UNASSIGNED: Despite significant advancements in closing the global gender gap, there is still much progress to be made, particularly in the field of science and scientific research. Numerous studies have addressed this issue and identified a variety of factors that contribute to gender asymmetries in research.
UNASSIGNED: This study aimed to identify the determinants of gender gaps in scientific research present in the most cited studies of the past ten years as a first step towards closing these differences. Through a systematic literature review that incorporated the Proknow-C Knowledge Development Process and Constructivism methodology.
UNASSIGNED: The results lead us to identify four dimensions to classify the determinants of the gaps in scientific research: academic supply, research policies, scientific production and researcher profile with their respective quantitative or qualitative indicators.
UNASSIGNED: As a potential basis for further modeling that offers greater analytical and correlational depth, as well as the identification of targeted strategies aimed at reducing gender gaps in research.

UNASSIGNED: Emergency departments the world over have seen substantial increases in the number of individuals presenting for mental health reasons. However, we have a limited understanding of their experiences of care. The aim of this review was to systematically examine and synthesise literature relating to the experiences of individuals presenting to emergency department for mental health reasons.
UNASSIGNED: We followed Pluye and Hong\'s seven-step approach to conducting a systematic mixed studies review. Studies were included if they investigated adult mental health experiences in emergency department from the users\' perspective. Studies describing proxy, carer/family or care provider experiences were excluded.
UNASSIGNED: Sixteen studies were included. Thematic synthesis identified three themes and associated subthemes. Theme 1 - ED staff can make-or-break and ED experience - comprised: Feeling understood and heard; Engaging in judgement-free interactions; Receiving therapeutic support; Being actively and passively invalidated for presenting to the ED; and Once a psych patient, always a psych patient. Theme 2 - Being in the ED environment is counter-therapeutic - comprised: Waiting for an \'extremely\' long time; and Lacking privacy. Theme 3 was Having nowhere else to go.
UNASSIGNED: The experiences described by individuals presenting to emergency department for mental health reasons were mostly poor. The results illustrate a need for increased mental health education and training for all emergency department staff. Employment of specialist and lived experience workers should also be prioritised to support more therapeutic relationships and emergency department environments. In addition, greater investment in mental health systems is required to manage the current crisis and ensure future sustainability.

UNASSIGNED: Racial minoritized children and youth with acquired brain injury (ABI) often experience multiple forms of discrimination. The purpose of this systematic review was to understand the racial disparities in health care among children and youth with ABI and their caregivers.
UNASSIGNED: Six international databases (Ovid Medline, Embase, Healthstar, Psychinfo, Scopus, and Web of Science) were systematically searched for peer-reviewed articles. Studies were screened by two researchers who also conducted the data extraction and quality appraisal. A narrative synthesis approach was used to analyze the data.
UNASSIGNED: Of the 8081 studies identified in the search, 34 met the inclusion criteria, which involved 838,052 children and youth with brain injuries (or caregivers representing them) across two countries. The following themes were noted in the studies in our review: (1) racial disparities in accessing care (i.e., diagnosis, hospital admission, length of stay, rehabilitation treatment); (2) racial disparities in ABI-related health outcomes (i.e., functional outcomes and mortality rates); and (3) factors affecting racial disparities (i.e., sources in injury, insurance and expenditures, and intersectionality).
UNASSIGNED: Our findings reveal the concerning racial disparities among children and youth with ABI. Further research should explore solutions for addressing such racial disparities and solutions to address them.
Racial minoritized youth with acquired brain injury experience many barriers and inequalities in accessing care and health care leaders should help to address such gaps and disparities in the health system.Clinicians should familiarize themselves with the common factors affecting racial disparities in acquired brain injury outcomes including sources of injury, types of insurance and cultural factors.Additional training in working with patients from racially diverse backgrounds and in providing culturally appropriate care among healthcare providers is needed.More efforts are needed to address racial disparities at the individual and structural levels that continue to exist in rehabilitation services for children and youth with acquired brain injury.

