Adapting private family time in child protective services decision-making processes

The Family Group Conference (FGC) is grounded in a rights-based framework, whereby children and their families have the right and responsibility to be primary decision-makers when child protection issues arise, and the statutory agency has the responsibility to convene the entitled members of the family network to lead the decision-making. A distinct core component of FGC—private family time (PFT)—allows families to discuss the information and formulate their responses and plans privately during conferencing. This paper describes how a large child welfare agency in the United States adapted PFT in two ways: (1) including a parent advocate (PA) and (2) abbreviating the amount of time allowed for this discussion. Given the lack of empirical research on the PFT component, this qualitative exploratory study sought to understand the functions and perceived impacts of PA-supported PFT during initial child protective services (CPS) conferences at which decisions of child removal or placement were being contemplated. PFT served multiple beneficial functions and impacted families in several positive ways: families gained greater awareness of safety concerns, felt empowered and confident in the preferred safety and service plan, became increasingly engaged and involved in the case decision-making process and ultimately felt less apprehensive.     

Substance use and other factors associated with child welfare case duration: Looking beyond out of home care

Little is known about factors associated with child welfare case duration. Understanding factors associated with case duration may help stakeholders make more informed decisions about funding and service allocation and improve compliance with federal law. This study had two research questions: (1) What factors are associated with child welfare case duration? And (2) Do factors differ depending on whether children were placed exclusively with parents or with others (e.g. relatives and foster care) during the case? The study sample consisted of families (N = 874) with co-occurring child maltreatment and substance use in one midwestern state in the United States between 2007 and 2016. Linear regression models were used to identify correlates of case duration while controlling for child placement status. Overall, having a child under 1 year of age, benzodiazepine use, methamphetamine use and injection drug use were all associated with longer case duration, whereas marijuana use with no other substance use was associated with shorter case duration. Additionally, factors associated with case duration differed based on child placement status during the case. These findings suggest important heterogeneity in families involved with child welfare services and may allow for proactive mitigation of cases at greater risk.     

Screening children with a history of maltreatment for post-traumatic stress disorder in frontline social care organizations: A process evaluation

The use of standardized screening tools to identify trauma exposure and associated symptoms is commonly recommended as a key component in the development of trauma informed services and is seen as integral to facilitating access to evidence-based therapies. However, there is limited evidence in the UK about the factors influencing the adoption of such tools into routine practice in children's social care. This paper presents the findings from a process evaluation of how practitioners implemented a screening tool for post-traumatic stress disorder, anxiety and depression into their day-to-say practice and what worked or did not work during the process. The findings from this study highlight the potential benefits for both young people and practitioners, alongside some of the challenges involved. In particular, practitioners need to see the direct benefit for young people of being assessed. Additionally, practitioners value regular mentoring as they become more proficient in using standardized screening tools.     

Walk-in clinic counselling for emotional regulation with low-needs youth on the autism spectrum

A single-session consultation model for low-needs youth on the autism spectrum is presented with the mental health concern of emotional self-regulation, a common issue in family psychotherapy. This research is contextualised within the growing field of short-term therapy as it intersects the growing demand to therapeutically address clients on the autism spectrum. The treatment intervention is delineated through five sequential phases within the walk-in clinic setting for the practitioner clinician. A rationale, overview, and instruction for the practitioner clinician utilising this novel model is provided through a case study format. By using a more structured and integrated approach to treatment, organised through an externalised metaphor, it is suggested that the current model will be more effective for this specific clinical population. Additionally, a case illustration is provided that scaffolds the treatment model, which includes table formats and pictures. The case study illustrates the self-regulation map metaphor visually and interactively linking client challenges, strategies, and motivations simultaneously on multiple electronic devices in session. Relevant works were selected to explore the effectiveness of single-session consultation models for those presenting on the autism spectrum. Treatment interventions for specific clinical populations are recommended, especially within walk-in clinic therapy. This clinical research introduces a paradigm shift towards therapeutically addressing emotional self-regulation with low-needs youth on the spectrum through virtual, interactive technology.     

