Assessment of e-Audiology for Providing Clinical Services and Support for Age-related Hearing Loss: A Pilot Study
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Hearing Loss, Age-Related
- Sponsor
- University of South Florida
- Enrollment
- 10
- Locations
- 1
- Primary Endpoint
- Change From Baseline on the Hearing Handicap Inventory for the Elderly Screening Version (HHIE-S)
- Status
- Completed
- Last Updated
- 5 years ago
Overview
Brief Summary
Technological advances in hearing aids and telecommunications, including the widespread availability of telehealth (referred to in this proposal as "e-Audiology") applications, have the potential to expand both access and affordability of hearing aids for those with age-related hearing loss (ARHL). E-Audiology is used by clinicians in a variety of settings, including private practice, university clinics, and the Veterans Administration. The American Speech-Language-Hearing Association recently updated the Scope of Practice guidelines for audiology to include telehealth as "an alternative method of service delivery that en-compasses both diagnostics and intervention services.", including all aspects of hearing aid selection, fitting, and follow-up counseling and rehabilitation. However, given the paucity of evidence of comparative efficacy between office-based service delivery and e-Audiology in real-world settings, patients and relevant stakeholders are faced with a major decisional dilemma when determining which mode of service delivery would be optimal for addressing the needs, preferences, and lifestyles of those with ARHL. Thus, the purpose of this study is to determine the benefits, drawbacks, and patient satisfaction associated with e-Audiology delivery of hearing aid fitting, services, and supports for older adults with mild to moderate ARHL. We plan to use data collected in this pilot study for a future R01 submission to the NIH.
Detailed Description
Hearing loss is a chronic disability and a major public health concern. As the U.S. population ages, hearing loss prevalence rates are expected to nearly double by 2060 (Goman, Reed et al. 2017). Given this projection and the negative, costly impacts of untreated hearing loss on health outcomes, there is a national emphasis on increasing access and affordability of hearing healthcare (HHC) (President's Council of Advisors on Science and Technology 2015, National Academies of Sciences 2016). Two significant factors hinder the achievement of successful HHC outcomes: First, US adults face structural barriers to accessing HHC including high cost, and limited, inflexible points of entry into the system (National Academies of Sciences 2016). Second, hearing aids are often the sole intervention offered. While hearing aids improve speech understanding in quiet, difficulties understanding speech in challenging listening environments remain. Many of these difficulties can be addressed by including hearing assistive technology \[HAT\] options in the intervention plan. Unfortunately, hearing aid uptake is low for adults with hearing loss, and HAT usage is reported among only a fraction of those who use hearing aids (Southall, Gagné et al. 2009, Hartley, Rochtchina et al. 2010, Chien and Lin 2012, Bainbridge and Ramachandran 2014). Technological advances in hearing aids and telecommunications, including the widespread availability of "e-Audiology" applications, have the potential to expand both access and affordability of HHC by allowing for greater flexibility, lower costs, and personalized intervention plans that take into account the listening and lifestyle needs of the individual. There is a lack of evidence, however, as to how e-Audiology and patient acceptance for e-Audiology impact HHC outcomes. There is an urgent need to understand the efficacy of accessible, patient-centered, and comprehensive HHC alternative delivery models, like e-Audiology, without which the critical public health problem of untreated hearing loss in adults will likely worsen. With the long-term goal of enhancing decision-making by patients and providers and improving outcomes, the pilot data collected in this proposal will be used for an upcoming R01 submission which will be responsive to the NIDCD's call for research comparing different HHC delivery models and the utilization of new technologies to improve care. The overall objectives of this work are twofold. First, we will evaluate outcomes from an e-Audiology service delivery model. Second, we will determine the impact of patient preferences for delivery model on outcomes. The rationale of the proposed study is that the results will enhance the evidence-base for the use of e-Audiology as a mechanism for increasing HHC access for diverse adult populations. Results obtained will be submitted as pilot data in an upcoming R01 grant application.
Investigators
Victoria Sanchez (Williams)
Assistant Professor
University of South Florida
Eligibility Criteria
Inclusion Criteria
- •Aged 70 years or older
- •Community-dwelling
- •Can speak and read English fluently, assessed by self-report
- •Mild to severe sloping hearing loss, as determined by a 4-frequency pure-tone average (0.5 to 4.0 kHz) of \> 30 dB HL in the better ear and no greater than 90 dB at any frequency
- •Cognitively intact, as determined by a Mini Mental State Exam (MMSE) score of 23 or greater
- •Regular access to computer, tablet, or "smart device" capable of delivering the e-Audiology platform
Exclusion Criteria
- •Bilateral conductive hearing loss, defined as a \> 10 dB air-bone gap at 2 or more frequencies
- •Corrected vision no worse than 20/63, assessed by the MN Read Acuity vision screening
- •Unwillingness to use hearing aids on a daily basis, determined by self-report
Outcomes
Primary Outcomes
Change From Baseline on the Hearing Handicap Inventory for the Elderly Screening Version (HHIE-S)
Time Frame: 6 weeks post-intervention
The Hearing Handicap Inventory for the Elderly Screening (HHIE-S) (Ventry and Weinstein 1982, Newman and Weinstein 1988) will be used to measure self-reported hearing difficulties. The Hearing Handicap Inventory scale is reported as an average across all participants and has a minimum value of 0 and a maximum value of 40. Higher scores indicate more perceived social and emotional difficulty due to an individuals hearing loss. Change in HHIE scores were calculated based on the change from baseline to 6 weeks-post intervention.
Secondary Outcomes
- Change From Baseline on the Telehealth Acceptance Questionnaire (TAQ)(6 weeks post-intervention)
- Change From Baseline on the Quick Speech-in-Noise (QuickSIN) Test(6 weeks post-intervention)
- International Outcome Inventory for Hearing Aids (IOI-HA)(6 weeks post-intervention)