The Investigation in Estimating The Severity of Hearing Handicap for Elders with Prebycusis

• Main Authors: Chiu-Lin Yang, 楊佳霖
• Other Authors: 陳小娟
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/50035613398451014349

碩士 === 國立高雄師範大學 === 溝通障礙教育研究所 === 92 === This study is purposed to investigate the relationship between hearing loss and handicap in senior adults with prebycusis, relationships between non-audiometric variables and self-report hearing handicap, relationships between audiometric variables and self-report hearing handicap, and to formulate a multiple regression analysis equation in estimating the degree of hearing handicap. Hopefully, the questionnaire will be adopted either by the medical institutions or social welfare organizations, as well as being used as an outcome measurement tool for the efficacy of aural rehabilitation programs. Subjects were 148 prebycusis senior adults, aged above 65. Data of non- audiometric variables were collected from them. Subjects filled out four questionnaires. Thirty subjects were then randomly selected to collect their audiometric data. Results are summarized as below: A. Analysis based on data from 148 objects： High correlations were observed among three kinds of self-reported hearing handicap questionnaires (p<.001). It reveals that these questionnaires could be used in estimating severity of hearing handicap for elders. B. Analysis based on data from 30 objects： 1. Among six audiometric variables, scores in word discrimination test and “Hearing Performance Inventory for The Elderly” gave the highest correlation coefficient, and it could explain 36.24 % variance in “Hearing Performance Inventory for The Elderly”. All the hearing variables could explain less than 40 % variance. 2. The five non-audiometric variables, including “desires to purchase the hearing aids”, “mental condition”, “age on the hearing impairment”, “nimbleness of fingers”, and “tinnitus condition” could explain 81.6 % of the variance in “Hearing Performance Inventory for The Elderly”.