Characteristics and Trends in HIV Testing Among Medicaid Enrollees Diagnosed as Having Schizophrenia.

OBJECTIVE: People with schizophrenia have more HIV risk factors and higher rates of HIV infection than the general U.S. population. The authors aimed to examine HIV testing patterns in this population nationally and by demographic characteristics and presence of high-risk comorbid conditions. METHODS: This retrospective longitudinal study compared HIV testing between Medicaid-only enrollees with schizophrenia and without schizophrenia during 2002-2012 (N=6,849,351). Interrupted time series were used to analyze the impacts of the 2006 federal policy change recommending expanded HIV testing. Among enrollees with schizophrenia, multivariable logistic regression was used to estimate associations between testing and both demographic characteristics and comorbid conditions. Sensitivity analyses were also conducted. RESULTS: Enrollees diagnosed as having schizophrenia had consistently higher HIV testing rates than those without schizophrenia. When those with comorbid substance use disorders or sexually transmitted infections were excluded, testing was higher for individuals without schizophrenia (p<0.001). The federal policy change likely increased testing for both groups (p<0.001), but the net change was greater for those without schizophrenia (3.1 vs. 2.2 percentage points). Among enrollees with schizophrenia, testing rates doubled during 2002-2012 (3.9% to 7.2%), varied across states (range 17 percentage points), and tripled for those with at least one annual nonpsychiatric medical visit (vs. no visit; adjusted OR=3.10, 95% CI=2.99-3.22). CONCLUSIONS: Nationally, <10% of enrollees with schizophrenia had annual HIV testing. Increases appear to be driven by high-risk comorbid conditions and nonpsychiatric encounters, rather than by efforts to target people with schizophrenia. Psychiatric guidelines for schizophrenia care should consider HIV testing alongside annual metabolic screening.

Gender Composition in Biomedical Research Grant Submissions and Grant Review Panels Before Versus During the COVID-19 Pandemic.

Purpose: This study examined the gender composition of career development award applicants and grant review panels during the pandemic compared with that beforehand. Methods: Data were collected from 14 Health Research Alliance (HRA) organizations, which fund biomedical research and training. HRA members provided the gender of grant applicants and grant reviewers during the pandemic (April 1, 2020, to February 28, 2021) and prepandemic (April 1, 2019, to February 29, 2020). The signed-rank test compared medians and the chi square test compared the overall gender distribution. Results: The total number of applicants was similar during the pandemic (N = 3,724) and prepandemic (N = 3,882) periods, as was the percentage of women applicants (45.2% pandemic vs. 44.9% prepandemic, p = 0.78). The total number of men and women grant reviewers declined during the pandemic (N = 856) compared with that pre-pandemic (N = 1,689); this decrease was driven by a change for the largest funder. Also driven by changes for this one funder, the percentage of total grant reviewers who were women increased significantly during the pandemic (45.9%) compared with that during prepandemic (38.8%; p = 0.001), but the median percentage of women grant reviewers across organizations remained similar during the pandemic (43.6%) and prepandemic periods (38.2%; p = 0.53). Conclusions: In a sample of research organizations, the gender composition of grant applicants and grant review panels remained similar, except for the review panel composition for one large funder. Given evidence from other studies that have revealed gender differences in other career and life experiences of scientists during the pandemic, ongoing evaluation of women's representation in grant submission and review mechanisms is essential.

The impact of attending historically Black colleges and universities on cognitive decline in Black adults: A longitudinal analysis in the KHANDLE and STAR cohorts.

