Cost analysis of abdominal, laparoscopic, and robotic-assisted myomectomies.

Journal Article (Journal Article)

STUDY OBJECTIVE: To perform a cost-minimization analysis of abdominal, traditional laparoscopic and robotic-assisted myomectomy. DESIGN: Cost analysis (Canadian Task Force Classification III). SETTING: Academic medical center. PATIENTS: Women undergoing myomectomy by various surgical approaches. INTERVENTIONS: We developed a decision model to compare the costs ($2009) of different approaches to myomectomy from a healthcare system perspective. The model included operative time, conversion risk, transfusion risk, and length of stay (LOS) for each modality. Baseline estimates and ranges were based on reported values extracted from existing literature. We analyzed two different models: #1) Existing Robot model and #2) Robot Purchase model. MEASUREMENTS AND MAIN RESULTS: In the baseline analysis for the Existing Robot model, abdominal myomectomy (AM) was the least expensive at $4937 compared with laparoscopic myomectomy (LM) at $6219 and robotic-assisted laparoscopic myomectomy (RM) at $7299. The abdominal route remained the least expensive when varying all parameters and costs except for two cases in which LM became least expensive: 1) If AM length of stay was greater than 4.6 days, and 2) If the surgeon's fee for AM was greater than $2410. When comparing LM to RM, the cost of RM was consistently higher unless the robotic disposable equipment costs were less than $1400. In the Robot Purchase model, only the RM costs increased while AM and LM costs remained the same. CONCLUSION: In this cost-minimization analysis, abdominal myomectomy is the least expensive approach when compared to laparoscopy and robotic-assisted laparoscopy.

Full Text

Duke Authors

Cited Authors

  • Behera, MA; Likes, CE; Judd, JP; Barnett, JC; Havrilesky, LJ; Wu, JM

Published Date

  • January 2012

Published In

Volume / Issue

  • 19 / 1

Start / End Page

  • 52 - 57

PubMed ID

  • 22100443

Electronic International Standard Serial Number (EISSN)

  • 1553-4669

Digital Object Identifier (DOI)

  • 10.1016/j.jmig.2011.09.007


  • eng

Conference Location

  • United States