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

IF 1.9 Q3 HEALTH CARE SCIENCES & SERVICES MDM Policy and Practice Pub Date : 2023-05-04 eCollection Date: 2023-01-01 DOI:10.1177/23814683231171363
Stuart J Wright, Martin Eden, Helen Ruane, Helen Byers, D Gareth Evans, Michelle Harvie, Sacha J Howell, Anthony Howell, David French, Katherine Payne
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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.

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估算可能用于英国国家乳腺筛查计划的 3 种风险预测策略的成本。
背景:经济评估表明,风险分级乳腺癌筛查可能具有成本效益,但在估算风险预测成本时使用了假设条件。本研究旨在确定和量化在英国全国乳腺癌筛查计划中引入乳腺癌风险分级方法所需的资源使用和相关成本:方法:在开展基于队列的前瞻性试验(BC-PREDICT)的同时,还进行了一项微观成本计算研究,确定了在女性首次乳房 X 光检查时提供风险分级策略的资源使用情况和人均成本(英镑;2021 价格年)。计算了 3 种风险分级方法的成本:Tyrer-Cuzick调查、Tyrer-Cuzick与Volpara乳腺密度测定,以及Tyrer-Cuzick与Volpara乳腺密度测定和142个单核苷酸多态性(SNP)检测。对试验中和医疗服务中实施的干预措施的成本进行了测定:根据计算,采用泰勒-库齐克调查法提供风险分级策略的成本为 16.45 英镑,采用泰勒-库齐克与 Volpara 乳腺密度测量法的成本为 21.82 英镑,采用泰勒-库齐克与 Volpara 乳腺密度测量法和 SNP 检测法的成本为 102.22 英镑:本研究没有使用正式的专家征询方法来综合估算:结论:使用调查和乳腺密度测量进行风险预测的成本较低,但增加 SNP 检测会大幅增加成本。试验中存在的实施问题也可能大大增加风险预测的成本:这是第一项对乳腺癌筛查风险分级成本进行可靠估算的研究。使用调查问卷和自动乳腺密度测量进行风险预测的成本较低,但需要进行包括精确成本在内的全面经济评估,以提供风险分层乳腺癌筛查成本效益的证据:目前对风险分层成本的估算是基于务实的假设。本研究提供了使用 3 种策略进行风险分层的成本估算,以及这些策略在医疗系统中完美实施和不完美实施时的成本估算。
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来源期刊
MDM Policy and Practice
MDM Policy and Practice Medicine-Health Policy
CiteScore
2.50
自引率
0.00%
发文量
28
审稿时长
15 weeks
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