Literature DB >> 31605110

Medico-economic impact of robot-assisted lung segmentectomy: what is the cost of the learning curve?

Constance Le Gac1, Henri Gondé2, André Gillibert3, Marc Laurent1, Jean Selim4, Benjamin Bottet5, Rémi Varin2, Jean-Marc Baste6.   

Abstract

OBJECTIVES: The objective of this study was to assess the learning curve (LC) of robot-assisted lung segmentectomy and to evaluate hospital-related costs.
METHODS: We conducted a retrospective study of Robot-assisted thoracic surgery (RATS) segmentectomies performed by 1 surgeon during 5 years. Perioperative and medical device data were collected. The LC, based on operating time, was assessed by Cumulative SUM analysis and an exponential model. Cost of care was estimated using the French National Cost Study method.
RESULTS: One hundred and two RATS segmentectomies were included. The LC was completed at ∼30 procedures according to both models without significant difference in patients' characteristics before or after the LC. Mean operative time decreased from 136 min [95% confidence intervals (CI) 124-149] for the first 30 procedures to 97 min (95% CI 88-107) for the last 30 procedures. Mean length of stay decreased non-significantly (P = 0.10 for linear trend) from 8.1 days (95% CI 6.1-11.0) to 6.2 days (95% CI 4.9-7.9). The overall costs for the last 30 procedures as compared with the first 30 did not significantly decrease in the primary economic analysis but significantly decreased (P = 0.02) by €1271 (95% CI -2688 to +108, P = 0.02 for linear trend) after exclusion of 1 outlier (hospitalization-related costs > €10 000). After exclusion of this outlier, costs related to EndoWrist® instruments significantly decreased by €-135 (95% CI -220 to -35, P = 0.004), whereas costs related to clips decreased non-significantly (P = 0.28).
CONCLUSIONS: The LC was completed at ∼30 procedures. Inexperienced surgeons may have higher procedure costs, related to consumable medical devices and operating time.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Cost-effectiveness; Learning curve; Robot; Segmentectomy; Thoracic surgery; Value

Year:  2020        PMID: 31605110     DOI: 10.1093/icvts/ivz246

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  3 in total

1.  Nurse-led coordinated surgical care pathways for cost optimization of robotic-assisted partial nephrectomy: medico-economic analysis of the UroCCR-25 AMBU-REIN study.

Authors:  Jean-Christophe Bernhard; Grégoire Robert; Solène Ricard; Julien Rogier; Cécile Degryse; Clément Michiels; Gaëlle Margue; Peggy Blanc; Eric Alezra; Vincent Estrade; Grégoire Capon; Franck Bladou; Jean-Marie Ferriere
Journal:  World J Urol       Date:  2022-06-21       Impact factor: 4.226

2.  Long-Term Survival Following Minimally Invasive Lung Cancer Surgery: Comparing Robotic-Assisted and Video-Assisted Surgery.

Authors:  François Montagne; Zied Chaari; Benjamin Bottet; Matthieu Sarsam; Frankie Mbadinga; Jean Selim; Florian Guisier; André Gillibert; Jean-Marc Baste
Journal:  Cancers (Basel)       Date:  2022-05-25       Impact factor: 6.575

3.  Midterm survival of imaging-assisted robotic lung segmentectomy for non-small-cell lung cancer.

Authors:  Zied Chaari; François Montagne; Matthieu Sarsam; Benjamin Bottet; Philippe Rinieri; Andre Gillibert; Jean Marc Baste
Journal:  Interact Cardiovasc Thorac Surg       Date:  2022-06-01
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.