INTRODUCTION: Black students attending predominantly White institutions (PWIs) versus historically Black colleges and universities (HBCUs) report more harmful discrimination and develop worse mental health outcomes, potentially offsetting the established benefits of college for lowering dementia incidence. METHODS: Black participants in two cohorts (the Kaiser Healthy Aging and Diverse Life Experiences [KHANDLE] and the Study of Healthy Aging in African Americans [STAR]) who had attended college (N = 716) self-reported the college name (classified as HBCU vs. PWI) and completed three waves of executive function (EF) and verbal episodic memory (VEM) assessments. HBCU effects on cognitive level and decline were estimated using adjusted linear mixed-effects models. RESULTS: HBCU (vs. PWI) attendees averaged better EF (ß = 0.05 [-0.22, 0.32]) and VEM (ß = 0.21 [-0.06, 0.46]) at age 70 though neither association was statistically significant. HBCU attendance was associated with slightly faster VEM decline (ß = -0.03 [-0.05, 0.00]). DISCUSSION: Harmonized analyses with larger studies are needed to estimate important effects of HBCU attendance. HIGHLIGHTS: Higher education is robustly linked to lower dementia risk, yet Black-White inequities persist among college-educated adults. Black students attending predominantly White institutions (PWIs) versus historically Black colleges and universities (HBCUs) report more harmful discrimination and develop worse mental health outcomes, which may offset the established benefits of college for lowering dementia incidence. HBCU (vs. non-HBCU) attendees averaged better executive function and verbal episodic memory (VEM) at average age 70, though confidence intervals were wide and associations were not statistically significant, and averaged slightly faster decline in VEM. Harmonized analyses using larger nationally representative studies are likely needed to avoid underestimating the health effects of HBCU attendance.

Field Visit Contact Rate by Mobile Crisis Teams as a Crisis System Performance Metric.

OBJECTIVE: The authors investigated associations between rates of contact with individuals in distress during field visits by mobile crisis teams and client and referral source characteristics. METHODS: In this retrospective observational study of an urban mobile crisis program, call logs (N=2,581) were coded for whether an attempted field visit resulted in a client evaluation. Logistic regression analyses examined potential associations with client age, gender, race-ethnicity, primary language, living situation, insurance, and referral source. RESULTS: Contact was made with 77% of adults and 97% of children referred to mobile crisis teams. Field visit contact rates differed by age. Unsuccessful visits were more likely when the referral source was from institutional settings than from individuals. CONCLUSIONS: Approximately one-quarter of attempted field visits with adults by an urban mobile crisis team were not completed, particularly among referrals from institutional settings. As mobile crisis services proliferate, field visit contact rate could be a key performance metric for these critical services.

CRANIUM: a quasi-experimental study to improve metabolic screening and HIV testing in community mental health clinics compared to usual care.

BACKGROUND: Individuals with serious mental illness often do not receive guideline-concordant metabolic screening and human immunodeficiency virus (HIV) testing, contributing to increased morbidity and premature mortality. This study evaluates the effectiveness of CRANIUM (Cardiometabolic Risk Assessment and treatment through a Novel Integration model for Underserved populations with Mental illness), an intervention to increase metabolic screening and HIV testing among patients with serious mental illness in a community mental health clinic compared to usual care. METHODS: The study used a quasi-experimental design, prospectively comparing a preventive care screening intervention at one community mental health clinic (n = 536 patients) to usual care at the remaining clinics within an urban behavioural health system (n = 4,847 patients). Psychiatrists at the intervention site received training in preventive health screening and had access to a primary care consultant, screening and treatment algorithms, patient registries, and a peer support specialist. Outcomes were the change in screening rates of A1c, lipid, and HIV testing post-intervention at the intervention site compared to usual care sites. RESULTS: Rates of lipid screening and HIV testing increased significantly at the intervention site compared to usual care, with and without multivariable adjustment [Lipid: aOR 1.90, 95% CI 1.32-2.75, P = .001; HIV: aOR 23.42, 95% CI 5.94-92.41, P < .001]. While we observed a significant increase in A1c screening rates at the intervention site, this increase did not persist after multivariable adjustment (aOR 1.37, 95% CI .95-1.99, P = .09). CONCLUSIONS: This low-cost, reverse integrated care model targeting community psychiatrist practices had modest effects on increasing preventive care screenings, with the biggest effect seen for HIV testing rates. Additional incentives and structural supports may be needed to further promote screening practices for individuals with serious mental illness.

Breast Cancer Screening Rates Among Medicaid Beneficiaries With Schizophrenia.

