Univariate analyses
We compared the four study groups regarding patients’ and surgery characteristics using Analysis of Variance (ANOVA) for continuous variables, and the Chi-square or Fisher exact tests for categorical variables.
The type of surgery was grouped into two categories: major (Hysterectomy, Myomectomy, and Endometrioma resection) and minor (Salpingectomy, Cystectomy, and Uni and Bilateral Salpingo- oophorectomy).
We compared the longitudinal outcomes (MME, Analgesic index, discrete VAS scores, and the total VAS score at each time point post-surgery) using ANOVA. Also, univariate mixed-effects linear models were conducted to estimate the univariate association between the study groups and those outcomes, using the surgeon’s identity as a random effect.
We compared categorical outcomes (prescription for analgesics in general and for opiates at each time point post-surgery) using the Chi-square test. Also, we used univariate mix effects logistic models with the surgeon’s identity as a random effect and calculated the univariate odds ratios for those outcomes.