Proficiency-based training and credentialing can improve patient outcomes and decrease cost to a hospital system - 14/03/19
, Jeffrey Borrebach b , Stefanie Altieri Dunn b , Johanna Bellon b , Herbert J. Zeh a , Melissa E. Hogg a, ⁎ Abstract |
Background |
While proficiency-based robotic training has been shown to enhance skill acquisition, no studies have shown that training leads to improved outcomes or quality measures.
Methods |
Board-certified general surgeons participated in an optional proficiency-based robotic training curriculum and outcomes from robotic hernia cases were analyzed. Multivariable analysis was performed for operative times to adjust for patient and surgical variables.
Results |
Six out of 16 (38%) surgeons completed training and 210 robotic hernia cases were analyzed. Longer operative times were associated with bilateral repairs (observed-to-expected operative time ratio [OTR] = 1.41, p < 0.001) and incarceration (OTR = 1.24, p = 0.006), while female patients (OTR = 0.87, p = 0.001) and increasing chronologic case order (OTR = 0.94, p < 0.001) were associated with shorter operative times. Surgeons who completed robotic training achieved shorter OTRs than those who did not (p = 0.03). Comparing non-risk adjusted hospital costs, trainees had an average of $1207 in savings (20% reduction) per robotic hernia case.
Conclusions |
A structured proficiency-based robotics training curriculum is an effective way to reduce operative times and costs.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Completing a robotics training curriculum leads to shorter operative times. |
• | Surgeons who train save costs for their hospital system. |
• | Structured simulation training reduces the learning curve for robotic surgery. |
Keywords : Robotic inguinal hernia, Simulation, Proficiency, Operative time
Abbreviations : OTR
Plan
Vol 217 - N° 4
P. 591-596 - avril 2019 Retour au numéro
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- Table of Contents
- Optimizing the integration of advanced practitioners in a department of surgery: An operational improvement model
- Laura J. Torbeck, Melissa Hockaday, Cecelia Smith, Gary Dunnington
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