of risk-stratification for breast cancer screening. The cost of risk prediction using questionnaires and automated breast density measurement was low, but full economic evaluations including accurate costs are required to provide evidence of the cost-effectiveness of risk-stratified breast cancer screening. Highlights Economic evaluations have suggested that risk-stratified breast cancer screening may be a cost-effective use of resources in the United Kingdom. Current estimates of the cost of risk stratification are based on pragmatic assumptions. This study provides estimates of the cost of risk stratification using 3 strategies and when these strategies are implemented perfectly and imperfectly in the health system. The cost of risk stratification is relatively low unless single nucleotide polymorphisms are included in the strategy.

Funder

NIHR Biomedical Research Centre, The University of Manchester

Programme Grants for Applied Research

Cancer Research UK

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health,Health Policy

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