Socioeconomic Disparities and the Prevalence of Antimicrobial Resistance.

BACKGROUND: The increased prevalence of antimicrobial resistant (AMR) infections is a significant global health threat, resulting in increased morbidity, mortality, and costs. The drivers of AMR are complex and potentially impacted by socioeconomic factors. We investigated the relationships between geographic and socioeconomic factors and AMR. METHODS: We collected select patient bacterial culture results from 2015 to 2020 from electronic health records (EHR) of two expansive healthcare systems within the Dallas-Fort Worth, TX (DFW) metropolitan area. Among individuals with EHR records who resided in the four most populus counties in DFW, culture data were aggregated. Case counts for each organism studied were standardized per 1,000 persons per area population. Using residential addresses, the cultures were geocoded and linked to socioeconomic index values. Spatial autocorrelation tests identified geographic clusters of high and low AMR organism prevalence and correlations with established socioeconomic indices. RESULTS: We found significant clusters of AMR organisms in areas with high levels of deprivation, as measured by the Area Deprivation Index (ADI). We found a significant spatial autocorrelation between ADI and the prevalence of AMR organisms, particularly for AmpC and MRSA with 14% and 13%, respectively, of the variability in prevalence rates being attributable to their relationship with the ADI values of the neighboring locations. CONCLUSIONS: We found that areas with a high ADI are more likely to have higher rates of AMR organisms. Interventions that improve socioeconomic factors such as poverty, unemployment, decreased access to healthcare, crowding, and sanitation in these areas of high prevalence may reduce the spread of AMR.

Cultural context index: A geospatial measure of social determinants of health in the United States.

Minority populations will continue to grow in the United States. Such pluralism necessitates iterative, geospatial measurements of cultural contexts. Our objective in this study was to create a measure of social determinants of health in geographic areas with varying ethnic, linguistic, and religious diversity in the United States. We extracted geographic information systems data based on community characteristics that have known associations with population health disparities from 2015 to 2019. We used principal component analysis to construct a Cultural Context Index (CCI). We created the CCI for 73,682 census tracts across 50 states and five inhabited territories. We identified hot and cold spots that are the highest and lowest CCI quintile, respectively. Hot spots census tracts were mostly located in metropolitan areas (84.8%), in the Southern census region (41.5%), and also had larger Black and Hispanic populations. The census tracts with the greatest need for culturally competent health care also had the sickest populations. Census tracts with a CCI rank of 5 ('greatest need') had higher prevalences of self-reported poor physical health (17.2%) and poor mental health (17.4%), compared to either the general population (13.9% and 14.5%) or to CCI rank of 1 ('lowest need') (11.9% and 10.8%). The CCI can pinpoint census tracts with a need for culturally competent health care and inform supply-side policy planning as healthcare and social service providers will inevitably come in contact with consumers from different backgrounds.

Correction: The Association of a Geographically Wide Social Media Network on Depression: County-Level Ecological Analysis.

[This corrects the article DOI: 10.2196/43623.].

The Association of a Geographically Wide Social Media Network on Depression: County-Level Ecological Analysis.

BACKGROUND: Social connectedness decreases human mortality, improves cancer survival, cardiovascular health, and body mass, results in better-controlled glucose levels, and strengthens mental health. However, few public health studies have leveraged large social media data sets to classify user network structure and geographic reach rather than the sole use of social media platforms. OBJECTIVE: The objective of this study was to determine the association between population-level digital social connectedness and reach and depression in the population across geographies of the United States. METHODS: Our study used an ecological assessment of aggregated, cross-sectional population measures of social connectedness, and self-reported depression across all counties in the United States. This study included all 3142 counties in the contiguous United States. We used measures obtained between 2018 and 2020 for adult residents in the study area. The study's main exposure of interest is the Social Connectedness Index (SCI), a pair-wise composite index describing the "strength of connectedness between 2 geographic areas as represented by Facebook friendship ties." This measure describes the density and geographical reach of average county residents' social network using Facebook friendships and can differentiate between local and long-distance Facebook connections. The study's outcome of interest is self-reported depressive disorder as published by the Centers for Disease Control and Prevention. RESULTS: On average, 21% (21/100) of all adult residents in the United States reported a depressive disorder. Depression frequency was the lowest for counties in the Northeast (18.6%) and was highest for southern counties (22.4%). Social networks in northeastern counties involved moderately local connections (SCI 5-10 the 20th percentile for n=70, 36% of counties), whereas social networks in Midwest, southern, and western counties contained mostly local connections (SCI 1-2 the 20th percentile for n=598, 56.7%, n=401, 28.2%, and n=159, 38.4%, respectively). As the quantity and distance that social connections span (ie, SCI) increased, the prevalence of depressive disorders decreased by 0.3% (SE 0.1%) per rank. CONCLUSIONS: Social connectedness and depression showed, after adjusting for confounding factors such as income, education, cohabitation, natural resources, employment categories, accessibility, and urbanicity, that a greater social connectedness score is associated with a decreased prevalence of depression.

