The Colonial History of Systemic Racism: Insights for Psychological Science.

The psychological study of systemic racism can benefit from the converging insights of "Black Marxism" and development economics, which illustrate how modern systemic racism is rooted in the political and economic institutions established during the historical period of European colonization. This article explores how these insights can be used to study systemic racism and challenge scientific racism in psychology by rethinking traditional research paradigms to incorporate the histories of race, class, and capitalism. Antiracism strategies that make use of these histories are also discussed, which include disrupting the psychological processes that sustain racist systems.

The Effects of Social Skills Interventions for Students With EBD and ASD: A Single-Case Meta-Analysis.

Social skills interventions are critical for promoting social, emotional, and behavioral competence for students with or at risk of emotional and behavioral disorders (EBD) and autism spectrum disorders (ASD). This single-case meta-analysis examined the effects of social skills interventions (SSIs) for students with EBD and ASD. Effect sizes were calculated for 78 cases across 25 included studies using a nonparametric effect size, Baseline Corrected Tau. The overall weighted mean effect size of 0.54 suggested a moderate effect across the 25 studies. The overall weighted mean effects for studies reporting maintenance and generalization data were 0.68 and 0.37, respectively. Potential moderators examined (disability, intervention design, intervention delivery, methodological quality) were not significant. As such, they did not moderate the outcomes for participants. We conducted a post hoc analysis and hypothesized that between-study differences may be more meaningful than the similarities shared by participants in the same moderator groups. Implications are discussed on using SSIs to address the social, emotional, and behavioral challenges of students with or at risk of EBD and ASD.

Rural mental health service utilization in a Texas telepsychology clinic.

OBJECTIVE: To determine if service utilization behaviors varied with the remoteness of clients served by a telepsychology clinic in a predominantly rural health professional shortage area (HPSA) in Texas. METHODS: Archival data from 290 low-income clients were analyzed to test associations between service utilization behaviors and clients' distance from the nearby access points where they traveled to receive counseling services from remotely located counselors. RESULTS: Distance to access points did not predict differences in service utilization behaviors. However, clients in rural counties traveled farther to receive services than clients in metropolitan areas. Some utilization behaviors varied by demographic variables and depressive symptom severity. CONCLUSIONS: A "hub and spoke" model of telehealth service delivery is an acceptable model for improving access to mental health care services in rural and underserved communities, even for clients who live relatively far from access points. Telehealth providers should consider geographic, socioeconomic, transportation, and health-related barriers to care experienced by clients when implementing services and policies.

Rural Status, Suicide Ideation, and Telemental Health: Risk Assessment in a Clinical Sample.

OBJECTIVE: Individuals living in rural areas die by suicide at higher rates than those living in metropolitan areas. Telemental health interventions provide rural residing individuals with access to needed care. Identifying telemental health clients at risk for suicide is an important task for clinicians and policymakers. This study evaluated to what degree rural status and other demographic variables predicted suicide ideation in clients seeking services at a telemental health clinic. METHODS: Study participants included 457 low-income clients residing in the medically underserved, geographically diverse Brazos Valley region of Texas. Clients completed the patient health questionnaire during their initial counseling appointment, which assessed depression severity and suicide ideation in the 2 weeks prior to assessment. RESULTS: Suicide ideation was common among telemental health clients, with approximately 40% of clients in all demographic groups reporting some recent thoughts of suicide. Rates of suicide ideation did not significantly differ by geographic designation (ie, rural/metropolitan status), gender, or race/ethnicity. However, depression was a strong predictor of recent suicide ideation. CONCLUSIONS: Telemental health programs can effectively connect clinicians with rural residing clients who are otherwise isolated from health care services. However, clinicians working in high-need, historically underserved areas should be prepared to encounter a high prevalence of suicide ideation and depression. In these regions, clinical and diagnostic features may be better indicators of suicide ideation than demographic variables.

Telemental health training and delivery in primary care: A case report of interdisciplinary treatment.

Telehealth can overcome access and availability barriers that often impede receiving needed mental health services. This case report describes an interdisciplinary approach to treatment for an individual with chronic physical health conditions and comorbid mental health concerns, which resulted in high utilization (and associated costs) of preventable emergency services. The report describes clinical case progression on anxiety symptoms and emergency service utilization while concurrently highlighting telehealth-specific practice implications, especially as they pertain to training settings.

A comprehensive method of single-case data analysis: Interrupted Time-Series Simulation (ITSSIM).

Single-case experimental methods are used across a range of educational and psychological research. Single-case data are analyzed with a variety of methods, but no statistic has demonstrated clear superiority over other methods. The time-series nature of single-case designs requires special consideration for baseline trend and autocorrelation when estimating intervention effect size. However, standard correction methods are limited because they assume precise statistical estimation of trend and autocorrelation. Unlike standard correction methods, Monte Carlo simulation methods can address the poor precision of single-case effect size indices. This paper presents the rationale for a new simulation method, Interrupted Time-Series Simulation (ITSSIM). A small field test was also conducted, and ITSSIM performed similarly to sophisticated multilevel methods for single-case research. ITSSIM is accessible as a free software application that requires no prior knowledge of statistical computing or syntax. ITSSIM may be used to estimate the effect size of a single interrupted time-series (AB design), and multiple ITSSIM effect size estimates may be combined via meta-analysis. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

An Improved Rank Correlation Effect Size Statistic for Single-Case Designs: Baseline Corrected Tau.

Measuring treatment effects when an individual's pretreatment performance is improving poses a challenge for single-case experimental designs. It may be difficult to determine whether improvement is due to the treatment or due to the preexisting baseline trend. Tau- U is a popular single-case effect size statistic that purports to control for baseline trend. However, despite its strengths, Tau- U has substantial limitations: Its values are inflated and not bound between -1 and +1, it cannot be visually graphed, and its relatively weak method of trend control leads to unacceptable levels of Type I error wherein ineffective treatments appear effective. An improved effect size statistic based on rank correlation and robust regression, Baseline Corrected Tau, is proposed and field-tested with both published and simulated single-case time series. A web-based calculator for Baseline Corrected Tau is also introduced for use by single-case investigators.

Health-related quality of life of rural clients seeking telepsychology services.

Sixty million US residents live in rural areas, but health policies and interventions developed from an urban mindset often fail to address the significant barriers to health experienced by these local communities. Telepsychology, or psychological services delivered by distance via technology, is an emerging treatment modality with special implications for underserved rural areas. This study found that a sample of rural residents seeking telepsychology services (n = 94) had low health-related quality of life (HRQOL), often due to cooccurring physical and mental health diagnoses including high rates of depression. However, a brief telepsychology treatment delivered to rural clients (n = 40) was associated with an improvement in mental health-related quality of life (d = 0.70, P < .001). These results indicate that despite the complex health needs of these underserved communities, telepsychology interventions may help offset the disparities in health service access in rural areas.