Literature DB >> 27372282

Determinants of radical cystectomy operative time.

Christopher P Filson1, Hung-Jui Tan2, Karim Chamie2, Aaron A Laviana2, Jim C Hu3.   

Abstract

OBJECTIVE: To examine factors associated with radical cystectomy operative time among Medicare beneficiaries.
MATERIAL AND METHODS: Using linked Surveillance, Epidemiology, and End Results-Medicare data, we identified 4,975 patients who underwent a radical cystectomy during 1991 to 2007. Using a validated method of using anesthesia administrative data to quantify operative time, we used generalized estimating equations to examine the association of patient, provider, and hospital factors on radical cystectomy operative time.
RESULTS: We found that mean operative time decreased by 5 minutes per year (Δ = -5.3min/y, P<0.001). Longer operative times were found in academic centers (Δ =+39.0min vs. nonacademic), continent diversion (Δ =+34.9min vs. ileal conduit), surgical excision of≥11 lymph nodes (Δ =+24.9min vs. 1-5), female (Δ =+32.3min vs. male sex), and perioperative anesthesia procedures such as placement of central venous catheters or arterial lines (Δ =+47.2min vs. no procedures), respectively (all P<0.01). In adjusted analysis, higher surgeon volume (Δ =-22.0min vs. lowest volume) was associated with shorter operative times (P = 0.002).
CONCLUSIONS: Operative times for cystectomy have been steadily decreasing annually. There is notable variation based on academic affiliation, diversion type and extent of lymphadenectomy, surgeon and hospital volumes, as well as use of anesthetic procedures. Efforts to improve operative time by selective referral to high-volume surgeons or hospitals or both, or judicious use of perioperative procedures may have a positive effect on health care costs and overall quality of care for patients undergoing radical cystectomy for bladder cancer.
Copyright © 2016. Published by Elsevier Inc.

Entities:  

Keywords:  Bladder cancer; Operative time; Radical cystectomy; SEER-Medicare

Mesh:

Year:  2016        PMID: 27372282     DOI: 10.1016/j.urolonc.2016.05.006

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  1 in total

1.  Development of a Patient-Based Model for Estimating Operative Times for Robot-Assisted Radical Prostatectomy.

Authors:  Neil B Huben; Ahmed A Hussein; Paul R May; Michelle Whittum; Collin Krasowski; Youssef E Ahmed; Zhe Jing; Hijab Khan; Hyung L Kim; Thomas Schwaab; Willie Underwood; Eric C Kauffman; James L Mohler; Khurshid A Guru
Journal:  J Endourol       Date:  2018-08       Impact factor: 2.942

  1 in total

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