Student-led approaches to mental health support.

Mental health issues amongst university students are rife. Increasing mental health literacy and an emphasis on wellbeing have revealed the importance of having a plethora of resources available to students surrounding mental health support. The Welfare Hub is a student-led project created at the University of Nottingham Medical School to destigmatise mental health discussion, enhance mental health education, and share experiences of healthcare professionals regarding their mental health and university support. In this paper, we incorporate discussion around improvements the Welfare Hub can make regarding its content and how to best support future students. This project identified that the Welfare Hub's Instagram account was closely associated with mental health awareness and education, and that the best performing posts were those that offered positive connotations of support relevant to medical students and those that detailed lived medical student's experiences and advice. The Welfare Hub has had a positive impact on committee members and allowed them to fulfil their desires regarding destigmatising and discussing mental health. Future development following these findings aim to produce more educational and supportive content, develop connections of the Welfare Hub within the University and other institutions, and host events for the well-being of medical students.

Recruitment of pregnant women to randomised trials of COVID 19 treatments, and pharmaceutical treatments received outside such trials: A research article.

OBJECTIVES: To document how many pregnant women with COVID-19 reported in the literature had participated in randomised trials, what treatments they received outside such trials and compare the latter with evidence-based treatment recommendations. STUDY DESIGN: A systematic review of observational studies. METHODS: Two clinical trial registries were searched to identify COVID-19 trials open to pregnant women. Studies were then extracted from a regularly updated list of scientific case reports and case series of confirmed or suspected maternal COVID-19 in pregnancy to identify the number of women enrolled into a trial and the pharmaceutical treatments they received outside such trials. RESULTS: 156 studies (case reports, case series and registries) reporting 43,185 pregnant women with COVID-19, after de-duplication. Of these 2,671 (6.2%) were potentially eligible for a randomised trial but only seven women (0.26%) were reported to have enrolled. For 2,839 women the papers included information on treatment received, 1515/2829 (54%) women had received ≥ 1 treatment and in total a COVID-19 pharmaceutical treatment was administered 1,296 times outside of a trial. In 566 (44%) cases the treatments administered to the pregnant women were not recommended by the National Institutes of Health (NIH) at the time of administration. Of 179 case reports of women with COVID 19 in pregnancy, 109/179 women received ≥ 1 COVID-19 pharmaceutical treatment and in total COVID-19 experimental pharmaceutical treatments were administered 274 times. CONCLUSION: During the early phase of the COVID-19 pandemic, pregnant women excluded from randomised trials did not avoid unproven or ineffective treatments.

COVID-19 and pregnancy: A comparison of case reports, case series and registry studies.

BACKGROUND: Selection, outcome and publication biases are well described in case reports and case series but may be less of a problem early in the appearance of a new disease when all cases might appear to be worth publishing. OBJECTIVE: To use a prospectively collected database of primary sources to compare the reporting of COVID-19 in pregnancy in case reports, case series and in registries over the first 8 months of the pandemic. STUDY DESIGN: MEDLINE, Embase and Maternity and Infant Care databases were searched from 22 March to 5 November 2020, to create a curated list of primary sources. Duplicate reports were excluded. Case reports, case series and registry studies of pregnant women with confirmed COVID-19, where neonatal outcomes were reported, were selected and data extracted on neonatal infection status, neonatal death, neonatal intensive care unit admission, preterm birth, stillbirth, maternal critical care unit admission and maternal death. RESULTS: 149 studies comprising 41,658 mothers and 8,854 neonates were included. All complications were more common in case reports, and in retrospective series compared with presumably prospective registry studies. Extensive overlap is likely in registry studies, with cases from seven countries reported by multiple registries. The UK Obstetric Surveillance System was the only registry to explicitly report identification and removal of duplicate cases, although five other registries reported collection of patient identifiable data which would facilitate identification of duplicates. CONCLUSIONS: Since it is likely that registries provide the least biased estimates, the higher rates seen in the other two study designs are probably due to selection or publication bias. However even some registry studies include self- or doctor-reported cases, so might be biased, and we could not completely exclude overlap of cases in some registries.