Promoting anti-racism in the legal system: an application of the STYLE framework.

Racism is a critical social problem, and we present a framework to guide professionals in engaging in anti-racist practices. Professionals on the frontlines in psychology and related fields such as social work and public health have a responsibility to engage in anti-racist practices. Part of the professional role must be to advocate for justice through increased proximity to the issues and engagement in anti-oppressive practices. The current discourse introduces a framework through which people working in psychology and other related professions can promote anti-racism work, highlighting the legal system for illustrative purposes. While some professionals in psychology may not have direct experience with the legal system, many of the individuals served by psychologists do (e.g., clients/patients, students, community members). Our framework is represented by the acronym STYLE (Self-examination, Talk about racism, Yield time to anti-racism work, Learn about structural racism, Evaluate policies and practices). The goal of STYLE is to expand anti-racism science and practice within psychology and related fields. We describe new roles for professionals in dismantling health inequities and offer specific pathways to develop critical partnerships toward this aim. STYLE explicitly encourages active, intentional involvement of affected community members in the development and evaluation of approaches to health services. To achieve equity and to promote individual and organizational growth in anti-racism and ultimately anti-oppression work, professionals must focus on changing their STYLE.

Disparities in Prehospital Non-Traumatic Pain Management.

Introduction: While prior research has identified racial disparities in prehospital analgesia for traumatic pain, little is known about non-traumatic pain. Using a national prehospital dataset, we sought to evaluate for racial and ethnic disparities in analgesia given by EMS for non-traumatic pain.Methods: We analyzed the 2018 and 2019 data from the ESO Data Collaborative, a collection of de-identified prehospital electronic health records from nearly 1,300 participating EMS agencies in the US. We included all transported, adult, non-traumatic encounters with a primary or secondary impression of a pain complaint, and we stratified encounters based on race and ethnicity as recorded by the EMS clinicians. We performed a mixed model analysis, modeling EMS agency as a random intercept and adjusting for age, sex, pain location, level of service, location of incident, and highest pain score. With non-Hispanic White patients as the reference group, we then evaluated the association between race/ethnicity and receiving any pain medication (acetaminophen, non-steroidal anti-inflammatories, or opioids), receiving opioid pain medication, and receiving pain medication within 20 minutes of EMS arrival.Results: We included 1,035,486 patients; 67.5% non-Hispanic White, 26.8% Black, 4.9% Hispanic, 0.5% Asian, 0.1% Native Hawaiian or Other Pacific Islander, and 0.2% American Indian or Alaska Native patients. 4.7% of patients received pain medications. Compared to White patients (5.1%), Black patients were less likely to receive pain medication (3.3%, aOR 0.7; 95% CI 0.7-0.7) and Hispanics were more likely to receive pain medication (7.6%, aOR 1.5; 95% CI 1.4-1.6). Black patients were also less likely to receive opioids (1.8% for Black v 3.0% for White, aOR 0.7; 95% CI 0.6-0.7), while Hispanic patients were more likely to receive opioids (4.9%, aOR 1.4; 95% CI 1.3-1.5). The odds of receiving pain medication within 20 minutes was lower for Black patients (aOR 0.9; 95% CI 0.8-0.95) but no different for Hispanic patients (aOR 1.0; 95% CI 0.9-1.1), when compared to White patients.Conclusion: Pain medication administration is uncommon for non-traumatic pain complaints. While Black patients were less likely than White patients to receive pain medications and receive pain medication within 20 minutes, Hispanics were more likely to receive pain medications.

Untold stories: Emergency medicine residents' experiences caring for diverse patient populations.

