Abstract

Systematic reviews (“reviews”) underpin health decisionmaking. The Systematic Review Data Repository (SRDR), developed by our team in 2012, is a widely-used, free, online, open-access system for extracting, managing, and archiving primary study data gathered during reviews. To make review data, including outcomes, query-able and more readily accessible to decisionmakers, we are developing “SRDR 2.0”, a platform for sharing summary review data digitally and interactively. Our objective in this presentation is to describe the development of SRDR 2.0 and to demonstrate its use. To determine the structured information (“structured elements”) that would be of interest to decisionmakers, we followed two steps. Step 1: We identified potential structured elements from common items reported in 10 published reviews. Step 2: We engaged 21 international academic and non-academic stakeholders representing diverse perspectives. Through iterative discussion, we developed the final list of structured elements. During Step 1, we identified 68 potential structured elements. During Step 2, through elimination and consolidation, we finalized 44 structured elements. We organized elements into three categories: Category 1 (related to the entire systematic review), Category 2 (related to specific populations, interventions/exposures, comparators, outcomes, study design, and settings of interest), and Category 3 (related to results for specific outcomes). By applying various filtering options (e.g., participant age or sex, intervention dose, outcomes), the user can visualize the number of relevant studies, outcomes, and results, such as meta-analyses. SRDR 2.0 will display information through interactive, user-friendly formats such as accordion-style headings, where the user clicks on headings to reveal underlying information, and mouse-overs, where underlying information is revealed only once the user hovers the mouse over a heading. SRDR 2.0 will serve as a new platform for sharing outcomes and other summary systematic review data with diverse users. SRDR 2.0 has the potential to greatly facilitate evidence-based decision-making.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call