Sports, with their various social manifestations, exhibit racist structures and incidents. Physical education (PE) has the potential to serve as an environment to combat racism, but it can also perpetuate and (re)produce racist attitudes and behaviors. This study aimed to conduct a systematic review of national (German) and international literature concerning racism and anti-racism within the context of PE specifically from a students\' perspective. The research methodology followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standard and encompassed a four-step process: (1) searching 11 electronic databases using 70 keyword combinations in both German and English; (2) selecting studies based on five predetermined inclusion criteria; (3) evaluating the quality of selected studies using established appraisal tools; and (4) conducting descriptive and template analyses. Of 5,213 publications, 16 met the inclusion criteria, demonstrating diverse theoretical frameworks and methodological approaches. Five themes were constructed: \"How racism is understood\" (1); \"What students experience,\" encompassing discriminatory incidents in PE, sports, and daily life classified as racial stereotypes, prejudices, and everyday racism (2); and \"What physical education teachers (3)/Institutions (4)/researchers (5) can and should do.\" These themes provided recommendations for teachers, institutions, and researchers, including training and curriculum reforms. While valuable international literature was identified, no German PE specific publications were found emphasizing the necessity of a local (German) survey to comprehend students\' experiences, knowledge, and potential for anti-racism efforts. Such insights are crucial for shaping teacher-related training programs and policy demands in an informed and targeted manner.

OBJECTIVE: Machine learning (ML) approaches are an emerging alternative for healthcare risk prediction. We aimed to synthesise the literature on ML and classical regression studies exploring potential prognostic factors and to compare prediction performance for pre-eclampsia.
RESULTS: From 9382 studies retrieved, 82 were included. Sixty-six publications exclusively reported eighty-four classical regression models to predict variable timing of onset of pre-eclampsia. Another six publications reported purely ML algorithms, whilst another 10 publications reported ML algorithms and classical regression models in the same sample with 8 of 10 findings that ML algorithms outperformed classical regression models. The most frequent prognostic factors were age, pre-pregnancy body mass index, chronic medical conditions, parity, prior history of pre-eclampsia, mean arterial pressure, uterine artery pulsatility index, placental growth factor, and pregnancy-associated plasma protein A. Top performing ML algorithms were random forest (area under the curve (AUC) = 0.94, 95% confidence interval (CI) 0.91-0.96) and extreme gradient boosting (AUC = 0.92, 95% CI 0.90-0.94). The competing risk model had similar performance (AUC = 0.92, 95% CI 0.91-0.92) compared with a neural network. Calibration performance was not reported in the majority of publications. ML algorithms had better performance compared to classical regression models in pre-eclampsia prediction. Random forest and boosting-type algorithms had the best prediction performance. Further research should focus on comparing ML algorithms to classical regression models using the same samples and evaluation metrics to gain insight into their performance. External validation of ML algorithms is warranted to gain insights into their generalisability.

UNASSIGNED: Instruments to measure substance use stigma are emerging, however little is known regarding their psychometric properties. While research has evolved to view substance use stigma as a context sensitive international phenomenon that is embedded within cultures, validated self-report measures are lacking and comprehensive reviews of the existing measures are extremely limited. In this systematic review of substance use stigma and shame measures, we aim to contextualize results from existing research, lay the groundwork for future measurement development research, and provide a thorough resource for research scientists currently designing studies to measure substance use stigma.
UNASSIGNED: We searched three databases using Boolean search terms for psychometric evaluations of measures of substance use stigma and shame and evaluated the quality/psychometric properties using an adaptation of the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) systematic review guidelines.
UNASSIGNED: We identified 18 measures of substance use stigma. Overall, most measures had minimal psychometric assessments and none of the measures met all domains of the COSMIN measure quality criteria. However, most studies reported satisfactory factor analyses and internal consistency scores.
UNASSIGNED: Most measures of substance use stigma and shame had psychometric assessment across a limited range of criteria and no measures of structural substance use stigma were found. The most reported psychometric properties were structural validity and convergent validity. We suggest future researchers investigate test-retest reliability and cross-cultural validity for existing substance use stigma measures, as well as develop and evaluate novel measures assessing structural stigma of substance use.

Prognostic models provide an avenue to predict the risk of individual patients and support shared-decision making. Many prognostic models are published annually, and systematic reviews provide an avenue to collate the existing evidence behind prognostic models to determine whether a model demonstrates adequate predictive performance and is ready for real-world use. This article provides a brief step-by-step guide on how to conduct a systematic review and meta-analysis of prognostic model studies and how these reviews differ from systematic reviews of therapy and diagnosis.

