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.