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357 Using Assessments to Create a Translational Pipeline at a Science-Based Inpatient Addiction Treatment Facility

Published online by Cambridge University Press:  24 April 2023

Jessica Bourdon
Affiliation:
Center for Addiction Science, Wellbridge Addiction Treatment and Research, Calverton, NY
Taylor Fields
Affiliation:
Center for Addiction Science, Wellbridge Addiction Treatment and Research, Calverton, NY
Sidney Judson
Affiliation:
Center for Addiction Science, Wellbridge Addiction Treatment and Research, Calverton, NY
Nehal Vadhan
Affiliation:
Center for Addiction Science, Wellbridge Addiction Treatment and Research, Calverton, NY Department of Psychiatry, Donald and Barbara School of Medicine at Hofstra /Northwell
Jon Morgenstern
Affiliation:
Center for Addiction Science, Wellbridge Addiction Treatment and Research, Calverton, NY Department of Psychiatry, Donald and Barbara School of Medicine at Hofstra /Northwell
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Abstract

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OBJECTIVES/GOALS: Effective translation of data to inform real-time patient care is lacking in addiction inpatient settings. The current study presents the optimization of a Comprehensive Rehabilitation Assessment summary report that is used by clinicians to individualize treatment. METHODS/STUDY POPULATION: A multi-aim approach was taken that utilized aspects of various implementation science frameworks. Participants were clinical staff (N = 7; female = 71%). A quantitative survey was used for aims 1 and 2 to assess motives and context around the report as well as evaluate the design of it. Aim 3 focused on optimization via semi-structured interviews. Descriptive and modified content analyses were utilized appropriately for each aim. RESULTS/ANTICIPATED RESULTS: Five versions of the assessment report were created between February 2021 and August 2022, the most recent of was adapted into patients’electronic medical records based on study results. Each report version, participants’results/feedback, and researchers’perceived barriers to this translational process will be discussed. DISCUSSION/SIGNIFICANCE: The current study highlights a replicable approach for optimizing the translation of assessment data into treatment for patients with disorders of addiction.

Type
Precision Medicine/Health
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2023. The Association for Clinical and Translational Science