Audio-digital recordings used for independent confirmation of site-based MADRS interview scores

Steven D Targum1, J Cara Pendergrass1, Chelsea Toner1

  • 1Clintara LLC, Boston, MA, USA.

Insights

Ensuring rating reliability in clinical trials is crucial. "Dual" scoring by independent, blinded raters using audio-digital pens confirmed site-based assessments, demonstrating high accuracy and broad applicability for subjective measures.

Area of Science:

  • Clinical Psychology
  • Psychiatry
  • Medical Technology

Background:

  • Clinical trial success hinges on reliable data collection, particularly for subjective measures.
  • Rater variability can introduce bias and compromise trial integrity.
  • The Montgomery-Asberg Depression Rating Scale (MADRS) is a key subjective measure in depression trials.

Purpose of the Study:

  • To evaluate the reliability of site-based rater scores using a novel "dual" scoring method.
  • To assess the accuracy and feasibility of using independent, blinded raters to confirm clinical trial assessments.
  • To explore the utility of audio-digital pens in enhancing data quality for subjective rating scales.

Main Methods:

  • Audio-digital pens recorded site-based interviews for the MADRS during a double-blind, placebo-controlled trial.
  • Independent, blinded raters generated "dual" scores from these recordings.
  • Statistical analysis compared site-based and site-independent ratings for correlation, sensitivity, specificity, and kappa coefficients.

Main Results:

  • High correlation (r=0.940) was observed between site-based and site-independent rater scores.
  • Blinded raters achieved 89.4% overall accuracy and a 0.786 kappa coefficient in matching treatment response outcomes.
  • The "dual" scoring method demonstrated high sensitivity, specificity, and predictive values.

Conclusions:

  • "Dual" scoring by independent, blinded raters is a reliable method to confirm subjective assessments in clinical trials.
  • This quality assurance strategy enhances data integrity and can identify "outlier" raters.
  • The method shows broad applicability for studies utilizing subjective measures and requiring high ratings reliability.