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Updated: Apr 30, 2026

Subcostal Specimen Removal in Completely Portal Robotic Lobectomy
Published on: April 19, 2024
Video-assisted thoracic surgery lobectomy cost variability: implications for a bundled payment era
Rachel L Medbery1, Sebastian D Perez2, Seth D Force1
1Section of General Thoracic Surgery, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia.
Surgeons can reduce costs for video-assisted thoracic surgery (VATS) lobectomy by identifying patients at risk. Factors like COPD, heart disease, and postoperative complications significantly impact overall hospital expenses.
Area of Science:
- Thoracic Surgery
- Health Economics
- Healthcare Management
Background:
- The Centers for Medicare and Medicaid Services initiated bundled payments in 2013.
- Predicting patient risk for costly care is essential for bundled payment models.
- This study identifies factors influencing hospital costs after video-assisted thoracic surgery (VATS) lobectomy for lung cancer.
Purpose of the Study:
- To identify key factors driving cost variability in VATS lobectomy for lung cancer.
- To inform surgeons and healthcare systems for better resource allocation and quality improvement.
Main Methods:
- Retrospective review of 149 VATS lobectomies for lung cancer (2010-2011).
- Linking clinical outcomes data with hospital financial data.
- Linear regression models to assess the impact of preoperative and perioperative factors on cost.
Main Results:
- The average hospital cost per patient was $18,637.81.
- Patients with chronic obstructive pulmonary disease (COPD) and coronary artery disease (CAD) showed increased costs.
- Postoperative urinary tract infections and blood transfusions were significantly associated with cost variability.
Conclusions:
- Patient-specific and clinical variables significantly drive cost variability in VATS lobectomy.
- Awareness of these factors enables targeted quality improvement and resource management.
- Risk-adjusted financial data is crucial for developing effective payment models and enhancing healthcare value.
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