Quality improvement methods as applied to a multicenter effectiveness trial--STAR*D.

In multicenter clinical trials, important aspects of trial performance (e.g., the number of participants who enter the trial within the required time frame, the number of participants who remain in the trial, and/or the completeness of the outcome data collected) directly affect the extent to which the study can achieve its aims. Obtaining the maximum amount of data from the maximum number of participants at each step in the trial increases the likelihood of identifying real differences in outcome. These aspects of trial performance can, therefore, be considered intermediate performance goals of the study since success in achieving each of them is directly related to success in achieving study aims. A quality improvement system was introduced to improve efficiency and performance in the multicenter Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Four intermediate performance goals were targeted for quality improvement efforts: (1) initial enrollment of subjects, (2) collection of entry/exit primary outcome data, (3) retention of subjects to enter subsequent "levels" of the trial, and (4) collection of blood samples for genetics studies. The identification of numerical targets for these goals provides a basis for monitoring performance and for implementing attempts to improve performance, since success in achieving each goal is directly related to success in achieving the study aims. This paper describes the background, rationale, development, and potential utility of implementing a quality improvement system to improve the performance and efficiency of the trial.

Duke Scholars

Author Augustus John Rush Psychiatry & Behavioral Sciences, Behavioral Medicine & Neur ...