Representation of Race and Ethnicity in Counseling and Counseling Psychology Journals

Literature reviews have concluded that People of Color are underrepresented in psychological literature; however, the fields of counseling and counseling psychology have taken a clear affirmative stance with respect to human diversity. This study sought to evaluate the representation of People of Color in four key journals across the 2000–2019 timespan: The Counseling Psychologist, Journal of Counseling Psychology, Journal of Counseling & Development, and Counselling Psychology Quarterly. Journal articles were coded for variables including focus on racial/ethnic minority (REM) groups and article content topics. Results indicated that 26.3% of the articles were coded as REM-focused (3.8% focused on African Americans, 4.1% on Asian Americans, 3.1% on Latinxs, and 0.7% on Native Americans). The need for additional research is especially notable in the case of Latinxs (the least represented REM group relative to United States Census estimates) and for several multicultural topics that remain underrepresented in the literature.

What a difference a year makes: A snapshot of the trends in vaccinations, hospitalizations, and mortality rates for SARS- CoV-2 across the state of Indiana

Background: Many efforts both scientifically and politically helped reduced the spread of SARS-CoV-2. In December of 2020, vaccinations were authorized for distribution. It is important to understand demographical correlations to COVID-19 acute illness rates and whether COVID-19 vaccinations significantly reduced these rates. Project Methods: This study focused on data from seventeen counties in Indiana. This information was used to determine if there were correlations between demographics and COVID-19 illness rates. County demographics were obtained from the United States Census Bureau. COVID-19 hospitalization and mortality were collected from the Regenstrief Institute and the Indiana State Department of Health respectively. Linear regression analyses were performed to determine if there were significant correlations between demographics and rates COVID-19 illness. T-test analyses assuming unequal variances were performed in order to determine if there has been a significant reduction in COVID-19 illness. Results: The results of this study revealed that the percentage of the population over the age of 65, with a bachelor’s degree, disabled under age 65, and the median income (r values: 0.729, 0.701, 0.661, and 0.533 respectively) are significantly correlated to the mortality rate. The percentage of the population over the age of 65 and with a bachelor’s degree (r values: 0.565 and 0.524 respectively) are significantly correlated to the hospitalization rate. When comparing the COVID-19 acute illness rates for each county from 07/27/20 until 02/01/21 to the rates after 02/01/21 until late- June of 2021, each county had significant decrease in the hospitalization and mortality rate after February 1, 2021. Potential Impact: The result of this study suggests that vaccinating residents was a significant factor in the 50% or higher reduction in COVID-19 hospitalization and mortality rates. These findings emphasize the importance of COVID-19 vaccinations to protect Americans from COVID-19 severe illness.

Improving assessment of urban racial segregation by partitioning a region into racial enclaves

Frequently, a single-value metric is needed to rank urban regions with respect to the level of multiracial segregation or to compare a segregation level of a single urban region at two different times. Assessment of segregation depends not only on a metric used but also on a choice of region’s partitioning. The standard practice is to partition the region into single-scale subregions. In the United States, census tracts are the subregions of choice. Census aggregation units including tracts are delineated without direct regard to racial homogeneity and are in fact heterogeneous. Consequently, using tracts as subdivisions leads to the underestimation of the segregation level of the entire region. Here we propose to partition a region into racial enclaves - units having boundaries that align with transitions between different racial compositions. By reflecting true demographic structure, such units minimize their internal racial inhomogeneity resulting in improved assessment of segregation. Enclaves are defined as aggregates of adjacent census blocks (smallest and the most racially homogeneous census units) of similar composition. In a typical US urban region effective population size of enclaves is an order of magnitude larger than the size of a census tract and yet the segregation calculated based on enclaves is larger than segregation based on census tracts. The proposed methodology is described and applied to a set of 61 largest cities in the U.S. in their metropolitan statistical areas (MSAs) as well as their urban areas (UAs) boundaries using 1990 and 2010 block-level data. The method is compared to the standard methodology using correlations between cities’ segregation rankings.

