Assessing the Horatio Alger myth: Is self-employment especially beneficial for those from less-advantaged family backgrounds?

The findings of this study contradict the popular belief that self-employment is especially beneficial as a path to economic progress for those from more disadvantaged backgrounds. Data from the National Longitudinal Survey of Youth 1979 Cohort (NLSY79) show that the relative earnings gain from being self-employed rather than working for an organization actually increases with the level of socioeconomic background. Those from a higher socioeconomic background can expect to earn much more in self-employment than in organizational employment while those from the lower socioeconomic background can expect to earn much less. While there are some indications that the more disadvantaged are more likely to attain very high incomes if they do become self-employed, the percentage of this group who attain higher incomes through self-employment is lower than it is for higher socioeconomic groups.     

Influence of aboveground tree biomass,home age,and yard maintenance on soil carbon levels in residential yards

With the rapid urbanization of natural lands, researchers have begun to examine the capacity of urban soils to store carbon (C), with recent attention to residential yards. We performed a case study to examine four potential influences on soil C levels in residential yards. In 67 yards containing trees, we examined the relationship of soil C (kg m^?2) to tree aboveground biomass, home age (3–87 years), yard maintenance (fertilization, irrigation, mulching or bagging lawn clippings), and soil texture (% clay, % sand, % silt), at three depths (0–15 cm, 15–30 cm, and 30–50 cm). Six tree aboveground biomass data sets were developed: 1) biomass, 2) biomass*(1/distance from tree), 3) biomass?≤?15 m from sample site, 4) biomass?≤?10 m, 5) biomass?≤?5 m, and 6) biomass?≤?4 m. Biomass?≤?5 m and biomass?≤?4 m had the greatest explanatory power for soil C at 30–50 cm depth (P?=?0.001, R²?=?0.28; P?=?0.05 R²?=?0.39, respectively). The relationship between soil C and home age was positive at 0–15 cm (P?=?0.0003, R²?=?0.19), but constant at the two lower depths. Yard maintenance had no significant influence on soil C levels across home age. At 0–15 cm, soil C increased with % silt (P?=?0.006, R²?=?0.12). Overall, trees in turfgrass yards may have a stabilizing effect on soil C levels below 15 cm but minimal influence above 15 cm.     

Implementation of a Collaborative Care Initiative for PTSD and Depression in the Army Primary Care System

Collaborative care models hold promise as a means to improve the Military Health System (MHS) to better meet the mental health needs of U.S. military personnel. This article describes an Army-wide collaborative care initiative, RESPECT-Mil (“Re-engineering Systems of Primary Care Treatment for Depression and PTSD in the Military”), aimed at improving care for soldiers with depression and post traumatic stress disorder. Essential to the implementation of RESPECT-Mil has been the use of a centralized coordinating team to facilitate collaborative care practice and policy activities across the multiple levels of the MHS. The article explores the relevance of collaborative care frameworks to the social work profession and concludes with a discussion of future directions for the social work field to promote greater involvement in the integrated care movement.     

Racial inequality and the recognition of racial discrimination in Jamaica

A growing body of literature posits that a population’s denial of the salience of racial discrimination acts as a mechanism of its perpetuation. Moreover, scholars locate a population’s propensity to deny racial discrimination in contemporary ideologies of racial mixing or ethnic fusion. Most quantitative studies of public opinion on these issues are limited to Latin America and the Spanish-speaking Caribbean. This study examines the case of Jamaica. We first (1) examine the extent of Jamaica’s contemporary racial inequality using national census data. We then (2) use nationally representative data from the AmericasBarometer social survey to determine the extent to which a recognition of racial discrimination characterizes Jamaican public opinion. Finally, we (3) explore the salience of an ideology of racial mixing in Jamaica and (4) test whether that ideology affects the likelihood that Jamaicans acknowledge contemporary racial discrimination. Our findings document dramatic social inequality by skin colour in Jamaica and suggest that a majority embrace an ideology that racial mixing is negatively associated with Jamaicans’ recognition of racial discrimination. We discuss our findings and their implications for understanding ideologies of racial mixing and racial inequality in the Americas.     

Sexual vs. Nonsexual Currently Most Upsetting Trauma: A Fresh Look at Attenuation of Sexual Response,Alcohol Intoxication,and Post-Traumatic Stress

This study examined the dependence of sexual response (vaginal pulse amplitude [VPA] and subjective sexual arousal) on alcohol intoxication (.10% breath alcohol concentration [BrAC] versus no alcohol) and the nature of a woman’s currently most upsetting traumatic event (C-MUTE), whether it was sexual (e.g., rape) or nonsexual (e.g., combat). Self-reported sexual outcomes were also compared by C-MUTE type. A total of 117 women completed background measures and either drank alcoholic or nonalcoholic beverages. They were shown erotic films and their VPA was assessed. A two (sexual versus nonsexual C-MUTE) by two (.10% BrAC versus no alcohol) analysis of variance (ANOVA) showed that, controlling for post-traumatic stress (PTS) symptoms, women with a sexual C-MUTE showed lower percent VPA change than women with a nonsexual C-MUTE. No significant effects were found for subjective sexual arousal. A multivariate analysis of variance (MANOVA) showed that women with a sexual C-MUTE reported more frequent anxiety and inhibition during partnered sex and more frequent lack of vaginal lubrication versus women with a nonsexual C-MUTE. There was no significant interaction between C-MUTE and alcohol intoxication. Whether a woman is currently upset by past sexual victimization may influence current sexual difficulties. Attenuated VPA may be attributable to the sexual nature of a C-MUTE as opposed to general trauma exposure.     

