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.     

Hepatitis C psychoeducation curriculum topics generated by group members

ABSTRACT

Educational programs for hepatitis C (HCV) have been created by professionals. There has not been a focus on whether what clients want to know about HCV differs from what providers want patients to know. This study addresses this gap by examining topics selected by participants in an education/support group model. Data were collected as part of a randomized psychoeducation trial for patients with HCV. Topics were systematically generated by the members uniquely for each group. Topics and rank order for each group were generated and a combined variable was created. Twenty-eight different topics were identified across 12 groups. The total number of topics was 102, averaging 8.5 per group. Topics are divided into three separate conceptual groups, members’ personal relationship to HCV, medical aspects of HCV, and unique concerns. A patient-centered approach that addresses the needs of HCV patients first provides an optimal starting point to discuss HCV disease management.     

Is Psychological Well-Being Linked to the Consumption of Fruit and Vegetables?

Little is known about the influence of people’s diet on their psychological well-being. This study provides evidence of a link between the consumption of fruit and vegetables and high well-being. In cross-sectional data, happiness and mental health rise in an approximately dose–response way with the number of daily portions of fruit and vegetables. Well-being peaks at approximately 7 portions per day. We document this relationship in three data sets, covering approximately 80,000 randomly selected British individuals, and for seven measures of well-being (life satisfaction, WEMWBS mental well-being, GHQ mental disorders, self-reported health, happiness, nervousness, and feeling low). The pattern is robust to adjustment for a large number of other demographic, social and economic variables. Reverse causality and problems of confounding remain possible. We discuss the strengths and weaknesses of our analysis, how government policy-makers might wish to react to it, and what kinds of further research—especially randomized trials—would be valuable.     

An Improved Test for Continuous Local Martingales

We present a new test for the “continuous martingale hypothesis”. That is, a test for the hypothesis that observed data are from a process which is a continuous local martingale. The basis of the test is an embedded random walk at first passage times, obtained from the well-known representation of a continuous local martingale as a continuous time-change of Brownian motion. With a variety of simulated diffusion processes our new test shows higher power than existing tests using either the crossing tree or the quadratic variation, including the situation where non-negligible drift is present. The power of the test in the presence of jumps is also explored with a variety of simulated jump diffusion processes. The test is also applied to two sequences of high-frequency foreign exchange trade-by-trade data. In both cases the continuous martingale hypothesis is rejected at times less than hourly and we identify significant dependence in price movements at these small scales.     

Modeling bivariate survival data using shared inverse Gaussian frailty model

ABSTRACT

The shared frailty models are often used to model heterogeneity in survival analysis. The most common shared frailty model is a model in which hazard function is a product of a random factor (frailty) and the baseline hazard function which is common to all individuals. There are certain assumptions about the baseline distribution and the distribution of frailty. In this paper, we consider inverse Gaussian distribution as frailty distribution and three different baseline distributions, namely the generalized Rayleigh, the weighted exponential, and the extended Weibull distributions. With these three baseline distributions, we propose three different inverse Gaussian shared frailty models. We also compare these models with the models where the above-mentioned distributions are considered without frailty. We develop the Bayesian estimation procedure using Markov Chain Monte Carlo (MCMC) technique to estimate the parameters involved in these models. We present a simulation study to compare the true values of the parameters with the estimated values. A search of the literature suggests that currently no work has been done for these three baseline distributions with a shared inverse Gaussian frailty so far. We also apply these three models by using a real-life bivariate survival data set of McGilchrist and Aisbett (1991 McGilchrist, C.A., Aisbett, C.W. (1991). Regression with frailty in survival analysis. Biometrics 47:461–466.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) related to the kidney infection data and a better model is suggested for the data using the Bayesian model selection criteria.     

On Energy Policy Models

Many energy models cannot be relied upon in forecasting or policy analysis. The quality of the data is often poor, and the theoretical underpinnings tend to be inadequate. These points are illustrated by example.     

Oiling the wheels? Flexible labour markets and the migration industry

ABSTRACT

The growing commercialisation of migration, often through a multiplicity of labour market intermediaries, is an issue of increasing academic interest. We seek to contribute to an emerging research agenda on the migration industries by exploring how one of the key actors that constitutes it, recruitment agencies, sits at the nexus between flexible labour market structures and migrant labour. Interviews with U.K. labour providers and low-wage employers form the evidence base for an analysis of the strategies developed by recruiters to derive commercial gain from connecting the so-called ‘supply’ and ‘demand’ sides of the flexible international labour market. We seek to contribute to understandings of the analytical categories within migration systems by illustrating how the migration industry interacts with other key stakeholders to structure international migration.     

Human capital,family structure and religiosity shaping British Muslim women’s labour market participation

Economic activity among Muslim women in the UK remains considerably lower and their unemployment rate significantly higher than among the majority group even after controlling for qualifications and other individual characteristics. This study utilises two data sets to explore possible factors underlying these differences, such as overseas qualifications, language skills and religiosity. It reveals that while religiosity is negatively associated with labour market participation among British Christian-White women, economic activity among Muslim women are not negatively affected by high religiosity. Furthermore, family structure and the presence of dependent children were among the most important factors explaining the latter’s labour market participation, although these relationships were moderated by qualifications. More women with higher qualifications were economically active even if married and with children, although some of them experienced greater unemployment, probably due to discrimination in recruiting practices and choices and preferences on religious grounds.