Unknown

Dataset Information

0

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 occurrence=0%) were also considered improbable. SETTING:Specialized DOC program and university hospital. PARTICIPANTS:Patients diagnosed with DOCs (N=1190; coma: n=76, vegetative state: n=464, minimally conscious state: n=586, emerged from minimally conscious state: n=64; 794 men; mean age, 43±20y; traumatic etiology: n=747; time postinjury, 162±568d). INTERVENTIONS:Not applicable. MAIN OUTCOME MEASURE:Impossible and improbable CRS-R subscore combinations. RESULTS:Of the 1190 CRS-R profiles analyzed, 4.7% were excluded because they met scoring criteria for impossible co-occurrence. Among the 1137 remaining profiles, 12.2% (41/336) of possible subscore combinations were classified as improbable. CONCLUSIONS:Clinicians and researchers should take steps to ensure the accuracy of CRS-R scores. To minimize the risk of diagnostic error and erroneous research findings, we have identified 9 impossible and 36 improbable CRS-R subscore combinations. The presence of any one of these subscore combinations should trigger additional data quality review.

SUBMITTER: Chatelle C 

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

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Chatelle Camille C   Bodien Yelena G YG   Carlowicz Cecilia C   Wannez Sarah S   Charland-Verville Vanessa V   Gosseries Olivia O   Laureys Steven S   Seel Ron T RT   Giacino Joseph T JT  

Archives of physical medicine and rehabilitation 20160302 8


<h4>Objective</h4>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.<h4>Design</h4>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 sub  ...[more]

Similar Datasets

| S-EPMC5018674 | biostudies-literature
| S-EPMC8743847 | biostudies-literature
| S-EPMC8297543 | biostudies-literature
| S-EPMC7488705 | biostudies-literature
| S-EPMC5600098 | biostudies-literature
| S-EPMC9529298 | biostudies-literature
| S-EPMC4676759 | biostudies-literature
| S-EPMC6326414 | biostudies-literature
| S-EPMC9176762 | biostudies-literature
| S-EPMC10483104 | biostudies-literature