Affiliations 

  • 1 Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, Universiti Kebangsaan Malaysia, Hospital Canselor Tuanku Muhriz, Cheras, Kuala Lumpur, Malaysia
  • 2 Speech Therapy Unit, Department of Medical Rehabilitation Services, Universiti Kebangsaan Malaysia Medical Centre, Hospital Canselor Tuanku Muhriz, Cheras, Kuala Lumpur, Malaysia
  • 3 Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, Universiti Kebangsaan Malaysia, Hospital Canselor Tuanku Muhriz, Cheras, Kuala Lumpur, Malaysia. Electronic address: marinamatbaki@ppukm.ukm.edu.my
J Voice, 2023 Jul 25.
PMID: 37500358 DOI: 10.1016/j.jvoice.2023.05.021

Abstract

OBJECTIVE: Determining the cutoff point on Bahasa Malaysia version of Voice Handicap Index (mVHI-10) questionnaire scores for distinguishing between dysphonic and normal voice samples.

STUDY DESIGN: A cross-sectional study was conducted in the tertiary hospital, Otorhinolaryngology-Head and Neck clinic.

METHODS: The study involved 205 subjects (105 in the dysphonia group; 100 in the normal group) with a complete database of flexible laryngoscopy/stroboscopy, voice recording, acoustic analysis, and mVHI-10 score. A sample with a discrepancy between subjective evaluation and acoustic analysis results was excluded from the study. Each classified dataset matched with the respective mVHI-10 questionnaire score. Finally, all the collected data were subjected to data analysis.

RESULTS: The best cutoff point for mVHI-10 was 7.5 by the receiver operating characteristic curve, with an area under the curve value of 0.997. Its sensitivity, specificity, positive predictive value, and negative predictive value were 92.4%, 100.0%, 100.0%, and 93.0%, respectively.

CONCLUSIONS: The best cutoff point for mVHI-10 is 7.5, as determined by stringent data evaluation and rigorous statistical analysis. With excellent diagnostic accuracy properties, it enhances the usage of the mVHI-10 questionnaire as an excellent screening tool. Nevertheless, we advocate multidimensional voice assessment for diagnostic purposes.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.