Improving interim decisions in randomized trials by exploiting information on short‐term endpoints and prognostic baseline covariates

Conditional power calculations are frequently used to guide the decision whether or not to stop a trial for futility or to modify planned sample size. These ignore the information in short‐term endpoints and baseline covariates, and thereby do not make fully efficient use of the information in the data. We therefore propose an interim decision procedure based on the conditional power approach which exploits the information contained in baseline covariates and short‐term endpoints. We will realize this by considering the estimation of the treatment effect at the interim analysis as a missing data problem. This problem is addressed by employing specific prediction models for the long‐term endpoint which enable the incorporation of baseline covariates and multiple short‐term endpoints. We show that the proposed procedure leads to an efficiency gain and a reduced sample size, without compromising the Type I error rate of the procedure, even when the adopted prediction models are misspecified. In particular, implementing our proposal in the conditional power approach enables earlier decisions relative to standard approaches, whilst controlling the probability of an incorrect decision. This time gain results in a lower expected number of recruited patients in case of stopping for futility, such that fewer patients receive the futile regimen. We explain how these methods can be used in adaptive designs with unblinded sample size re‐assessment based on the inverse normal P‐value combination method to control Type I error. We support the proposal by Monte Carlo simulations based on data from a real clinical trial.     

Clinician Perspectives on the Circle of Security‐Parenting (COS‐P) Program: A Qualitative Study

This study examined the perspectives of clinicians who facilitate Circle of Security‐Parenting (COS‐P) groups in community health settings. The therapists were from two services: a specialist perinatal and infant mental health consultation service and a child at risk health service. In particular, we were interested in their perceptions of the strengths, weaknesses, challenges, and possible improvements to the model as applied to their clinical settings. Two focus group interviews, involving eight clinicians and clinical supervisors from a diverse range of professional backgrounds, were conducted by an independent interviewer. A discussion guide consisted of a series of open‐ended questions related to the participants’ experiences of delivering COS‐P. Therapists found COS‐P to be effective, feasible to deliver, user‐friendly, flexible, and generalisable to diverse client subgroups. The compassionate and non‐judgmental therapeutic stance was considered a strength of the model. Clinicians highlighted their adoption of the model across their professional and personal lives and the critical importance of supervision. In conclusion, COS‐P is a popular and promising intervention which targets the parent–child relationship that can be successfully delivered to mothers affected by moderate to severe mental health problems.     

Mental health service navigation: a scoping review of programmatic features and research evidence

ABSTRACT

Service navigation is a care coordination approach that is designed to resolve barriers and facilitate access to needed services. Originating within primary and specialty health care sectors, navigation models have recently emerged to support engagement with mental health services. Presently little is known about the nature, extent, and research evidence for mental health service navigation programs. To address this gap in knowledge, this study undertook a scoping review to identify, describe, and appraise current models of mental health service navigation. Data sources included PsychINFO, Medline, CINAHL, and Google Scholar. Inclusion eligibility required studies to describe a study design, recruitment strategy, navigation approach, sample characteristics, and study outcomes. Searches were constrained to English language and published after January 1, 2000. Twenty-five studies met the inclusion criteria. Navigation programs targeted diverse populations and were delivered in-person, by telephone, and online. Navigators included peers, paraprofessionals, clinicians, teams, and web applications. Eleven studies reported results from randomized trials, remaining programs employed program evaluation, qualitative, or CBPR methodologies. Common features of navigation programs included engagement, assessment, service identification, referral, and monitoring/follow-up. Current evidence for mental health service navigation is promising, although additional rigorous randomized controlled trials are needed.     

Automated selection of post‐strata using a model‐assisted regression tree estimator

Despite having desirable properties, model‐assisted estimators are rarely used in anything but their simplest form to produce official statistics. This is due to the fact that the more complicated models are often ill suited to the available auxiliary data. Under a model‐assisted framework, we propose a regression tree estimator for a finite‐population total. Regression tree models are adept at handling the type of auxiliary data usually available in the sampling frame and provide a model that is easy to explain and justify. The estimator can be viewed as a post‐stratification estimator where the post‐strata are automatically selected by the recursive partitioning algorithm of the regression tree. We establish consistency of the regression tree estimator and a variance estimator, along with asymptotic normality of the regression tree estimator. We compare the performance of our estimator to other survey estimators using the United States Bureau of Labor Statistics Occupational Employment Statistics Survey data.