Abstract

The early identification of non-responding psychotherapy clients and reducing their treatment failure rates are the principal functions of Clinical Support Tools (CST). Nearly two decades of patient-focused research have produced several "evidence-based treatment monitoring" (EBTM) practices, that measure individual patients' responses to theory-guided treatments and alert therapists of clients who are at risk of eventual treatment failure. Clinical Support Tools are a quality management program that bundle several EBTM practices, and have been shown to improve outcomes in failing clients (Shimokawa, Lambert & Smart, 2010). Appropriately, EBTM has generated significant interest as it expands notions of what constitutes evidence-based practice with non-responding patients (APA, 2006). There is a practical need to disseminate Clinical Support Tools to a wider audience of clinicians and practice environments. The current study was designed to advance understanding of CST mechanisms by providing detailed, qualitative data that demonstrate how CST procedures are utilized in routine practice. Eleven doctoral-level psychologists experienced in using Clinical Support Tools at a university counseling center were interviewed about their use of Clinical Support Tools with a recent non-responding client and about their general experiences with past non-responding clients. Clinicians' responses were categorized as Actions, Decisions, or Attitudes, and were subjected to inductive, thematic content analysis. Results were interpreted to indicate which CST functions were active or inactive in the therapists' routine care. Findings indicated that therapists utilized CST resources to monitor patient status, to identify problems that may have explained therapy non-response, and to initiate corrective interventions. Although it was clear that therapists used the CST signal-alarm system to initiate a problem assessment and corrective intervention, it was less clear whether therapists used CST's to determine significance of client change or to determine the client's prognosis. This observation needs to be confirmed through further investigation. Future research that quantifies CST utilization and investigates implementation-outcome relationships is recommended. Finally, practical avenues for increasing the influence and prevalence of EBTM practices in behavioral healthcare are discussed.

Degree

PhD

College and Department

Family, Home, and Social Sciences; Psychology

Rights

http://lib.byu.edu/about/copyright/

Date Submitted

2011-08-26

Document Type

Dissertation

Handle

http://hdl.lib.byu.edu/1877/etd4768

Keywords

assessment, evidence-based treatment, computer-based decision support systems, treatment monitoring, treatment failure, outcome feedback, qualitative, utilization

Included in

Psychology Commons

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