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The Toxicology Investigators Consortium (ToxIC) Core Registry was established by the American College of Medical Toxicology in 2010. The Core Registry collects data from participating sites with the agreement that all bedside and telehealth medical toxicology consultations will be entered. This twelfth annual report summarizes the registry's 2021 data and activity with its additional 8552 cases. Cases were identified for inclusion in this report by a query of the ToxIC database for any case entered from January 1 to December 31, 2021. Detailed data was collected from these cases and aggregated to provide information, which included demographics, reason for medical toxicology evaluation, agent and agent class, clinical signs and symptoms, treatments and antidotes administered, mortality, and whether life support was withdrawn. Gender distribution included 50.4% of cases in females, 48.2% of cases in males, and 1.4% of cases in transgender or gender non-conforming individuals. Non-opioid analgesics were the most commonly reported agent class (14.9%), followed by opioids (13.1%). Acetaminophen was the most common agent reported. Fentanyl was the most common opioid reported and was responsible for the greatest number of fatalities. There were 120 fatalities, comprising 1.4% of all cases. Major trends in demographics and exposure characteristics remained similar to past years' reports. Sub-analyses were conducted to describe new demographic characteristics, including marital status, housing status and military service, the continued COVID-19 pandemic and related toxicologic exposures, and novel substances of exposure.

Introduction: To address persistent gender inequities in academic medicine, women professional development groups (PDG) have been developed to support the advancement of women in medicine. While these programs have shown promising outcomes, long-term evaluative metrics do not currently exist. The objective of this study was to establish metrics to assess women’s PDGs.  Methods: This was a modified Delphi study that included an expert panel of current and past emergency department (ED) chairs and Academy for Women in Academic Emergency Medicine (AWAEM) presidents. The panel completed three iterative surveys to develop and rank metrics to assess women PDGs. Metrics established by the expert panel were also distributed for member-checking to women EM faculty.  Results: The expert panel ranked 11 metrics with high to moderate consensus ranking with three metrics receiving greater than 90% consensus: gender equity strategy and plan; recruitment; and compensation. Members ranked 12 metrics with high consensus with three metrics receiving greater than 90% consensus: gender equity strategy and plan; compensation; and gender equity in promotion rates among faculty. Participants emphasized that departments should be responsible for leading gender equity efforts with PDGs providing a supportive role.  Conclusion: In this study, we identified metrics that can be used to assess academic EDs’ gender equity initiatives and the advisory efforts of a departmental women’s PDG. These metrics can be tailored to individual departmental/institutional needs, as well as to a PDG’s mission. Importantly, PDGs can use metrics to develop and assess programming, acknowledging that many metrics are the responsibility of the department rather than the PDG.

Introduction Suzuki-Miyaura cross-coupling (SMC) has been extensively applied in the formation of C([sp.sup.2])-C([sp.sup.2]) bonds, (1-5) which are present in a variety of pharmaceuticals, (6-8) agrochemicals, (9) and new organic materials. [...]

The Toxicology Investigators Consortium (ToxIC) Registry was established by the American College of Medical Toxicology in 2010. The registry collects data from participating sites with the agreement that all bedside and telehealth medical toxicology consultation will be entered. This eleventh annual report summarizes the Registry's 2020 data and activity with its additional 6668 cases. Cases were identified for inclusion in this report by a query of the ToxIC database for any case entered from January 1 to December 31, 2020. Detailed data was collected from these cases and aggregated to provide information which included demographics, reason for medical toxicology evaluation, agent and agent class, clinical signs and symptoms, treatments and antidotes administered, mortality, and whether life support was withdrawn. Gender distribution included 50.6% cases in females, 48.4% in males, and 1.0% identifying as transgender. Non-opioid analgesics were the most commonly reported agent class, followed by opioid and antidepressant classes. Acetaminophen was once again the most common agent reported. There were 80 fatalities, comprising 1.2% of all registry cases. Major trends in demographics and exposure characteristics remained similar to past years' reports. Sub-analyses were conducted to describe race and ethnicity demographics and exposures in the registry, telemedicine encounters, and cases related to the COVID-19 pandemic.

