Current Edition

The Importance of Rater Training in Clinical Trials: A Webinar Focusing on Psychiatric Assessments and eCOA

14 September 2016; 3:00 pm GMT, 10:00 am ET
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Rater training is used within clinical trials to improve the consistency and reliability of subjective data collected from patients, caregivers/observers, and clinicians/interviewers. This webinar will review why rater training is so important, as well as what the FDA and EMA have determined regarding rater training and electronic data capture.

As the number and complexity of clinical trials has increased over the years, so too has the difficulty in monitoring and maintaining reliable data collection. Clinical trials often involve multiple sites, frequently across multiple countries, languages and cultures. Reliable data collection depends on consistency among and within the raters collecting data. Use of electronic Clinical Outcome Assessments (eCOA) and rater training for all clinical trial raters whether they are site staff or patients – improves data validity and reliability.

Because of the increase in the use of psychiatric assessments in clinical trials, more people without psychiatric experience are administering these assessments and many assessments rely on self-administration by research subjects, which makes rater training even more critical. Furthermore, it is just as important that raters experienced in psychiatric assessments be trained, as differences in assessment technique introduces significant variability into data.
This webinar will focus on the increased need for psychiatric assessments in clinical trials for indications involving non-psychiatric outcomes, as well as specific psychiatric primary outcomes. You will learn how rater bias, rater errors, and rater variability impact the quality of clinical data. Importantly, you will learn how rater training coupled with eCOA addresses many of the problems that plague clinical trials.
Unreliable data can lead to costly and potentially catastrophic results. Rater training and eCOA reduces poor data quality, improves inter-rater and intra-rater reliability, and reduces sample size while improving power to detect true effects. Join us in learning how to improve the quality of your clinical trials through rater training and eCOA.