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Activity Number: 623
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Medical Devices and Diagnostics
Abstract #319711 View Presentation
Title: Assessment of Multiple Aesthetic Photonumeric Scales: A Novel Algorithm for Randomly Selecting Populations with Minimal Imbalance Across Scale Grades
Author(s): Shraddha Mehta* and Rowena Fronda Bastero and Yijun Sun and Diane Murphy and Ray Zhu and Bhushan Hardas
Companies: Allergan and Allergan and Allergan and Allergan and Allergan and Allergan
Keywords: inter-rater reliability ; base rate problem ; intra-class correlation coefficient ; scale validation
Abstract:

An objective, quantitative measurement of assessing severity and outcomes plays a vital role in examining the effectiveness of a treatment. In aesthetic procedures, baseline status and post-treatment outcomes are best measured using photonumeric scales that allow raters to reproducibly determine treatment effects. Often, the reliability or agreement of raters on a scale is measured using intra-class correlation coefficient or weighted kappa, which are affected by the base rate issue where inter- and intra-rater agreements are artificially low when subjects are not equally distributed across all grades in the scale. This is inherently realized in multiple-scaled studies where several features of subjects are judged simultaneously using various scales. This makes it operationally difficult to achieve equal number of subjects across all grades for the different scales. In this research, a mechanism is developed that minimizes this imbalance across grades and thus diminishes the impact of the base rate problem on reliability indexes. Simulated and real-life data are used to show how this method reduces the effect of base rate issue by introducing balanace across grades of a scale.


Authors who are presenting talks have a * after their name.

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