Couples relationship standards and satisfaction in Pakistani couples

Relationship standards are beliefs about what is important in a satisfying couple relationship, which vary considerably between cultures, and might mean that what couples seek from couple therapy differs across cultures. We assessed the standards of n = 49 Pakistani couples and whether those standards predicted couple satisfaction. To provide referents for the Pakistani standards, we also assessed selfreported relationship standards in n = 33 Western couples and n = 30 Chinese couples. Pakistani couples endorsed couple bond standards (e.g., expressions of love) as similarly important, and family responsibility (e.g., extended family relations) standards as more important, than Western or Chinese couples. In Pakistani couples, Couple Bond predicted couples' relationship satisfaction, but family responsibility and Religion predicted only wives' satisfaction. Modest sample sizes necessitate caution in interpreting results but suggest existing couple therapies might need modification to address the distinctive relationship standards of Pakistani couples.     

“Leaving Home Ain't Easy:” The timing and pathways of young immigrants’ home-leaving transitions

Leaving the parental home to live independently has long been a marker of one's transition to adulthood and a sign of immigrant adaptation to the host country. The timing and pathways of home-leaving are important for both the housing trajectories of young adults and the overall housing demand of immigrant receiving areas. However, young adults—immigrants or not— have increasingly been delaying this transition, opting instead to stay in the parental home for an extended period of time. In this paper, we conceptualize home-leaving as a decision made over time—influenced by individual, family, and contextual factors—and use panel data collected in the 2011 and 2017 Canadian General Social Survey (GSS). Through both a Cox proportional hazard model and a competing risk model, we examine the timing of exit from the parental home, the determinants of this exit, and the variable rates of independent household formation across immigrant, non-visible, and visible minority groups. We find, although the relationship is not always linear, generational status, as well as race and ethnicity, play an important role in not only the timing, but also the destination of home leaving, while age at arrival is particularly salient for racialized immigrant groups. Young immigrants of visible minority background are generally less likely to leave their parental home, even though immigrants to Canada are selected for their ability to succeed in Canada.     

Asymptotically optimal Berry-Esseen-type bounds for distributions with an absolutely continuous part

Recursive and closed form upper bounds are offered for the Kolmogorov and the total variation distance between the standard normal distribution and the distribution of a standardized sum of n independent and identically distributed random variables. The method employed is a modification of the method of compositions along with Zolotarev's ideal metric. The approximation error in the CLT obtained vanishes at a rate O(n^−k/2+1), provided that the common distribution of the summands possesses an absolutely continuous part, and shares the same k−1 (k?3) first moments with the standard normal distribution. Moreover, for the first time, these new uniform Berry-Esseen-type bounds are asymptotically optimal, that is, the ratio of the true distance to the respective bound converges to unity for a large class of distributions of the summands. Thus, apart from the correct rate, the proposed error estimates incorporate an optimal asymptotic constant (factor). Finally, three illustrative examples are presented along with numerical comparisons revealing that the new bounds are sharp enough even to be used in practical statistical applications.     

The potential for bias in reporting of industry-sponsored clinical trials

Concerns about potentially misleading reporting of pharmaceutical industry research have surfaced many times. The potential for duality (and thereby conflict) of interest is only too clear when you consider the sums of money required for the discovery, development and commercialization of new medicines. As the ability of major, mid-size and small pharmaceutical companies to innovate has waned, as evidenced by the seemingly relentless decline in the numbers of new medicines approved by Food and Drug Administration and European Medicines Agency year-on-year, not only has the cost per new approved medicine risen: so too has the public and media concern about the extent to which the pharmaceutical industry is open and honest about the efficacy, safety and quality of the drugs we manufacture and sell. In 2005 an Editorial in Journal of the American Medical Association made clear that, so great was their concern about misleading reporting of industry-sponsored studies, henceforth no article would be published that was not also guaranteed by independent statistical analysis. We examine the precursors to this Editorial, as well as its immediate and lasting effects for statisticians, for the manner in which statistical analysis is carried out, and for the industry more generally.     

Inferences for the ratio: Fieller’s interval,log ratio,and large sample based confidence intervals

In sample surveys and many other areas of application, the ratio of variables is often of great importance. This often occurs when one variable is available at the population level while another variable of interest is available for sample data only. In this case, using the sample ratio, we can often gather valuable information on the variable of interest for the unsampled observations. In many other studies, the ratio itself is of interest, for example when estimating proportions from a random number of observations. In this note we compare three confidence intervals for the population ratio: A large sample interval, a log based version of the large sample interval, and Fieller’s interval. This is done through data analysis and through a small simulation experiment. The Fieller method has often been proposed as a superior interval for small sample sizes. We show through a data example and simulation experiments that Fieller’s method often gives nonsensical and uninformative intervals when the observations are noisy relative to the mean of the data. The large sample interval does not similarly suffer and thus can be a more reliable method for small and large samples.