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Inter-rater reliability and concurrent validity of ROBINS-I: protocol for a cross-sectional study
Maya M Jeyaraman1,2, Rasheda Rabbani3,4, Nameer Al-Yousif3
1The George and Fay Yee Center for Healthcare Innovation, University of Manitoba, 753 McDermot Avenue, Winnipeg, MB, R3E 0T6, Canada. maya.jeyaraman@umanitoba.ca.
Systematic Reviews
|January 15, 2020
Summary
This study assessed the reliability and validity of the Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool. Findings will guide consistent application and improve evidence quality from non-randomized studies.
Area of Science:
- Medical research methodology
- Evidence-based medicine
Background:
- The Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool was developed by the Cochrane Bias Methods Group.
- Consistent application and interpretation of ROBINS-I are crucial for systematic reviews.
- Understanding the impact of training on ROBINS-I reliability is important.
Purpose of the Study:
- To establish the inter-rater reliability (IRR), inter-consensus reliability (ICR), and concurrent validity of the ROBINS-I tool.
- To identify barriers to using the ROBINS-I tool, such as evaluator burden and time commitment.
- To evaluate the effect of specialized training and guidance on ROBINS-I assessment reliability.
Main Methods:
- A cross-sectional study involving reviewers from four centers appraising non-randomized studies of interventions (NRSI).
- Two stages of assessment: without and with customized training and guidance.
- Inter-rater reliability and inter-consensus reliability calculated using Gwet's AC1 statistic; concurrent validity assessed against the Newcastle-Ottawa Scale (NOS) using Kendall's tau coefficient.
Main Results:
- The study aims to provide data on the reliability and validity of the ROBINS-I tool.
- It will quantify the impact of training on assessment consistency.
- Evaluator burden and time commitment for using ROBINS-I will be measured.
Conclusions:
- Findings will enhance the understanding and application of the ROBINS-I tool.
- This research will contribute to improving the quality of evidence from systematic reviews of NRSI.
- The study will inform best practices for using ROBINS-I in research synthesis.
Keywords:
Concurrent validityCross-sectional studyInter-consensus reliabilityInter-rater reliabilityNon-randomized studiesROBINS-I
