Therapist Engagement and Outcomes
Jeb Brown, Ph.D, Center for Clinical Informatics
Christophe Cazauvieilh, Ph.D, IRPPSY and University of Bordeaux, France
The purpose of this brief report is to present findings observed on the relationship between clinicians engaged in feedback informed treatment and patient outcomes within the same time period. Clinician engagement was measured by the frequency with which clinicians logged into the ACORN Toolkit to view their data.
The report is intended to present findings in a simple format with easy to interpret graphs to assist is visualizing the distribution of results. More detailed reporting on results are available upon request.
The report is primarily geared towards participants within the ACORN Collaboration and assumes a familiarity with the web bases application ACORN Decision Support Toolkit and the metrics used to report clinical outcomes.
Prior analyses conducted in collaboration with the ACORN Scientific Advisory Committee has revealed an association between the frequency with which a clinician views their data and the distribution of the patient outcomes as evaluated using the Severity Adjusted Effect Size (SAES). SAES is a metric that controls for differences in severity of distress at intake, diagnostic group, and session number of the first assessment. (Brown, Simon, Cameron & Minami, 2015)
Tracking clinician effectiveness as well as the frequency of Toolkit usage over a period of several years has revealed that outcomes tend to vary with the concurrent use of the Toolkit. For example, a clinician with excellent results in one year who then tends to log in much less often the the following year is more likely to see results go down compared to a clinician who continues to log in with adequate frequency.
The present set of analyses is intended to demonstrate this and other phenomenon through use of easy to understand results supported by graphs.
A sample of therapists was identified based on two criteria:
those associated with a sample of at least 100 clinical range cases with multiple assessments prior to January 30, 2018
at least 15 similar cases in the 12 months following.