OBJECTIVE: Women with serious mental illness are more likely to be diagnosed as having late-stage breast cancer than women without serious mental illness, suggesting a disparity in screening mammography. This study aimed to compare screening mammography rates in a nationally representative sample of Medicaid beneficiaries with and without schizophrenia. METHODS: Medicaid Analytic eXtract files, 2007-2012, were used to identify a cohort of women ages 40-64 with schizophrenia who were eligible for Medicaid but not Medicare (N=87,572 in 2007 and N=114,341 in 2012) and a cohort without schizophrenia, frequency-matched by age, race-ethnicity, and state (N=97,003 in 2007 and N=126,461 in 2012). Annual screening mammography rates were calculated and adjusted for demographic characteristics and comorbid conditions. Multivariable logistic regression was used to estimate the association between beneficiary characteristics and screening mammography rates. RESULTS: In 2012, 27.2% of women with schizophrenia completed screening mammography, compared with 26.8% of the control cohort. In the schizophrenia cohort, American Indian/Alaskan Native women had significantly lower odds of receiving mammography (OR=0.82, p=0.02) than White women, whereas Hispanic/Latina women had higher odds (OR=1.16, p<0.001). Women with schizophrenia and a nonalcohol-related substance use disorder had lower odds of receiving mammography (OR=0.74, p<0.001) than women without a substance use disorder. Having at least one medical visit in the past year (vs. no visits) increased the odds of receiving screening mammography (OR=5.08, p<0.001). CONCLUSIONS: Screening mammography rates were similar between Medicaid-insured women with and those without schizophrenia. Interventions to increase uptake may need to focus on improving socioeconomic conditions and primary care engagement for vulnerable populations, regardless of psychiatric condition.

Postsecondary Education and Late-life Cognitive Outcomes Among Black and White Participants in the Project Talent Aging Study: Can Early-life Cognitive Skills Account for Educational Differences in Late-life Cognition?

BACKGROUND: Higher education consistently predicts improved late-life cognition. Racial differences in educational attainment likely contribute to inequities in dementia risk. However, few studies of education and cognition have controlled for prospectively measured early-life confounders or evaluated whether the education late-life cognition association is modified by race/ethnicity. METHODS: Among 2343 Black and White Project Talent Aging Study participants who completed telephone cognitive assessments, we evaluated whether the association between years of education and cognition (verbal fluency, memory/recall, attention, and a composite cognitive measure) differed by race, and whether these differences persisted when adjusting for childhood factors, including the cognitive ability. RESULTS: In fully adjusted linear regression models, each additional year of education was associated with higher composite cognitive scores for Black [ß=0.137; 95% confidence interval (CI)=0.068, 0.206] and White respondents (ß=0.056; CI=0.034, 0.078) with an interaction with race ( P =0.03). Associations between education and memory/recall among Black adults (ß=0.036; CI=-0.037, 0.109) and attention among White adults (ß=0.022; CI=-0.002, 0.046) were nonsignificant. However, there were significant race-education interactions for the composite ( P =0.03) and attention measures ( P <0.001) but not verbal fluency ( P =0.61) or memory/recall ( P =0.95). CONCLUSION: Education predicted better overall cognition for both Black and White adults, even with stringent control for prospectively measured early-life confounders.

Occupation and Educational Attainment Characteristics Associated With COVID-19 Mortality by Race and Ethnicity in California.

Importance: Racial and ethnic inequities in COVID-19 mortality may be driven by occupation and education, but limited evidence has assessed these mechanisms. Objective: To estimate whether occupational characteristics or educational attainment explained the associations between race and ethnicity and COVID-19 mortality. Design, Setting, and Participants: This population-based retrospective cohort study of Californians aged 18 to 65 years linked COVID-19 deaths to population estimates within strata defined by race and ethnicity, gender, age, nativity in the US, region of residence, education, and occupation. Analysis was conducted from September 2020 to February 2022. Exposures: Education and occupational characteristics associated with COVID-19 exposure (essential sector, telework option, wages). Main Outcomes and Measures: All confirmed COVID-19 deaths in California through February 12, 2021. The study estimated what COVID-19 mortality would have been if each racial and ethnic group had (1) the COVID-19 mortality risk associated with the education and occupation distribution of White people and (2) the COVID-19 mortality risk associated with the lowest-risk educational and occupational positions. Results: Of 25 235 092 participants (mean [SD] age, 40 [14] years; 12 730 395 [50%] men), 14 783 died of COVID-19, 8 125 565 (32%) had a Bachelor's degree or higher, 13 345 829 (53%) worked in essential sectors, 11 783 017 (47%) could not telework, and 12 812 095 (51%) had annual wages under $51 700. COVID-19 mortality ranged from 15 deaths per 100 000 for White women and Asian women to 139 deaths per 100 000 for Latinx men. Accounting for differences in age, nativity, and region of residence, if all races and ethnicities had the COVID-19 mortality associated with the occupational characteristics of White people (sector, telework, wages), COVID-19 mortality would be reduced by 10% (95% CI, 6% to 14%) for Latinx men, but increased by 5% (95% CI, -8% to 17%) for Black men. If all working-age Californians had the COVID-19 mortality associated with the lowest-risk educational and occupational position (Bachelor's degree, nonessential, telework, and highest wage quintile), there would have been 43% fewer COVID-19 deaths among working-age adults (8441 fewer deaths; 95% CI, 32%-54%), with the largest absolute risk reductions for Latinx men (3755 deaths averted; 95% CI, 3304-4255 deaths) and Latinx women (2329 deaths averted; 95% CI, 2038-2621 deaths). Conclusions and Relevance: In this population-based cohort study of working-age California adults, occupational disadvantage was associated with excess COVID-19 mortality for Latinx men. For all racial and ethnic groups, excess risk associated with low-education, essential, on-site, and low-wage jobs accounted for a substantial fraction of COVID-19 mortality.

