Disparities in Tuberculosis Incidence by Race and Ethnicity Among the U.S.-Born Population in the United States, 2011 to 2021 : An Analysis of National Disease Registry Data.

BACKGROUND: Elevated tuberculosis (TB) incidence rates have recently been reported for racial/ethnic minority populations in the United States. Tracking such disparities is important for assessing progress toward national health equity goals and implementing change. OBJECTIVE: To quantify trends in racial/ethnic disparities in TB incidence among U.S.-born persons. DESIGN: Time-series analysis of national TB registry data for 2011 to 2021. SETTING: United States. PARTICIPANTS: U.S.-born persons stratified by race/ethnicity. MEASUREMENTS: TB incidence rates, incidence rate differences, and incidence rate ratios compared with non-Hispanic White persons; excess TB cases (calculated from incidence rate differences); and the index of disparity. Analyses were stratified by sex and by attribution of TB disease to recent transmission and were adjusted for age, year, and state of residence. RESULTS: In analyses of TB incidence rates for each racial/ethnic population compared with non-Hispanic White persons, incidence rate ratios were as high as 14.2 (95% CI, 13.0 to 15.5) among American Indian or Alaska Native (AI/AN) females. Relative disparities were greater for females, younger persons, and TB attributed to recent transmission. Absolute disparities were greater for males. Excess TB cases in 2011 to 2021 represented 69% (CI, 66% to 71%) and 62% (CI, 60% to 64%) of total cases for females and males, respectively. No evidence was found to indicate that incidence rate ratios decreased over time, and most relative disparity measures showed small, statistically nonsignificant increases. LIMITATION: Analyses assumed complete TB case diagnosis and self-report of race/ethnicity and were not adjusted for medical comorbidities or social determinants of health. CONCLUSION: There are persistent disparities in TB incidence by race/ethnicity. Relative disparities were greater for AI/AN persons, females, and younger persons, and absolute disparities were greater for males. Eliminating these disparities could reduce overall TB incidence by more than 60% among the U.S.-born population. PRIMARY FUNDING SOURCE: Centers for Disease Control and Prevention.

Spatial and temporal differences and convergence analysis of multidimensional relative poverty in ethnic areas.

Reducing multidimensional relative poverty is one of the important issues in the current global poverty governance field. This article takes 12 ethnic regions in China as the research object and constructs a multidimensional relative poverty measurement system. The calculated multidimensional relative poverty index is decomposed according to provinces, cities, dimensions, and indicators. Then, the Dagum Gini coefficient and convergence analysis are used to analyze spatiotemporal heterogeneity and convergence characteristics. The results show that the multi-dimensional relative poverty situation of various provinces in ethnic minority areas has improved from 2012 to 2021, among which Tibet province is the most serious and Shaanxi is the best. According to the analysis of convergence, it was observed that there is no σ-convergence of multidimensional relative poverty in ethnic areas in general, and there is absolute ß-convergence in general and in the southwest and northwest regions, and there is no absolute ß-convergence in the northeast region. Based on this, policy recommendations for reducing multidimensional relative poverty are proposed at the end of the article. Compared with previous studies, this article focuses on ethnic regions that are easily overlooked. Starting from the dimensions of economy, social development, and ecological environment, the poverty measurement system has been enriched.

Disadvantaged groups have greater spatial access to pharmacies in New York state.

