Magnavita Jeffrey J. (ed.) Clinical Decision Making in Mental Health Practice

American Psychological Association, 2016. — 339 p. — ISBN: 978-1-4338-2029-8.A therapist's most profound responsibility is choosing the right treatment for his or her client. Yet despite extensive training, many mental health professionals have difficulty determining which interventions are best for a particular client at a particular time, and which ones are inert or might even be harmful. And even the most self-aware clinicians are susceptible to biases that can influence their decisions and can have a dramatic effect on treatment outcome.In this book, the first of its kind, contributors apply the theory and research of decision analytics to mental health, with a focus on improving clinical decision making. Decision analytics is a rapidly expanding field that provides crucial insight into how we process information. In the mental health context, decision analytics considers psychotherapy theories as exercises in pattern recognition, and therapy itself as a unique combination of expertise and intuition on the part of the therapist, requiring snap judgments as well as long-term deliberation.Contributors examine common decision-making biases, such as confirmation bias and the "sunk-cost" fallacy, which can lead to poor outcomes if ignored or left unchecked. Practical recommendations are provided for improving clinical decisions using evidence-based findings, client feedback, ethics, and more.Overview and Challenges of Clinical Decision Making in Mental Health Practice
Clinical Expertise and Decision Making: An Overview of Bias in Clinical Practice
A Dual Process Perspective on the Value of Theory in Psychotherapeutic Decision Making
Clinical Practice Guideline Development and Decision Making
Developing Clinical Practice Guidelines to Enhance Clinical Decision Making
Using Technology to Enhance Decision Making
Clinical Decision Making When the Stakes Are High
Use of Empirically Grounded Relational Principles to Enhance Clinical Decision Making
Integrating Ongoing Measurement Into the Clinical Decision-Making Process With Measurement Feedback Systems
Clinical Decision Making and Risk Management
Teaching Clinical Decision Making