Gender Bias and Perceptions of the Nursing Profession in Croatia: A Cross-Sectional Study Comparing Patients and the General Population.

Background: The way the nursing profession is perceived plays a pivotal role in shaping the public's attitude toward its members, primarily influenced by interactions with nurses and media representation. However, it can be significantly impacted by historical and traditional stereotypes, coupled with enduring gender bias and other preconceived notions. Objectives: The study aimed to examined how the title "nurse" reflects the profession's identity, perception as a female occupation, and status as a healthcare activity. It also assessed awareness of nurses' roles, education and public presence, comparing general population and patients' opinions in the Republic of Croatia. Methods: Conducted as a cross-sectional study, this research employed a structured questionnaire and a convenience sampling approach. It encompassed both the general population and patients from Croatia, with data collection spanning from February 15, 2023, to March 16, 2023, and resulting in a total sample size of 624 participants. Statistical analysis included both descriptive and inferential techniques, and significance was set at p < .01 (two-tailed). Results: A substantial proportion of respondents, amounting to 38.1%, correlate the term "nurse" with the role of the physician's assistant, whereas only 49.5% associate it with a true professional functioning within their field of work. Furthermore, 73.7% study participants perceive the nursing profession as being desirable for men. Upon examining the perspectives of the general population and patients, statistically significant differences emerged in terms of their perceptions regarding the perceived work scope (p < .001) and the level of sufficient educational attainment (p < .001) of nursing professionals. Conclusion: The analysis uncovers varying perceptions of the nursing profession in the Republic of Croatia, as well as evolving perceptions of gender diversity within nursing roles. Differing viewpoints between the general population and patients in this study emphasize the need for tailored education and communication initiatives to improve the image of nursing.

Sex Difference in the Treatment of Dupuytren's Disease: A Systematic Review and Meta-Analysis of Clinical Trials.

Purpose: The aim of this study was to assess the sex differences in enrollment into clinical trials for Dupuytren's disease (DD), treatment efficacy, and complications. Methods: Three databases were searched; Ovid MEDLINE, Ovid EMBASE, and EBSCO CINAHL. Included studies were clinical trials on adult patients with DD. Exclusion criteria were non-English studies and other study designs. Two independent reviewers completed abstract screening, full-text review, and data extraction. The number and percentage of studies that reported ad hoc analyses for sex differences in treatment efficacy, tolerability, and complications were reported. A meta-analysis was performed on the proportion of female participants enrolled in clinical trials for DD. Results: A total of 3172 references were screened, and 59 studies were identified for full-text review. We identified 28 clinical trials for DD of which none reported secondary analyses for sex differences. Only 2 trials discussed sex differences in complications, and one trial reported sex differences in tolerability. The proportion of female participants in the meta-analysis was 19.5% [95% CI: 16.1-23.0%]. Conclusion: Sex differences in the clinical trials for DD are not widely considered in clinical trials despite their critical role. Males and females do not have equal representation in clinical trials for DD. Future studies should account for sex differences in the design and the analysis of clinical trials.

Objectif: La présente étude visait à évaluer les différences selon les sexes à l'égard de l'inscription à des études cliniques sur la maladie de Dupuytren (MD), l'efficacité du traitement et les complications. Méthodologie: Les chercheurs ont fouillé trois bases de données, soit Ovid MEDLINE, Ovid EMBASE et EBSCO CINAHL et ont retenu les études cliniques sur les patients adultes atteints de MD. Ils ont exclu les études qui n'étaient pas rédigées en anglais et qui reposaient sur d'autres méthodologies. Deux analystes indépendants ont examiné les résumés, analysé les textes intégraux et extrait les données. Ils ont rendu compte du nombre et du pourcentage d'études qui ont fait état d'analyses ponctuelles sur les différences selon les sexes à l'égard de l'efficacité du traitement, de la tolérabilité et des complications. Ils ont procédé à une méta-analyse sur la proportion de participantes inscrites aux études cliniques sur la MD. Résultats: Au total, les chercheurs ont examiné 3172 références et ont retenu 59 études en vue d'en évaluer le texte intégral. Ils ont répertorié 28 études cliniques sur la MD, et aucune ne contenait d'analyses secondaires sur les différences selon les sexes. Seulement deux études abordaient les différences selon les sexes pour ce qui est des complications, et une étude constatait des différences selon les sexes quant à la tolérabilité. Dans la méta-analyse, la proportion de participantes s'élevait à 19,5% [IC à 95% : 16,1% à 23,0%]. Conclusion: On ne tient pas tellement compte des différences selon les sexes dans les études cliniques sur la MD, malgré leur rôle capital. Les hommes et les femmes ne sont pas représentés équitablement dans les essais cliniques sur la MD. De prochaines études devraient tenir compte des différences selon les sexes au moment d'établir la méthodologie des études cliniques et de les analyser.