BACKGROUND: The accessibility of pharmacies has been associated with overall health and wellbeing. Past studies have suggested that low income and racial minority communities are underserved by pharmacies. However, the literature is inconsistent in finding links between area-level income or racial and ethnic composition and access to pharmacies. Here we aim to assess area-level spatial access to pharmacies across New York State (NYS), hypothesizing that Census Tracts with higher poverty rates and higher percentages of Black and Hispanic residents would have lower spatial access. METHODS: The population weighted mean shortest road network distance (PWMSD) to a pharmacy in 2018 was calculated for each Census Tract in NYS. This statistic was calculated from the shortest road network distance to a pharmacy from the centroid of each Census block within a tract, with the mean across census blocks weighted by the population of the census block. Cross-sectional analyses were conducted to assess links between Tract-level socio demographic characteristics and Tract-level PWMSD to a pharmacy. RESULTS: Overall the mean PWMSD to a pharmacy across Census tracts in NYS was 2.07 Km (SD = 3.35, median 0.85 Km). Shorter PWMSD to a pharmacy were associated with higher Tract-level % poverty, % Black/African American (AA) residents, and % Hispanic/Latino residents and with lower Tract-level % of residents with a college degree. Compared to tracts in the lowest quartile of % Black/AA residents, tracts in the highest quartile had a 70.7% (95% CI 68.3-72.9%) shorter PWMSD to a pharmacy. Similarly, tracts in the highest quartile of % poverty had a 61.3% (95% CI 58.0-64.4%) shorter PWMSD to a pharmacy than tracts in the lowest quartile. CONCLUSION: The analyses show that tracts in NYS with higher racial and ethnic minority populations and higher poverty rates have higher spatial access to pharmacies.

Assessing ascertainment bias in atrial fibrillation across US minority groups.

The aim of this study is to define atrial fibrillation (AF) prevalence and incidence rates across minority groups in the United States (US), to aid in diversity enrollment target setting for randomized controlled trials. In AF, US minority groups have lower clinically detected prevalence compared to the non-Hispanic or Latino White (NHW) population. We assess the impact of ascertainment bias on AF prevalence estimates. We analyzed data from adults in Optum's de-identified Clinformatics® Data Mart Database from 2017-2020 in a cohort study. Presence of AF at baseline was identified from inpatient and/or outpatient encounters claims using validated ICD-10-CM diagnosis algorithms. AF incidence and prevalence rates were determined both in the overall population, as well as in a population with a recent stroke event, where monitoring for AF is assumed. Differences in prevalence across cohorts were assessed to determine if ascertainment bias contributes to the variation in AF prevalence across US minority groups. The period prevalence was respectively 4.9%, 3.2%, 2.1% and 5.9% in the Black or African American, Asian, Hispanic or Latino, and NHW population. In patients with recent ischemic stroke, the proportion with AF was 32.2%, 24.3%, 25%, and 24.5%, respectively. The prevalence of AF among the stroke population was approximately 7 to 10 times higher than the prevalence among the overall population for the Asian and Hispanic or Latino population, compared to approximately 5 times higher for NHW patients. The relative AF prevalence difference of the Asian and Hispanic or Latino population with the NHW population narrowed from respectively, -46% and -65%, to -22% and -24%. The study findings align with previous observational studies, revealing lower incidence and prevalence rates of AF in US minority groups. Prevalence estimates of the adult population, when routine clinical practice is assumed, exhibit higher prevalence differences compared to settings in which monitoring for AF is assumed, particularly among Asian and Hispanic or Latino subgroups.

Big data empowerment: Digital transformation and governance of minority shareholders: Evidence from China.

Based on the analysis of data from listed enterprises in China between 2011 and 2022, we investigate the influence of digital transformation on the governance efficiency for minority shareholders. The results show that the extent of digital transformation exert a negative effect on the agency costs incurred from related-party transactions. The mechanism examination elucidates that digital transformation augments the governance efficiency for minority shareholders by boosting attendance at shareholders' meetings and enhancing the exit threat for minority shareholders. Subsequent analysis reveals that non-state-owned enterprises, compared to state-owned enterprises, exhibit a more pronounced effect in diminishing the second type of agency costs through digital transformation. Furthermore, the impact of digital transformation in curtailing agency costs is more significant in the eastern regions than central and western regions. The better the equity checks and balances in listed enterprises, the more effective digital transformation is in reducing agency costs. This study offers valuable insights for bolstering the governance capacity of minority shareholders in the context of digital transformation.

High-resolution KIR and HLA genotyping in three Chinese ethnic minorities reveals distinct origins.

