|Institution:||University of Canterbury|
|Keywords:||audiology; hearing aids; hearing aid satisfaction; New Zealand; hearing impairment; hearing loss; self-efficacy; SADL|
|Full text PDF:||http://hdl.handle.net/10092/10414|
Introduction: This study investigated hearing aid (HA) satisfaction among adult with hearing impairment (HI) in New Zealand. This study aimed to answer three questions: 1) What are the current HA satisfaction levels amongst adult HA users in New Zealand? 2) How do the satisfaction findings of this study compare with other HA satisfaction data? 3) What client factors are related to HA satisfaction? Method: Participants were recruited prospectively. They completed a questionnaire prior to HA fitting and a questionnaire three months post-fitting. Information was collected on: age, gender, HA experience, HI severity, hearing ability, change in hearing ability, hearing handicap, communication self-efficacy, change in communication self-efficacy, HA self-efficacy, HA usage, and number of appointments. HA satisfaction was measured via the Satisfaction with Amplification in Daily Life questionnaire (SADL; Cox & Alexander, 1999). Results: Data were collected for 47 participants. Of these, 91.5% fell within or above the normative range for global satisfaction established by Cox & Alexander (1999). The mean SADL scores were predominantly high compared to previous research. Satisfaction with negative features of HAs was especially high in this study. However satisfaction with the service and cost of HAs was low compared to other research. SADL scores were found to significantly relate to age, gender, change in hearing ability, hearing handicap, communication self-efficacy, change in communication self-efficacy, and HA self-efficacy. Conclusions: Results differed from previous research indicating that HA satisfaction may differ over time and across countries. Assessing HA satisfaction in a comprehensive standardised way, as opposed to with a single-item measure, can help identify important related factors. Targeting identified variables such as communication and HA self-efficacy may lead to improved treatment efficacy.