Lessons Learned From a New Reverse-Integration Model to Improve Primary Care Screening in Community Mental Health Settings.

The authors sought to describe a reverse-integration intervention aimed at improving preventive health screening in a community mental health clinic. The intervention, CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness), integrated primary care services into a large urban community mental health setting. It was implemented in 2015 and included a patient-centered team, population-based care, emphasis on screening, and evidence-based treatment. CRANIUM's strengths included provider acceptability, a patient-centered approach, sustained patient engagement, and economic feasibility. Challenges included underutilized staff, registry maintenance, and unanticipated screening barriers. The CRANIUM reverse-integration model can be feasibly implemented and was acceptable to providers.

Hepatitis C Screening Among Medicaid Patients With Schizophrenia, 2002-2012.

OBJECTIVE: Although people with schizophrenia are disproportionately affected by Hepatitis C virus (HCV) compared to the general population, HCV screening among US Medicaid recipients with schizophrenia has not been characterized. Following 1998 CDC recommendations for screening in high-risk populations, we estimated the proportion of Medicaid recipients with and without schizophrenia screened for HCV across states and over time. Examining patterns of screening will inform the current public health imperative to test all adults for HCV now that safer and more effective treatments are available. METHODS: Data are drawn from 1 353 424 Medicaid recipients aged 15-64 years with schizophrenia and frequency-matched controls from 2002 to 2012. Participants with known HCV infection one year prior and those dual-eligible for Medicare were excluded. Multivariable logistic regression estimated associations between predictor variables and HCV screening. RESULTS: HCV screening was low (<4%) but increased over time. Individuals with schizophrenia consistently showed higher screening compared to controls across years and states. Several demographic and clinical characteristics predicted higher screening, especially comorbid HIV (OR = 6.5; 95% CI = 6.0-7.0). Outpatient medical care utilization increased screening by nearly double in 2002 (OR = 1.8; CI = 1.7-1.9) and almost triple in 2012 (OR = 2.7; CI = 2.6-2.9). CONCLUSIONS: Low screening was a missed opportunity to improve HCV prevention efforts and reduce liver-related mortality among people with schizophrenia. Greater COVID-19 disease severity in HCV patients and the availability of effective HCV treatments increase the urgency to improve HCV screening. Eliminating Medicaid restrictions and expanding statewide HIV policies to include HCV would have multiple public health benefits, particularly for people with schizophrenia.

Superwoman Schema, Racial Identity, and Cellular Aging Among African American Women.