Polymorphism of killer-cell immunoglobulin-like receptors (KIRs) and their HLA class I ligands impacts the effector activity of cytotoxic NK cell and T cell subsets. Therefore, understanding the extent and implications of KIR and HLA class I genetic polymorphism across various populations is important for immunological and medical research. In this study, we conducted a high-resolution investigation of KIR and HLA class I diversity in three distinct Chinese ethnic minority populations. We studied the She, Yugur, and Tajik, and compared them with the Zhejiang Han population (Zhe), which represents the majority Southern Han ethnicity. Our findings revealed that the Tajik population exhibited the most diverse KIR copy number, allele, and haplotype diversity among the four populations. This diversity aligns with their proposed ancestral origin, closely resembling that of Iranian populations, with a relatively higher presence of KIR-B genes, alleles, and haplotypes compared with the other Chinese populations. The Yugur population displayed KIR distributions similar to those of the Tibetans and Southeast Asians, whereas the She population resembled the Zhe and other East Asians, as confirmed by genetic distance analysis of KIR. Additionally, we identified 12.9% of individuals across the three minority populations as having KIR haplotypes characterized by specific gene block insertions or deletions. Genetic analysis based on HLA alleles yielded consistent results, even though there were extensive variations in HLA alleles. The observed variations in KIR interactions, such as higher numbers of 2DL1-C2 interactions in Tajik and Yugur populations and of 2DL3-C1 interactions in the She population, are likely shaped by demographic and evolutionary mechanisms specific to their local environments. Overall, our findings offer valuable insights into the distribution of KIR and HLA diversity among three distinct Chinese ethnic minority populations, which can inform future clinical and population studies.

Racial and ethnic disparities in access to community-based perinatal mental health programs: results from a cross-sectional survey.

BACKGROUND: Perinatal mental health is a major public health problem that disproportionately affects people from racial and ethnic minority groups. Community-based perinatal mental health programs, such as peer support groups, are essential tools for the prevention and treatment of perinatal depression. Yet, little is known about racial and ethnic disparities in accessibility and utilization of community-based perinatal mental health programs. METHODS: We conducted a cross-sectional study using an online survey with program administrators representing perinatal mental health community-based services and support programs throughout New Jersey. Descriptive analysis and mapping software was used to analyze the data. RESULTS: Thirty-three program administrators completed the survey. Results showed substantial racial and ethnic disparities in availability and utilization of community-based programs. In the majority of programs, Black, Hispanic, and Asian individuals made up less than 10% of total annual participants and less than 10% of facilitators. There were also geographic disparities in program accessibility and language availability across counties. Program administrators identified mental health stigma, lack of support from family, fear of disclosure of mental health challenges, social determinants, lack of language-concordant options in programs, and limited awareness of programs in the community as significant barriers to participation of racial and ethnic minorities. Strategies to address barriers included adding language options, improving program outreach, and increasing diversity of facilitators. CONCLUSIONS: This study provides new evidence on racial and ethnic disparities in access to community-based perinatal mental health programs. Efforts to build the resources and capacities of community-based programs to identify equity gaps, increase diversity of staff, and address barriers to participation is critical to reducing racial and ethnic inequities in perinatal mental health.

Teacher's social desirability bias and Migrant students: A study on explicit and implicit prejudices with a list experiment.

Scholarly research has consistently shown that teachers present negative assessments of and attitudes toward migrant students. However, previous studies have not clearly addressed the distinction between implicit and explicit prejudices, or identified their underlying sources. This study identifies the explicit and implicit prejudices held by elementary and middle school teachers regarding the learning abilities of an ethnic minority group: Haitian students within the Chilean educational system. We use a list experiment to assess how social desirability and intergroup attitudes toward minority students influence teachers' prejudices. The findings reveal that teachers harbor implicit prejudices towards Haitian students and are truthful in reporting their attitudes, thereby contradicting the desirability bias hypothesis. We suggest that teachers rely on stereotypes associated with the students' nationality when assessing Haitian students' learning abilities. The implications of these results are discussed in relation to theories grounded in stereotypes and intergroup attitudes.

Beyond intensive mothering: Racial/ethnic variation in maternal time with children.

