Mathematical Sciences Research Centre, Queen's University Belfast, Belfast, Northern Ireland.
Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland.
Syst Rev. 2023 Jan 27;12(1):14. doi: 10.1186/s13643-023-02173-w.
Colorectal cancer (CRC) is becoming an increasing health problem worldwide. However, with the help of screening, early diagnosis can reduce incidence and mortality rates. To elevate the economic burden that CRC can cause, cost-effectiveness analysis (CEA) can assist healthcare systems to make screening programmes more cost-effective and prolong survival for early-stage CRC patients. This review aims to identify different CEA modelling methods used internationally to evaluate health economics of CRC screening.
This review will systematically search electronic databases which include MEDLINE, EMBASE, Web of Science and Scopus. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidance recommendations will design the review, and the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement will be used to extract relevant data from studies retrieved. Two reviewers will screen through the evidence using the PICOS (Participant, Intervention, Comparators, Outcomes, Study Design) framework, with a third reviewer to settle any disagreements. Once data extraction and quality assessment are complete, the results will be presented qualitatively and tabulated using the CHEERS checklist.
The results obtained from the systematic review will highlight how different CRC screening programmes around the world utilise and incorporate health economic modelling methods to be more cost-effective. This information can help modellers develop CEA models which can be adapted to suit the specific screening programmes that they are evaluating.
PROSPERO CRD42022296113.
结直肠癌(CRC)在全球范围内正成为一个日益严重的健康问题。然而,通过筛查,可以早期诊断,从而降低发病率和死亡率。为了减轻 CRC 可能带来的经济负担,成本效益分析(CEA)可以帮助医疗保健系统使筛查计划更具成本效益,并延长早期 CRC 患者的生存时间。本综述旨在确定国际上用于评估 CRC 筛查健康经济学的不同 CEA 建模方法。
本综述将系统地搜索包括 MEDLINE、EMBASE、Web of Science 和 Scopus 在内的电子数据库。将采用《系统评价和荟萃分析报告的首选报告项目》(PRISMA)指南建议来设计综述,并使用《健康经济评估报告标准》(CHEERS)声明从检索到的研究中提取相关数据。两名评审员将使用 PICOS(参与者、干预、对照、结局、研究设计)框架筛选证据,第三名评审员将解决任何分歧。一旦完成数据提取和质量评估,将使用 CHEERS 清单以定性和表格形式呈现结果。
系统综述的结果将突出显示世界各地不同的 CRC 筛查计划如何利用和纳入健康经济建模方法以提高成本效益。这些信息可以帮助建模者开发 CEA 模型,这些模型可以适应他们正在评估的特定筛查计划。
PROSPERO CRD42022296113。