Workplace Bullying Experiences of Nurses From Diverse Sexual Orientation and Gender Identity Groups.

AIM: To examine nurse workplace bullying relative to diverse sexual orientation and gender identity groups. DESIGN: Observational cross-sectional study. METHODS: Using an annual organisational satisfaction survey from 2022, we identified free-text comments provided by nurses (N = 25,337). We identified and themed comments for specific bullying content among unique respondents (n = 1432). We also examined close-ended questions that captured organisational constructs, such as job satisfaction and burnout. We looked at differences by comparing diverse sexual orientation and gender identity groups to the majority using both qualitative and quantitative data. RESULTS: For the free-text comments, themed categories reflected the type of bullying, the perpetrator and perceived impact. Disrespect was the most frequent theme with supervisors being the primary perpetrator. The reported bullying themes and workplace perceptions differed between nurses in the diverse gender identity and sexual orientation group compared to other groups. Nurses who reported bullying also reported higher turnover intent, burnout, lower workplace civility, more dissatisfaction and lower self-authenticity. CONCLUSION: Diverse sexual orientation and gender identity groups are understudied in the nurse bullying research, likely because of sensitivities around identification. Our design enabled anonymous assessment of these groups. We suggest practices to help alleviate and mitigate the prevalence of bullying in nursing. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution. IMPACT: We examined differences in perceptions of nurse bullying between diverse sexual orientation and gender identity groups compared to majority groups. Group differences were found both for thematic qualitative content and workplace experience ratings with members of minority groups reporting less favourable workplace experiences. Nurse leaders and staff can benefit from learning about best practices to eliminate bullying among this population. REPORTING METHOD: STROBE guidelines for cross-sectional observational studies.

An Update on the Nitrogen Heterocycle Compositions and Properties of U.S. FDA-Approved Pharmaceuticals (2013-2023).

This Perspective is a continuation of our analysis of U.S. FDA-approved small-molecule drugs (1938-2012) containing nitrogen heterocycles. In this study we report drug structure and property analyses of 321 unique new small-molecule drugs approved from January 2013 to December 2023 as well as information about frequency of important heteroatoms such as sulfur and fluorine and key small nitrogen substituents (CN and NO2). The most notable change is an incredible increase in drugs containing at least one nitrogen heterocycle─82%, compared to 59% from preceding decades─as well as a significant increase in the number of nitrogen heterocycles per drug. Pyridine has claimed the #1 high-frequency nitrogen heterocycle occurrence spot from piperidine (#2), with pyrimidine (#5), pyrazole (#6), and morpholine (#9) being the big top 10 climbers. Also notable is high number of fused nitrogen heterocycles, apparently driven largely by newly approved cancer drugs.

A new continuous glucose monitor for the diagnosis of gestational diabetes mellitus: a pilot study.

BACKGROUND: Gestational Diabetes Mellitus (GDM) incidence and adverse outcomes have increased globally. The validity of the oral glucose tolerance test (OGTT) for GDM diagnosis has long been questioned, with no suitable substitute reported yet. Continuous Glucose Monitoring (CGM) is potentially a more acceptable and comprehensive test. The aim of this study was to assess the Freestyle Libre Pro 2 acceptability as a diagnostic test for GDM, then triangulating its results with OGTT results as well as risk factors and sonographic features of GDM. METHODS: Women wore the CGM device for 7 days at 24-28 weeks, undergoing the OGTT before CGM removal. CGM/OGTT acceptability as well as GDM risk factors evaluation occurred via three online surveys. CGM distribution/variability/time in range parameters, combined in a CGM Score of Variability (CGMSV), were triangulated with OGTT results and a risk-factor-based Total Risk Score (TRS). In a subgroup, GDM ultrasound features (as modified Ultrasound Gestational Diabetes Score - m-UGDS) were also incorporated. RESULTS: Of 107 women recruited, 87 (81%) were included: 74 (85%) with negative OGTT (NGT) and 13 (15%) positive (GDM). No significant difference was found between NGT and GDM in terms of demographics (apart from family history of diabetes mellitus), CGM parameters and perinatal outcomes. Women considered CGM significantly more acceptable than OGTT (81% versus 27% rating 5/5, p < 0.001). Of the 55 NGT with triangulation data, 28 were considered 'true negative' (TRS concordant with OGTT and CGMSV): of these 4/5 evaluated at ultrasound had m-UGDS below the cut-off. Five women were considered 'false negative' (negative OGTT with both TRS and CGMSV above the respective cut-offs). Triangulation identified also six 'false positive' women (positive OGTT but TRS and CGM both below the cut-offs). Only one woman for each of the last two categories had m-UGDS evaluated, with discordant results. CONCLUSIONS: CGM represents a more acceptable alternative for GDM diagnosis to the OGTT. CGM triangulation analysis suggests OGTT screening may result in both false positives and negatives. Further research including larger cohorts of patients, and additional triangulation elements (such as GDM biomarkers/outcomes and expanded m-UGDS) is needed to explore CGM potential for GDM diagnosis.

Development and evaluation of an online questionnaire to identify women at high and low risk of developing gestational diabetes mellitus.

BACKGROUND: Established risk factors for Gestational Diabetes Mellitus (GDM) include age, ethnicity, family history of diabetes and previous GDM. Additional significant influences have recently been demonstrated in the literature. The oral glucose tolerance test (OGTT) used for GDM diagnosis has sub-optimal sensitivity and specificity, thus often results in GDM misdiagnoses. Comprehensive screening of risk factors may allow more targeted monitoring and more accurate diagnoses, preventing the devastating consequences of untreated or misdiagnosed GDM. We aimed to develop a comprehensive online questionnaire of GDM risk factors and triangulate it with the OGTT and continuous glucose monitoring (CGM) parameters to better evaluate GDM risk and diagnosis. METHODS: Pregnant women participating in two studies on the use of CGM for GDM were invited to complete the online questionnaire. A risk score, based on published literature, was calculated for each participant response and compared with the OGTT result. A total risk score (TRS) was then calculated as a normalised sum of all risk factors. Triangulation of OGTT, TRS and CGM score of variability (CGMSV) was analysed to expand evaluation of OGTT results. RESULTS: Fifty one women completed the questionnaire; 29 were identified as 'high-risk' for GDM. High-risk ethnic background (p < 0.01), advanced age, a family diabetic history (p < 0.05) were associated with a positive OGTT result. The triangulation analysis (n = 45) revealed six (13%) probable misdiagnoses (both TRS and CGMSV discordant with OGTT), consisting of one probable false positive and five probable false negative by OGTT results. CONCLUSIONS: This study identified pregnant women at high risk of developing GDM based on an extended evaluation of risk factors. Triangulation of TRS, OGTT and CGMSV suggested potential misdiagnoses of the OGTT. Future studies to explore the correlation between TRS, CGMSV and pregnancy outcomes as well as additional GDM pregnancy biomarkers and outcomes to efficiently evaluate OGTT results are needed.