Despite substantial evidence that racial/ethnic minority communities exhibit distinct mothering practices, research on racial/ethnic differences in how mothers spend time with their children is scant. Using the 2003-2019 American Time Use Survey (N = 44,372), this study documents variations in the amounts of childcare and copresent time spent in various activities with residential children aged 0-17 across White, Black, Latina, and Asian mothers. The results show that racial/ethnic differences in maternal time spent with children are partly due to socioeconomic differences but still exist when these factors are held constant, indicating patterns that reflect each minority community's mothering norms. Compared to mothers in other groups, Black mothers spend more copresent time with children in religious activities, although less in terms of the total amount of time. Latina mothers spend more copresent time with elementary-school-age children while engaging in daily routines. Asian mothers spend more time teaching and eating with elementary-school-age or younger children.

GSB: GNGS and SAG-BiGRU network for malware dynamic detection.

With the rapid development of the Internet, the continuous increase of malware and its variants have brought greatly challenges for cyber security. Due to the imbalance of the data distribution, the research on malware detection focuses on the accuracy of the whole data sample, while ignoring the detection rate of the minority categories' malware. In the dataset sample, the normal data samples account for the majority, while the attacks' malware accounts for the minority. However, the minority categories' attacks will bring great losses to countries, enterprises, or individuals. For solving the problem, this study proposed the GNGS algorithm to construct a new balance dataset for the model algorithm to pay more attention to the feature learning of the minority attacks' malware to improve the detection rate of attacks' malware. The traditional malware detection method is highly dependent on professional knowledge and static analysis, so we used the Self-Attention with Gate mechanism (SAG) based on the Transformer to carry out feature extraction between the local and global features and filter irrelevant noise information, then extracted the long-distance dependency temporal sequence features by the BiGRU network, and obtained the classification results through the SoftMax classifier. In the study, we used the Alibaba Cloud dataset for malware multi-classification. Compared the GSB deep learning network model with other current studies, the experimental results showed that the Gaussian noise generation strategy (GNGS) could solve the unbalanced distribution of minority categories' malware and the SAG-BiGRU algorithm obtained the accuracy rate of 88.7% on the eight-classification, which has better performance than other existing algorithms, and the GSB model also has a good effect on the NSL-KDD dataset, which showed the GSB model is effective for other network intrusion detection.

Federal Retail Pharmacy Program Contributions to Bivalent mRNA COVID-19 Vaccinations Across Sociodemographic Characteristics - United States, September 1, 2022-September 30, 2023.

The Federal Retail Pharmacy Program (FRPP) facilitated integration of pharmacies as partners in national efforts to scale up vaccination capacity during the COVID-19 pandemic emergency response. To evaluate FRPP's contribution to vaccination efforts across various sociodemographic groups, data on COVID-19 bivalent mRNA vaccine doses administered during September 1, 2022-September 30, 2023, were evaluated from two sources: 1) FRPP data reported directly to CDC and 2) jurisdictional immunization information systems data reported to CDC from all 50 states, the District of Columbia, U.S. territories, and freely associated states. Among 59.8 million COVID-19 bivalent vaccine doses administered in the United States during this period, 40.5 million (67.7%) were administered by FRPP partners. The proportion of COVID-19 bivalent doses administered by FRPP partners ranged from 5.9% among children aged 6 months-4 years to 70.6% among adults aged 18-49 years. Among some racial and ethnic minority groups (e.g., Hispanic or Latino, non-Hispanic Black or African American, non-Hispanic Native Hawaiian or other Pacific Islander, and non-Hispanic Asian persons), ≥45% of COVID-19 bivalent vaccine doses were administered by FRPP partners. Further, in urban and rural areas, FRPP partners administered 81.6% and 60.0% of bivalent vaccine doses, respectively. The FRPP partnership administered approximately two thirds of all bivalent COVID-19 vaccine doses in the United States and provided vaccine access for persons across a wide range of sociodemographic groups, demonstrating that this program could serve as a model to address vaccination services needs for routine vaccines and to provide health services in other public health emergencies.

Exploring the barriers to, and importance of, participant diversity in early-phase clinical trials: an interview-based qualitative study of professionals and patient and public representatives.

