Defining Potentially Preventable Adverse Outcomes in Medicare Elective Lung Resections

Area of Science:

• Healthcare Management
• Surgical Outcomes Research
• Health Services Research

Background:

• Comparing hospital performance is crucial for identifying variations in care quality.
• Lung resection surgery presents complex challenges and potential for adverse outcomes (OAs).
• Existing methods may not adequately account for patient-specific risk factors in performance comparisons.

Purpose of the Study:

• To develop and apply risk-adjusted models for comparing hospital performance in lung resections.
• To identify potentially preventable adverse outcomes (OAs) in Medicare lung resection patients.
• To establish a framework for evaluating hospital-specific performance based on patient risk profiles.

Main Methods:

• Utilized Medicare Limited Data Set (2010-2012) for lung resection patients.
• Developed predictive risk models for inpatient deaths, prolonged length-of-stay, 90-day postdischarge deaths, and 90-day readmissions.
• Calculated hospital-specific z scores based on observed vs. predicted adverse events, adjusted for patient risk.

Main Results:

• Analyzed 39,405 lung resections across 739 hospitals.
• Identified significant variations in adverse outcome rates, with top deciles at 14.3% and poorest at 41.0%.
• Found 26 hospitals performing significantly better and 34 significantly poorer than predicted based on risk-adjusted models.

Conclusions:

• Risk-adjusted outcome comparisons reveal substantial opportunities for care improvement in lung resections.
• Identifying specific risk factors associated with adverse outcomes and readmissions guides targeted care redesign.
• This approach provides a data-driven method for enhancing patient safety and optimizing surgical care quality.