Background: Despite their inclusion in Rogers’ seminal diffusion of innovations theory, few implementation studies empirically evaluate the role of intervention characteristics. Now, with growing evidence on the role of adaptation in implementation, high-quality measures of characteristics such as adaptability, trialability, and complexity are needed. Only two systematic reviews of implementation measures captured those related to the intervention or innovation and their assessment of psychometric properties was limited. This manuscript reports on the results of eight systematic reviews of measures of intervention characteristics with nuanced data regarding a broad range of psychometric properties. Methods: The systematic review proceeded in three phases. Phase I, data collection, involved search string generation, title and abstract screening, full text review, construct assignment, and citation searches. Phase II, data extraction, involved coding psychometric information. Phase III, data analysis, involved two trained specialists independently rating each measure using PAPERS (Psychometric And Pragmatic Evidence Rating Scales). Results: Searches identified 16 measures or scales: zero for intervention source, one for evidence strength and quality, nine for relative advantage, five for adaptability, six for trialability, nine for complexity, and two for design quality and packaging. Information about internal consistency and norms was available for most measures, whereas information about other psychometric properties was most often not available. Ratings for psychometric properties fell in the range of “poor” to “good.” Conclusion: The results of this review confirm that few implementation scholars are examining the role of intervention characteristics in behavioral health studies. Significant work is needed to both develop new measures (e.g., for intervention source) and build psychometric evidence for existing measures in this forgotten domain. Plain Language Summary Intervention characteristics have long been perceived as critical factors that directly influence the rate of adopting an innovation. It remains unclear the extent to which intervention characteristics including relative advantage, complexity, trialability, intervention source, design quality and packaging, evidence strength and quality, adaptability, and cost impact implementation of evidence-based practices in behavioral health settings. To unpack the differential influence of these factors, high quality measures are needed. Systematic reviews can identify measures and synthesize the data regarding their quality to identify gaps in the field and inform measure development and testing efforts. Two previous reviews identified measures of intervention characteristics, but they did not provide information about the extent of the existing evidence nor did they evaluate the host of evidence available for identified measures. This manuscript summarizes the results of nine systematic reviews (i.e., one for each of the factors listed above) for which 16 unique measures or scales were identified. The nuanced findings will help direct measure development work in this forgotten domain.
Sharing intermediate datasets from systematic reviews