OBJECTIVES: The Accreditation Council for Graduate Medical Education expects specialties to teach and assess proficiency in culturally competent care. However, little guidance has emerged to achieve these goals. Clinical training within socioeconomically disparate settings may provide an experiential learning opportunity. We sought to qualitatively explore resident experiences working in the generic clinical learning environments (i.e., exposure to socioeconomically diverse patients across different training sites) and how it shapes cultural competency-related skill development. METHODS: Residents were recruited from emergency medicine (EM) programs. We used purposeful sampling across all postgraduate years and elicited experiences related to working at the different sites related to cultural identity, frustrating patient encounters, vulnerable populations, and development of health disparities/social determinants of health knowledge. Individual structured interviews were conducted via phone between May and December 2016. Interviews were audiotaped, transcribed, anonymized, and analyzed using systematic and iterative coding methods. RESULTS: Twenty-four interviews revealed three main themes. EM residents' experiences caring for patients across sites shaped their understanding of: (1) potential patient attributes that affected the clinical encounter, (2) difficulties in building rapport had adverse effect on the clinical evaluation, and (3) residency program and training experiences shaped their clinical preparedness and willingness to work in underserved areas. CONCLUSION: Assessing the impact disparate clinical setting exposures have on trainees' preparedness to care for socioeconomically diverse patients can provide valuable insight for medical educators into barriers and facilitators to delivering optimal learning and patient care. Participants provided a breadth of stories illuminating their real-world consciousness and competency with meeting the needs of diverse populations and their access to varied educational outlets to grapple with the disparities they observed. More research is needed to uncover effective strategies to help residents thrive and feel more prepared to care for diverse populations.

A Revised ICD-10-CM Surveillance Case Definition for Injury-related Emergency Department Visits.

Background-Administrative data from medical claims are often used for injury surveillance. Effective October 1, 2015, hospitals covered by the Health Insurance Portability and Accountability Act were required to use the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) to report medical information in administrative data. In 2017, the National Center for Health Statistics (NCHS) and the National Center for Injury Prevention and Control (NCIPC) published a proposed ICD-10-CM surveillance case definition for injuryrelated emergency department (ED) visits. At the time, ICD-10-CM coded data were not available for testing. When data became available, NCHS and NCIPC collaborated with the Council of State and Territorial Epidemiologists and epidemiologists from state and local health departments to test and update the proposed definition. This report summarizes the results and presents the 2021 revised ICD-10-CM surveillance case definition.

Evidence-Based Assessment of Genes in Dilated Cardiomyopathy.

BACKGROUND: Each of the cardiomyopathies, classically categorized as hypertrophic cardiomyopathy, dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy, has a signature genetic theme. Hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy are largely understood as genetic diseases of sarcomere or desmosome proteins, respectively. In contrast, >250 genes spanning >10 gene ontologies have been implicated in DCM, representing a complex and diverse genetic architecture. To clarify this, a systematic curation of evidence to establish the relationship of genes with DCM was conducted. METHODS: An international panel with clinical and scientific expertise in DCM genetics evaluated evidence supporting monogenic relationships of genes with idiopathic DCM. The panel used the Clinical Genome Resource semiquantitative gene-disease clinical validity classification framework with modifications for DCM genetics to classify genes into categories on the basis of the strength of currently available evidence. Representation of DCM genes on clinically available genetic testing panels was evaluated. RESULTS: Fifty-one genes with human genetic evidence were curated. Twelve genes (23%) from 8 gene ontologies were classified as having definitive (BAG3, DES, FLNC, LMNA, MYH7, PLN, RBM20, SCN5A, TNNC1, TNNT2, TTN) or strong (DSP) evidence. Seven genes (14%; ACTC1, ACTN2, JPH2, NEXN, TNNI3, TPM1, VCL) including 2 additional ontologies were classified as moderate evidence; these genes are likely to emerge as strong or definitive with additional evidence. Of these 19 genes, 6 were similarly classified for hypertrophic cardiomyopathy and 3 for arrhythmogenic right ventricular cardiomyopathy. Of the remaining 32 genes (63%), 25 (49%) had limited evidence, 4 (8%) were disputed, 2 (4%) had no disease relationship, and 1 (2%) was supported by animal model data only. Of the 16 evaluated clinical genetic testing panels, most definitive genes were included, but panels also included numerous genes with minimal human evidence. CONCLUSIONS: In the curation of 51 genes, 19 had high evidence (12 definitive/strong, 7 moderate). It is notable that these 19 genes explain only a minority of cases, leaving the remainder of DCM genetic architecture incompletely addressed. Clinical genetic testing panels include most high-evidence genes; however, genes lacking robust evidence are also commonly included. We recommend that high-evidence DCM genes be used for clinical practice and that caution be exercised in the interpretation of variants in variable-evidence DCM genes.