Gender Representations, Empathy, and Gender-Based Violence Awareness Among Medical Students: A Proposal for a Specific Training Program.

INTRODUCTION: In recent decades, the topic of gender differences has become central to many areas of study, including medicine. The present study explored gender differences in empathy, gender role ideologies, and gender sensitivity among medical students, highlighting significant variations that can inform medical education and training programs. MATERIALS AND METHODS: The study involved 155 students (52.1% male; mean age: 22.68±2.48 years) from the Department of Medicine, Surgery, and Dentistry of the University of Salerno in Baronissi, Southern Italy. Participants completed two standardized scales: the Jefferson Scale of Empathy (JSE) to assess empathy, and the Nijmegen Gender Awareness in Medicine Scale (N-GAMS) to evaluate gender awareness. Six open-ended questions were also included in the gender-based violence representations. RESULTS: The ANOVA analysis reveals significant differences in scores between male and female students across the N-GAMS scales, indicating a strong role of gender in these variations. These findings suggest the necessity for further research to understand the contributing factors and inform targeted interventions in medical education. Additionally, there are significant differences in compassionate care (Factor 2) and walking in the patient's shoes (Factor 3), highlighting the substantial impact of gender on these latter aspects of empathy. CONCLUSIONS: These gender differences have significant implications for medical education. Training programs should be tailored to address the specific needs and characteristics of both male and female students. For example, encouraging male students to maintain their gender sensitivity while challenging traditional gender role ideologies can promote a more inclusive approach to patient care. For female students, fostering confidence in their compassionate care abilities and providing opportunities to express empathy in diverse ways can help overcome societal constraints.

The Landscape of Pain Medicine for Women Physicians: A Perspective.

BACKGROUND: The gender bias in academic anesthesiology is well known. Women are not only a minority in the field but also underrepresented in leadership positions. Reported reasons for this underrepresentation include barriers to career advancement, lack of mentorship, and differences in compensation, among others. Interventional pain, a competitive procedural subspecialty of anesthesiology, sees the trickle-down effects of this disparity. According to a report from the ACGME that sorted medical subspecialties by number of female trainees, pain medicine ranked in the bottom quartile across all disciplines from 2008-2016. OBJECTIVES: To better understand the landscape for women physicians in the field of pain medicine, we undertook this investigation to review the knowledge about the topic and what questions remain unanswered. STUDY DESIGN: This study is a review of the current literature and aims to summarize and describe the landscape of pain medicine for women physicians. SETTING: All literature review and manuscript preparation took place at the Yale University School of Medicine. METHODS: We performed a comprehensive search using the PubMed, Scopus, and Cochrane databases for the combined terms "gender disparity," "pain medicine," and "anesthesiology," limiting our search to the year 2000 onward for the most recent literature on the topic. Our initial search retrieved 38 articles. All relevant articles pertaining to this perspective piece were collated. The available literature is discussed below. RESULTS: Women are underrepresented in interventional pain. The grim scarcity of female pain physicians is unlikely to improve soon, since while the number of Accreditation Council for Graduate Medical Education pain fellowship programs continues to grow, women trainees comprise only between 22-25% of all pain medicine fellows. Additionally, although studies have compared the numbers of male interventional pain faculty to their female counterparts in academic hospitals and shown the ratio to range from 71.84-82% to 18-28.52%, respectively, no studies have truly explored the landscape for women physicians in private practice. Patients prefer and have better experiences with physicians who are racially and ethnically like themselves. In fact, the preference for and the lack of female clinicians have been associated with delayed pursuit of care and adverse health outcomes. The consequences of the burnout and attrition caused by the gender disparity, especially in a field like pain medicine, cannot be understate. LIMITATIONS: The review might not have been comprehensive, and relevant studies might not have been included. CONCLUSION: While the gender disparity in academia is well documented for both anesthesiology and pain medicine, the reasons for this disparity have not been fully explored. Moreover, it is also unknown whether the minority of female physicians who select pain medicine as a subspecialty gravitate toward an academic or a private-practice path. To address the existing gender disparity, it is necessary to explore the landscape of interventional pain medicine in both academic and private practices and understand pain physicians' beliefs and sentiments regarding their subspecialty.

