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Dataset Information

Detection and Interpretation of Impossible and Improbable Coma Recovery Scale-Revised Scores.


ABSTRACT:

Objective

To determine the frequency with which specific Coma Recovery Scale-Revised (CRS-R) subscale scores co-occur as a means of providing clinicians and researchers with an empirical method of assessing CRS-R data quality.

Design

We retrospectively analyzed CRS-R subscale scores in hospital inpatients diagnosed with disorders of consciousness (DOCs) to identify impossible and improbable subscore combinations as a means of detecting inaccurate and unusual scores. Impossible subscore combinations were based on violations of CRS-R scoring guidelines. To determine improbable subscore combinations, we relied on the Mahalanobis distance, which detects outliers within a distribution of scores. Subscore pairs that were not observed at all in the database (ie, frequency of occurr

SUBMITTER: Chatelle C 

PROVIDER: S-EPMC6095641 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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