State-Level Alcohol Environments and Sexual Identity Disparities in Binge Drinking in the Behavioral Risk Factor Surveillance System.

Purpose: Binge drinking disparities by sexual identity are well documented. Stronger alcohol policy environments reduce binge drinking in the general population. We examined whether state-level alcohol policy environments have the same association with binge drinking among lesbian, gay, and bisexual (LGB) adults as among heterosexual adults. Methods: Binge drinking, sexual identity, and demographic characteristics were extracted from the 2015 to 2018 Behavioral Risk Factor Surveillance System. The strength of the alcohol policy environment was measured by using the Alcohol Policy Scale (APS) score. We estimated the association between APS score and binge drinking by using logistic regression and included an interaction term between APS score and sexual identity. Results: The interaction between APS score and sexual identity was not significant, and findings differed between women and men. Among women, a higher APS score was associated with lower odds of binge drinking (adjusted odds ratio [aOR]: 0.96, 95% confidence interval [CI]: 0.94-0.99). Differences in binge drinking by sexual identity remained after adjusting for individual and state-level factors (e.g., the percentage of LGB adults in the state). Compared with heterosexual women, the odds of binge drinking were 43% higher (aOR: 1.43, 95% CI: 1.17-1.75) among lesbian women and 58% higher (aOR: 1.58, 95% CI: 1.40-1.79) among bisexual women. A higher APS score was not associated with binge drinking among men. Conclusion: Stronger state-level alcohol policy environments were associated with lower binge drinking among women. Lesbian and bisexual women were still more likely to engage in binge drinking compared with heterosexual women even in states with stronger alcohol policy environments.

Mental Distress in the United States at the Beginning of the COVID-19 Pandemic.

Objectives. To assess the impact of the COVID-19 pandemic on mental distress in US adults.Methods. Participants were 5065 adults from the Understanding America Study, a probability-based Internet panel representative of the US adult population. The main exposure was survey completion date (March 10-16, 2020). The outcome was mental distress measured via the 4-item version of the Patient Health Questionnaire.Results. Among states with 50 or more COVID-19 cases as of March 10, each additional day was significantly associated with an 11% increase in the odds of moving up a category of distress (odds ratio = 1.11; 95% confidence interval = 1.01, 1.21; P = .02). Perceptions about the likelihood of getting infected, death from the virus, and steps taken to avoid infecting others were associated with increased mental distress in the model that included all states. Individuals with higher consumption of alcohol or cannabis or with history of depressive symptoms were at significantly higher risk for mental distress.Conclusions. These data suggest that as the COVID-19 pandemic continues, mental distress may continue to increase and should be regularly monitored. Specific populations are at high risk for mental distress, particularly those with preexisting depressive symptoms.

Race/Ethnicity Differences in Trends of Marijuana, Cigarette, and Alcohol Use Among 8th, 10th, and 12th Graders in Washington State, 2004-2016.

Accurate estimates of substance use in the teenage years by race/ethnicity may help identify when to intervene to prevent long-term substance use disparities. We examined trends in past 30-day use of marijuana, cigarette, and alcohol among 8th, 10th, and 12th graders in Washington State, which passed a recreational marijuana law in 2012 and initiated retail marijuana sales in 2014. Data are from the 2004-2016 Washington Healthy Youth Surveys (n = 161,992). We used time series regression models to assess linear and quadratic trends in substance use for the full sample and stratified on race/ethnicity and grade level and examined relative differences in prevalence of use by race/ethnicity. In Washington, across all racial/ethnic groups, marijuana use peaked in 2012. Although there was not a significant overall change in marijuana use for the full sample across the study period, there was a statistically significant increase in use among 12th graders and a statistically significant decrease among 8th graders. Relative to Whites, Asians had a lower prevalence of marijuana use, whereas all other race/ethnicity groups had a higher prevalence of use. Prevalence of marijuana use is particularly high among American Indian/Alaska Native and Black youth and has increased most rapidly among 12th grade Hispanic/Latinx youth. There were large and statistically significant decreases in alcohol and cigarette use across the study period for the full sample, as well as for each race/ethnicity group. These findings highlight the need for continued monitoring of trends in use among these groups and potentially warrant consideration of selective interventions that specifically focus on students of color and that include developmentally-appropriate strategies relevant to each grade.