Telehealth Use By Persons with Disabilities During the COVID-19 Pandemic

Telehealth use rapidly expanded during the COVID-19 pandemic. Understanding if, and how, people from disabilities used telehealth during the pandemic is vital to assuring this evolving and increasingly common form of health care is equitably developed and delivered to avoid reproducing the health disparities people with disabilities already face. Our aim was to explore the use of telehealth among people with disabilities during the pandemic. We conducted a weighted secondary analysis of United States Census Bureau data (April-July 2021) from 38,512 (unweighted) people with disabilities. Our findings revealed 39.8% of people with disabilities used telehealth during the second year of the pandemic, ranging from 34.5% of people with hearing disabilities to 43.3% of people with mobility disabilities. There were also differences in telehealth use based on sociodemographics. Telehealth promises to open doors to more equitable health care access for many people with disabilities, but only if access barriers are removed.

Alzheimer’s Disease Among American Minority Populations: An Ecological Exploratory Study

A significant public health concern with regards to increasing rates of Alzheimer’s is that it disproportionately affects minority groups in the United States. The present ecological exploratory study uses secondary aggregate data from the fifty United States in the year of 2019. The purpose of this study was to address the disparities in Alzheimer’s in minority populations in the US and explore associated factors. The “minority” populations considered were African American and Latino populations, and the “majority” population was referred to as “white”. The data was extracted from the United States Census Bureau, the CDC National Center for Health Statistics, and the Behavioral Risk Factor Surveillance System (BRFSS) Dataset. The prevalence rates of Alzheimer’s disease are greatest in both older Latinos (12.2%) and African Americans (13.8%), compared to older whites (10.3%) in the investigated time period. Our results showed that being over 65 years old (p=.009), with a below-average ($62,843) median household income (p=.024), history of stroke (p=.029), and being a part of the Latino population (p=.036), were significantly associated with Alzheimer’s mortality rates in the United States. By identifying disparities in access to Alzheimer’s healthcare and at-risk communities, more comprehensive intervention strategies can be developed to promote change and advocate for more Alzheimer’s education and resource allocation for minority populations.

Post-pandemic consumer behavior towards e-commerce and retail stores in United States

COVID-19 profoundly impacted consumer behavior and psychology; this impact is perceived in social habits and shopping changes. Online stores have successfully boosted their sales, to the detriment of retail stores. This article aims to provide statistical analysis and evaluate consumers’ buying behavior by age groups toward retail and online stores for showing recommendations at online store entrepreneurs and retail store owners; thus, optimize costs and have higher sales projections. The methodology used is based on statistical data from various sources and databases such as Statista, United States Census Bureau, and international organizations, contrasted with the information obtained from 314 surveys conducted with consumers in different cities of the United States. In this study, statistical data and surveys upon groups of people were between twenty-two (22) to eighty (80) years old were analyzed. As a result, an increase in online shopping preferences was obtained, where the youngest population group leads the consumption in virtual platforms due to their familiarity with technology. In conclusion, there is a significant increase in online shopping, which is exacerbated by the pandemic.

What Makes Our Medical Laboratory Workforce Unique?