BACKGROUND AND OBJECTIVES: African American women experience faster telomere shortening (i.e., cellular aging) compared with other racial-gender groups. Prior research demonstrates that race and gender interact to influence culturally specific norms for responding to socially-relevant stress and other stress-coping processes, which may affect healthy aging. RESEARCH DESIGN AND METHODS: Data are from African American Women's Heart & Health Study participants who consented to DNA extraction (n = 140). Superwoman Schema (SWS) was measured using 5 validated subscales: presenting strength, emotion suppression, resisting vulnerability, motivation to succeed, and obligation to help others. Racial identity was measured using 3 subscales from the Multidimensional Inventory of Black Identity: racial centrality, private regard, and public regard. Relative telomere length (rTL) was measured using DNA extracted from blood samples. Path analysis tested associations and interactions between SWS and racial identity dimensions with rTL. RESULTS: For SWS, higher resistance to being vulnerable predicted longer telomeres. For racial identity, high private regard predicted longer telomeres while high public regard predicted shorter telomeres. Interactions were found between public regard and 2 SWS dimensions: among women with high public regard, emotion suppression (ß = 0.20, p < .05) and motivation to succeed (ß = 0.18, p < .05) were associated with longer rTL. The interaction between high centrality and emotion suppression predicted shorter rTL (ß = -0.17, p < .05). DISCUSSION AND IMPLICATIONS: Culturally specific responses to gendered racism and racial identity, developed early in life and shaped over the life course, are important psychosocial determinants of cellular aging among African American women.

A descriptive analysis of 2020 California Occupational Safety and Health Administration covid-19-related complaints.

COVID-19 mortality has disproportionately affected specific occupations and industries. The Occupational Safety and Health Administration (OSHA) protects the health and safety of workers by setting and enforcing standards for working conditions. Workers may file OSHA complaints about unsafe conditions. Complaints may indicate poor workplace safety during the pandemic. We evaluated COVID-19-related complaints filed with California (Cal)/OSHA between January 1, 2020 and December 14, 2020 across seven industries. To assess whether workers in occupations with high COVID-19-related mortality were also most likely to file Cal/OSHA complaints, we compared industry-specific per-capita COVID-19 confirmed deaths from the California Department of Public Health with COVID-19-related complaints. Although 7820 COVID-19-related complaints were deemed valid by Cal/OSHA, only 627 onsite inspections occurred, and 32 citations were issued. Agricultural workers had the highest per-capita COVID-19 death rates (402 per 100,000 workers) but were least represented among workplace complaints (44 per 100,000 workers). Health Care workers had the highest complaint rates (81 per 100,000 workers) but the second lowest COVID-19 death rate (81 per 100,000 workers). Industries with the highest inspection rates also had high COVID-19 mortality. Our findings suggest complaints are not proportional to COVID-19 risk. Instead, higher complaint rates may reflect worker groups with greater empowerment, resources, or capacity to advocate for better protections. This capacity to advocate for safe workplaces may account for relatively low mortality rates in potentially high-risk occupations. Future research should examine factors determining worker complaints and complaint systems to promote participation of those with the greatest need of protection.

An investigation of quantitative methods for assessing intersectionality in health research: A systematic review.

Intersectionality is a theoretical framework that investigates how interlocking systems of power and oppression at the societal level influence the lived experiences of historically and socially marginalized groups. Currently, there are no consistent or widely adopted quantitative methods to investigate research questions informed by intersectionality theory. The objective of this systematic review is to describe the current landscape of quantitative methods used to assess intersectionality and to provide recommendations on analytic best practices for future research. We searched PubMed, EMBASE, and the Web of Science in December 2019 to identify studies using analytic quantitative intersectionality approaches published up to December 2019 (PROSPERO CRD42020162686). To be included in the study, articles had to: (1) be empirical research, (2) use a quantitative statistical method, (3) be published in English, and (4) incorporate intersectionality. Our initial search yielded 1889 articles. After screening by title/abstract, methods, and full text review, our final analytic sample included 153 papers. Eight unique classes of quantitative methods were identified, with the majority of studies employing regression with an interaction term. We additionally identified several methods which appear to be at odds with the key tenets of intersectionality. As quantitative intersectionality continues to expand, careful attention is needed to avoid the dilution of the core tenets. Specifically, emphasis on social power is needed as methods continue to be adopted and developed. Additionally, clear explanation of the selection of statistical approaches is needed and, when using regression with interaction terms, researchers should opt for use of the additive scale. Finally, use of methods that are potentially at odds with the tenets of intersectionality should be avoided.

A descriptive analysis of 2020 California Occupational Safety and Health Administration COVID-19-related complaints.

