Development of a computerized assessment of clinician adherence to a treatment guideline for patients with bipolar disorder.

Abstract

The adoption of treatment guidelines for complex psychiatric illness is increasing. Treatment decisions in psychiatry depend on a number of variables, including severity of symptoms, past treatment history, patient preferences, medication tolerability, and clinical response. While patient outcomes may be improved by the use of treatment guidelines, there is no agreed upon standard by which to assess the degree to which clinician behavior corresponds to those recommendations. This report presents a method to assess clinician adherence to the complex multidimensional treatment guideline for bipolar disorder utilized in the Texas Medication Algorithm Project. The steps involved in the development of this system are presented, including the reliance on standardized documentation, defining core variables of interest, selecting criteria for operationalization of those variables, and computerization of the assessment of adherence. The computerized assessment represents an improvement over other assessment methods, which have relied on laborious and costly chart reviews to extract clinical information and to analyze provider behavior. However, it is limited by the specificity of decisions that guided the adherence scoring process. Preliminary findings using this system with 2035 clinical visits conducted for the bipolar disorder module of TMAP Phase 3 are presented. These data indicate that this system of guideline adherence monitoring is feasible.

• Authors: Ellen B Dennehy, Trisha Suppes, A John Rush, M Lynn Crismon, B Witte, J Webster
• Journal: Journal of psychiatric research (J Psychiatr Res) 2004 May-Jun Vol. 38 Issue 3 Pg. 285-94 ISSN: 0022-3956 [Print] England
• PMID: 15003434 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S., Research Support, U.S. Gov't, P.H.S.)

Topics

• Algorithms
• Bipolar Disorder (therapy)
• Documentation
• Guideline Adherence
• Humans
• Medical Records Systems, Computerized
• Patient Care Planning
• Practice Guidelines as Topic
• Practice Patterns, Physicians' (statistics & numerical data)
• Software
• Treatment Outcome