卡纳达语版嗓音障碍指数-10的心理测量学特性

Psychometric Properties of the Voice Handicap Index-10 in Kannada.

作者信息

Benoy Jesnu Jose, Jayakumar Thirunavukkarasu

机构信息

Department of Speech-Language Sciences, All India Institute of Speech and Hearing, Mysuru, Karnataka, India.

出版信息

J Voice. 2023 Oct 7. doi: 10.1016/j.jvoice.2023.09.013.

DOI:10.1016/j.jvoice.2023.09.013

PMID:37806903

Abstract

OBJECTIVES

This study aimed to derive the 10-item voice handicap index in the Kannada language (VHI-K10) from the existing VHI-30 in Kannada (VHI-K30). We also aimed to examine several psychometric properties of the newly derived VHI-K10, such as internal consistency, reliability, concurrent validity, discriminant validity, and diagnostic accuracy.

METHODS

Initially, VHI-K10 was derived from the existing VHI-K30 through item reduction, consistent with the recommendations for item reduction of the voice handicap index. This newly derived VHI-K10 was administered to 273 individuals (199 individuals with dysphonia and 74 individuals with normal voice quality). We also obtained phonation and reading samples from the participants. The obtained data were subjected to appropriate statistical analysis to determine several psychometric properties.

RESULTS

The newly derived VHI-K10 was found to have a strong internal consistency (Cronbach's α = 0.93). We also found strong test-retest reliability for VHI-K10, with an intraclass correlation coefficient of 0.933. There was a strong statistically significant correlation between the VHI-K10 and the existing VHI-K30 for both individuals with dysphonia (ρ = 0.924, P < 0.001) and individuals with normal voice quality (ρ = 0.798, P < 0.001). However, the correlation of VHI-K10 with the auditory-perceptual measure of GRBAS was fair (ρ = 0.353, P < 0.001) for individuals with dysphonia and was not statistically significant for individuals with normal voice quality. Further, the diagnostic accuracy of VHI-K10 was found to be excellent, with an area under the curve (A) value of 0.926 with a cut-off point of ≥6.5, which was slightly superior to that of VHI-K30 (A = 0.909, cut-off point ≥21.5).

CONCLUSIONS

The shortened 10-item version of the voice handicap index in Kannada is consistent with versions of the VHI-10 in other languages. This version of the VHI-10 in Kannada is found to be a robust tool with strong psychometric properties.

摘要

目的

本研究旨在从现有的卡纳达语语音障碍指数30项版本（VHI-K30）中推导卡纳达语语音障碍指数10项版本（VHI-K10）。我们还旨在检验新推导的VHI-K10的几种心理测量特性，如内部一致性、信度、同时效度、区分效度和诊断准确性。

方法

最初，VHI-K10是通过项目缩减从现有的VHI-K30中推导出来的，这与语音障碍指数项目缩减的建议一致。将这个新推导的VHI-K10应用于273名个体（199名发声障碍个体和74名嗓音质量正常的个体）。我们还从参与者那里获取了发声和阅读样本。对获得的数据进行适当的统计分析，以确定几种心理测量特性。

结果

新推导的VHI-K10具有很强的内部一致性（克朗巴哈α系数=0.93）。我们还发现VHI-K10具有很强的重测信度，组内相关系数为0.933。对于发声障碍个体（ρ=0.924，P<0.001）和嗓音质量正常的个体（ρ=0.798，P<0.001），VHI-K10与现有的VHI-K30之间均存在很强的统计学显著相关性。然而，对于发声障碍个体，VHI-K10与GRBAS听觉感知测量的相关性一般（ρ=0.353，P<0.001），而对于嗓音质量正常的个体则无统计学显著相关性。此外，发现VHI-K10的诊断准确性极佳，曲线下面积（A）值为0.926，截断点≥6.5，略优于VHI-K30（A=0.909，截断点≥21.5）。