Sex, Age, and Patient Experience in Cardiologist Reviews: A Large-Scale Artificial Intelligence-Enabled Analysis.

Background: Patients are increasingly using online reviews to evaluate cardiologists. Online reviews can provide insights into factors driving patient satisfaction. Little is known about the effects of age and sex on the patient experience with cardiologists. Objectives: The purpose of this study was to apply natural language processing techniques on online reviews to determine the factors underlying positive and negative patient experiences and the effects of age and sex on the patient experience with cardiologists. Methods: Mixed effects logistic regression and sentiment analysis were applied to online cardiologist reviews from Healthgrades between 1998 and 2023. The results were then analyzed by sex and age to show trends with respect to rating statistics, sentiment analysis, and frequency of 2-word phrases. Results: There were 100,334 online reviews of 9,461 cardiologists. Female cardiologists received lower average ratings compared to male cardiologists and were 34.5% less likely to receive a positive review (OR: 0.655; 95% CI: 0.481-0.893; P = 0.015). Older cardiologists received lower average ratings compared to younger cardiologists (4.145 ± 0.908 vs 4.348 ± 0.795; P < 0.01). Positive reviews were associated with time spent with patients (OR: 1.383; 95% CI: 1.251-1.528; P < 0.01), answering questions (OR: 2.622; 95% CI: 2.324-2.959; P < 0.01), and patients feeling they could trust their providers' decisions (OR: 2.285; 95% CI: 2.053-2.543; P < 0.01). Conclusions: Positive reviews were associated with cardiologists being comprehensive and patients feeling a sense of trust in the relationship. There was a difference in ratings based on age and sex with female and older cardiologists receiving lower ratings.

The landscape of biomedical research.

The number of publications in biomedicine and life sciences has grown so much that it is difficult to keep track of new scientific works and to have an overview of the evolution of the field as a whole. Here, we present a two-dimensional (2D) map of the entire corpus of biomedical literature, based on the abstract texts of 21 million English articles from the PubMed database. To embed the abstracts into 2D, we used the large language model PubMedBERT, combined with t-SNE tailored to handle samples of this size. We used our map to study the emergence of the COVID-19 literature, the evolution of the neuroscience discipline, the uptake of machine learning, the distribution of gender imbalance in academic authorship, and the distribution of retracted paper mill articles. Furthermore, we present an interactive website that allows easy exploration and will enable further insights and facilitate future research.

Giving Women the Benefit of the Doubt? Examining Gender Differences in Schools' Management of Sexual Allegations Against Employees.

Comparing women's and men's sexual offending patterns in educational settings is a relatively recent empirical endeavor. Accordingly, gender-based examinations of schools' management of sexual allegations are lacking. We address this gap by drawing on a unique administrative dataset from an Australian jurisdiction that captures alleged improper sexual conduct by educational employees. We compare 809 female- and male-perpetrated cases reported between 2015 and 2019 with respect to event, location, victim, and perpetrator characteristics, as well as the ensuing risk management strategies and sanctions. Compared to men, reported women were younger, employed on more secure employment arrangements, and less often had a relevant discipline history. Most alleged event characteristics did not significantly differ based on perpetrator gender. Women's alleged perpetration, however, more often occurred in places external to school and involved more serious sexual victimization of comparatively older male students. After controlling for event, victim, perpetrator, and allegation characteristics there was nearly no support for a gender bias in institutional responses. However, a lack of any action was more often observed in female-perpetrated cases under very specific and limited conditions. Resultant implications for the management and oversight of employee-related allegations are discussed.

Synthesis of sexual selection: a systematic map of meta-analyses with bibliometric analysis.

