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Risk-Benefit Analysis of Treatments for Severe Problem Behaviors |
Friday, May 27, 2022 |
8:00 AM–11:00 AM |
Meeting Level 2; Room 258A |
Domain: Applied Research |
CE Instructor: Nathan Blenkush, Ph.D. |
NATHAN BLENKUSH (Judge Rotenberg Educational Center), JASON CODERRE (The Judge Rotenberg Educational Center), JOSEPH TACOSIK (Judge Rotenberg Education Center), DYLAN PALMER (Judge Rotenberg Educational Center) |
Description: Behavior analysts are often part of multidisciplinary teams that treat patients with severe problem behaviors that are refractory to typical interventions. Professionals within and between disciplines do not always agree on the most appropriate treatment approach for a given person. However, there is general agreement that those providing treatment should provide the most effective and least restrictive interventions available. Unfortunately, risk perception and bias sometimes influence decision making to the detriment of the person receiving treatment. Here, we review decision analysis tools that may help inform decisions made by behavior analysts and interdisciplinary teams when treating severe problem behaviors. We review ethical, legal, and regulatory policies that must be considered in relation to treating people with severe problem behaviors. |
Learning Objectives: 1. Participants will be able to describe the elements of at least two decision analysis tools associated with treatment selection. 2. Participants will identify at least three potential fallacies or biases associated with risk and clinical decision making. 3. Participants will evaluate at least two treatments using a risk benefit approach. |
Activities: The format combines lecture, application of decision analysis, and group discussion. |
Audience: Behavior analysts, psychologists, and other professionals who are often confronted with people who emit severe problem behaviors refractory to typical interventions. |
Content Area: Practice |
Instruction Level: Advanced |
Keyword(s): Decision analysis, Risk Perception, Treatment evaluation |