Introduction/Objective A career in the medical laboratory requires advanced education and technical training. To assist both employers and employees, several government organizations conduct demographic, education, and wage surveys for the general U.S. labor market. Through its workforce surveys, the American Society of Clinical Pathology (ASCP) does the same for the medical laboratory professions. Our aim was to compare the findings of these surveys and identify similarities and dissimilarities between the general labor pool and the medical laboratory workforce. Methods/Case Report Since the 2021 ASCP Wage survey is currently open, we reviewed the findings described in ASCP’s 2019 Wage Survey of Medical Laboratories in the United States (Am J Clin Pathol 2021;155:649-673) with the publicly available information (for 2019) on demographics, educational attainment, and average hourly earnings available on the websites of U.S. Bureau of Labor Statistics (www.bls.gov) as well as United States Census (www.census.gov). Results (if a Case Study enter NA) In 2019, the male: female ratio was 52.9:47.1 in general labor pool and 19.1:80.9 in the medical laboratory workforce. The average age of a worker in the general labor pool was 41.9 years and was 42 years in the medical laboratory workforce. The average hourly earnings were $27.99/hour in the general labor pool and ranged from $16.64/hour (phlebotomists) to $53.95/hour (pathologists assistants) in the medical laboratory workforce, with the MLS/MT/CLS earning $30.02/hour to $52.53/hour. While 33.1% adults in the U.S. have attained a bachelor’s degree or above, 73.79% have attained this in the medical laboratory workforce. Conclusion Compared to the general labor pool, the medical laboratory workforce is a highly educated workforce and has a higher participation by women. The average worker age and average hourly wage are comparable. We encourage laboratorians to participate in ASCP surveys since such surveys reveal data that can drive better prospects for the medical laboratory workforce.

Measuring the effects of institutional pediatric traumatic brain injury volume on outcomes for rural-dwelling children

OBJECTIVE Rural-dwelling children may suffer worse pediatric traumatic brain injury (TBI) outcomes due to distance from and accessibility to high-volume trauma centers. This study aimed to compare the impacts of institutional TBI volume and sociodemographics on outcomes between rural- and urban-dwelling children. METHODS This retrospective study identified patients 0–19 years of age with ICD-9 codes for TBI in the 2012–2015 National Inpatient Sample database. Patients were characterized as rural- or urban-dwelling using United States Census classification. Logistic and linear (in log scale) regressions were performed to measure the effects of institutional characteristics, patient sociodemographics, and mechanism/severity of injury on occurrence of medical complications, mortality, length of stay (LOS), and costs. Separate models were built for rural- and urban-dwelling patients. RESULTS A total of 19,736 patients were identified (median age 11 years, interquartile range [IQR] 2–16 years, 66% male, 55% Caucasian). Overall, rural-dwelling patients had higher All Patient Refined Diagnosis Related Groups injury severity (median 2 [IQR 1–3] vs 1 [IQR 1–2], p < 0.001) and more intracranial monitoring (6% vs 4%, p < 0.001). Univariate analysis showed that overall, rural-dwelling patients suffered increased medical complications (6% vs 4%, p < 0.001), mortality (6% vs 4%, p < 0.001), and LOS (median 2 days [IQR 1–4 days ] vs 2 days [IQR 1–3 days], p < 0.001), but multivariate analysis showed rural-dwelling status was not associated with these outcomes after adjusting for injury severity, mechanism, and hospital characteristics. Institutional TBI volume was not associated with medical complications, disposition, or mortality for either population but was associated with LOS for urban-dwelling patients (nonlinear beta, p = 0.008) and cost for both rural-dwelling (nonlinear beta, p < 0.001) and urban-dwelling (nonlinear beta, p < 0.001) patients. CONCLUSIONS Overall, rural-dwelling pediatric patients with TBI have worsened injury severity, mortality, and in-hospital complications, but these disparities disappear after adjusting for injury severity and mechanism. Institutional TBI volume does not impact clinical outcomes for rural- or urban-dwelling children after adjusting for these covariates. Addressing the root causes of the increased injury severity at hospital arrival may be a useful path to improve TBI outcomes for rural-dwelling children.

Routine Activity Theory and Farm Equipment Theft: A Macro-Level Approach

Though a handful of studies have explored the relationship between farm characteristics and theft of farm equipment, all have been focused at the micro level. Put differently, they have sought to determine whether a relationship exists between likelihood of theft victimization and the characteristics (e.g., size, location) of individual farming operations. The current study builds upon this work by seeking to determine whether county-level factors (in line with the routine activity theory framework) serve to influence the incidence of farm equipment theft within counties. Data are derived from the National Incident-Based Reporting System, the Census of Agriculture and the United States Census of the Population. Results are on the whole supportive of the theory's application to the problem and suggest that macro-level investigations constitute a worthwhile approach to better understanding agricultural victimization.