Sexual selection has been a popular subject within evolutionary biology because of its central role in explaining odd and counterintuitive traits observed in nature. Consequently, the literature associated with this field of study became vast. Meta-analytical studies attempting to draw inferences from this literature have now accumulated, varying in scope and quality, thus calling for a synthesis of these syntheses. We conducted a systematic literature search to create a systematic map with a report appraisal of meta-analyses on topics associated with sexual selection, aiming to identify the conceptual and methodological gaps in this secondary literature. We also conducted bibliometric analyses to explore whether these gaps are associated with the gender and origin of the authors of these meta-analyses. We included 152 meta-analytical studies in our systematic map. We found that most meta-analyses focused on males and on certain animal groups (e.g. birds), indicating severe sex and taxonomic biases. The topics in these studies varied greatly, from proximate (e.g. relationship of ornaments with other traits) to ultimate questions (e.g. formal estimates of sexual selection strength), although the former were more common. We also observed several common methodological issues in these studies, such as lack of detailed information regarding searches, screening, and analyses, which ultimately impairs the reliability of many of these meta-analyses. In addition, most of the meta-analyses' authors were men affiliated to institutions from developed countries, pointing to both gender and geographical authorship biases. Most importantly, we found that certain authorship aspects were associated with conceptual and methodological issues in meta-analytical studies. Many of our findings might simply reflect patterns in the current state of the primary literature and academia, suggesting that our study can serve as an indicator of issues within the field of sexual selection at large. Based on our findings, we provide both conceptual and analytical recommendations to improve future studies in the field of sexual selection.

Decoding the Reference Letter: Strategies to Reduce Unintentional Gender Bias in Letters of Recommendation.

Introduction: There is a growing body of literature on gender bias in letters of recommendation (LORs) in academic medicine and the negative effect of bias on promotion and career advancement. Thus, increasing knowledge about gender bias and developing skills to mitigate it is important for advancing gender equity in medicine. This workshop aims to provide participants with knowledge about linguistic bias (focused on gender), how to recognize it, and strategies to apply to mitigate it when writing LORs. Methods: We developed an interactive 60-minute workshop for faculty and graduate medical education program directors consisting of didactics, reflection exercises, and group activities. We used a postworkshop survey to evaluate the effectiveness of the workshop. Descriptive statistics were used to analyze Likert-scale questions and a thematic content analysis for open-ended prompts. Results: We presented the workshop four times (two local and two national conferences) with one in-person and one virtual format for each. There were 50 participants who completed a postworkshop survey out of 74 total participants (68% response rate). Ninety-nine percent of participants felt the workshop met its educational objectives, and 100% felt it was a valuable use of their time. Major themes described for intended behavior change included utilization of the gender bias calculator, mindful use and balance of agentic versus communal traits, closer attention to letter length, and dissemination of this knowledge to colleagues. Discussion: This workshop was an effective method for helping participants recognize gender bias when writing LORs and learn strategies to mitigate it.

Evaluating gender bias in ML-based clinical risk prediction models: A study on multiple use cases at different hospitals.

BACKGROUND: An inherent difference exists between male and female bodies, the historical under-representation of females in clinical trials widened this gap in existing healthcare data. The fairness of clinical decision-support tools is at risk when developed based on biased data. This paper aims to quantitatively assess the gender bias in risk prediction models. We aim to generalize our findings by performing this investigation on multiple use cases at different hospitals. METHODS: First, we conduct a thorough analysis of the source data to find gender-based disparities. Secondly, we assess the model performance on different gender groups at different hospitals and on different use cases. Performance evaluation is quantified using the area under the receiver-operating characteristic curve (AUROC). Lastly, we investigate the clinical implications of these biases by analyzing the underdiagnosis and overdiagnosis rate, and the decision curve analysis (DCA). We also investigate the influence of model calibration on mitigating gender-related disparities in decision-making processes. RESULTS: Our data analysis reveals notable variations in incidence rates, AUROC, and over-diagnosis rates across different genders, hospitals and clinical use cases. However, it is also observed the underdiagnosis rate is consistently higher in the female population. In general, the female population exhibits lower incidence rates and the models perform worse when applied to this group. Furthermore, the decision curve analysis demonstrates there is no statistically significant difference between the model's clinical utility across gender groups within the interested range of thresholds. CONCLUSION: The presence of gender bias within risk prediction models varies across different clinical use cases and healthcare institutions. Although inherent difference is observed between male and female populations at the data source level, this variance does not affect the parity of clinical utility. In conclusion, the evaluations conducted in this study highlight the significance of continuous monitoring of gender-based disparities in various perspectives for clinical risk prediction models.

Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults.

BACKGROUND: Given the recent evidence on gender differences in the presentation of autism, there is an increasing concern that current tools for autism do not adequately capture traits more often found in women. If tools for autism measure autistic traits differently based on gender alone, their validity may be compromised as they may not be measuring the same construct across genders. Measurement invariance investigations of autism measures can help assess the validity of autism constructs for different genders. The aim of this systematic review is to identify and critically appraise the psychometric properties of all self-report tools for autism in adults that meet two criteria: (a) they have been published since or included in the NICE (2014) recommendations, and (b) they have undergone gender-related measurement invariance investigations as part of their validation process. METHODS: A search of electronic databases will be conducted from 2014 until the present using MEDLINE, Embase, and PsycINFO using predefined search terms to identify eligible studies. The search for grey literature will include sources such as OpenGrey, APA PsycEXTRA, and Scopus. Two reviewers will independently screen titles, abstracts, and full texts for eligibility. The references of included studies will be searched for additional records. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, while psychometric quality of findings will be assessed based on criteria for good measurement properties and ConPsy checklist. The quality of the total body of evidence will be appraised using the approach outlined in the modified GRADE guidelines. DISCUSSION: This systematic review will be among the first to assess the psychometric properties and gender-related measurement invariance of self-reported measures for autism in adults that were published since (or included in) NICE (2014) guidelines. The review will provide recommendations for the most suitable tool to assess for autism without gender bias. If no such measure is found, it will identify existing tools with promising psychometric properties that require further testing, or suggest developing a new measure. SYSTEMATIC REVIEW REGISTRATION: The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO). The registration number is CRD42023429350.

Spontaneous instrumental approach-avoidance learning in social contexts in autism.

BACKGROUND: Individuals with Autism Spectrum Condition (ASC) are characterized by atypicalities in social interactions, compared to Typically Developing individuals (TD). The social motivation theory posits that these difficulties stem from diminished anticipation, reception, and/or learning from social rewards. Although learning from socioemotional outcomes is core to the theory, studies to date have been sparse and inconsistent. This possibly arises from a combination of theoretical, methodological and sample-related issues. Here, we assessed participants' ability to develop a spontaneous preference for actions that lead to desirable socioemotional outcomes (approaching/avoiding of happy/angry individuals, respectively), in an ecologically valid social scenario. We expected that learning abilities would be impaired in ASC individuals, particularly in response to affiliative social feedback. METHOD: We ran an online social reinforcement learning task, on two large online cohorts with (n = 274) and without (n = 290) ASC, matched for gender, age and education. Participants had to indicate where they would sit in a waiting room. Each seat was associated with different probabilities of approaching/avoiding emotional individuals. Importantly, the task was implicit, as participants were not instructed to learn, and emotional expressions were never mentioned. We applied both categorical analyses contrasting the ASC and TD groups and dimensional factor analysis on affective questionnaires. RESULTS: Contrary to our hypothesis, participants showed spontaneous learning from socioemotional outcomes, regardless of their diagnostic group. Yet, when accounting for dimensional variations in autistic traits, as well as depression and anxiety, two main findings emerged among females who failed to develop explicit learning strategies: (1) autism severity in ASC correlated with reduced learning to approach happy individuals; (2) anxiety-depression severity across both ASC and TD participants correlated with reduced learning to approach/avoid happy/angry individuals, respectively. CONCLUSIONS: Implicit spontaneous learning from socioemotional outcomes is not generally impaired in autism but may be specifically associated with autism severity in females with ASC, when they do not have an explicit strategy for adapting to their social environment. Clinical diagnosis and intervention ought to take into account individual differences in their full complexity, including the presence of co-morbid anxiety and depression, when dealing with social atypicalities in autism.

Identification of low-value practices susceptible to gender bias in primary care setting.

