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D DeBrota

Publications and source records attributed to D DeBrota.

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The problem of measurement error in multisite clinical trials.

The implementation of a multisite, randomized, clinical psychopharmacologic trial involves a substantial investment of time and effort on the part of all participants. Because of their complexity, such clinical trials present unique methodological and design challenges. Indeed, it is not uncommon for such studies to conclude with uninterpretable results, due in part to such methodological pitfalls. It has been suggested that clarification of such methodologic dilemmas is one of the most important challenges facing the future of industry-sponsored psychopharmacologic drug development. Among the many factors that may contribute to problematic clinical trial results, error in measuring the phenomena being studied is of particular concern. In this article, we describe the outcome of an intensive series of interrater reliability training sessions for the 17-item Hamilton Depression Rating Scale conducted at the start of a Phase II multisite clinical drug trial. The data underscore the magnitude of error present in such a test setting and provide preliminary evidence for the potential effect of this problem on the detection of clinical change.

Adult↗

The responsiveness of the Hamilton Depression Rating Scale.

In clinical studies of antidepressants, the Hamilton Depression Rating Scale (HAMD) total score has been the gold standard instrument for establishing and comparing the efficacy of new treatments. However, the HAMD is a multidimensional measure, which may reduce its ability to detect differences between treatments, in particular, changes in core symptoms of depression. Two meta-analyses were conducted to compare the responsiveness of the HAMD total score with several published unidimensional subscale scores based upon core symptoms of depression. The first compared the above instrument's ability to detect differences between fluoxetine and placebo across eight studies involving over 1600 patients. The second analysis involved four studies and over 1200 patients randomized to tricyclic antidepressants and placebo. In both meta-analyses, the unidimensional core subscales outperformed the HAMD total score at detecting treatment differences. The implications of this on sample sizes and power for clinical studies will be discussed. In fact, studies based on the observed effect sizes from the core subscales would require approximately one-third less patients than studies based on the HAMD total score. Effect sizes from each individual HAMD item will also be presented to help explain the differences in responsiveness between the scales.

Antidepressive Agents↗

Blood gas consultant.

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Blood Gas Analysis↗