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Published on: May 15, 2020
Approach to risk identification in undifferentiated mental disorders
José Silveira1, Patricia Rockman2, Casey Fulford3
1Associate Professor in the Department of Psychiatry at the University of Toronto in Ontario, Psychiatrist-in-Chief at St Joseph's Health Centre, and Co-chair of the Ontario College of Family Physicians Collaborative Mental Health Network. JSilveira@stjoestoronto.ca.
Objective:
To provide primary care physicians with a novel approach to risk identification and related clinical decision making in the management of undifferentiated mental disorders.
Sources Of Information:
We conducted a review of the literature in PubMed, CINAHL, PsycINFO, and Google Scholar using the search terms diagnostic uncertainty, diagnosis, risk identification, risk assessment/methods, risk, risk factors, risk management/methods, cognitive biases and psychiatry, decision making, mental disorders/diagnosis, clinical competence, evidence-based medicine, interviews as topic, psychiatry/education, psychiatry/methods, documentation/methods, forensic psychiatry/education, forensic psychiatry/methods, mental disorders/classification, mental disorders/psychology, violence/prevention and control, and violence/psychology.
Main Message:
Mental disorders are a large component of practice in primary care and often present in an undifferentiated manner, remaining so for prolonged periods. The challenging search for a diagnosis can divert attention from risk identification, as diagnosis is commonly presumed to be necessary before treatment can begin. This might inadvertently contribute to preventable adverse events. Focusing on salient aspects of the patient presentation related to risk should be prioritized. This article presents a novel approach to organizing patient information to assist risk identification and decision making in the management of patients with undifferentiated mental disorders.
Conclusion:
A structured approach can help physicians to manage the clinical uncertainty common to risk identification in patients with mental disorders and cope with the common anxiety and cognitive biases that affect priorities in risk-related decision making. By focusing on risk, functional impairments, and related symptoms using a novel framework, physicians can meet their patients' immediate needs while continuing the search for diagnostic clarity and long-term treatment.
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