Clinical Reasoning and Decision-Making in Psychiatry

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ID: 288440
2024
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Abstract
Mental health professionals routinely make treatment decisions without necessarily having an overarching perspective about optimal next steps. This important new book provides them with reader-friendly, pragmatic strategies to approach clinical problems as testable hypotheses. It discusses how to apply concepts based on decision analytic theory using risk-benefit analyses, contingency planning, measurement-based care, shared decision making, pharmacogenetics, disease staging, and machine learning. Readers will learn how these tools can help them craft optimal pharmacological and psychosocial interventions tailored to the needs of an individual patient. The book covers topics such as diagnostic ambiguity, interview technique, applying statistical concepts to individual patients, artificial intelligence, and managing high-risk, treatment-resistant, or demanding and difficult patients. Valuable clinical vignettes are featured throughout the book to illustrate common dilemmas and scenarios where the relative merits of competing treatment options invite a more iterative than definitive approach. For all healthcare professionals who prescribe psychotropic medications.
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persistent_1761420804_68fd2604eec00 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Stephen M. Stahl
Journal ADVANCES IN ARCHAEOLOGICAL PRACTICE
Year 2024
DOI
10.1017/9781009181549
URL
https://www.cambridge.org/core/books/clinical-reasoning-and-decisionmaking-in-psychiatry/461AFF39C01B086C943AD489FDCFDAF9
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