Consistency checks to improve measurement with the Positive and Negative Syndrome Scale (PANSS)

ISCTM ALGORITHMS/FLAGS TO IDENTIFY CLINICAL INCONSISTENCY IN THE USE OF RATING SCALES IN CNS RCTs working group members

doi:10.1016/j.schres.2017.03.017

Consistency checks to improve measurement with the Positive and Negative Syndrome Scale (PANSS)

ISCTM ALGORITHMS/FLAGS TO IDENTIFY CLINICAL INCONSISTENCY IN THE USE OF RATING SCALES IN CNS RCTs working group members

Clinical Departments

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13 Scopus citations

Abstract

International Society for CNS Clinical Trials and Methodology convened an expert working-group that assembled consistency/inconsistency flags for the Positive and Negative Syndrome Scale (PANSS). Twenty-four flags were identified and divided based on extent to which they represent error (Possibly, Probably, Very probably or definitely). The flags were applied to assessments derived from the NEWMEDS data repository and the CATIE clinical trial data. Almost 40% of ratings had at least one inconsistency flag raised and 10% had two. Application of flags to clinical rating can improve reliability and validity of trials.

Original language	English
Pages (from-to)	74-76
Number of pages	3
Journal	Schizophrenia Research
Volume	190
DOIs	https://doi.org/10.1016/j.schres.2017.03.017
State	Published - Dec 2017

Funding

Funders	Funder number
Abraham Pharmaceuticals
BiolineRX
FP7/2007
MHS Inc.
National Institutes of Health
National Institute on Aging	K25AG051782
Eli Lilly and Company
Pfizer
Roche
Qatar National Research Fund
Stanley Foundation
Les Laboratories Pierre Fabre
Seventh Framework Programme
Servier

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10.1016/j.schres.2017.03.017

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title = "Consistency checks to improve measurement with the Positive and Negative Syndrome Scale (PANSS)",

abstract = "International Society for CNS Clinical Trials and Methodology convened an expert working-group that assembled consistency/inconsistency flags for the Positive and Negative Syndrome Scale (PANSS). Twenty-four flags were identified and divided based on extent to which they represent error (Possibly, Probably, Very probably or definitely). The flags were applied to assessments derived from the NEWMEDS data repository and the CATIE clinical trial data. Almost 40% of ratings had at least one inconsistency flag raised and 10% had two. Application of flags to clinical rating can improve reliability and validity of trials.",

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year = "2017",

month = dec,

doi = "10.1016/j.schres.2017.03.017",

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journal = "Schizophrenia Research",

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AU - ISCTM ALGORITHMS/FLAGS TO IDENTIFY CLINICAL INCONSISTENCY IN THE USE OF RATING SCALES IN CNS RCTs working group members

AU - Rabinowitz, Jonathan

AU - Schooler, Nina R.

AU - Anderson, Ariana

AU - Ayearst, Lindsay

AU - Daniel, David

AU - Davidson, Michael

AU - Khan, Anzalee

AU - Kinon, Bruce

AU - Menard, Francois

AU - Opler, Lewis

AU - Opler, Mark

AU - Severe, Joanne B.

AU - Williamson, David

AU - Yavorsky, Christian

AU - Zhao, Jun

PY - 2017/12

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ER -

Consistency checks to improve measurement with the Positive and Negative Syndrome Scale (PANSS)

Abstract

Funding

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