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Understanding your Potentially Preventable Readmissions (PPR) Reports

This presentation by Mickey Reid, Patient Safety and Quality Manager, delves into the concept of Potentially Preventable Readmissions (PPR) and its implications for hospitals. It covers data sources, strategies for condensing spreadsheets, and methods for identifying patient populations based on Diagnosis-Related Groups (DRG). Key topics include understanding patient claims data, exclusions from PPR, and distinguishing between preventable and non-preventable readmissions. Effective tools and next steps will be shared to help healthcare professionals leverage PPR data for better patient care.

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Understanding your Potentially Preventable Readmissions (PPR) Reports

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Presentation Transcript

  1. Understanding your Potentially Preventable Readmissions (PPR) Reports Minnesota Hospital Association Mickey Reid, Patient Safety and Quality Manager December 7, 2012

  2. Today’s Agenda Objectives: • PPR data source • Condense your PPR spreadsheet into usable data • Learn how to filter column data • Understand how to identify patient population based on the DRG

  3. PPR Data Source • Patient Claims Data which includes: • Diagnosis • Procedure Codes • Demographic Information • Discharge status

  4. PPR Global Exclusions • Admissions for which follow-up care is intrinsically extensive and complex • Major or metastatic malignancies treated medically • Multiple trauma, burns • Discharge status indicates limited hospital & provider control • Left against medical advice • Transferred to another acute care hospital • Neonates • Other exclusions • Specific eye procedures and infections • Cystic fibrosis with pulmonary diagnoses • Obstetrics • Transplants • Planned Readmission • Died – not included as candidate initial admissions (denominator)

  5. Examples of a readmission which is not potentially preventable • No clinical relationship to prior discharge • Cholecystectomy two weeks after hip replacement • Discharge status of prior discharge • AMA and transferred to another acute care hospital • Type of prior discharge • Follow-up care is intrinsically complex and extensive • Metastatic malignancies, Multiple trauma, Burns • Longer interval between discharge and readmission • Long time intervals (>30 days) reduce confidence that readmission is causally linked to the prior discharge

  6. PPR Data Review • Step by step instructions to make PPR data more useable in understanding your readmissions. • MHA Communication • MHA portal • Spreadsheet Tips

  7. Next Steps • Sign on to MHA portal • If you do not have your username/password, please email Bonnie Terveer at bterveer@mnhospitals.org • Down load your most recent PPR data from the MHA secure portal • Begin to filter your spreadsheet making it more manageable to review using the instructions we followed in the presentation • If you need additional assistance in filtering your data or you would like to set up an individual discussion regarding your data please contact kolson@mnhospital.org

  8. Watch for 2013 future webinars… • To suggest future topics for this series, Reducing Avoidable Readmissions Effectively “RARE” Networking Webinars, contact Kathy Cummings, kcummings@icsi.org

  9. Questions ?

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