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1.
Int J Gynaecol Obstet ; 158(2): 308-317, 2022 Aug.
Article in English | MEDLINE | ID: mdl-34674257

ABSTRACT

OBJECTIVE: To identify predictors of same-day discharge after benign minimally invasive hysterectomy. METHODS: In this retrospective cohort study, we identified women (n = 1084) undergoing benign minimally invasive hysterectomy from 2009 to 2016. Multivariate logistic regression was used to examine demographic, operative, and surgeon factors associated with discharge on postoperative day 0. RESULTS: In our study population, 238 women (22%) were discharged on the same day. Robotic hysterectomy (risk ratio [RR] 2.24; 95% confidence interval [CI] 1.13-4.44), shorter operative time (lowest quartile; RR 5.28; 95% CI 2.66-10.46), and minimal blood loss (lowest quartile; RR 3.01; 95% CI 1.68-6.23) were associated with higher same-day discharge likelihood whereas later procedure start time (2-5 pm; RR 0.38; 95% CI 0.17-0.85) and postoperative complications (RR 0.19; 95% CI 0.06-0.55) significantly decreased its likelihood. The strongest predictor was surgeon's number of years in practice, with recently graduated surgeons more likely to discharge their patients on the same day (RR 3.15; 95% CI 2.09-4.77). CONCLUSION: Same-day discharge after minimally invasive hysterectomy is determined by several patient, operative, and surgeon factors that can be incorporated into an implementation plan to promote earlier discharge. Most especially, scheduling patients based on perceived case complexity and targeted surgeon education can qualify a larger cohort for same-day discharge.


Subject(s)
Hysterectomy/methods , Laparoscopy , Patient Discharge/statistics & numerical data , Robotic Surgical Procedures , Cohort Studies , Female , Humans , Hysterectomy/adverse effects , Laparoscopy/methods , Minimally Invasive Surgical Procedures/adverse effects , Postoperative Complications/epidemiology , Retrospective Studies , Robotic Surgical Procedures/adverse effects , Robotic Surgical Procedures/methods , Robotic Surgical Procedures/statistics & numerical data , Time Factors
2.
J Gynecol Obstet Hum Reprod ; 50(2): 101936, 2021 Feb.
Article in English | MEDLINE | ID: mdl-33039600

ABSTRACT

INTRODUCTION: Hysterectomy is a commonly performed procedure with widely variable costs. As gynecologists divert from invasive to minimally invasive approaches, many factors come into play in determining hysterectomy cost and efforts should be sought to minimize it. Our objective was to identify the predictors of hysterectomy cost. MATERIALS AND METHODS: This was a retrospective cohort study where women who underwent hysterectomy for benign conditions at the University of Texas Medical Branch from 2009 to 2016 were identified. We obtained and analyzed demographic, operative, and financial data from electronic medical records and the hospital finance department. RESULTS: We identified 1,847 women. Open hysterectomy was the most frequently practiced (35.8 %), followed by vaginal (23.7 %), laparoscopic (23.6 %), and robotic (16.9 %) approaches. Multivariate regression demonstrated that hysterectomy charges can be significantly predicted from surgical approach, patient's age, operating room (OR) time, length of stay (LOS), estimated blood loss, insurance type, fiscal year, and concomitant procedures. Charges increased by $3,723.57 for each day increase in LOS (P <0.001), by $76.02 for each minute increase in OR time (P <0.001), and by $48.21 for each one-year increase in age (P 0.037). Adjusting for LOS and OR time remarkably decreased the cost of open and robotic hysterectomy, respectively when compared with the vaginal approach. CONCLUSION: Multiple demographic and operative factors can predict the cost of hysterectomy. Healthcare providers, including gynecologists, are required to pursue additional roles in proper resource management and be acquainted with the cost drivers of therapeutic interventions. Future efforts and policies should target modifiable factors to minimize cost and promote value-based practices.


Subject(s)
Hysterectomy/economics , Blood Loss, Surgical , Cohort Studies , Female , Humans , Insurance, Health/economics , Laparoscopy/economics , Length of Stay/economics , Middle Aged , Operative Time , Retrospective Studies , Robotic Surgical Procedures/economics , Texas
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