Journal article
The Charcot-Marie-Tooth Health Index: Evaluation of a Patient-Reported Outcome
Annals of neurology, Vol.84(2), pp.225-233
08/2018
DOI: 10.1002/ana.25282
PMCID: PMC6168418
PMID: 30014533
Abstract
The development of a disease-specific patient-reported outcome for Charcot-Marie-Tooth disease is an important step in the preparation for therapeutic trials. This study describes the development of the Charcot-Marie-Tooth Health Index (CMTHI).\nInherited Neuropathy Consortium Contact Registry participants were queried on the symptoms that most impacted their lives. The CMTHI was developed based on these responses. Factor analysis, assessment of test-retest reliability, known group validity, and patient interviews were utilized to refine the instrument.\nThe final CMTHI contains 18 themes that capture Charcot-Marie-Tooth disease (CMT) burden. The CMTHI has a high internal consistency and test-retest reliability. The CMTHI was able to discriminate between patient groups expected to have different disease burden. The CMTHI was able to discriminate levels of disability as measured by the CMT examination score and the mobility-Disability Severity Index.\nThe CMTHI represents a valid and reliable outcome to assess patient-reported disease burden in CMT. Ann Neurol 2018;84:225-233.
Details
- Title: Subtitle
- The Charcot-Marie-Tooth Health Index: Evaluation of a Patient-Reported Outcome
- Creators
- Nicholas E Johnson - Department of Neurology, Virginia Commonwealth University, Richmond, VAChad Heatwole - Department of Neurology, University of Rochester, Rochester, NYPeter Creigh - Department of Neurology, University of Rochester, Rochester, NYMichael P McDermott - Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NYNuran Dilek - Department of Neurology, University of Rochester, Rochester, NYMan Hung - Department of Orthopedics, University of Utah, Salt Lake City, UTJerry Bounsanga - Department of Orthopedics, University of Utah, Salt Lake City, UTWan Tang - Department of Global Biostatistics and Data Science, Tulane University, New Orleans, LAMichael E Shy - Department of Neurology, University of Iowa, Iowa City, IADavid N Herrmann - Department of Neurology, University of Rochester, Rochester, NY
- Resource Type
- Journal article
- Publication Details
- Annals of neurology, Vol.84(2), pp.225-233
- DOI
- 10.1002/ana.25282
- PMID
- 30014533
- PMCID
- PMC6168418
- NLM abbreviation
- Ann Neurol
- ISSN
- 0364-5134
- eISSN
- 1531-8249
- Publisher
- United States
- Grant note
- K23 NS091511 / National Institute of Neurological Disorders and Stroke\nNINDS 1K23NS091511-01 / NINDS NIH HHS\nU54 NS065712 / National Institute of Neurological Disorders and Stroke\nNINDS; 1U54NS0657 / NINDS NIH HHS
- Language
- English
- Date published
- 08/2018
- Academic Unit
- Neurology; Molecular Physiology and Biophysics; Stead Family Department of Pediatrics; Iowa Neuroscience Institute
- Record Identifier
- 9984070700702771
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