Use of Structured Template and Reporting Tool for Real-World Evidence for Critical Appraisal of the Quality of Reporting of Real-World Evidence Studies: A Systematic Review

被引:4
|
作者
Khambholja, Kapil [1 ]
Gehani, Manish [2 ]
机构
[1] Genpro Res Inc, Dept Med Writing & Real World Evidence, 303 Wyman St,Ste 300, Waltham, MA 02451 USA
[2] Genpro Res Pvt Ltd, Dept Med Writing & Real World Evidence, Thiruvananthapuram, India
关键词
gap analysis; real-world evidence; STaRT-RWE template; systematic review; SAFETY; RISK;
D O I
10.1016/j.jval.2022.09.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
Objectives: Real-world evidence (RWE) studies are increasingly being used to support healthcare decisions. Various frame-works, tools, and checklists exist for ensuring quality of real-world data, designing robust studies, and assessing potential for bias. In January 2021, Structured Template and Reporting Tool for RWE (STaRT-RWE) was released to further reduce ambiguity, assumptions, and misinterpretation while planning, implementing, and reporting RWE studies of the safety and effectiveness of treatments. The objective of this study was to identify gaps in the reporting quality of published RWE studies by using this template for critical appraisal.Methods: Two reviewers conducted a keyword search on PubMed for free-full-text research articles using real-world data, RWE design, and safety with or without effectiveness outcomes of a medicinal product or intervention in humans of any age or gender, published in English between January 13, 2021, and January 13, 2022. Assessment of risk of bias was done using Assessment of Real-World Observational Studies critical appraisal tool. Deficiencies in methods and findings as per STaRT-RWE template were reported as frequencies.Results: A total of 54 of 2374 retrieved studies were included in the review. Based on the STaRT-RWE template, the studies inadequately reported empirically defined covariates, power and sample size calculation, attrition, sensitivity analyses, index date (day 0) defining criterion, predefined covariates, outcome, metadata about data source and software, objective, inclusion and exclusion criteria, analysis specifications, and follow-up.Conclusions: The use of STaRT-RWE template along with its tables, design diagram, and library of published studies has a potential of improving robustness of RWE studies.
引用
收藏
页码:427 / 434
页数:8
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