In this Excel-based webtool, the user can insert relevant hospital risks (e.g. the standardized risks from the previous year), select a benchmark (a clinically relevant deviation) and a statistical confidence level. The theoretical sensitivities and specificities that result from different scenarios are then calculated and summarized through ROC curves. Developed by Bart Van Rompaye and Anita Lindmark.
Referens: Lindmark, A., Van Rompaye, B., Goetghebeur, E., Glader, E-L. and Eriksson, M. (2016). ”The importance of integrating clinical relevance and statistical significance in the assessment of quality of care – illustrated using the Swedish stroke register” PLoS ONE, 11(4): 1-13.