WMQI,PIP WORKSHOP Dr Yomi-Adeleke December 15
“We can only be sure to improve what we can actually measure” WMQI ANALYTICAL SUPPORT FOR PIP Broadly divided into 3 Areas I. Neonatology II. Paediatric Medicine III. Paediatric Surgery Metrics are clinically led and research driven Focuses on best practice December 15
“We can only be sure to improve what we can actually measure” Neonatology Badger dataset is used to create metrics Currently have access to data for 4 trusts Currently working on Discharged home on oxygen NEC with surgery ROP with surgery Working on combining badger data with other mainstream dataset to improve pathway analyses December 15
“We can only be sure to improve what we can actually measure” Neonatology Draft Output December 15
“We can only be sure to improve what we can actually measure” Paediatric Medicine Hospital episode statistics HES is the primary data source Metric creation is along the sub specialties and over arching themes Current work includes Epilepsy Diabetes Lower Respiratory Tract Infections Asthma metric Unplanned re-attendance at A&E DNA rates in outpatients December 15
“We can only be sure to improve what we can actually measure” Paediatric Medicine Draft Output ( Unplanned Re-attendances ) December 15
“We can only be sure to improve what we can actually measure” Paediatric Medicine Draft Output ( DNA Rates) December 15
“We can only be sure to improve what we can actually measure” Paediatric Medicine Draft Output (Asthma Emergency Admission rates) December 15
“We can only be sure to improve what we can actually measure” Paediatric Medicine Draft Output (Asthma Emergency Admission rates/1000 admissions) December 15
“We can only be sure to improve what we can actually measure” Paediatric Medicine Draft Output (Readmission rates) December 15