BACKGROUND: Data on overuse of diagnostic and therapeutic resources underline their contribution to the decline in healthcare quality. The application of "Do Not Do" recommendations, in interaction with gender biases in primary care, remains to be fully understood. Therefore, this study aims to identify which low-value practices (LVPs) causing adverse events are susceptible to be applied in primary care setting with different frequency between men and women. METHODS: A consensus study was conducted between November 1, 2021, and July 4, 2022, in the primary care setting of the Valencian Community, Spain. Thirty-three of the 61 (54.1%) health professionals from clinical and research settings invited, completed the questionnaire. Participants were recruited by snowball sampling through two scientific societies, meeting specific inclusion criteria: over 10 years of professional experience and a minimum of 7 years focused on health studies from a gender perspective. An initial round using a questionnaire comprising 40 LVPs to assess consensus on their frequency in primary care, potential to cause serious adverse events, and different frequency between men and women possibly due to gender bias. A second round-questionnaire was administered to confirm the final selection of LVPs. RESULTS: This study identified nineteen LVPs potentially linked to serious adverse events with varying frequencies between men and women in primary care. Among the most gender-biased and harmful LVPs were the use of benzodiazepines for insomnia, delirium, and agitation in the elderly, and the use of hypnotics without a previous etiological diagnosis. CONCLUSIONS: Identifying specific practices with potential gender biases, mainly in mental health for the elderly, contributes to healthcare promotion and bridges the gap in gender inequalities. TRIAL REGISTRATION: NCT05233852, registered on 10 February 2022.

Language Matters: Is There Gender Bias in Internal Medicine Grand Rounds Introductions?

PURPOSE:  We performed an exploratory evaluation of gender-specific differences in speakers and their introductions at internal medicine grand rounds. METHOD:  Internal medicine grand rounds video archives from three sites between December 2013 and September 2020 were manually transcribed and analyzed using natural language processing techniques. Differences in word usage by gender were compared. RESULTS:  Four hundred and sixty-two grand rounds held at three institutions were examined. There were 167 (34.6%) speakers who were women and 316 (65.4%) who were men. The proportion of women speakers was significantly lower than that of women in the internal medicine workforce (34.6% vs. 39.2%, p = 0.04). Among 191 external speakers, only 57 (29.8%) were women. The use of professional titles was equivalent between genders. Despite equal mention of specific achievements in both male and female speaker introductions, there was a trend toward casting female speakers as being less established. CONCLUSION:  There is a need to adopt processes that will decrease inequities in the representation of women in grand rounds and in their introductions.

Representativeness and face-ism: Gender bias in image search.

Implicit and explicit gender biases in media representations of individuals have long existed. Women are less likely to be represented in gender-neutral media content (representation bias), and their face-to-body ratio in images is often lower (face-ism bias). In this article, we look at representativeness and face-ism in search engine image results. We systematically queried four search engines (Google, Bing, Baidu, Yandex) from three locations, using two browsers and in two waves, with gender-neutral (person, intelligent person) and gendered (woman, intelligent woman, man, intelligent man) terminology, accessing the top 100 image results. We employed automatic identification for the individual's gender expression (female/male) and the calculation of the face-to-body ratio of individuals depicted. We find that, as in other forms of media, search engine images perpetuate biases to the detriment of women, confirming the existence of the representation and face-ism biases. In-depth algorithmic debiasing with a specific focus on gender bias is overdue.

Gender Bias in Artificial Intelligence-Written Letters of Reference.

OBJECTIVE: Letters of reference (LORs) play an important role in postgraduate residency applications. Human-written LORs have been shown to carry implicit gender bias, such as using more agentic versus communal words for men, and more frequent doubt-raisers and references to appearance and personal life for women. This can result in inequitable access to residency opportunities for women. Given the known gendered language often unconsciously inserted into human-written LORs, we sought to identify whether LORs generated by artificial intelligence exhibit gender bias. STUDY DESIGN: Observational study. SETTING: Multicenter academic collaboration. METHODS: Prompts describing identical men and women applying for Otolaryngology residency positions were created and provided to ChatGPT to generate LORs. These letters were analyzed using a gender-bias calculator which assesses the proportion of male- versus female-associated words. RESULTS: Regardless of the gender, school, research, or other activities, all LORs generated by ChatGPT showed a bias toward male-associated words. There was no significant difference between the percentage of male-biased words in letters written for women versus men (39.15 vs 37.85, P = .77). There were significant differences in gender bias found by each of the other discrete variables (school, research, and other activities) chosen. CONCLUSION: While ChatGPT-generated LORs all showed a male bias in the language used, there was no gender bias difference in letters produced using traditionally masculine versus feminine names and pronouns. Other variables did induce gendered language, however. ChatGPT is a promising tool for LOR drafting, but users must be aware of potential biases introduced or propagated through these technologies.

