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Available with English captions.
Presented by Jennifer E. Johnson, PhD, Michigan State University – The Joseph P. Powers Memorial Lecture
The United States has one of the highest incarceration rates in the world. As a result, the U.S. criminal justice system has become one of the country’s largest mental health care systems, one that is forced to address the many psychiatric challenges facing those it interacts with.
In this lecture, Johnson discusses the high rates of mental illness recorded among individuals involved at different levels of the criminal justice system in the U.S.
Presentation highlights include:
Statistics show that 10 times as many individuals with severe mental illness are incarcerated as are in state hospitals. Among those incarcerated, 56% have mental health issues. These challenges include substance use disorders, borderline personality disorder, psychosis, mania, and PTSD. Despite the depth of the problem, there are few behavioral health interventions available to serve this population.
Johnson details the barriers to providing and accessing care. She also outlines the actions that can be taken in policy, health care, and the legal system to address this public health issue. She suggests that one solution may be the introduction of interpersonal group therapy and related interventions.
In the talk, she describes her own experiences treating individuals with depression in the criminal justice system. She explains that one-on-one therapy—a common approach for the condition—can be hard to implement in prison settings and is not always effective. In response, she started a pilot randomized trial to test the effectiveness of interpersonal group therapy within under-resourced systems.
Johnson presents study findings indicating that the approach is popular with patients and providers. Her work and related projects show that interpersonal group therapy can lead to reductions in depression, hopelessness, and PTSD. However, she asserts, there is a need for cost-effective training, more resources, and scalable models for implementing these programs.
SeriesGrand Rounds Lectures
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