UNASSIGNED: Stigma of dementia is one of the greatest challenges for people living with dementia. However, there is little research on the different types of stigma of dementia in the COVID-19 pandemic. The purpose of this scoping review is to synthesize the existing literature on dementia-related stigma (self, public, and structural stigma), during the pandemic.
UNASSIGNED: Guided by Arksey and O\'Malley\'s scoping review framework and PRISMA guidelines, CINAHL, EMBASE, Google Scholar, Medline, PsycINFO, and Web of Science were searched for English language literature from January 2020 to June 2023. Inclusion criteria consisted of peer-reviewed, original research articles addressing stigma of dementia during the COVID-19 pandemic. Thematic analysis was used to analyze the data and steps were taken to ensure rigor.
UNASSIGNED: Fifteen articles met our inclusion criteria. Four primary themes were identified including: 1) COVID-19 stereotypes and assumptions of dementia; 2) human rights issues and deprived dignity; 3) disparate access to health services and supports; and 4) cultural inequities and distrust.
UNASSIGNED: The COVID-19 pandemic has contributed to the stigmatization of people living with dementia. Further research is needed to develop, implement, and evaluate interventions targeted towards the different types of dementia-related stigma (including self, public, and structural stigma). Moreover, our findings highlight the need for more collaborative research that prioritizes the lived experience and input of diverse people living with dementia. Research partnerships with diverse people living with dementia are vital to improving future pandemic planning. Only through evidence-informed research and lived experience can we begin to fully address the different types of dementia-related stigma and enhance the quality of life of people living with dementia.

BACKGROUND: People with stigmatizing conditions associated with epilepsy encounter many difficulties in their daily lives and are more likely to have low self-esteem, low levels of hope, internalize negative attitudes, decrease adherence to treatment, and experience unemployment. The purpose of this study was to quantify the extent of perceived stigma and self-stigma among people with epilepsy.
METHODS: This systematic review and meta-analysis followed the Preferred Reporting Item Review and Meta-analysis (PRISMA) guideline. PubMed, PsycINFO, Web of Science, Cochrane Library, Google Scholar, and HINARI were major search databases. The included literature reports the prevalence of perceived stigma and self-stigma among people with epilepsy in East Africa. The quality of each study was evaluated using the Newcastle-Ottawa Quality Assessment Scale (NOS). Data were extracted using a Microsoft Excel spreadsheet, and data analysis was performed using STATA version 11. The pooled prevalence of perceived stigma and self-stigma was determined using a random effect model. Heterogeneity between studies was checked using the I2 statistical test. Publication bias was checked using Egger\'s statistical test and funnel plot.
RESULTS: The pooled prevalence of perceived stigma and self-stigma in people with epilepsy was 43.9 % with a 95 % CI (29.2, 58.7) and 41.2 % with a 95 % CI (12.1, 70.3), respectively. Based on the country, sub-group analysis revealed that the prevalence of perceived stigma among people with epilepsy shows a notable difference between the countries. In Ethiopia, the prevalence was 51.8 % with a 95 % CI of 29.8 to 73.8; in Uganda, 39.4 % with a 95 % CI of 27.1 to 51.3; in Tanzania, 27.4 % with a 95 % CI of 27.9 to 36.9; and in Kenya, 33.2 % with a 95 % CI of 28.2 to 38.2.
CONCLUSIONS: Roughly 30 % of people with epilepsy experience self-stigma, while approximately 44 % of people with epilepsy experience perceived stigma. As a result, the relevant authorities ought to focus on reducing the prevalence of stigma among people who have epilepsy.

UNASSIGNED: To synthesize the influencing factors of the stigma of nursing students towards people with mental illness (PMI).
UNASSIGNED: The stigma of nursing students towards PMI may affect their career choices and negatively impact people seeking health services. While many studies have examined the educational aspects of mental health, they often overlook the multiple dimensions of possible factors influencing nursing students\' perceptions.
UNASSIGNED: A mixed-method systematic review using the Framework Integrating Normative Influences on Stigma (FINIS).
UNASSIGNED: We will search six databases, including PubMed, Web of Science, Cochrane Library, EMBASE, CINAHL and PsycINFO. The reference list of the included literature will be thoroughly examined to identify if any additional studies meet the criteria. Two authors will independently screen all titles, abstracts, full text and extract data. The Mixed-method Appraisal Tool will be used to assess quality. The extracted data will be disposed to different levels, including micro (demographic characteristics, disease characteristics), meso (social networks, treatment systems) and macro (media images, national context) to comply with the FINIS.
UNASSIGNED: This systematic review aims to comprehensively analyze the influencing factors of the stigma of nursing students towards PMI, providing a reference basis for anti-stigma intervention measures.Prospero registration number: CRD42022374419.