Validation of a substance and alcohol use assessment instrument among orphans and vulnerable children in Zambia using Audio Computer Assisted Self-Interviewing (ACASI).

BACKGROUND: Substance and alcohol misuse is a global problem that increases the risk of HIV infection. This is a concern among orphans and vulnerable children (OVC) in sub-Saharan Africa who may have elevated substance use rates. The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) is a reliable and valid instrument of substance use among adults in primary care high-income settings. This study examined psychometric properties of the ASSIST among OVC in Zambia using Audio Computer Assisted Self-Interviewing (ACASI). METHODS: Baseline data from an ongoing randomized trial of interventions to reduce HIV risk behaviors were analyzed. The analysis included 502 OVC ages 13-17 living in low-income, high-density neighborhoods in Lusaka, Zambia. Internal consistency of the ASSIST was assessed and discriminant validity was measured using items from the Youth Self Report as criterion variables. RESULTS: Internal reliability was strong with a Cronbach's alpha of ≥0.80 for each of the specific substance scales and total substance involvement. For all substances except tobacco and sedatives, discriminant validity was demonstrated in distinguishing between low risk use and moderate use. Sensitivity and specificity analysis indicated adequate area under the curve across substance types (AUC range: 0.68-0.80). Discrimination between moderate and high risk was demonstrated for alcohol and total substance involvement. CONCLUSIONS: ASSIST administered via ACASI is a reliable instrument and an appropriate tool for distinguishing between low and hazardous substance use among adolescent OVC populations in sub-Saharan Africa. Additional examination is warranted to determine its ability to measure gradations of severity within hazardous use.

Not in My Back Yard: A Comparative Analysis of Crime Around Publicly Funded Drug Treatment Centers, Liquor Stores, Convenience Stores, and Corner Stores in One Mid-Atlantic City.

OBJECTIVE: This research examined whether publicly funded drug treatment centers (DTCs) were associated with violent crime in excess of the violence happening around other commercial businesses. METHOD: Violent crime data and locations of community entities were geocoded and mapped. DTCs and other retail outlets were matched based on a Neighborhood Disadvantage score at the census tract level. Street network buffers ranging from 100 to 1,400 feet were placed around each location. Negative binomial regression models were used to estimate the relationship between the count of violent crimes and the distance from each business type. RESULTS: Compared with the mean count of violent crime around drug treatment centers, the mean count of violent crime (M = 2.87) was significantly higher around liquor stores (M = 3.98; t test; p < .01) and corner stores (M = 3.78; t test; p < .01), and there was no statistically significant difference between the count around convenience stores (M = 2.65; t test; p = .32). In the adjusted negative binomial regression models, there was a negative and significant relationship between the count of violent crime and the distance from drug treatment centers (ß = -.069, p < .01), liquor stores (ß = -.081, p < .01), corner stores (ß = -.116, p < .01), and convenience stores (ß = -.154, p < .01). CONCLUSIONS: Violent crime associated with drug treatment centers is similar to that associated with liquor stores and is less frequent than that associated with convenience stores and corner stores.

Evaluating Nighttime Observational Measures of Neighborhood Disorder: Validity of the Nighttime NIfETy Assessment.

While there are a growing number of observational instruments to assess the built and social dimensions of the neighborhood environment, there are few reliable and validated instruments; there are no instruments that assess the neighborhood environment during nighttime hours, a potential peak period of health and safety risk. The purpose of this investigation is to establish the metric properties of Neighborhood Inventory for Environmental Typology (NIfETy) Instrument nighttime ratings. Reliability of the scale was measured by internal consistency reliability and test re-test correlation. Validity was evaluated through correlation with the daytime NIfETy rating and regression models with local violent crime data. The nighttime items had good internal consistency (α = .81-82) for the total scale and acceptable internal consistency for a seven-item nighttime disorder scale (α = .66-.71). Future investigations will examine the nighttime NIfETy and its association with specific risk behaviors to evaluate changes in neighborhood environment.

Racial/ethnic differences in associations between neighborhood socioeconomic status, distress, and smoking among U.S. adults.

