An Implementation Approach to Translating Assessment Data into Treatment for Disorders of Addiction

Abstract

Effective translation of data to inform real-time patient care is lacking in addiction inpatient settings. The current study presents the optimization of an assessment report that is used by clinicians to individualize treatment. A multi-aim, iterative approach was taken, utilizing an implementation science perspective to arrive at a final version of the assessment report. This occurred at a small inpatient addiction treatment facility. Participants were all available clinical staff (N = 7; female = 71%). A quantitative survey was used for aims 1 and 2 to, respectively, assess motives and context around the report as well as evaluate its design. Aim 3 focused on optimization via semi-structured interviews. Descriptive and modified content analyses were utilized appropriately across aims. This resulted in five versions of the assessment report being created between February 2021 and August 2022, the most recent of which was adapted into patients’ electronic medical records. We discuss each version of the report in depth, including clinicians’ iterative feedback and researchers’ perceived barriers to this translational process. The response rate was 64.3%. The current study highlights a replicable approach for optimizing the translation of assessment data into treatment for patients with disorders of addiction as well as an assessment report that could be utilized by similar facilities with a naturally low sample size.