The importance of non-technical skills in robot-assisted surgery in gynaecology.

Robot-assisted surgery (RAS) in gynaecology has undergone exponential growth in recent decades, with utility in treating both benign and malignant gynaecological conditions. The technological complexities and amended theatre dynamics that RAS demands mean that effective non-technical skills (NTS) are vitally important to overcome these unique challenges. However, NTS have been neglected in RAS-training programmes with focus placed instead on the exclusive acquisition of technical skills (TS). NTS include teamwork, communication, leadership, situational awareness, decision-making and stress management. Communication is the most frequently cited NTS impacted during RAS, as the physical limitations imposed by the robotic hardware make communication exchange difficult. The full immersion that RAS enables can contribute to situational awareness deficits. However, RAS can complement communication and teamwork when multidisciplinary (MDT) surgeries (such as complex endometriosis excisions) are undertaken; dual-console capabilities facilitate the involvement of specialties such as general surgery and urology. The development of NTS in RAS cannot be achieved with in-situ experience alone, and current training is poorly standardised. RAS-training programmes and curricula for gynaecology do exist, however the integration of NTS remain limited. Simulation is a viable tool to facilitate enhanced-NTS integration, yet cost implications form a barrier to its wider implementation. However, given that RAS will continue to occupy a greater proportion of the gynaecological caseload, integration of NTS within gynaecological RAS training curricula is necessary. Patients undergoing gynaecological RAS would benefit from the improved safety standards and enhanced surgical outcomes that would result.

Fetal umbilical artery Doppler as a tool for universal third trimester screening: A systematic review and meta-analysis of diagnostic test accuracy.

The objective of this study was to investigate the accuracy of universal third trimester umbilical artery (UA) Doppler to predict adverse pregnancy outcome at term. We searched Medline, EMBASE, the Cochrane library and ClinicalTrials.gov from inception to October 2020 and we also analyzed previously unpublished data from a prospective cohort study of nulliparous women, the Pregnancy Outcome Prediction (POP) study. We included studies that performed a third-trimester ultrasound scan in unselected, low or mixed risk populations, excluding studies which only included high risk pregnancies. Meta-analysis was performed using the hierarchal summary receiver operating characteristic curve (HSROC) analysis and bivariate logit-normal models. We identified 13 studies (including the POP study) involving 67,764 pregnancies which met our inclusion criteria. The overall quality was variable and only six studies (N = 5777 patients) blinded clinicians to the UA Doppler result. The summary sensitivity and positive likelihood ratio (LR) for small for gestational age (SGA; birthweight <10th centile) were 21.7% (95% CI 13.2-33.6%) and 2.65 (95% CI 1.89-3.72) respectively. The summary positive LR for NICU admission and metabolic acidosis were 1.35 (95% CI 0.93-1.97) and 1.34 (95% CI 0.86-2.08) respectively. The results were similar in the POP study: associations with SGA (positive LR 2.66 [95% CI 2.11-3.36]) and severe SGA (birthweight <3rd centile; positive LR 3.27 [95% CI 2.29-4.68]) but no statistically significant association with neonatal morbidity. We conclude that third trimester UA Doppler has moderate predictive accuracy for small for gestational age but not for indicators of neonatal morbidity in unselected and low risk pregnancies.