Neighborhood disadvantage may increase smoking by increasing distress, while neighborhood affluence may reduce smoking by increasing positive affect. We examined whether relationships between neighborhood socioeconomic status (SES) and daily smoking operated through distress and positive affect. Simultaneous multivariate path models used pooled cross-sectional data from the 2000 and 2005 National Alcohol Surveys (15,963 respondents; weighted N = 10,753) and the 2000 Decennial Census. Multiple groups analysis assessed differences by gender and race/ethnicity. Covariates included neighborhood immigrant concentration and individual-level demographics. In the full sample, neighborhood disadvantage significantly increased smoking and neighborhood affluence significantly decreased smoking, with no indirect paths through either distress or positive affect. Unique among Hispanics, affluence resulted in decreased smoking indirectly through reduced distress. Relationships between affect and smoking also varied by race/ethnicity, with no significant differences by gender. Interventions targeting neighborhood socioeconomic status and distress may help reduce smoking, particularly for racial/ethnic minorities.

Mental health service use among high school students exposed to interpersonal violence.

BACKGROUND: Violence-exposed youth rarely receive mental health services, even though exposure increases risk for academic and psychosocial problems. This study examines the association between violence exposure and mental health service contact. The 4 forms of violence exposure were peer, family, sexual, and witnessing. METHODS: Data are from 1534 Boston public high school students who participated in a 2008 self-report survey of violence exposure and its correlates. Multivariate logistic regressions estimated associations between each form of violence with service contact, then examined whether associations persisted when controlling for suicidality and self-injurious behaviors. RESULTS: In unadjusted models, violence-exposed students more often reported service contact than their peers. However, in multivariate models, only exposure to family (odds ratio [OR] = 1.69, 95% confidence interval [CI] = 1.23-2.31) and sexual violence (OR = 2.34, 95% CI = 1.29-4.20) were associated with service contact. Associations attenuated when controlling for suicidality and self-injurious behaviors, indicating they were largely explained by self-harm. Sexual violence alone remained associated with mental health service contact in fully adjusted models, but only for girls (OR=3.32, 95% CI=1.30-8.45), suggesting sex-specific pathways. CONCLUSIONS: Associations between adolescent violence exposure and mental health service contact vary by forms of exposure. Outreach to a broader set of exposed youth may reduce the impact of violence and its consequences for vulnerable students.

The Modified Depression Scale (MDS): A Brief, No-Cost Assessment Tool to Estimate the Level of Depressive Symptoms in Students and Schools.

Adolescent health researchers and practitioners are frequently interested in assessing depression as part of student screening and for school-wide prevention and intervention planning. However, this task is challenging given the lack of free, brief assessments of depressive symptoms in youth. This study evaluated the psychometric properties of an adapted version of the Modified Depression Scale (MDS). Data came from a school-based survey of 9th-12th graders in Boston (N=1,657). We assessed internal consistency reliability and known-groups validity, in addition to the feasibility of establishing a dichotomous cut-point to classify adolescents as having high versus low depressive symptoms. We also evaluated the validity of the adapted MDS as a school-wide measure. At the student-level, the adapted MDS demonstrated acceptable internal consistency. Students engaging in risk behaviors (e.g., substance use) or who were victimized (e.g., bullied) had significantly higher depressive symptom scores. Students who endorsed four or five MDS symptoms often or always had a heightened risk of suicidal ideation, substance use, and failing grades when compared to students who endorsed three or fewer symptoms often or always. At the school-level, higher mean levels of depressive symptoms in a school were associated with higher mean levels of suicidal ideation and failing grades. Results of this study suggest that the adapted MDS is a promising measurement tool that could be useful to school-based professionals and researchers to evaluate depressive symptoms in adolescents and ascertain the prevalence of depressive symptoms in schools.

Training mental healthcare providers to reduce at-risk patients' access to lethal means of suicide: evaluation of the CALM Project.

The objective of this study was to evaluate the "CALM" (Counseling on Access to Lethal Means) training, in which community-based mental health care providers were trained to work with at-risk clients and their families to assess and reduce access to lethal means of suicide, including firearms. In 2006, CALM trainers conducted workshops in 7 community-based mental health care centers in New Hampshire towns. Participants completed a post-test immediately after the workshop and a follow-up questionnaire approximately 6 weeks later. At follow-up, 65% reported that they had counseled clients' parents about access to lethal means (n = 111). Findings also indicate that the workshop influenced participants' attitudes, beliefs, and skills regarding conducting lethal means counseling.

