Did the COVID-19 pandemic affect mental health, training progression, and fertility planning of obstetrics and gynecology trainees? A survey of London trainees.

PURPOSE OF STUDY: To assess impact of COVID-19 pandemic on mental wellbeing, workload, training progression, and fertility planning among London Obstetrics and Gynecology trainees. DESIGN: An anonymous survey comprising 41 peer-validated questions was sent to London trainees. Anxiety and depression were screened using Generalized Anxiety Disorder Questionnaire 7 (GAD 7) and Patient Health Questionnaire-9 (PHQ-9). RESULTS: One hundred and seventy-seven trainees completed the questionnaire, of whom 54% were aged 25-34 years, 43% were senior trainees (ST6-7), and 51% classified themselves as Black, Asian, and Minority Asian (BAME). Although the percentage of respondents with "moderate"/"severe" GAD 7 and PHQ-9 scores was two to three times that of UK population estimates, median GAD 7 and PHQ-9 scores were 7 and 6 ("mild"). Sixteen percent deferred their fertility plans and 26% of ST6-7 trainees changed their Advanced Training Skills Modules. Other issues raised ranged from lack of assistance with electronic portfolio, postponement of examinations, poor senior input for mental health, lack of debriefing for redeployed trainees and requests for deferment of annual reviews. CONCLUSIONS: The pandemic has incurred an impact on mental health, training progression, and fertility planning of London trainees. With recommencement of nonemergency consultations and elective gynecology theater, alongside Royal College of Obstetricians and Gynecologists' Recovery Blueprint to optimize learning opportunities, there is optimism that these challenges can be overcome. Trainers and trainees need to safeguard training opportunities and consider innovative forms of future learning, while anticipating potential effects of subsequent waves.

Artificial Intelligence in Obstetrics and Gynaecology: Is This the Way Forward?

An increasing trend in funding towards artificial intelligence (AI) research in medicine has re-animated huge expectations for future applications. Obstetrics and gynaecology remain highly litigious specialities, accounting for a large proportion of indemnity payments due to poor outcomes. Several challenges have to be faced in order to improve current clinical practice in both obstetrics and gynaecology. For instance, a complete understanding of fetal physiology and establishing accurately predictive antepartum and intrapartum monitoring are yet to be achieved. In gynaecology, the complexity of molecular biology results in a lack of understanding of gynaecological cancer, which also contributes to poor outcomes. In this review, we aim to describe some important applications of AI in obstetrics and gynaecology. We also discuss whether AI can lead to a deeper understanding of pathophysiological concepts in obstetrics and gynaecology, allowing delineation of some grey zones, leading to improved healthcare provision. We conclude that AI can be used as a promising tool in obstetrics and gynaecology, as an approach to resolve several longstanding challenges; AI may also be a means to augment knowledge and assist clinicians in decision-making in a variety of areas in obstetrics and gynaecology.