Religiosity and gender bias structure social networks.

The number of studies examining gender differences in the social relationship rewards associated with costly religious practice has been surprisingly low. Here, we use data from 289 residents of an agricultural Tibetan village to assess whether individuals are more inclined to establish supportive relationships with religious individuals in general and to investigate the gender disparities in the relationship between religiosity and personal network characteristics. Our results reveal that participation in religious rituals contributes to the overall development of social support networks. The benefits to personal networks, however, seem to be contingent upon gender. For resource-intensive, infrequent religious rituals such as distant pilgrimages, males seem to benefit slightly more in terms of elevated in-degree values in their personal networks, despite similar levels of investment as females. In contrast, for daily, low-cost religious practices requiring ongoing participation, both genders obtain similar increases in in-degree values through regular engagement. It becomes more challenging for women to increase their status in communities when the effort invested in religious rituals yields smaller rewards compared with the same effort by men, contributing to ongoing gender inequality. These findings highlight the importance of examining the particular characteristics of religious rituals and the gender disparities in the associated rewards.

Short-time mentoring - enhancing female medical students' intentions toward surgical careers.

BACKGROUND: Women pursuing a career in surgery or related disciplines are still in the minority, despite the fact that women compose at least half of the medical student population in most Western countries. Thus, recruiting and retaining female surgeons remains an important challenge to meet the need for surgeons and increase the quality of care. The participations were female medical students between their third and fifth academic year. In this study, we applied the well-established psychological theory of planned behavior (TPB) which suggests that the intention to perform a behavior (e.g. pursuing a career in surgery) is the most critical and immediate predictor of performing the behavior. We investigated whether a two-part short-mentoring seminar significantly increases students' intention to pursue a career in a surgical or related specialty after graduation. METHOD: The mentoring and role-model seminar was conducted at 2 days for 90 minutes by six inspiring female role models with a remarkable career in surgical or related disciplines. Participants (N = 57) filled in an online survey before (T0) and after the seminar (T1). A pre-post comparison of central TPB concept attitude towards the behavior, 2) occupational self-efficacy and 3) social norm) was conducted using a paired sampled t-test. A follow-up survey was administered 12 months later (T2). RESULTS: The mentoring seminar positively impacted female students' attitude towards a career in a surgical specialty. Female students reported a significantly increased positive attitude (p < .001) and significantly higher self-efficacy expectations (p < .001) towards a surgical career after participating in the mentoring seminar. Regarding their career intention after the seminar, female students declared a significantly higher intention to pursue a career in a surgical specialty after graduating (p < .001) and this effect seems to be sustainable after 1 year. CONCLUSION: For the first time we could show that short-mentoring and demonstrating role models in a seminar surrounding has a significant impact on female medical student decision´s to pursue a career in a surgery speciality. This concept may be a practical and efficient concept to refine the gender disparity in surgery and related disciplines.

Negative selection bias for women inclusion in a clinical trial.

INTRODUCTION: Despite the growing awareness towards the importance of adequate representation of women in clinical trials among patients treated with percutaneous coronary intervention (PCI), available evidence continues to demonstrate a skewed distribution of study populations in favour of men. METHODS AND RESULTS: In this pre-specified analysis from the MASTER DAPT screening log and trial, we aimed to investigate the existence of a negative selection bias for women inclusion in a randomized clinical trial. A total of 2847 consecutive patients who underwent coronary revascularization across 65 participating sites, during a median of 14 days, were entered in the screening log, including 1749 (61.4%) non-high bleeding risk (HBR) and 1098 (38.6%) HBR patients, of whom 109 (9.9%) consented for trial participation. Female patients were less represented in consented versus non-consented HBR patients (22% versus 30%, absolute standardized difference: 0.18) and among non-consented eligible versus consented eligible patients (absolute standardized difference 0.14). The observed sex gap was primarily due investigators' choice not to offer study participation to females because deemed at very high risk of bleeding and/or ischemic complications, and only marginally to a slightly higher propensity of females compared to males to refuse study participation. CONCLUSIONS: Female HBR patients undergoing PCI are less prevalent, but also less likely to participate in the trial than male patients, mainly due to investigators' preference.