COVID-19 mortality disproportionately affected specific occupations and industries. The Occupational Safety and Health Administration (OSHA) protects the health and safety of workers by setting and enforcing standards for working conditions. Workers may file OSHA complaints about unsafe conditions. Complaints may indicate poor workplace safety during the pandemic. We evaluated COVID-19-related complaints filed with California (Cal)/OSHA between January 1, 2020 and December 14, 2020 across seven industries. To assess whether workers in occupations with high COVID-19-related mortality were also most likely to file Cal/OSHA complaints, we compared industry-specific per-capita COVID-19 confirmed deaths from the California Department of Public Health with COVID-19-related complaints. Although 7,820 COVID-19-related complaints were deemed valid by Cal/OSHA, only 627 onsite inspections occurred and 32 citations were issued. Agricultural workers had the highest per-capita COVID-19 death rates (402 per 100,000 workers) but were least represented among workplace complaints (44 per 100,000 workers). Health Care workers had the highest complaint rates (81 per 100,000 workers) but the second lowest COVID-19 death rate (81 per 100,000 workers). Industries with the highest inspection rates also had high COVID-19 mortality. Our findings suggest complaints are not proportional to COVID-19 risk. Instead, higher complaint rates may reflect worker groups with greater empowerment, resources, or capacity to advocate for better protections. This capacity to advocate for safe workplaces may account for relatively low mortality rates in potentially high-risk occupations. Future research should examine factors determining worker complaints and complaint systems to promote participation of those with the greatest need of protection.

US law enforcement policy predictors of race-specific police fatalities during 2015-16.

Mounting evidence suggests that law enforcement organizational factors contribute to higher incidence and racial disparities in police killings. To determine whether agency policies contribute to race-specific civilian fatalities, this exploratory study compared fatality rates among agencies with and without selected policies expected to reduce killings. A cross-section of 1085 fatalities in the 2015-2016 The Counted public-use database were matched to 481 agencies in the 2013 Law Enforcement Management and Administrative Statistics (LEMAS) database. Negative binomial regression estimated incidence rate ratios (IRR) adjusted for agency type, number of officers, percent female personnel, median income, percent with a bachelor's degree, violent crime rate, and population size, with inference using robust standard errors. Agencies with greater proportions of full-time personnel (range 43-100%) had lower rates of all (IRR = 0.85; 95% confidence interval [CI] = 0.77-0.93) and non-White civilian killings (IRR = 0.85; CI = 0.73-0.99). Mission statements predicted lower rates of all (IRR = 0.70; CI = 0.58-0.84) and White killings (IRR = 0.60; CI = 0.40-0.90). Community evaluation and more types of personnel incentives predicted lower rates of White (IRR = 0.82; CI = 0.68-0.99) and non-White killings (IRR = 0.94; CI = 0.89-1.00), respectively. Increasing video use predicted higher rates of White killings (IRR = 1.13; CI = 1.01-1.28). No policies were significantly associated with Black civilian killings. Law enforcement policies that help reduce police killings may vary across racial groups with the least benefit for Black civilians. Impact evaluations and meta-analyses of initiatives aimed to mitigate fatalities should be explored, particularly policies to address anti-Black bias. A national registry tracking all police killings and agency policies is urgently needed to inform law enforcement policies aimed to mitigate civilian fatalities.

Geospatial Distributions of Lead Levels Found in Human Hair and Preterm Birth in San Francisco Neighborhoods.

In San Francisco (SF), many environmental factors drive the unequal burden of preterm birth outcomes for communities of color. Here, we examine the association between human exposure to lead (Pb) and preterm birth (PTB) in 19 racially diverse SF zip codes. Pb concentrations were measured in 109 hair samples donated by 72 salons and barbershops in 2018-2019. Multi-method data collection included randomly selecting hair salons stratified by zip code, administering demographic surveys, and measuring Pb in hair samples as a biomarker of environmental exposure to heavy metals. Concentrations of Pb were measured by atomic emission spectrometry. Aggregate neighborhood Pb levels were linked to PTB and demographic data using STATA 16 SE (StataCorp LLC, College Station, TX, USA). Pb varied by zip code (p < 0.001) and correlated with PTB (p < 0.01). Increases in unadjusted Pb concentration predicted an increase in PTB (ß = 0.003; p < 0.001) and after adjusting for poverty (ß = 0.002; p < 0.001). Confidence intervals contained the null after further adjustment for African American/Black population density (p = 0.16), suggesting that race is more indicative of high rates of PTB than poverty. In conclusion, Pb was found in every hair sample collected from SF neighborhoods. The highest concentrations were found in predominately African American/Black and high poverty neighborhoods, necessitating public health guidelines to eliminate this environmental injustice.