OBJECTIVES: To explore the importance of, and barriers to achieving, diversity in early-phase clinical trials. DESIGN: Qualitative interviews analysed using thematic analysis. SETTING AND PARTICIPANTS: Five professionals (clinical researchers and methodologists) and three patient and public representatives (those with experience of early-phase clinical trials and/or those from ethnic minority backgrounds) were interviewed between June and August 2022. Participants were identified via their institutional web page, existing contacts or social media (eg, X, formerly known as Twitter). RESULTS: Professionals viewed that diversity is not currently considered in all early-phase clinical trials but felt that it should always be taken into account. Such trials are primarily undertaken at a small number of centres, thus limiting the populations they can access. Referrals from clinicians based in the community may increase diversity; however, those referred are often not from underserved groups. Referrals may be hindered by the extra resources required to approach and recruit underserved groups and participants often having to undertake 'self-driven' referrals. Patient and public representatives stated that diversity is important in research staff and that potential participants should be informed of the need for diversity. Those from underserved groups may require clarification regarding the potential harms of a treatment, even if these are unknown. Education may improve awareness and perception of early-phase clinical trials. We provide 14 recommendations to improve diversity in early-phase clinical trials. CONCLUSIONS: Diversity should be considered in all early-phase trials. Consideration is required regarding the extent of diversity and how it is addressed. The increased resources needed to recruit those from underserved groups may warrant funders to increase the funds to support the recruitment of such participants. The potential harms and societal benefits of the research should be presented to potential participants in a balanced but accurate way to increase transparency.

Community-based organizations at the front lines of the COVID-19 pandemic: Strategies for building equitable COVID-19 vaccine uptake and distribution.

The coronavirus disease 2019 (COVID-19) pandemic highlighted the disproportionate negative health outcomes faced by racial and ethnic minority communities as a result of various factors that affect health equity. In response to the COVID-19 pandemic and the overwhelming disparities within communities, public health agencies have aimed to establish partnerships with community-based organizations (CBOs) to distribute information about COVID-19 to populations expressing vaccine hesitancy, recognizing that they are necessary partners in ensuring and maintaining equitable distribution of resources. In line with the National Foundation for the Centers for Disease Control and Prevention (CDC Foundation)'s Health Equity Strategy, the CDC Foundation's Response, Crisis and Preparedness Unit (RCPU) team is responsible for managing the portfolio of more than 110 grants to CBOs across 14 grant opportunities by private and federal funding that supports the COVID-19 response. The goal is to promote activities, including support for sharing of accurate, culturally appropriate vaccine information to address concerns and the development and strengthening of strategic partnerships to support effective community outreach and vaccination. Most, if not all of the CBOs use similar techniques to address equitable vaccine uptake and distribution by partnering or becoming vaccine providers via mobile or pop-up clinics, engaging community health workers, door-to-door canvasing, conducting listening sessions, providing incentives, and hosting community events and communications campaigns. As of June 23, 2022, the funded CBOs have collectively reached over 14.8 million individuals with COVID-19 safety and vaccine education messaging, administered 288,197 COVID-19 vaccinations within their communities, and partnered with 416 public health jurisdictions and 853 community organizations. Two case studies are provided to share specifics on strategies and activities done toward providing equitable information and vaccine distribution. This rapid and flexible grant management process al-lowed CBOs to focus on the areas of greatest need in their community and select strategies that would be well-received by community members.

Does social empathy moderate fear-induced minority blaming during the COVID-19 pandemic?

This study investigated the minority-blaming phenomenon in South Korea during the COVID-19 pandemic. The pandemic amplified fear, discrimination, and structural inequalities among minoritized groups during the COVID-19 pandemic. This study identified who was blamed for the spread of COVID-19 and the sociodemographic characteristics associated with this blame. Additionally, it examines the roles of individual and interpersonal fear and social empathy in minority blaming. We measured the fear of COVID-19 at both individual and interpersonal levels. Individual fear was assessed through personal health concerns, while the fear of transmitting the virus to others was measured as interpersonal fear. Social empathy was defined by macro perspective-taking, cognitive empathy, self-other awareness, and affective responses. The study was conducted through an online survey involving a quota sample of 1,500 South Korean participants aged 19-69 years, based on age, gender, and residential area. The response was collected in December 2020, when mass infections in specific communities received attention from mass and social media before the national spread of the COVID-19 pandemic. Analytical strategies, including OLS and hierarchical regression models, were employed to examine the roles of socioeconomic factors, individual and interpersonal fear, and social empathy in minority blaming. This study found varying correlations between sociodemographic factors and attitudes toward ethnic, religious, sexual, economic, and age-minority groups. Individual fear of contracting COVID-19 was associated with increased blame across all minority groups. In contrast, interpersonal fear was associated with increased blame only for ethnic and religious minority groups. Similarly, social empathy presented mixed associations, as it displayed a buffering role on blaming ethnic, religious, and sexual minorities when considered alongside interpersonal fear, yet mildly intensified blame for economic and age minorities. These findings provide an understanding on fear-induced minority blaming during the pandemic and the potential role of social empathy in mitigating blame.

