MI Implementation in Juvenile Justice: A Case Report

Motivational interviewing (MI) is a communication style focused on enhancing clients’ own motivation towards change. In the justice system MI has evidence to support that it enhances communication and change behaviors in youth. As most MI training is designed for healthcare settings training and implementation of MI must be adapted to fit the juvenile justice model. This includes both rehabilitation and restorative justice. Here we describe the details that allowed one county small county in Pennsylvania to roll out MI training and initial skills review in less than 6 months. The case reviews the details of planning, trainings, and timing of activities. We then discuss what elements of those details fit into a greater implementation plan that may be applied elsewhere. Four key elements were instrumental to implementation: 1) appreciation of JPO time constraints, 2) cost containment 3) using blending to enhance JPO flexibility with MI use, and 4) policies that normalize use of MI. This outline may assist other courts in their own implementation efforts.     

Civilian victimization and international military intervention in civil wars

Civil wars are particularly destructive and asymmetric in nature. As a result, humanitarian crises and episodes of one-sided violence against civilians are likely to emerge. In the post-Cold War era, human rights norms have been strengthened by a global commitment stating that nations have a responsibility to protect people against war crimes. Although the doctrine does not require military responses, as episodes of one-sided violence increase dramatically in the midst of civil conflict, we would expect those cases to experience relatively swift foreign response, including military intervention; a growing trend of at least purportedly humanitarian interventions should be observable. Expectations relating to the responsibility to protect are tested on all civil conflicts occurring between 1989 and 2006. Findings indicate that there is little evidence that one-sided violence leads to military intervention, suggesting that the internationally community does not use its most powerful tool to protect civilians in trouble.     

Factors Associated with Physician Discussion of Health Behaviors with Adolescents

Behaviors developed in adolescence influence health later in life. The purpose of this study was to investigate the frequency of health care provider's discussion of health behaviors with overweight and non-overweight adolescents and identify demographic and health behaviors related to exercise, hours of television viewing, and weight issues associated with these discussions. A Cross sectional survey of urban adolescents was conducted. Trained interviewers administered surveys over a three month period in 2001 at an urban academic pediatric and adolescent clinic. The 252 adolescents surveyed had a mean age of 15 with 49% categorized as being at risk for overweight/overweight and 51% as normal weight using the CDC percentiles for BMI. While 16% of the adolescents reported that their physician or nurse discussed the amount of television they watched, rates of discussion related to exercise (58%), and weight (54%) were much higher. In multivariate analyses, health care provider discussions with adolescents regarding exercise were more common for overweight (O.R.=2.42, 95% C.I. [1.28–4.57]) and at risk for overweight (O.R.=1.98, 95% C.I. [1.03–3.81]) adolescents, whereas physician discussion of television viewing was not associated with weight. Discussions of weight were more common for female (O.R.=2.18, 95% C.I. [1.21–3.95]), African-American (O.R.=2.53, 95% C.I. [1.40–4.57]), and overweight (O.R.=3.92, 95% C.I. [1.97–7.81]) adolescents. Even after adjusting for weight, race and gender strongly influenced the frequency of discussions about weight in physician offices. Although health care providers frequently address weight and exercise with adolescents, more discussions related to sedentary behaviors such as television viewing may be warranted to address adolescent obesity.Received PhD in Epidemiology from University of California, San Diego. Research interests include smoking prevention and cessation among adolescents and health promotion interventions.Received MD from University of Missouri-Kansas City and MPH from Johns Hopkins University. Research interests include health services research and research in support of measurable, systematic improvements in the quality of medical care.Received medical degree from Christian Medical College, Punjab, India and Master of Public Health from University of Kansas School of Medicine. Research interests include diet and physical activity behaviors, role of the environment in obesity and obesity prevention, especially among children and adolescents.Received MBBS from Allama Iqbal Medical College, Punjab University, Lahore, Pakistan and MPH from University of Kansas Medical Center. Research interests include smoking cessation, database design, implementation, data management and analysis, and use of information technology in health care settings.Director, Cancer Prevention, Control, and Population Sciences, Kansas Cancer Institute. Received MD/MPH from Tulane University and MS from Harvard School of Public Health. Research interests include disparities in healthcare; smoking cessation among underserved populations, specifically African Americans; diet, nutrition, obesity, and physical activity.     

Detection of deception with fMRI: Are we there yet?

A decade of spectacular progress in functional magnetic resonance imaging (fMRI) technology and systems neuroscience research has so far yielded few changes in our daily lives. The dearth of clinical applications of this prolific and academically promising research tool began raising the eyebrows of the public and the research funding agencies. This may be one of the reasons for the enthusiasm and interest paid to the growing body of literature suggesting that blood oxygenation level‐dependent (BOLD) fMRI of the brain could be sensitive to the differences between lie and truth. The word ‘differences’ is critical here since it refers to the often‐ignored core concept of BOLD fMRI: it is only sensitive to differences between two brain states. Thus, available studies report using fMRI to discriminate between lie and truth or some other comparative state rather than to positively identify deception. This nuance is an example of the extent to which applied neuroscience research does not lend itself to the type of over‐simplification that has plagued the interpretation of fMRI‐based lie detection by the popular press and the increasingly vocal academic critics. As an early contributor to the modest stream of data on fMRI‐based lie detection, I was asked by Dr Aldert Vrij to write a piece in favour of fMRI‐based lie detection, to be contrasted with a piece by Dr Sean Spence presenting an opposite point of view ( Spence, 2008 ). This seemingly straightforward task presented two hurdles: having to respond to the popular as well as scientific view of what lie detection with fMRI is and present a wholly positive view of evolving experimental data.