Search results for ""author jeffrey p. kahn""

A counterintuitive and novel approach to the long-sought goal of subtyping schizophrenia and other psychotic disorders emerges from ongoing research.? Five psychosis associated anxiety and depressive subtypes each help define five corresponding psychosis diagnoses, their fixed false beliefs, and most importantly, their treatments. These anxiety and depressive comorbidities have long been long overlooked as an understandable hodgepodge of distressing symptoms caused by the pain of psychosis.? But these five comorbidities usually precede onset of the psychosis, and their treatment can significantly improve outcome. So, maybe, the causation is the other way around: maybe they are among the underlying contributors to schizophrenia and other psychotic disorders. The chapter authors expertly detail the data supporting this innovative approach.? They provide fictional case studies, DSM-5 diagnostic criteria, specific interviewing approaches for the five comorbidities in psychosis patients, and improved treatment options.? Other chapters explore psychoses related to substance use, medical illness and medical treatment, as well as other factors that contribute to psychotic disorders. This first-of-its-kind reference is a valuable clinical, educational, research and training resource for psychiatrists, psychologists, nurses, social workers, neurologists and anyone interested in the care and treatment of someone with a psychotic disorder. Reflects current research, diagnosis, and treatment options for: Schizophrenia with Voices and Panic Anxiety Obsessive-Compulsive Schizophrenia and Obsessive-Compulsive Disorder Persecutory Delusional Disorder and Social Anxiety Delusional Depression and Melancholic Depression Bipolar I Disorder and Atypical Depression Substance Use Psychoses Medical Illness and Iatrogenic Psychoses Covers treatment options and outcomes with medication and psychotherapy.? Includes sample patient interview approaches and/or biological tests for each diagnosis. Highlights symptoms, quasi-psychotic symptoms and secondary signs of the comorbidities when alone, and when in conjunction with psychosis. Reviews diagnosis-specific significance and contributory roles of neurotransmitters, hypofrontality, psychological trauma, and genetics. Enhanced eBook version allows access to entire book contents on most devices.? Included free with book purchase, or purchase separately.

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Mental Health and Productivity in the Workplace is a comprehensive and practical guide to identifying, understanding, preventing, and resolving individual and organizational mental health problems in the workplace. Originally published as Mental Health in the Workplace (Van Nostrand/Wiley, 1993), this completely revised, updated, and expanded edition represents the most current thinking in the field and contains contributions from an expert panel of organizational and occupational psychiatrists. With fifty percent more chapters, this new edition adds essential material on creating systems and cultures that encourage organizational productivity and employee mental health and on finding cost-effective,quality mental health care. The book focuses on problems that start "at the top" (executive dysfunction) as well as on the effects of organizational structure, office politics, chronic change, downsizing and employment uncertainty, office wide emotional crises, and aspects of organizational development. In addition, this helpful resource includes information about such basic issues as anxiety, stress, burnout, depression, drug and alcohol abuse, violence, and psychosis.

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As nations race to hone contact-tracing efforts, the world's experts consider strategies for maximum transparency and impact.As public health professionals around the world work tirelessly to respond to the COVID-19 pandemic, it is clear that traditional methods of contact tracing need to be augmented in order to help address a public health crisis of unprecedented scope. Innovators worldwide are racing to develop and implement novel public-facing technology solutions, including digital contact tracing technology. These technological products may aid public health surveillance and containment strategies for this pandemic and become part of the larger toolbox for future infectious outbreak prevention and control. As technology evolves in an effort to meet our current moment, Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies—a rapid research and expert consensus group effort led by Dr. Jeffrey P. Kahn of the Johns Hopkins Berman Institute of Bioethics in collaboration with the university's Center for Health Security—carried out an in-depth analysis of the technology and the issues it raises. Drawing on this analysis, they produced a report that includes detailed recommendations for technology companies, policymakers, institutions, employers, and the public. The project brings together perspectives from bioethics, health security, public health, technology development, engineering, public policy, and law to wrestle with the complex interactions of the many facets of the technology and its applications.This team of experts from Johns Hopkins University and other world-renowned institutions has crafted clear and detailed guidelines to help manage the creation, implementation, and application of digital contact tracing. Digital Contact Tracing for Pandemic Response is the essential resource for this fast-moving crisis.Contributors: Joseph Ali, JD; Anne Barnhill, PhD; Anita Cicero, JD; Katelyn Esmonde, PhD; Amelia Hood, MA; Brian Hutler, Phd, JD; Jeffrey P. Kahn, PhD, MPH; Alan Regenberg, MBE; Crystal Watson, DrPH, MPH; Matthew Watson; Robert Califf, MD, MACC; Ruth Faden, PhD, MPH; Divya Hosangadi, MSPH; Nancy Kass, ScD; Alain Labrique, PhD, MHS, MS; Deven McGraw, JD, MPH, LLM; Michelle Mello, JD, PhD; Michael Parker, BEd (Hons), MA, PhD; Stephen Ruckman, JD, MSc, MAR; Lainie Rutkow, JD, MPH, PhD; Josh Sharfstein, MD; Jeremy Sugarman, MD, MPH, MA; Eric Toner, MD; Mar Trotochaud, MSPH; Effy Vayena, PhD; Tal Zarsky, JSD, LLM, LLB

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