LAUSR

Background Visual displays such as charts and tables may significantly moderate the effects of audit and feedback interventions, but the systematic study of these intervention components will likely remain limited without a method for isolating the information content of a visual display from its form elements. The objective of this study is to introduce such a method based on an application of visualization frameworks to enable a systematic approach to answer the question, “What was visualized?” in studies of audit and feedback. Methods The proposed method uses 3 steps to systematically identify and describe the content of visual displays in feedback interventions: 1) identify displays , 2) classify content , and 3) identify elements . The use of a visualization framework led us to identify information content types as representations of measures (metrics or indicators), ascribees (feedback recipients and comparators), performance levels , and time intervals . We illustrate the proposed method in a series of 3 content analyses, one for each step, to identify visual displays and their information content in published example performance summaries. Results We analyzed a convenience sample of 44 published studies of audit and feedback. Through each step, two coders had good agreement. We identified 42 visual displays of performance, containing 6 unique combinations of content types. What was visualized most commonly in the sample was performance levels across a recipient and comparators (i.e. ascribees) for a single measure and single time interval ( n  = 16). Content types varied in their inclusion of measures, ascribees, and time intervals. Conclusions The proposed method appears to be feasible to use as a systematic approach to describing visual displays of performance. The key implication of the method is that it offers more granular and consistent description for empirical, theoretical, and design studies about the information content of feedback interventions.