Hospital length of stay (LOS) is a key indicator of hospital efficiency and quality of care, but a reliable metric for benchmarking LOS remains problematic. This report describes a time-to-event methodology to generate a hospital standardised LOS ratio (HSLR).

Retrospective observational analysis of LOS from a jurisdictional administrative dataset using a time-to-event (hazard of discharge) analytic approach to generate risk-adjusted LOS (predicted LOS—pLOS), and the HSLR (= (sum observed LOS)/(sum total pLOS)).

219 (public and private) acute-care hospitals in the State of Victoria, Australia, adult population 5.28 million.

2.73 million adult multiday separations and 15.53 million bed-days from July 2019 to June 2024.

Nil.

Descriptive statistics for annual mean LOS (aLOS), pLOS and HSLR at the hospital level with model fit assessed for calibration (Cox-Snell residuals), classification (aLOS and HSLR results for hospital-years compared to benchmark), variance (intraclass correlation coefficient (ICC) at provider level) and model dispersion (value () and random effect SD ()) characteristics.

Observed LOS was markedly right skewed and autocorrelated (p3 SD of benchmark); whereas 936 (99.5%) HSLR values were inliers (

aLOS is a simple descriptor but poor comparator. Time-to-event survival analytic models furnish risk-adjusted pLOS and HSLR metrics which indicate that the majority of LOS variation is due to patient-related, not hospital, factors.

Endometriosis affects 5–10% of women during reproductive years, with a 20–30% incidence among those with infertility. Deep infiltrating endometriosis (DIE) affects 10–15% of women of childbearing age and 50% of infertile women. When hormonal therapy and conservative surgery prove ineffective, total hysterectomy with or without bilateral salpingo-oophorectomy may be the ultimate therapeutic option. Laparoscopic surgery is the gold standard for treating endometriosis, offering effective disease eradication, safety, reduced pain, shorter hospital stay and faster recovery compared with laparotomy. However, patients undergoing total laparoscopic hysterectomy with DIE have higher risks of complications and organ damage, particularly urinary tract damage. Robot-assisted laparoscopic hysterectomy has emerged as a promising alternative, with a significantly lower conversion rate than total laparoscopic hysterectomy in patients with endometriosis. This study evaluates the safety and efficacy of robot-assisted total laparoscopic hysterectomy (RATLH) versus total laparoscopic hysterectomy (TLH) in the management of DIE. We hypothesise that robot-assisted laparoscopic hysterectomy will result in fewer complications and better outcomes compared with total laparoscopic hysterectomy in DIE patients.

The ENDORAS trial is a prospective, multicentre, open-label, randomised controlled trial conducted in French reference hospitals specialising in endometriosis surgery. A total of 224 adult women patients will be enrolled in this study if they have DIE with adenomyosis, and without digestive tract involvement as confirmed by MRI. Participants will be randomised to undergo either RATLH or TLH. The primary outcome will be the intraoperative and postoperative complication rates, classified according to the Clavien-Dindo classification (grade 2 or above) at the 3-month postoperative follow-up. Among the secondary outcomes, we will evaluate the quality of life using various questionnaires, including the Endometriosis Health Profile-30, the Short Form-306 and the Female Sexual Function Index.

The ENDORAS trial will be conducted in accordance with the International Council on Harmonization Good Clinical Practice guidelines. All trial documents and procedures have been reviewed and approved by the Ethics Committee Ile de France II (approval ID number: 24.01408.000300). Informed consent will be obtained during the preoperative check-up by the operating gynaecologist. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media, broadcast media, print media and the internet.

NCT06445179. Registered on 14 November 2024.