The growth of neighborhood disorder and marijuana use among urban adolescents: a case for policy and environmental interventions.

OBJECTIVE: This study examines the growth of neighborhood disorder and subsequent marijuana use among urban adolescents transitioning into young adulthood. METHOD: Data are derived from a longitudinal sample of 434 predominately African American 12th graders followed-up at 2 years after high school. The data are rich in repeated measures documenting substance use and misuse and neighborhood characteristics. Growth mixture modeling was used to examine how neighborhood disorder trajectories, measured through the presence of abandoned buildings on the blocks where participants reside, influence subsequent drug use beginning in late adolescence and into young adulthood. RESULTS: A four-class solution characterizing neighborhood growth was selected as the final model and included rapidly improving, slightly improving, always-good, and deteriorating neighborhoods. Young adults living in neighborhoods that had been deteriorating over time were 30% more likely to use marijuana 2 years after high school than adolescents living in always-good neighborhoods (odds ratio = 1.30, p = .034). There was no relationship between living in a neighborhood that was improving and marijuana use. CONCLUSIONS: This study identified a salient and malleable neighborhood characteristic, abandoned housing, which predicted elevated risk for young-adult marijuana use. This research supports environmental strategies that target abandoned buildings as a means to improve health and health behaviors for community residents, particularly young-adult substance use.

Neighborhood-level factors associated with physical dating violence perpetration: results of a representative survey conducted in Boston, MA.

Neighborhood-level characteristics have been found to be associated with different forms of interpersonal violence, but studies of the relationship between these characteristics and adolescent dating violence are limited. We examined 6 neighborhood-level factors in relation to adolescent physical dating violence perpetration using both adolescent and adult assessments of neighborhood characteristics, each of which was aggregated across respondents to the neighborhood level. Data came from an in-school survey of 1,530 public high school students and a random-digit-dial telephone survey of 1,710 adult residents of 38 neighborhoods in Boston. Approximately 14.3% of the youth sample reported one or more acts of physical aggression toward a dating partner in the month preceding the survey. We calculated the odds of past-month physical dating violence by each neighborhood-level factor, adjusting for school clustering, gender, race, and nativity. In our first 6 models, we used the adolescent assessment of neighborhood factors and then repeated our procedures using the adult assessment data. Using the adolescent assessment data, lower collective efficacy (AOR = 1.95, 95% CI = 1.09-3.52), lower social control (AOR = 1.92, 95% CI = 1.07-3.43), and neighborhood disorder (AOR = 1.19, 95% CI = 1.05-1.35) were each associated with increased likelihood of physical dating violence perpetration. However, when we used the adult version of the neighborhood assessment data, no neighborhood factor predicted dating violence. The implications and limitations of these findings are discussed.

Strategies to improve external cause-of-injury coding in state-based hospital discharge and emergency department data systems: recommendations of the CDC Workgroup for Improvement of External Cause-of-Injury Coding.

Each year, an estimated 50 million persons in the United States experience injuries that require medical attention. A substantial number of these persons are treated in an emergency department (ED) or a hospital, which collects their health-care data for administrative purposes. State-based morbidity data systems permit analysis of information on the mechanism and intent of injury through the use of external cause-of-injury coding (Ecoding). Ecoded state morbidity data can be used to monitor temporal changes and patterns in causes of unintentional injuries, assaults, and self-harm injuries and to set priorities for planning, implementing, and evaluating the effectiveness of injury-prevention programs. However, the quality of Ecoding varies substantially from state to state, which limits the usefulness of these data in certain states. This report discusses the value of using high-quality Ecoding to collect data in state-based morbidity data systems. Recommendations are provided to improve communication regarding Ecoding among stakeholders, enhance the completeness and accuracy of Ecoding, and make Ecoded data more useful for injury surveillance and prevention activities at the local, state, and federal levels. Implementing the recommendations outlined in this report should result in substantial improvements in the quality of external cause-of-injury data collected in hospital discharge and ED data systems in the United States and its territories.