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Erschienen in: Journal of Robotic Surgery 2/2020

05.06.2019 | Original Article

Direct cost of hysterectomy: comparison of robotic versus other routes

verfasst von: Bilal Kaaki, Emma Lewis, Sukruta Takallapally, Benjamin Cleveland

Erschienen in: Journal of Robotic Surgery | Ausgabe 2/2020

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Abstract

The aim of this study was to investigate the direct cost of robotic hysterectomy in comparison with abdominal, vaginal, and laparoscopic routes past the initial learning curve. We examined a consecutive case series of 348 patients undergoing abdominal (AH), vaginal (VH), laparoscopic (LH), or robotic hysterectomy (RH) for benign conditions between January 2015 and March 2017. The primary outcome was the direct cost of hysterectomy, while the secondary outcome was length of stay. Multiple linear regression was used to examine the cost and length of stay across the four hysterectomy groups after controlling for potential confounding variables. 19 (5.5%) patients underwent AH, 53 (15.2%) LH, and 59 (16.9%) VH, while 217 (62.4%) RH. VH group was the oldest at age 52.1 years (p < 0.01), whereas AH group had the highest BMI at 35.9 kg/m2 (p = 0.03). While colporrhaphy was most frequently performed in VH (81%), mid-urethral sling was most common in RH (30%) (p < 0.01). The average direct cost was $3865 for RH, $4063 for AH, $2791 for VH, and $3818 for LH. Upon multivariate analysis, RH and VH were $650.47 (p < 0.01) and $883.07 (p < 0.01) cheaper, respectively, compared to AH. The average length of stay was the shortest for RH at 10.7 h, followed by LH at 15.5 h, vaginal at 20 h, and abdominal at 51.5 h (p < 0.01). VH has the lowest direct cost, while AH has the highest. Both VH and RH have a significantly lower cost than that of AH. RH has the shortest hospital stay, whereas AH has the longest.
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Metadaten
Titel
Direct cost of hysterectomy: comparison of robotic versus other routes
verfasst von
Bilal Kaaki
Emma Lewis
Sukruta Takallapally
Benjamin Cleveland
Publikationsdatum
05.06.2019
Verlag
Springer London
Erschienen in
Journal of Robotic Surgery / Ausgabe 2/2020
Print ISSN: 1863-2483
Elektronische ISSN: 1863-2491
DOI
https://doi.org/10.1007/s11701-019-00982-7

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