Objective To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing techniques. Materials and Methods We first created a lexicon and regular expression lists from literature-driven stem words for linguistic features of stigmatizing patient labels, doubt markers, and scare quotes within EHRs. The lexicon was further extended using Word2Vec and GPT 3.5, and refined through human evaluation. These lexicons were used to search for matches across 18 million sentences from the de-identified Medical Information Mart for Intensive Care-III (MIMIC-III) dataset. For each linguistic bias feature, 1000 sentence matches were sampled, labeled by expert clinical and public health annotators, and used to supervised learning classifiers. Results Lexicon development from expanded literature stem-word lists resulted in a doubt marker lexicon containing 58 expressions, and a stigmatizing labels lexicon containing 127 expressions. Classifiers for doubt markers and stigmatizing labels had the highest performance, with macro F 1-scores of 0.84 and 0.79, positive-label recall and precision values ranging from 0.71 to 0.86, and accuracies aligning closely with human annotator agreement (0.87). Discussion This study demonstrated the feasibility of supervised classifiers in automatically identifying stigmatizing labels and doubt markers in medical text and identified trends in stigmatizing language use in an EHR setting. Additional labeled data may help improve lower scare quote model performance. Conclusions Classifiers developed in this study showed high model performance and can be applied to identify patterns and target interventions to reduce stigmatizing labels and doubt markers in healthcare systems. [ABSTRACT FROM AUTHOR]

This article explores the gender disparities in emergency medicine research funding and the need for strategies to support women in this field. It focuses on the efforts of the Academy for Women in Academic Emergency Medicine (AWAEM) in promoting research activities and supporting women clinician-investigators. AWAEM offers various initiatives, such as funding opportunities, research committees, professional development awards, and recognition programs, to address gender equity in emergency medicine research. The organization aims to increase the number of independent investigators and reduce the gender gap in this field. [Extracted from the article]

Background: Gender disparities in emergency medicine (EM) persist, with women underrepresented in leadership positions and faced with unique challenges, such as gender discrimination and harassment. To address these issues, professional development programs for women have been recommended. Objectives: The purpose of this scoping review was to examine current women's professional development programs for EM and develop a collection of program characteristics, meeting topics, and tips for success that can be useful to new or existing women's professional development programs. Methods: The authors systematically searched research databases for literature detailing current women's professional development programs for EM physicians. Studies detailing professional development programs for female physicians in EM were included. Results: After 149 unique articles were screened, 11 studies met inclusion criteria, describing 10 professional development programs for women in EM. The most commonly cited program objectives included providing mentors and role models (n = 9, 90%), offering career advice and promoting professional advancement and leadership skills (n = 5, 50%), increasing academic recognition for women (n = 4, 40%), and promoting work–life balance and integration (n = 2, 20%). The most common topics covered in program sessions included mentorship and coaching, compensation and/or negotiation, leadership skills, and career advancement and promotion. Challenges and barriers to the success of these programs included a lack of funding and support, difficulty in recruiting participants, lack of institutional recognition and support, lack of time, and difficulty in sustaining the program over time. Conclusions: The study's findings can inform the development of programs that promote gender equity and support the advancement of women in EM. [ABSTRACT FROM AUTHOR]

Immigrant parents are not all alike. They vary in language skills as well as their understanding of U.S. culture. All of this affects their ability, if not inclination, to become engaged in their children's education. Educators can assist families by understanding the stages of immigrant parent involvement, which identifies parents' needs, skills, and interests as they move through the stages of Cultural Survivor, Cultural Learner, Cultural Connector, or Cultural Leader. Understanding these stages better equips educators to identify where families are as well as their unique challenges, and helps determine how to best support them.