Independent Mental Health Advocacy: A Model of Social Work Advocacy?

ABSTRACT

Advocacy has received less attention in social work research than other aspects of social work practice. This paper draws attention to two tensions in social work advocacy; between worker-led advocacy and person-led advocacy, and between individual advocacy and system level advocacy. We argue that human-rights-based social workers must choose a person-led approach over a worker-led approach while advocating with both systems and individuals. This argument is made by drawing on findings of an evaluation of Independent Mental Health Advocacy (IMHA) in Victoria, Australia. It is shown that social work training had not prepared social workers for rights-based, person-led advocacy and that social workers in public mental health services were struggling to maintain the rights of people in their services even with assistance from IMHA.

IMPLICATIONS

• Independent Mental Health Advocacy (IMHA) is a model of advocacy influenced by social work theory and delivered in part by social-work-trained advocates.

• Social work training is not preparing social workers for person-led, human-rights-based advocacy.

• Public mental health social workers are struggling to maintain the rights of people in mental health services even with the support of external advocacy services.

     

Parental Divorce and College Students’ Persistence and Degree Attainment

The purpose of this study is to analyze whether college students from divorced families are more or less likely than their peers to persist and graduate in 4, 5, or 6 years. Utilizing data from the 2007 Cooperative Institutional Research Program survey of first-year students, the results of multinomial logistic regression analyses suggest that students whose parents were divorced were significantly less likely to graduate in 4, 5, or 6 years. These findings held controlling for demographic variables, precollege academic indicators, college experiences, and academic motivation.     

Floral abundance and richness drive beneficial arthropod conservation and biological control on golf courses

Urban Ecosystems - Golf courses are among the largest, most ubiquitous highly maintained urban green spaces in the U.S. Although their primary function is recreation, a large portion of golf course...     

Temperamental,Parental, and Contextual Contributors to Early‐emerging Internalizing Problems: A New Integrative Analysis Approach

This study evaluated a comprehensive model of factors associated with internalizing problems (IP) in early childhood, hypothesizing direct, mediated, and moderated pathways linking child temperamental inhibition, maternal overcontrol and rejection, and contextual stressors to IP. In a novel approach, three samples were integrated to form a large sample (N = 500) of Canadian children (2–6 years; M = 3.95 years; SD = .80). Items tapping into the same constructs across samples were used to create parallel measures of inhibited temperament, maternal positive, critical, and punitive parenting, maternal negative emotionality, family socioeconomic and structural stressors, and child's IP. Multiple‐groups structural equation modeling indicated that associations were invariant across samples and did not differ for boys and girls. Child inhibition, less positive and more critical parenting, maternal negative emotionality, and family socioeconomic disadvantage were found to have direct associations with IP. In addition, maternal negative emotionality was associated with IP through more critical parenting, and both maternal negative emotionality and socioeconomic stress were associated with IP through less positive parenting. Results highlight the multiple independent and cumulative risk factors for early IP and demonstrate the power of integrating data across developmental studies.     

A Quantitative Microbial Risk Assessment Model for Legionnaires'' Disease: Animal Model Selection and Dose-Response Modeling

Legionnaires' disease (LD), first reported in 1976, is an atypical pneumonia caused by bacteria of the genus Legionella, and most frequently by L. pneumophila (Lp). Subsequent research on exposure to the organism employed various animal models, and with quantitative microbial risk assessment (QMRA) techniques, the animal model data may provide insights on human dose-response for LD. This article focuses on the rationale for selection of the guinea pig model, comparison of the dose-response model results, comparison of projected low-dose responses for guinea pigs, and risk estimates for humans. Based on both in vivo and in vitro comparisons, the guinea pig (Cavia porcellus) dose-response data were selected for modeling human risk. We completed dose-response modeling for the beta-Poisson (approximate and exact), exponential, probit, logistic, and Weibull models for Lp inhalation, mortality, and infection (end point elevated body temperature) in guinea pigs. For mechanistic reasons, including low-dose exposure probability, further work on human risk estimates for LD employed the exponential and beta-Poisson models. With an exposure of 10 colony-forming units (CFU) (retained dose), the QMRA model predicted a mild infection risk of 0.4 (as evaluated by seroprevalence) and a clinical severity LD case (e.g., hospitalization and supportive care) risk of 0.0009. The calculated rates based on estimated human exposures for outbreaks used for the QMRA model validation are within an order of magnitude of the reported LD rates. These validation results suggest the LD QMRA animal model selection, dose-response modeling, and extension to human risk projections were appropriate.     

Regression models for analyzing clustered binary and continuous outcomes under an assumption of exchangeability

Scientific experiments commonly result in clustered discrete and continuous data. Existing methods for analyzing such data include the use of quasi-likelihood procedures and generalized estimating equations to estimate marginal mean response parameters. In applications to areas such as developmental toxicity studies, where discrete and continuous measurements are recorded on each fetus, or clinical ophthalmologic trials, where different types of observations are made on each eye, the assumption that data within cluster are exchangeable is often very reasonable. We use this assumption to formulate fully parametric regression models for clusters of bivariate data with binary and continuous components. The regression models proposed have marginal interpretations and reproducible model structures. Tractable expressions for likelihood equations are derived and iterative schemes are given for computing efficient estimates (MLEs) of the marginal mean, correlations, variances and higher moments. We demonstrate the use the ‘exchangeable’ procedure with an application to a developmental toxicity study involving fetal weight and malformation data.     

Bunk Bed Injuries in College Students

Abstract

We surveyed 1,431 college seniors to investigate the frequency and severity of injury after falls from bed. This data was analyzed along with data obtained from both the Consumer Product Safety Commission and the armed forces. We found that falls from bed are common in young adults and that injuries are more likely to occur with falls from bunk or loft beds than from standard beds (p = 0.025). Falls were most common when students were climbing out of bed or were startled awake. Alcohol use was implicated in 36% of the falls. We recommend that the heights of nonstandard beds for students be lowered, that alarms and phones be placed within easy reach, and that sturdy, fixed devices be used to descend. Intoxicated individuals should be placed on standard beds or lower.