Incorporating natural variation into IVF clinic league tables

Abstract

Background: More and more league tables are being published every day to rate the performance of health boards, hospitals and surgeons. However, they do not show the magnitude of uncertainty caused by natural variation. Methods: We propose a new method to present league tables in which the ratings are easy to interpret. Instead of just giving one score, we suggest the addition of best-case scenario and worst-case scenario scores. The true performance of a clinic, accounting for natural variation, is most likely to be between the best-case scenario and the worst-case scenario for its rating. These ratings can be computed easily, without any special software. Results: We illustrate our method based on data of Dutch IVF clinics from 2004. Six (out of 13) clinics shared a 'top of the league' position when considering the best-case scenario. Conclusion: There is great uncertainty about the ratings. To show the magnitude of uncertainty, league tables should include the best-case scenario and the worst-case scenario ratings of each clinic. © 2007 Oxford University Press.