Predictors of substance abuse treatment outcomes in Tennessee

In planning and implementing programs to treat substance abuse, it is important to understand which factors influence post-treatment abstinence.This article identifies and analyzes several variables important in predicting the likelihood of abstinence among substance abuse clients. The data used in this study was collected from 1,350 clients treated for alcohol or drug abuse in residential, halfway house, or outpatient facilities in Tennessee. We analyzed 22 variables as possible treatment outcome predictors by using two statistical procedures: stepwise logistic regression analysis and Quick, Unbiased, Efficient, Statistical Tree (QUEST) analysis, a tree-structured classification algorithm analysis. We found one pretreatment, five in-treatment, and three post-treatment variables to be significant predictors of treatment outcome: previous treatment history, perceived helpfulness of the treatment, simultaneous treatment for mental health, number of days in treatment,completion of treatment, special skills training during treatment, obtaining healthcare services for major physical health problem after treatment, living with someone using alcohol or drugs post treatment, and arrest record since treatment.     

Does the road to muscle rejuvenation go through Notch?

The capacity of skeletal muscles to repair and regenerate declines during aging in humans, and this decline may lead to muscle loss and frailty. Conboy et al. show that injured muscles of aging mice are defective in Notch signaling, because up-regulation of the Notch ligand, Delta-1, is impaired. Delta-1 promotes proliferation of the satellite cells that repair damaged muscles, and Conboy et al. show that experimental activation of Notch signaling is sufficient to reverse the age-related decline in muscle regenerative capacity. Extension of these important findings to humans could lead to the development of new therapeutic approaches to maintain muscle function during aging.     

Back to Brit: retired British migrants returning from Spain

Since the seminal research of O'Reilly, Karen [2000. The British on the Costa del Sol. London: Routledge] and King, Russell, Anthony Warnes, Allan Williams [2000. Sunset Lives: British Retirement Migration to the Mediterranean. New York: Berg Publishers] about British citizens on the Costa del Sol there has been a surge in the publication of lifestyle migration papers, books and research. Nonetheless, there is a part of the lifestyle migration process that has been rarely explored: a return move to the country of origin following retirement migration. Research has indicated a broad increase in the number of older British returnees, yet there has been no substantive research on the topic. This paper therefore attempts to fill this gap by using Spanish registry data to examine the number of British retirees since 2009 who have returned to the UK. In addition, the results of an electronic survey to older British people in Spain are presented which suggest that considerable numbers of British citizens aged over 55 living in the Northern Costa Blanca are likely to return in the next few years. These data therefore indicate the relevance of return migration from Spain to the UK as a significant issue to the academic community as well as to British and Spanish policy-makers.     

The recruitment and selection of hospital medical consultants

Abstract

The literature on selection has been dominated in recent decades by the ‘prediction’ paradigm. Such an approach requires a substantial number of positions to be filled in order to compute validity coefficients. There are other approaches, using a different paradigm, when concentrated on adjusting the organization and the employee. Here careful analysis of job demands is essential. This article describes such an analysis, taking the medical consultant as an example. The method can be used in an iterative way. It is useful when one has to work with small numbers of positions.     

A Risk-Benefit Analysis of French High Fish Consumption: A QALY Approach

The health risk and the nutritional benefit of a food are usually assessed separately. Toxicologists recommend limiting the consumption of certain fish because of methylmercury; while nutritionists recommend eating more oily fish because of omega 3. A common evaluation is imperative to provide coherent recommendations. In order to evaluate the risks along with the benefits related to fish consumption, a common metric based on the quality-adjusted life year (QALY) method has been used. The impact of a theoretical change from a medium n-3 PUFAs intake to a high intake is studied, in terms of the cardiovascular system (CHD mortality, stroke mortality and morbidity) and on fetal neuronal development (IQ loss or gain). This application can be considered as a sensitive analysis of the model used and looks at the impact of changing the dose-response relationships between cardiovascular diseases and n-3 PUFAs intakes. Results show that increasing fish consumption may have a beneficial impact on health. However, the confidence interval of the overall estimation has a negative lower bound, which means that this increase in fish consumption may have a negative impact due to MeHg contamination. Some limits of the QALY approach are identified. The first concerns determination of the dose-response relationships. The second concerns the economic origins of the approach and of individual preferences. Finally, since only one beneficial aspect and one risk element were studied, consideration should be given to how other beneficial and risk components may be integrated in the model.     

Measuring Inequity Aversion in a Heterogeneous Population Using Experimental Decisions and Subjective Probabilities

We combine choice data in the ultimatum game with the expectations of proposers elicited by subjective probability questions to estimate a structural model of decision making under uncertainty. The model, estimated using a large representative sample of subjects from the Dutch population, allows both nonlinear preferences for equity and expectations to vary across socioeconomic groups. Our results indicate that inequity aversion to one's own disadvantage is an increasing and concave function of the payoff difference. We also find considerable heterogeneity in the population. Young and highly educated subjects have lower aversion for inequity than other groups. Moreover, the model that uses subjective data on expectations generates much better in‐ and out‐of‐sample predictions than a model which assumes that players have rational expectations.