To determine the rate of and factors associated with suboptimal discharge antimicrobial prescribing at a tertiary referral children’s hospital.

Retrospective cohort.

Tertiary referral children’s hospital.

All enteral antimicrobial discharge prescriptions at Lucile Packard Children’s Hospital Stanford from January 1st, 2021 through December 31st, 2021.

All enteral discharge antimicrobials are routinely evaluated by our antimicrobial stewardship program within 48 hours of hospital discharge. Antimicrobials are determined to be optimal or suboptimal by an antimicrobial stewardship pharmacist after evaluating the prescribed choice of antimicrobial, dose, duration, dosing frequency, and formulation. The rate and factors associated with suboptimal antimicrobial discharge prescribing were evaluated.

Of 2,593 antimicrobial prescriptions ordered at discharge, 19.7% were suboptimal. Suboptimal prescriptions were due to incorrect duration (72.2%), dose (31.0%), dose frequency (23.3%), drug choice (6.5%), or formulation (5.7%). In total, 87.2% of antimicrobials for perioperative prophylaxis and 13.5% of treatment antimicrobials were suboptimal. Antimicrobials with the highest rate of suboptimal prescriptions were amoxicillin-clavulanate (40.7%), clindamycin (36.6%), and cephalexin (36.6%).

Suboptimal antimicrobial discharge prescriptions are common and present an opportunity for antimicrobial stewardship programs during hospital transition of care. Factors associated with suboptimal prescriptions differ by antimicrobial and prescribed indication, indicating that multiple stewardship interventions may be needed to improve prescribing.

Clinical trials provide the “gold standard” evidence for advancing the practice of medicine, even as they evolve to integrate real-world data sources. Modern clinical trials are increasingly incorporating real-world data sources – data not intended for research and often collected in free-living contexts. We refer to trials that incorporate real-world data sources as real-world trials. Such trials may have the potential to enhance the generalizability of findings, facilitate pragmatic study designs, and evaluate real-world effectiveness. However, key differences in the design, conduct, and implementation of real-world vs traditional trials have ramifications in data management that can threaten their desired rigor.

Three examples of real-world trials that leverage different types of data sources – wearables, medical devices, and electronic health records are described. Key insights applicable to all three trials in their relationship to Data and Safety Monitoring Boards (DSMBs) are derived.

Insight and recommendations are given on four topic areas: A. Charge of the DSMB; B. Composition of the DSMB; C. Pre-launch Activities; and D. Post-launch Activities. We recommend stronger and additional focus on data integrity.

Clinical trials can benefit from incorporating real-world data sources, potentially increasing the generalizability of findings and overall trial scale and efficiency. The data, however, present a level of informatic complexity that relies heavily on a robust data science infrastructure. The nature of monitoring the data and safety must evolve to adapt to new trial scenarios to protect the rigor of clinical trials.

To assess the training and the future workforce needs of paediatric cardiac critical care faculty.

REDCap surveys were sent May−August 2019 to medical directors and faculty at the 120 US centres participating in the Society of Thoracic Surgeons Congenital Heart Surgery Database. Faculty and directors were asked about personal training pathway and planned employment changes. Directors were additionally asked for current faculty numbers, expected job openings, presence of training programmes, and numbers of trainees. Predictive modelling of the workforce was performed using respondents’ data. Patient volume was projected from US Census data and compared to projected provider availability.

Sixty-six per cent (79/120) of directors and 62% (294/477) of contacted faculty responded. Most respondents had training that incorporated critical care medicine with the majority completing training beyond categorical fellowship. Younger respondents and those in dedicated cardiac ICUs were more significantly likely to have advanced training or dual fellowships in cardiology and critical care medicine. An estimated 49–63 faculty enter the workforce annually from various training pathways. Based on modelling, these faculty will likely fill current and projected open positions over the next 5 years.

Paediatric cardiac critical care training has evolved, such that the majority of faculty now have dual fellowship or advanced training. The projected number of incoming faculty will likely fill open positions within the next 5 years. Institutions with existing or anticipated training programmes should be cognisant of these data and prepare graduates for an increasingly competitive market.