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Training Cardiothoracic Residents in Robotic Lobectomy Is Cost-Effective With No Change in Clinical Outcomes.
- Source :
-
Innovations (Philadelphia, Pa.) [Innovations (Phila)] 2022 Mar-Apr; Vol. 17 (2), pp. 127-135. Date of Electronic Publication: 2022 Mar 28. - Publication Year :
- 2022
-
Abstract
- Objective: Our objective was to evaluate for any changes in quality or cost when robotic lung resection is used with significant trainee participation. Methods: All anatomic lung resections between January 2006 and June 2016 were identified from a prospectively maintained database. Clinical data were recorded by double entry. Cost and cancer-related data were gathered from the business analytics department and tumor registry. Robotic outcomes were compared to an ongoing thoracotomy and video-assisted thoracic surgery (VATS) experience. Propensity scores using age, sex, and comorbidities were assigned for statistical analysis. Survival was evaluated using the Kaplan-Meier method. Results: Of 523 consecutive cases, 483 were included (211 robotic, 210 thoracotomy, 62 VATS). There were 74 robotic cases (35%) performed by trainees as the console surgeon. Length of stay was shortest for robotics (3 days) compared to thoracotomy (7 days, P < 0.001) and VATS (5 days, P = 0.010). Complications occurred in 33% of robotic cases, 42% of VATS cases ( P = 0.854), and 52% of thoracotomy cases ( P < 0.001). Stage I non-small cell lung cancer 3-year overall survival for robotics, thoracotomy, and VATS was 79.5%, 74.3%, and 74.0%, respectively ( P > 0.25). There was no significant difference in negative margin rates. Total cost related to the hospitalization for surgery was $5,721 less for robotics compared to thoracotomy ( P = 0.003) but comparable to VATS. Trainees served as console surgeon in 0% of cases in the first 2 years of robotics but increased to 79% in the last year of the study. Conclusions: Robotic lung resection can be safely performed and taught in an academic medical center without sacrificing quality or cost.
Details
- Language :
- English
- ISSN :
- 1559-0879
- Volume :
- 17
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Innovations (Philadelphia, Pa.)
- Publication Type :
- Academic Journal
- Accession number :
- 35341368
- Full Text :
- https://doi.org/10.1177/15569845221086278