A Qualitative Analysis of Knowledge Levels, Perceived Susceptibility, and Perceived Severity Surrounding Anal Cancer and Human Papillomavirus.

INTRODUCTION: When examining health literacy and disease specific knowledge levels across ethnicities and communities, ethnic minority groups are known to be at a higher risk of being below the average health literacy threshold which is a factor linked to poor health status and higher mortality rates. This study examined disease specific knowledge levels, perceived severity, and perceived susceptibility surrounding anal cancer and HPV-related screening behaviors. METHODS: The following research questions were explored: (1) "What are the common themes and/or beliefs when asked about anal cancer, HPV, and preventive screening?" and (2) "What are the common themes and beliefs surrounding the severity and susceptibility of contracting anal cancer?". This study utilized a cross-sectional design to survey 26 individuals regarding their knowledge level and perspectives regarding anal cancer and HPV. An 8-question survey was developed de novo based on an application of the Health Belief Model (HBM) elements. This study employed thematic analysis to explore critical themes to construct a model to understand knowledge levels, attitudes, and risk perceptions regarding anal cancer and intention to participate in preventive screenings. The fundamental attitudes and themes related to anal cancer risk and intention to participate in preventative screenings were elicited using a qualitative descriptive technique. Coded data was utilized to analyze themes based on (1) knowledge and (2) perceived risk, both severity and susceptibility. RESULTS: Overall, the findings indicate very low levels of knowledge regarding screening, anal cancer, and HPV across all genders. The low levels of anal cancer and HPV knowledge were seen in 13 coded segments (50% of surveys) which showed no familiarity with or comprehension of HPV, and 4 coded segments indicated no familiarity with anal cancer. In addition, 15 respondents (57%) had low or no preventive or screening-related knowledge. While some respondents (46%) illustrated high perceived severity for anal cancer, only 23% indicated high perceived susceptibility for anal cancer. CONCLUSION: The results from this study may be used to inform practitioners, providers, and policymakers in developing interventions addressing low levels of understanding and disease specific knowledge surrounding anal cancer in support of creating a standardized health screening procedure.

Promoting diversity through exploring and addressing "achievement/opportunity gap" in nursing education: A call to action.

Promoting diversity, equity, inclusion, and belonging in nursing education is a contemporary issue. The purpose of this paper is to iterate a call to action for exploring and addressing achievement/opportunity gap in nursing education and propose strategies to address this gap in order to advance diversity, equity, inclusion, and belonging in educational institutions. Achievement/opportunity gap is an academic performance difference among students based on their socioeconomic status, age, race, ethnicity, and other demographic and sociocultural variables, and can lead to lack of career readiness among students. Four strategies are offered to address the achievement/opportunity gap in nursing education which includes a) explicit exploration of the gap to gather baseline information, b) taking an intersectional approach to examine differences in learning styles, beliefs, values, and learning needs of underrepresented and minority student populations, c) offering extensive co-designed preparatory programs to students who may be more prone to encounter this gap, and d) creating support communities for students to foster their academic performance.

Developing and Testing the Usability of a Novel Child Abuse Clinical Decision Support System: Mixed Methods Study.

