Benchmarking survival outcomes: A funnel plot for survival data.
Hein PutterDirk-Jan EikemaLiesbeth C de WreedeEoin McGrathIsabel Sánchez-OrtegaRiccardo SaccardiJohn A SnowdenErik W van ZwetPublished in: Statistical methods in medical research (2022)
Benchmarking is commonly used in many healthcare settings to monitor clinical performance, with the aim of increasing cost-effectiveness and safe care of patients. The funnel plot is a popular tool in visualizing the performance of a healthcare center in relation to other centers and to a target, taking into account statistical uncertainty. In this paper, we develop a methodology for constructing funnel plots for survival data. The method takes into account censoring and can deal with differences in censoring distributions across centers. Practical issues in implementing the methodology are discussed, particularly in the setting of benchmarking clinical outcomes for hematopoietic stem cell transplantation. A simulation study is performed to assess the performance of the funnel plots under several scenarios. Our methodology is illustrated using data from the European Society for Blood and Marrow Transplantation benchmarking project.
Keyphrases
- healthcare
- electronic health record
- quality improvement
- big data
- end stage renal disease
- newly diagnosed
- ejection fraction
- climate change
- acute myeloid leukemia
- stem cells
- peritoneal dialysis
- data analysis
- machine learning
- mesenchymal stem cells
- deep learning
- social media
- chronic pain
- patient reported
- health insurance