Publications by authors named "M Jeffery"
Objective: Transgender and gender-diverse (TGD) individuals have a gender identity or expression that differs from the sex assigned to them at birth. They are an underserved population who experience health care inequities. Our primary objective was to identify if there are treatment differences between TGD and cisgender lesbian/gay/bisexual/queer (LGBQ) or heterosexual individuals presenting with abdominal pain to the emergency department (ED).
View Article and Find Full Text PDFIntroduction: Screening, brief intervention, and referral to treatment (SBIRT) has demonstrated up to 50% reduction in alcohol-related traumatic injury and is mandated by the American College of Surgeons for trauma center accreditation. While SBIRT effectiveness has been previously investigated, optimal implementation in the trauma setting has not. We sought to improve SBIRT compliance through integration of screening into a performance improvement checklist (PIC) deployed during morning report.
View Article and Find Full Text PDFBackground: There are more than 1.5 million children and young people in England with special educational needs (SEN), with over 160,000 young people in the United Kingdom attending a special school or alternative provision (AP) setting. Young people with SEN have been found to be at risk for poorer mental health and well-being than non-SEN peers.
View Article and Find Full Text PDFArticle Synopsis
- Real-world evidence is gaining interest for assessing the efficacy and safety of treatments for substance use disorders (SUDs), but its feasibility as a substitute for clinical trials remains unclear.
- A study evaluated 272 clinical trials for SUDs registered on ClinicalTrials.gov to see if their data could be replicated using current insurance claims or electronic health records.
- Findings showed that while many trials had identifiable criteria, no trial met all the requirements for effective emulation using real-world data, highlighting limitations in available data sources.
Article Synopsis
- A systematic review was conducted to summarize quantitative bias analysis (QBA) methods for observational studies, focusing on their characteristics and range based on peer-reviewed articles.
- Out of over 10,000 records, 53 articles detailed 57 QBA methods, with a majority (93%) aimed at observational studies and relevant biases such as unmeasured confounding and misclassification.
- This review provides a valuable resource for future researchers to identify appropriate QBA methods to adjust for biases in summary-level epidemiologic data.