Time to Hysterectomy After Transcervical Resection of the Endometrium Based on Age: A Retrospective Cohort Review.

STUDY OBJECTIVE: To determine the rate of hysterectomy over time after transcervical resection of the endometrium (TCRE) based on age. DESIGN: Retrospective audit. SETTING: A single gynecology clinic in regional Victoria, Australia. PATIENTS: A total of 1078 patients who had undergone TCRE for abnormal uterine bleeding. INTERVENTIONS: The likelihood of hysterectomy was compared across age groups using the chi-square test. Time to hysterectomy was summarized as a median with the 25th and 75th percentiles and compared across age groups using the Kaplan-Meier plot (log-rank test) and Cox proportional hazards regression. MEASUREMENTS AND MAIN RESULTS: The overall rate of hysterectomy was 24.2% (261 of 1078, 95% confidence interval [CI] 21.7-26.9). When age was categorized into <40 years, 40 to 44 years, 45 to 49 years, and >50 years, the rate of hysterectomy after TCRE was 32.3% (70 of 217), 29.5% (93 of 315), 19.6% (73 of 372), and 14.4% (25 of 174), respectively (p <.001). The likelihood of hysterectomy at any time point after TCRE among those aged 45 to 49 years and older than 50 years was 43% and 59% lower, respectively, than patients under 40 years (hazard ratio, 0.57; 95% CI, 0.41-0.80, and hazard ratio, 0.41; 95% CI, 0.26-0.65, respectively). The median time to hysterectomy was 1.68 years (25th to 75th percentiles, 0.77-3.76). CONCLUSION: This study demonstrated that patients who underwent a TCRE before the age of 45 years had a higher chance of having a hysterectomy than patients older than 45 years. This information will enable clinicians to inform patients of their chance of undergoing a hysterectomy at any time after TCRE.

The kindness COVID-19 toolkit: a mixed-methods evaluation of a programme designed by doctors in training for doctors in training.

OBJECTIVES: The impact of a coronavirus disease (COVID-19)-specific professional development programme on the well-being of obstetrics and gynaecology (O&G) doctors in training (DiT) working during the pandemic. DESIGN: A mixed-method evaluation of a single group pre-post test design study. SETTING: Melbourne, Australia between September 2020 and April 2021. PARTICIPANTS: 55 O&G DiT working across four healthcare sites of a major tertiary hospital in Victoria, Australia, were included in the programme. INTERVENTIONS: The delivery of a codesigned peer-to-peer programme, which identified and addressed the well-being goals of O&G DiT. Seven interactive workshops were run alongside the implementation of a number of participant-led wellness initiatives. MAIN OUTCOME MEASURES: Repeated-measures analysis of WHO Well-being Index (WHO-5) and Copenhagen Burnout Innovatory (CBI) scores across three time points during the programme. Multilevel generalised linear mixed-effects models with random intercept were fit to the data, both in the entire population (intention-to-treat) and restricted to those who attended the workshop ('per-protocol' analysis). Participatory experiences and programme learning were captured using the Most Significant Change (MSC) technique, which included inductive thematic analysis. RESULTS: We demonstrated an overall 31.9% improvement in well-being scores (p=0.006). The MSC evaluation captured a shift in workplace culture as a result of the programme, with improvement across the domains of connection, caring, communication, confidence and cooperation. CONCLUSIONS: We have successfully used a mixed-method approach to contextualise a productive programme to improve the well-being of COVID-19 front-line healthcare workers.

Trends in obesity and impact on obstetric outcomes in a regional hospital in Victoria, Australia.

AIMS: Obesity-related complications have been identified across the entire childbearing journey. This study investigated changes in obesity prevalence and their impact on obstetric outcomes in a regional hospital in Victoria, Australia. METHODS: All women delivering during 1 January 2010 and 31 December 2016 were eligible to participate. Trends over time and outcomes were assessed on body mass indices (BMI). Incidences of complications were compared by BMI categories. The effect of obesity on hospital length of stay (LoS) was further assessed using the Generalised Estimating Equations approach. RESULTS: During the study period a total of 6661 women of whom 27.5% were overweight, and 16.1, 7.7, and 5.5% were respectively obese class I, class II, and class III, contributed to 8838 births. An increased trend over time in the prevalence of obesity (BMI > 35.0) (P = 0.041) and a decreased trend for vaginal deliveries for the whole sample (P = 0.003) were found. Multiple adverse outcomes were associated with increasing maternal BMI including increased risk of gestational diabetes, gestational hypertension, preeclampsia, emergency caesarean section, shoulder dystocia, macrosomia, and admission to special care. The multivariable analysis showed no associations between LoS and BMI. CONCLUSIONS: Over a short period of seven years, this study provides evidence of a significant trend toward more obesity and fewer vaginal births in a non-urban childbearing population, with increasing trends of poorer health outcomes. Assessing needs and risk factors tailored to this population is crucial to ensuring a model of care that safeguards a sustainable and effective regional maternity health service.