Black and unarmed: statistical interaction between age, perceived mental illness, and geographic region among males fatally shot by police using case-only design.

PURPOSE: We examine whether the race and armed status interact to modify the risk of being fatally shot by police within categories of civilian age and mental illness status, and U.S. region. METHODS: Data are from The Washington Post online public-use database of all U.S. police-involved shooting deaths. The sample includes black and white males with known armed status who were killed from 1/1/2015 through 12/31/2019 (n = 3090). A case-only design is used to assess multiplicative interaction using adjusted logistic regression. RESULTS: The fully adjusted interaction estimate is null (SOR = 0.75; 95% confidence interval [CI] = 0.55-1.04). However, adjusted estimates within strata show that the risk of being armed versus unarmed when fatally shot is smaller for black than white males older than 54 years (SOR = 0.18; 95% CI = 0.06-0.65), those showing mental illness signs (SOR = 0.50; 95% CI = 0.26-0.98), and those killed in the South (SOR = 0.52; 95% CI = 0.33-0.83), and that the risk is greater in the Midwest (SOR = 2.42; 95% CI = 1.11-5.26). Notably, there is no black-white difference in armed status among younger age groups (SOR≈0.89). CONCLUSION: The race and armed status may interact leaving black males at a higher risk of being unarmed than white males when fatally shot by police among those older than 54 years, mentally impaired, and residing in the South. Causal interaction suggests a lower risk for unarmed blacks in the Midwest. Researchers should further explore the utility of the case-only design to study social-environmental interaction.

Accuracy of Primary Care Medical Home Designation in a Specialty Mental Health Clinic.

To assess whether primary care medical homes (PCMHs) are accurately identified for patients receiving care in a specialty mental health clinic within an integrated public delivery system. This study reviewed the electronic records of patients in a large urban mental health clinic. The study defined 'matching PCMH' if the same primary care clinic was listed in both the mental health and medical electronic records. This study designated all others as 'PCMH unknown.' This study assessed whether demographic factors predicted PCMH status using chi-square tests. Among 229 patients (66% male; mean age 49; 36% White, 30% Black, and 17% Asian), 72% had a matching PCMH. Sex, age, race, psychiatric diagnosis, and psychotropic medication use were not associated with matching PCMH. To improve care coordination and health outcomes for people with severe mental illness, greater efforts are needed to ensure the accurate designation of PCMHs in all mental health patient electronic records.

Racial Discrimination and Telomere Length in Midlife African American Women: Interactions of Educational Attainment and Employment Status.

BACKGROUND: Over the life course, African American (AA) women have faster telomere attrition, a biological indicator of accelerated aging, than White women. Race, sex, age, and composite socioeconomic status (SES) modify associations of institutional racial discrimination and telomere length. However, interactions with everyday racial discrimination have not been detected in AA women, nor have interactions with individual socioeconomic predictors. PURPOSE: We estimated statistical interaction of institutional and everyday racial discrimination with age, education, employment, poverty, and composite SES on telomere length among midlife AA women. METHODS: Data are from a cross-section of 140 AA women aged 30-50 years residing in the San Francisco Bay Area. Participants completed questionnaires, computer-assisted self-interviews, physical examinations, and blood draws. Adjusted linear regression estimated bootstrapped racial discrimination-relative telomere length associations with interaction terms. RESULTS: Racial discrimination did not interact with age, poverty, or composite SES measures to modify associations with telomere length. Interactions between independent SES variables were nonsignificant for everyday discrimination whereas institutional discrimination interacted with educational attainment and employment status to modify telomere length. After adjusting for covariates, we found that higher institutional discrimination was associated with shorter telomeres among employed women with lower education (ß = -0.020; 95% confidence interval = -0.036, -0.003). Among unemployed women with higher education, higher institutional discrimination was associated with longer telomeres (ß = 0.017; 95% confidence interval = 0.003, 0.032). Factors related to having a post-high school education may be protective against the negative effects of institutional racism on cellular aging for AA women.