BACKGROUND: Despite the impact of physical abuse on children, it is often underdiagnosed, especially among children evaluated in general emergency departments (EDs) and those belonging to racial or ethnic minority groups. Electronic clinical decision support (CDS) can improve the recognition of child physical abuse. OBJECTIVE: We aimed to develop and test the usability of a natural language processing-based child abuse CDS system, known as the Child Abuse Clinical Decision Support (CA-CDS), to alert ED clinicians about high-risk injuries suggestive of abuse in infants' charts. METHODS: Informed by available evidence, a multidisciplinary team, including an expert in user design, developed the CA-CDS prototype that provided evidence-based recommendations for the evaluation and management of suspected child abuse when triggered by documentation of a high-risk injury. Content was customized for medical versus nursing providers and initial versus subsequent exposure to the alert. To assess the usability of and refine the CA-CDS, we interviewed 24 clinicians from 4 EDs about their interactions with the prototype. Interview transcripts were coded and analyzed using conventional content analysis. RESULTS: Overall, 5 main categories of themes emerged from the study. CA-CDS benefits included providing an extra layer of protection, providing evidence-based recommendations, and alerting the entire clinical ED team. The user-centered, workflow-compatible design included soft-stop alert configuration, editable and automatic documentation, and attention-grabbing formatting. Recommendations for improvement included consolidating content, clearer design elements, and adding a hyperlink with additional resources. Barriers to future implementation included alert fatigue, hesitancy to change, and concerns regarding documentation. Facilitators of future implementation included stakeholder buy-in, provider education, and sharing the test characteristics. On the basis of user feedback, iterative modifications were made to the prototype. CONCLUSIONS: With its user-centered design and evidence-based content, the CA-CDS can aid providers in the real-time recognition and evaluation of infant physical abuse and has the potential to reduce the number of missed cases.

Typologies of Family Dependency Treatment Court Participants: Parental Characteristics and Differential Child Placement Outcomes.

Background: Family Dependency Treatment Court (FDTC) is a problem-solving court for parents who have child welfare involvement and designed to address parental substance misuse by providing treatment and wrap-around services, with the goal of reunifying parents with their children. Objectives: This study aimed to identify different classes of FDTC parents and compare how child placement outcomes differ by class. Parental characteristics and permanent placement outcomes for 354 parents participating in a Central Florida FDTC were assessed using administrative data. An exploratory latent class analysis was conducted to classify parents. Results: Results revealed three distinct classes of FDTC participants: 1) co-occurring issues, 2) racial/ethnic minority participants, and 3) prescription opioid, meth, and heroin users. Regression analyses showed that parents with co-occurring issues were over two times more likely to achieve permanency (OR = 2.05, p < .05), and were two times less likely to terminate their parental rights (TPR) compared to the other two classes. Conclusions: Implications for tailoring FDTC procedures to parents' individual needs, combating racial/ethnic disparities in access to services and placement outcomes, and improved child welfare and placement outcomes are discussed.

A review of the current policies and guidance regarding Apgar scoring and the detection of jaundice and cyanosis concerning Black, Asian and ethnic minority neonates.

BACKGROUND: Ethnic inequalities in maternal and neonatal health in the UK are well documented. Concerns exist regarding the use of skin colour in neonatal assessments. Healthcare professionals should be trained to recognise symptoms of diverse skin tones, and comprehensive, and inclusive guidance is necessary for the safe assessment of all infants. Disparities in healthcare provision have been emphasised during the COVID-19 pandemic, and additional research is needed to determine whether such policies adequately address ethnic minority neonates. METHODS: A desktop search included searches of guidance produced for the United Kingdom (UK). Further searches of the Cochrane and World Health Organization (WHO) were used to identify any international guidance applicable in the UK context. RESULTS: Several policies and one training resource used descriptors 'pink,' 'pale,' 'pallor,' and 'blue' about neonatal skin and mucous membrane colour. No policies provided specific guidance on how these colour descriptors may appear in neonates with different skin pigmentation. Only the NICE guidance and HEE e-learning resource acknowledged the challenges of assessing jaundice in infants with diverse skin tones, while another guideline noted differences in the accuracy of bilirubin measurements for the assessment of jaundice. Three policies and one training resource advised against relying on visual observation of skin colour when diagnosing neonatal conditions. The training resource included images of ethnic minority neonates, although most images included white infants. CONCLUSIONS: Inadequate consideration of ethnicity in UK policy and training perpetuates disparities, leading to inaccurate assessments. A review is needed for inclusivity in neonatal care, regardless of skin pigmentation.