Cost drivers for benign hysterectomy within a health care system: Influence of patient, perioperative, and hospital factors

Adoption of vaginally assisted natural orifice transluminal endoscopic surgery for hysterectomy: A single tertiary experience

BACKGROUND

Vaginal hysterectomy (VH) rate is declining despite being considered as the optimal minimally invasive option for hysterectomy with reduced operative time and length of stay compared with laparoscopic hysterectomy (LH). Vaginal assisted natural orifice transluminal endoscopic surgery hysterectomy (VANH) combines the advantages of both vaginal and endoscopic approach to surgery.

AIMS

To report feasibility and early experience of a single surgeon adopting VANH at a tertiary Australian hospital.

MATERIALS AND METHODS

Prospective review of the first 20 VANH cases with complete data set collected retrospectively including patient demographics, indication for surgery and perioperative outcomes.

RESULTS

The median age of the first 20 participants was 51.5 years (47-57 years of age) and the median body mass index was 33.5 kg/m2 (27.8-38.3 kg/m2). The predominant indication was complex hyperplasia with atypia (12/20, 60%). The median parity was two (1-3) where four patients were nulliparous. The median blood loss was 125 mL (100-200 mL) with an operative time of 149 min (138-198 min) and median weight of the specimen of 181.5 g (66.5-219 g). The mean length of stay was 1.4 days (1-2 days). Five cases had conversion to laparoscopy and the majority (80%) occurred within the first ten cases.

CONCLUSIONS

VANH is feasible but there is a learning curve to achieve competence in this technique, which requires adequate training in the early stages of adoption with careful case selection. Until further robust data is available to determine the clinical benefit and safety profile of VANH, patients should be carefully counselled and the decision on mode of hysterectomy be individualised.

Personalized Predictive Hemodynamic Management for Gynecologic Oncologic Surgery: Feasibility of Cost-Benefit Derivatives of Digital Medical Devices

BACKGROUND

Intraoperative hypotension is associated with increased perioperative complications, hospital length of stay (LOS) and healthcare expenditure in gynecologic surgery. We tested the hypothesis that the adoption of a machine learning-based warning algorithm (hypotension prediction index-HPI) might yield an economic advantage, with a reduction in adverse outcomes that outweighs the costs for its implementation as a medical device.

METHODS

A retrospective-matched cohort cost-benefit Italian study in gynecologic surgery was conducted. Sixty-six female patients treated with standard goal-directed therapy (GDT) were matched in a 2:1 ratio with thirty-three patients treated with HPI based on ASA status, diagnosis, procedure, surgical duration and age.

RESULTS

The most relevant contributor to medical costs was operating room occupation (46%), followed by hospital stay (30%) and medical devices (15%). Patients in the HPI group had EURO 300 greater outlay for medical devices without major differences in total costs (GDT 5425 (3505, 8127), HPI 5227 (4201, 7023) p = 0.697). A pre-specified subgroup analysis of 50% of patients undergoing laparotomic surgery showed similar medical device costs and total costs, with a non-significant saving of EUR 1000 in the HPI group (GDT 8005 (5961, 9679), HPI 7023 (5227, 11,438), p = 0.945). The hospital LOS and intensive care unit stay were similar in the cohorts and subgroups.

CONCLUSIONS

Implementation of HPI is associated with a scenario of cost neutrality, with possible economic advantage in high-risk settings.