Caring for Carers in the Aftermath of Trauma

The potential impact on psychological well-being of working in the caring professions in the aftermath of trauma and disaster has been recognized for many years, with terms such as burnout, compassion fatigue, and vicarious traumatization coined to describe stress-related conditions. Although prevalent, these conditions do not affect all workers in the field. Various studies have investigated potential risk and protective factors. It is argued that the outcomes of this research should be used to guide practical interventions in the workplace designed to minimize stress-related problems. A framework that incorporates interventions at the primary, secondary, and tertiary prevention levels is outlined, and research investigating the efficacy of interventions at each of these levels is recommended.     

Does intra-individual change predict offender recidivism? Searching for the Holy Grail in assessing offender change

Offender rehabilitation effectively reduces recidivism for treatment groups compared to control groups, but there is less evidence demonstrating that intra-individual changes are related to reductions in risk. We review and critique academic and government literature linking individual change scores to recidivism, focusing on three key treatment domains: cognition, violence, and substance misuse. Database searches identified 378 studies measuring change, but only 53 studies yielding 49 explicit tests of the relationship between intra-individual change scores and recidivism outcome. Of the 49 available tests, 26 effect sizes (53.1%) were significant, ranging from small (d = 0.06) to large (d = 1.48). Across all domains, change variables significantly related to recidivism included known dynamic risk factors: antisocial attitudes, antisocial beliefs, antisocial associates, antisocial personality, social support, and substance misuse. Two additional findings centered on changes in negative emotion and successful treatment process. This review further suggests there is a need to utilize better measurement strategies and more sophisticated constructs. Additional practical, theoretical, and methodological implications are discussed.     

Improving Health Care Utilization, Improving Chronic Disease Utilization, Health Status, and Adjustment in Adolescents and Young Adults with Cystic Fibrosis: A Preliminary Report

We conducted a randomized clinical trial of a 3-session written self-disclosure intervention for patients with cystic fibrosis (CF). Patients (n = 39) who were at least 15 years of age and diagnosed with CF participated in the intervention. Participants in the intervention arm were asked to write in the health care setting about an important emotionally distressing issue of personal significance for a 20-min period of time and two additional 20-min writing episodes at the patient's home, which were prompted by telephone calls. Patients in the control condition received standard care alone. Findings revealed that the intervention resulted in a reduction of the number of days patients spent in the hospital over a 3-month period. The intervention did not have an impact on physiological (Forced Expiratory Volume and Body Mass Index or subjective markers of health status. These findings extend those of Pennebaker's (cf., J. Smyth, 1998) demonstrating an effect of the written-self-disclosure intervention on health care utilization. These preliminary findings are promising and justify further investigation of the modified intervention in other chronic illness populations.     

Why Higher Working Memory Capacity May Help You Learn: Sampling,Search, and Degrees of Approximation

Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the number of samples, or “particles,” available to perform inference. To test this idea, we focus on two recent experiments that report positive associations between WMC and two distinct aspects of categorization performance: the ability to learn novel categories, and the ability to switch between different categorization strategies (“knowledge restructuring”). In favor of the idea of modeling WMC as a number of particles, we show that a single model can reproduce both experimental results by varying the number of particles—increasing the number of particles leads to both faster category learning and improved strategy‐switching. Furthermore, when we fit the model to individual participants, we found a positive association between WMC and best‐fit number of particles for strategy switching. However, no association between WMC and best‐fit number of particles was found for category learning. These results are discussed in the context of the general challenge of disentangling the contributions of different potential sources of behavioral variability.     

Simultaneous switching of auditory transients For two-channel presentation

A modification of the Grason-Stadler Series 829 D&E Electronic Switches that enables simultaneous cross-channel presentation of auditory signals at the two ears is described.