Development and Validation of the Indonesian Voice Handicap Index Adapted for Javanese and Sundanese Speakers (I-VHI-JS)

Introduction: Voice disorders significantly impact quality of life. The Voice Handicap Index (VHI) is a widely used patient-reported outcome measure, but its applicability is limited by linguistic and cultural factors. Indonesia, with its diverse languages, requires culturally adapted versions. This study aimed to develop and validate the Indonesian Voice Handicap Index adapted for Javanese and Sundanese speakers (I-VHI-JS). Methods: The original English VHI was translated into Indonesian, Javanese, and Sundanese using a rigorous forward-backward translation process. A cross-sectional study was conducted involving three groups: (1) individuals with voice disorders (n=150; Javanese speakers = 75, Sundanese speakers = 75), (2) age- and gender-matched vocally healthy controls (n=150; Javanese speakers = 75, Sundanese speakers = 75), and (3) a test-retest reliability group (n=50; Javanese speakers = 25, Sundanese speakers = 25) from the voice disorder group. Participants completed the appropriate I-VHI-JS version. Otolaryngological examination and acoustic voice analysis (jitter, shimmer, noise-to-harmonics ratio) were performed. Internal consistency (Cronbach's alpha), test-retest reliability (intraclass correlation coefficient - ICC), construct validity (known-groups comparison), concurrent validity (correlation with acoustic parameters), and discriminant validity (receiver operating characteristic - ROC curve analysis) were assessed. Results: The I-VHI-JS demonstrated excellent internal consistency (Cronbach's alpha > 0.90 for all versions) and test-retest reliability (ICC > 0.85 for all versions). Significant differences in I-VHI-JS scores were found between the voice disorder and control groups (p < 0.001) for all language versions, confirming construct validity. Moderate correlations were observed between I-VHI-JS scores and some acoustic parameters (e.g., jitter, r = 0.45, p < 0.01; shimmer, r = 0.40, p < 0.01). ROC curve analysis showed excellent discriminant ability (area under the curve - AUC > 0.80 for all versions). Conclusion: The I-VHI-JS is a reliable and valid instrument for assessing voice-related handicaps in Indonesian, Javanese, and Sundanese speakers. It can be used in clinical practice and research to evaluate the impact of voice disorders and monitor treatment outcomes.

Authors

Institutions

Publication Details

Journal
Sriwijaya Journal of Otorhinolaryngology
Published
2025-03-14
DOI
https://doi.org/10.59345/sjorl.v2i2.186
Primary Topic
Voice and Speech Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Validation of the Indonesian Voice Handicap Index Adapted for Javanese and Sundanese Speakers (I-VHI-JS)

Eduardo Michael Perez, Andhika Kurnianta Kusuma, Hasrita Soleiman
Sriwijaya Journal of Otorhinolaryngology
Voice and Speech Disorders
article

Development and Validation of the Indonesian Voice Handicap Index Adapted for Javanese and Sundanese Speakers (I-VHI-JS)

Eduardo Michael Perez, Andhika Kurnianta Kusuma, Hasrita Soleiman
article en

Abstract

Introduction: Voice disorders significantly impact quality of life. The Voice Handicap Index (VHI) is a widely used patient-reported outcome measure, but its applicability is limited by linguistic and cultural factors. Indonesia, with its diverse languages, requires culturally adapted versions. This study aimed to develop and validate the Indonesian Voice Handicap Index adapted for Javanese and Sundanese speakers (I-VHI-JS). Methods: The original English VHI was translated into Indonesian, Javanese, and Sundanese using a rigorous forward-backward translation process. A cross-sectional study was conducted involving three groups: (1) individuals with voice disorders (n=150; Javanese speakers = 75, Sundanese speakers = 75), (2) age- and gender-matched vocally healthy controls (n=150; Javanese speakers = 75, Sundanese speakers = 75), and (3) a test-retest reliability group (n=50; Javanese speakers = 25, Sundanese speakers = 25) from the voice disorder group. Participants completed the appropriate I-VHI-JS version. Otolaryngological examination and acoustic voice analysis (jitter, shimmer, noise-to-harmonics ratio) were performed. Internal consistency (Cronbach's alpha), test-retest reliability (intraclass correlation coefficient - ICC), construct validity (known-groups comparison), concurrent validity (correlation with acoustic parameters), and discriminant validity (receiver operating characteristic - ROC curve analysis) were assessed. Results: The I-VHI-JS demonstrated excellent internal consistency (Cronbach's alpha > 0.90 for all versions) and test-retest reliability (ICC > 0.85 for all versions). Significant differences in I-VHI-JS scores were found between the voice disorder and control groups (p < 0.001) for all language versions, confirming construct validity. Moderate correlations were observed between I-VHI-JS scores and some acoustic parameters (e.g., jitter, r = 0.45, p < 0.01; shimmer, r = 0.40, p < 0.01). ROC curve analysis showed excellent discriminant ability (area under the curve - AUC > 0.80 for all versions). Conclusion: The I-VHI-JS is a reliable and valid instrument for assessing voice-related handicaps in Indonesian, Javanese, and Sundanese speakers. It can be used in clinical practice and research to evaluate the impact of voice disorders and monitor treatment outcomes.

Sriwijaya Journal of OtorhinolaryngologyVol. 2(2)
Universitas Palembang (ID), Universidad Amazonica de Pando (BO)
Openalex Percentile: Top 94%
Voice and Speech Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.