Clinical social work education in palliative and end-of-life care: relational approaches for advanced practitioners

This paper describes the first post-Master's program in the US in end-of-life care for social workers. Developed at the Smith College School for Social Work, this program used innovative relational methods in student recruitment, curricular design, supervision, and leadership development, based upon input from the faculty, students, and field supervisors. Collaborations emerged with funders, agencies, and programs nationally. The program was based on a pedagogical stance that clinical work with dying people requires the capacity to be fully present- in individual, group, and family work; in interdisciplinary meetings; and in advocating for quality and equity of care-while attending to diverse and at-risk populations. Students deepened their clinical skills and took leadership in the field of end-of-life care.     

Maximum Value of Hotelling's T 2 Statistics Based on the Successive Differences Covariance Matrix Estimator

In statistical process control applications, the multivariate T ² control chart based on Hotelling's T ² statistic is useful for detecting the presence of special causes of variation. In particular, use of the T ² statistic based on the successive differences covariance matrix estimator has been shown to be very effective in detecting the presence of a sustained step or ramp shift in the mean vector. However, the exact distribution of this statistic is unknown. In this article, we derive the maximum value of the T ² statistic based on the successive differences covariance matrix estimator. This distributional property is crucial for calculating an approximate upper control limit of a T ² control chart based on successive differences, as described in Williams et al. (2006 Williams , J. D. , Woodall , W. H. , Birch , J. B. , Sullivan , J. H. ( 2006 ). On the distribution of T ² statistics based on successive differences . J. Qual. Technol. 38 : 217 – 229 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]).     

Insight into Informant Discrepancies Regarding Psychosexual Functioning of Adolescents with and without Autism Spectrum Disorder

The private nature of psychosexual functioning leads adolescents and their parents to have different perspectives, which highlights studying parent–child informant discrepancies in this domain. We investigated informant discrepancy in psychosexual functioning, using the self‐report and parent report versions of the Teen Transition Inventory (TTI), of adolescents with autism spectrum disorder (ASD; 136 parent–child dyads) compared to adolescents from the general population (GP; 70 parent–child dyads). Significantly larger informant discrepancies exist in ASD dyads than GP dyads in most domains of psychosexual functioning, except for Body image, Sexual behavior, and Confidence in the future. It is important to use and pay attention to both informants, as discrepancies are relevant for both research and clinical practice regarding psychosexual functioning.     

Response to Fugard and Hines

ABSTRACT

This article replies to the responses to my article on “Sex and the Census: Why surveys should not conflate sex and gender identity“. Fugard conflates sex itself with the characteristics associated with sex, such as finger length ratios, leading to the erroneous implication that binary sex is not a useful explanatory variable. Hines fundamentally misrepresents my article, claiming that I have argued against asking respondents to the 2021 Census about their gender identity. In fact I make clear that information on gender identity is useful, but cannot replace data on sex. Muddling gender identity and sex will lead to the collection of inaccurate data on both. Hines resorts to a series of ad hominem attacks rather than engaging with the substance of the argument. Neither Fugard nor Hines is able to give a reason why we should not seek to collect accurate data on sex in the census or elsewhere.     

Impulsivity as a Risk Factor for HIV Transmission in Men Who Have Sex with Men: A Delay Discounting Approach

Delay discounting (DD) is a measure of impulsivity that describes the subjective decline in value of a consequence as the delay to that consequence increases. We sought to assess whether the results of a monetary DD task would be predictive of sexual risk-taking in a group of Internet-using men who have sex with men (MSM). 1402 participants completed an online survey that included questions about the participant’s demographics, sexual history and behavior, drug use, sexual compulsivity, and a monetary DD task. High DD was associated with increased odds of reporting >2 UAI partners in the past 12 months [aOR = 1.5 (1.1–2.1)]. Future studies should examine the utility of DD as a predictor of risky sexual behavior, as well as explore the possibility of HIV prevention interventions targeting DD.     

Implementing the Power to Kids programme in home-based (foster) care: Identifying the SAFETY approach

Sexual abuse and dating violence are chronic problems for children and young people in out-of-home care. This study explored the impact of a prevention and response programme Power to Kids, which targets harmful sexual behaviour (HSB), child sexual exploitation (CSE) and dating violence (DV) for children and young people in home-based (foster) care. Twenty-eight case managers, 25 foster carers and 13 children and young people participated in a mixed methods study in Victoria, Australia informed by the research question: How does the Power to Kids programme impact the sexual health and safety of children and young people in home-based (foster) care? The data analysis revealed a SAFETY approach whereby the sexual health and safety knowledge of carers and case managers was enhanced, and carers were given permission to have Brave Conversations with children and young people, who could then apply the new knowledge to their lives. Case managers were upskilled in identifying indicators of sexual abuse and empowered to escalate stalled therapeutic and disruption practice when children and young people were identified as experiencing HSB, CSE or DV.     

Eliciting expert judgements about a set of proportions

Eliciting expert knowledge about several uncertain quantities is a complex task when those quantities exhibit associations. A well-known example of such a problem is eliciting knowledge about a set of uncertain proportions which must sum to 1. The usual approach is to assume that the expert's knowledge can be adequately represented by a Dirichlet distribution, since this is by far the simplest multivariate distribution that is appropriate for such a set of proportions. It is also the most convenient, particularly when the expert's prior knowledge is to be combined with a multinomial sample since then the Dirichlet is the conjugate prior family. Several methods have been described in the literature for eliciting beliefs in the form of a Dirichlet distribution, which typically involve eliciting from the expert enough judgements to identify uniquely the Dirichlet hyperparameters. We describe here a new method which employs the device of over-fitting, i.e. eliciting more than the minimal number of judgements, in order to (a) produce a more carefully considered Dirichlet distribution and (b) ensure that the Dirichlet distribution is indeed a reasonable fit to the expert's knowledge. The method has been implemented in a software extension of the Sheffield elicitation framework (SHELF) to facilitate the multivariate elicitation process.