Identifying violence against persons at a safety-net hospital: Evidence from the first 6 months of implementation.

OBJECTIVE: To examine the prevalence and predictors of screening for violence against persons and victim service utilization within an integrated safety-net health system. STUDY SETTING: Emergency Department (ED) at Parkland Hospital-Dallas County's largest safety-net provider of services for minority and underinsured and uninsured patients. STUDY DESIGN: Prospective, longitudinal study during the first 6 months of a universal violence against persons screener. DATA COLLECTION: Health records were extracted for all patients with a visit to the ED between January and July, 2021. Modeling described the patient population across screening (screened vs. not screened) and, among those screened, the results (positive vs. negative), average time spent in the ED, and referral patterns for victim services. PRINCIPAL FINDINGS: During the study period, 65,563 unique patients with 95,555 encounters occurred. Seventy-one percent (n = 67,535) were screened for violence against persons and, of those, 2% screened positive (n = 1349). Of the patients who screened positive, 1178 (87%) were referred to and 806 (60%) received care at victim services. Implementing screening did not increase the length of stay at ED. CONCLUSIONS: Systematic implementation of comprehensive violence screening at a safety-net system can result in robust identification and timely referrals to victim services.

Differences in Suicidality in Non-Treatment-Seeking and Treatment-Seeking Law Enforcement Officers: A Cross-sectional Study.

OBJECTIVE: Law enforcement officers (LEOs) are exposed to high levels of occupational trauma and face added stress from heightened public scrutiny and COVID-19, which may result in suicide. It is crucial to understand differences between LEOs who seek treatment and those who do not. METHOD: We compared LEOs from the same greater metropolitan area who sought treatment with those who did not. Participants completed validated measures assessing posttraumatic stress disorder, generalized anxiety, depression, and suicidality. RESULTS: The treatment-seeking sample scores were higher on all standardized assessments. Bivariate logistic regression results indicated that the non-treatment-seeking sample's odds of experiencing suicidality were 1.76 times the odds for the treatment seeking sample. Conclusions: This suggests that many LEOs experiencing suicidality may not be seeking treatment and highlights the role that posttraumatic stress disorder may play in determining whether LEOs seek treatment or not.

Possible substance use disorders among first responders during the COVID-19 era: a quasi-experimental study of personal and residential vulnerability.

Background: During the COVID-19 pandemic possible substance use disorders (SUD) were exacerbated from increased stress and isolation. Experiences of symptomology differ widely by occupations.Objectives: The objectives were to determine if there is a temporal relationship between COVID-19 vulnerability and possible SUDs among first responders, and to examine the association with neighborhood vulnerability.Methods: We conducted an analysis with two distinct cohorts dependent on time of entry: 1) First responders that began counseling prior to COVID-19 and 2) First responders that began counseling after the start of COVID-19. Data were collected at intake from first responders seeking mental health services between 2017 and 2021 at an organization in Dallas/Fort Worth, Texas. The study sample included 195 mostly male (75%) first responders (51% law enforcement officers; 49% emergency medical technicians/firefighters). Bivariate models tested unadjusted relationships between covariates and possible SUD. Adjusted models consisted of a two-level multivariable logistic regression models.Results: Nearly 40% (n = 77) screened positive for a possible SUD. Those beginning counseling after COVID-19 did not have higher odds of SUDs. For every unit increase in neighborhood Severe COVID-19 Health Risk Index at a first responder's residential location there was an increase in the odds of a possible SUD (AOR = 3.14, 95% CI: 1.47, 6.75).Conclusions: Our study highlights the degree to which personal and residential vulnerability to COVID-19 impacted first responders. The increased occupational stress of this population, and an established pattern of maladaptive coping, elucidates the need for preventative and clinical approaches to strengthen the resilience of this population.

