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卡纳达语耳鸣障碍量表的开发与标准化

Development and standardization of tinnitus handicap inventory in Kannada.

作者信息

Zacharia Thomas, Naik Priyanka Vas, Sada Shwetha, Kuniyil Jensy Gangan, Dwarakanath Vikas Mysore

出版信息

Int Tinnitus J. 2012;17(2):117-23. doi: 10.5935/0946-5448.20120022.

Abstract

INTRODUCTION

Tinnitus Handicap Inventory (THI) was developed in English to quantify the handicap caused due to tinnitus. According to a survey conducted by USA, 40 million people are affected by tinnitus.

OBJECTIVES

India being a multilingual country needs to develop and standardize THI in Indian languages. The present study concentrates on Developing and Standardizing THI in Kannada.

MATERIALS AND METHODS

Questions from English version of THI were translated and modified by two professionals who have a degree of MA Kannada. Translated inventory was given to 50 native Kannada speakers for the familiarity check & the most familiar sentences were included in the study. Tinnitus questionnaire was then administered, followed by the Kannada version of THI on 140 patients and total scores were obtained.

RESULTS

Analysis revealed 14% of the patients fall under the category of Slight, 38% under Mild, 26% under Moderate, 16% under Severe and 6% under Catastrophic group. An item total correlation and Cronbach-alpha test was administered to examine the reliability measures and the scores were 0.883 and 0.885 on standardized item.

CONCLUSION

Scores of Cronbach-alpha test shows that Kannada version of THI is a standard and reliable tool for measuring the handicap caused by tinnitus and can successfully classify individuals on a severity basis.

摘要

引言

耳鸣障碍量表(THI)是用英文编制的,用于量化耳鸣所导致的障碍。根据美国进行的一项调查,有4000万人受耳鸣影响。

目的

印度是一个多语言国家,需要用印度语言开发和规范耳鸣障碍量表。本研究专注于用卡纳达语开发和规范耳鸣障碍量表。

材料与方法

两名拥有卡纳达语文学硕士学位的专业人员对耳鸣障碍量表英文版中的问题进行翻译和修改。将翻译后的量表发给50名卡纳达语母语者进行熟悉度检查,并将最熟悉的句子纳入研究。然后对140名患者进行耳鸣问卷调查,接着使用卡纳达语版耳鸣障碍量表,得出总分。

结果

分析显示,14%的患者属于轻度类别,38%属于中度,26%属于中度,16%属于重度,6%属于灾难性类别。进行了项目总分相关性和克朗巴赫α检验以检查信度指标,标准化项目的得分分别为0.883和0.885。

结论

克朗巴赫α检验得分表明,卡纳达语版耳鸣障碍量表是测量耳鸣所致障碍的标准且可靠的工具,能够成功地根据严重程度对个体进行分类。

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