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Tools for standardized data collection: Speech, Language, and Hearing measurement protocols in the PhenX Toolkit.
- Source :
-
Annals of human genetics [Ann Hum Genet] 2022 Jan; Vol. 86 (1), pp. 45-51. Date of Electronic Publication: 2021 Sep 28. - Publication Year :
- 2022
-
Abstract
- The PhenX Toolkit (https://www.phenxtoolkit.org/) is an online catalog of recommended measurement protocols to facilitate cross-study analyses for biomedical research. An expert review panel (ERP) reviewed and updated the PhenX Toolkit Speech and Hearing domain to improve the precision and consistency of speech, language, and hearing disorder phenotypes. A three-member ERP convened in August 2018 to review the measurement protocols in the PhenX Speech and Hearing domain. Aided by three additional experts in voice assessment, vertigo, and stuttering, the ERP updated the 28 protocols to reflect the latest science and technology. ERP recommendations include six new protocols, five updated protocols (from the same source), and one retired protocol. New additions include two voice-related, three hearing-related, and two speech-related protocols. Additions reflect new phone/tablet applications for hearing and language, and clinical evaluations of voice. "Language" was added to the domain name, which is now "Speech, Language, and Hearing," to represent language-related protocols. These protocols can facilitate the assessment of speech, language, and hearing in clinical and population research. Common data elements (i.e., use of the same variables across studies) used by geneticists, otolaryngologists, audiologists, speech-language pathologists, and in other disciplines can lead to cross-study data integration and increased statistical power when studies are combined.<br /> (© 2021 Research Triangle Institute. Annals of Human Genetics published by University College London (UCL) and John Wiley & Sons Ltd.)
- Subjects :
- Hearing
Humans
Phenotype
Research Design
Speech
Subjects
Details
- Language :
- English
- ISSN :
- 1469-1809
- Volume :
- 86
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Annals of human genetics
- Publication Type :
- Academic Journal
- Accession number :
- 34582045
- Full Text :
- https://doi.org/10.1111/ahg.12447