Researchers also identified potential drivers of RI system performance from data extracted from written sources and key informant interviews, using the following criteria:
- Association with RI system performance—is there improved system performance or improved outcomes?
- Frequency of the evidence or occurrence of the driver—how often does this driver area emerge?
- Triangulation of data sources—is this driver emerging from one or more data source?
- Strength of evidence—is the evidence categorized as 3 or 4 (using ARISE definitions)?
- How driver resonates with the experience of technical team—is it plausible or known to be important for positive performance?
Researchers recorded each potential driver that emerged in a “driver journal,” which documented evidence and project thinking about the particular driver area. From that exhaustive list, a short list of drivers that have both a theoretical basis, suggesting importance, and those that that emerged from a larger and more rigorous evidence base, was derived.