Study Selection and Data Extraction
Dual-reviewer screening and extraction are identified as strengths because they reduce selection bias. The team may consider quality assessment after reviewing the included study designs, even though formal quality assessment is not normal…
9 sources - 41 claims
Dual-reviewer screening and extraction are identified as strengths because they reduce selection bias. The team may consider quality assessment after reviewing the included study designs, even though formal quality assessment is not normally required in scoping reviews. Extracted variables will include study details, economic analytic details, intervention details, comparators and cost-effectiveness outcomes. Citations will be imported into EndNote X21 for deduplication before screening. Two independent reviewers will screen titles and abstracts and assess full texts after a pilot test. Two reviewers will independently extract data using a team-developed form that can be refined during the review. Disagreements in study selection will be resolved by discussion or a third reviewer. Two independent reviewers will perform study selection in Covidence with blind review enabled. Retrieved citations will be imported into Covidence for duplicate removal and screening. If PPI reporting is insufficient in an RCT publication, protocols will be searched and authors contacted for more information. Two reviewers will independently screen titles and abstracts using predefined inclusion criteria…