Open AccessPredictors of Admission After the Implementation of an Enhanced Recovery After Surgery Pathway for Minimally Invasive Gynecologic Surgery
Author(s) -
Dayley S. Keil,
Lauren Schiff,
Erin T. Carey,
Janelle K. Moulder,
Amy M. Goetzinger,
Seema M. Patidar,
Lyla Hance,
Lavinia Kolarczyk,
Robert S. Isaak,
Paula D. Strassle,
Jay Schoenherr
Publication year - 2019
Publication title -
anesthesia and analgesia/anesthesia and analgesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.404
H-Index - 201
eISSN - 1526-7598
pISSN - 0003-2999
DOI - 10.1213/ane.0000000000003339
Subject(s) - medicine , hysterectomy , clinical pathway , body mass index , logistic regression , observational study , emergency department , population , pelvic pain , surgery , emergency medicine , nursing , environmental health , psychiatry
Enhanced recovery after surgery (ERAS) pathways in gynecologic surgery have been shown to decrease length of stay with no impact on readmission, but no study has assessed predictors of admission in this population. The purpose of this study was to identify predictors of admission after laparoscopic hysterectomy (LH) and robotic-assisted hysterectomy (RAH) performed under an ERAS pathway.