Prescription Sequence Symmetry Analysis (PSSA) to assess prescribing cascades: a step-by-step guide.

Prescribing cascades occur when patients are prescribed medication to treat the adverse drug reaction of previously prescribed medication. Prescription sequence symmetry analysis (PSSA) can be used to assess the association between two medications in prescription or dispensing databases and thus the potential occurrence of prescribing cascades. In this article, a step-by-step guide is presented for conducting PSSA to assess prescribing cascades. We describe considerations for medication data collection and setting time periods for relevant parameters, including washout window, exposure window, continued exposure interval and blackout period. With two examples, we illustrate the impact of changes in these parameters on the strengths of associations observed. Given the impact seen, we recommend that researchers clearly specify and explain all considerations regarding medication included and time windows set when studying prescribing cascades with PSSA, and conduct subgroup and sensitivity analyses.

Continuing the conversation: a cross-sectional study about the effects of work-related adverse events on the mental health of Dutch (resident) obstetrician-gynaecologists (ObGyns).

BACKGROUND: Obstetrician-Gynaecologists (ObGyns) frequently face work-related adverse events such as severe obstetric complications and maternal or neonatal deaths. In 2014, the WATER-1 study showed that ObGyns are at risk of developing work-related posttraumatic stress disorder (PTSD), while many hospitals lacked a professional support system. The aim of the present study is to evaluate the current prevalence of work-related traumatic events and mental health problems among Dutch ObGyns, as well as to examine the current and desired support. METHODS: In 2022, an online questionnaire was sent to all members of the Dutch Society of Obstetrics and Gynaecology (NVOG), including resident and attending ObGyns. The survey included questions about experienced work-related events, current and desired coping strategies, and three validated screening questionnaires for anxiety, depression, and PTSD (HADS, TSQ, and PCL-5). RESULTS: The response rate was 18.8% and 343 questionnaires were included in the analysis. Of the respondents, 93.9% had experienced at least one work-related adverse event, 20.1% had faced a complaint from the national disciplinary board, and 49.4% had considered leaving the profession at any moment in their career. The prevalence rates of clinically relevant anxiety, depression, and psychological distress were 14.3, 4.4, and 15.7%, respectively. The prevalence of work-related PTSD was 0.9% according to DSM-IV and 1.2% according to DSM-5. More than half of the respondents (61.3%) reported the presence of a structured support protocol or approach in their department or hospital, and almost all respondents (92.6%) rated it as sufficient. CONCLUSIONS: The percentages of anxiety, depression, psychological distress and PTSD are comparable to the similar study performed in 2014. Most Dutch ObGyns experience adverse events at work, which can be perceived as traumatic and, in certain cases, may lead to the development of PTSD. Structured support after adverse work-related events is now available in almost two-thirds of workplaces, and was mostly experienced as good. Despite substantial improvements in the availability and satisfaction of professional support after work-related adverse events, the prevalence rates of mental problems remain considerable, and it is imperative to sustain conversation about the mental well-being of ObGyns.

Unplanned cesarean sections in advanced maternal age: A predictive model.

INTRODUCTION: As maternal age during pregnancy is rising all over the world, there is a growing need for prognostic factors that determine maternal and perinatal outcomes in older women. MATERIAL AND METHODS: This study is a retrospective cohort study of women aged 40 years or older at the time of delivery in four Santeon hospitals across the Netherlands between January 2016 and December 2019. Outcomes were compared between women of 40-44 years (advanced maternal age) and 45 years and older (very advanced maternal age). Primary outcome was unplanned cesarean section, secondary outcomes included postpartum hemorrhage and neonatal outcomes. Multivariate regression analysis was performed to analyze predictive factors for unplanned cesarean sections in women who attempted vaginal delivery. Subsequently, a predictive model and risk scores were constructed to predict unplanned cesarean section. RESULTS: A cohort of 1660 women was analyzed; mean maternal age was 41.4 years, 4.8% of the women were 45 years and older. In both groups, more than half of the women had not delivered vaginally before. Unplanned cesarean sections were performed in 21.1% of the deliveries in advanced maternal age and in 29.1% in very advanced maternal age. Four predictive factors were significantly correlated with unplanned cesarean sections: higher body mass index (BMI), no previous vaginal delivery, spontaneous start of delivery and number of days needed for cervical priming. A predictive model was constructed from these factors with an area under the curve of 0.75 (95% confidence interval 0.72-0.78). A sensitivity analysis in nulliparous women proved that BMI, days of cervical priming, age, and gestational age were risk factors, whereas spontaneous start of delivery and induction were protective factors. There was one occurrence of neonatal death. CONCLUSIONS: Women of advanced maternal age and those of very advanced maternal age have a higher chance of having an unplanned cesarean section compared to the general obstetric population in the Netherlands. Unplanned cesarean sections can be predicted through use of our predictive model. Risk increases with higher BMI, no previous vaginal delivery, and increasing number of days needed for cervical priming, whereas spontaneous start of labor lowers the risk. In nulliparous women, age and gestational age also increase risk, but induction lowers the risk of having an unplanned cesarean section.