Prevalence of Mental Illness and Mental Health Care Use Among Police Officers.

Importance: Limited literature has characterized patterns of mental illnesses and barriers in seeking mental health care among police officers. Objectives: To assess the prevalence of mental illness (diagnosis) and symptoms of mental illness, evaluate the characteristics of officers interested in seeking mental health care, and characterize perceptions of mental health care use. Design, Setting, and Participants: This survey study was conducted among officers at a large police department in Dallas-Fort Worth, Texas. Focus group sessions were conducted from April 1, 2019, to November 30, 2019, and the survey was conducted from January 1 to February 27, 2020. A total of 446 sworn, employed patrol officers who were present during the recruitment briefing were eligible to participate in surveys and focus groups. Main Outcomes and Measures: Officers reported lifetime or current diagnosis of depression, anxiety, and posttraumatic stress disorder, as well as current mental health symptoms (using validated screeners of depression, anxiety, posttraumatic stress disorder, and suicidal ideation or self-harm) and mental health care use in the past 12 months. Focus group data were collected to contextualize mental health care use. Logistic regression analyses were used for quantitative data, and focus groups were iteratively coded by 4 coders using inductive and deductive thematic identification. Results: Of the 446 officers invited to participate, 434 (97%) completed the survey (mean [SD] age, 37 [10] years; 354 [82%] male; 217 White [50%]). Of these officers, 19 (17%) had sought mental health care services in the past 12 months. A total of 54 officers (12%) reported a lifetime mental health diagnosis, and 114 (26%) had positive screening results for current mental illness symptoms. Among officers with positive screening results, the odds of interest in using mental health services was significantly higher for officers with suicidal ideation or self-harm than for those who did not (adjusted odds ratio, 7.66; 95% CI, 1.70-34.48). Five focus groups were conducted with 18 officers and found 4 primary barriers in accessing mental health services: (1) inability to identify when they are experiencing a mental illness, (2) concerns about confidentiality, (3) belief that psychologists cannot relate to their occupation, and (4) stigma that officers who seek mental health services are not fit for duty. Conclusions and Relevance: The study found that although few officers were seeking treatment, they were interested in seeking help, particularly those with suicidal ideation or self-harm. Additional interventions appear to be needed to systematically identify and refer officers to health care services while mitigating their concerns, such as fear of confidentiality breach.

Cumulative, high-stress calls impacting adverse events among law enforcement and the public.

BACKGROUND: The unpredictable, and sometimes dangerous, nature of the occupation exposes officers to both acute and chronic stress over law enforcement officers' (LEO)  tenure. The purpose of this study is two-fold: 1) Describe multi-level characteristics that define high-stress calls for service for LEO; and 2) Characterize factors that impact cumulative stress over the course of a LEO's shift. METHODS: Qualitative data were collected from 28 LEOs at three law enforcement agencies in the Dallas-Fort Worth areas from April 2019 to February 2020. Focus group data were iteratively coded by four coders using inductive and deductive thematic identification. RESULTS: Five multi-level factors influenced officer stress: 1) officer characteristics (e.g. military experience; gender); 2) civilian behavior (e.g. resistance, displaying a weapon); 3) supervisor factors (micromanagement); 4) environmental factors (e.g. time of year); and, 5) situational factors (e.g. audience present; complexity of calls). Four themes that characterized cumulative stress: 1) cyclical risk; 2) accelerators; 3) decelerators; and 4) experience of an adverse event. CONCLUSIONS: LEOs become susceptible to adverse events (e.g. injury, excessive use of force) after repeated exposure to high-stress calls for service. Ongoing exposures to stress continue to occur throughout the shift. Our long-term goal is to interrupt this repetitive, cumulative process by restricting the number of consecutive high-risk, high-intensity calls an officer is permitted to respond to.