Validation of a Smartphone-Based Hearing-in-Noise Test (HearMe)
NCT ID: NCT03429777
Last Updated: 2021-07-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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WITHDRAWN
NA
INTERVENTIONAL
2021-08-01
2024-05-01
Brief Summary
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The app (called HearMe) can potentially be used to easily and quickly collect hearing-in-noise and speech-in-noise measurements. The smartphone app developed is a hearing-in-noise test that presents the subject with a series of stimuli consisting of a spoken three-digit sequence presented at a varying hearing-to-noise ratio. For each stimulus presentation, the user tap the three-digit sequence. The duration of the app is less than 3 minutes. For this project the investigators will test at least 50 subjects with hearing loss and 50 control subjects between the ages of 18-80. The subjects will be invited to take the app. The approach for this pilot study is to characterize hearing-in-noise thresholds (also referred to as a speech-reception threshold) as measured by the app in both subject groups, and relate it to the phenotype of each group as a preliminary evaluation of the app as well as a preliminary validation against their routinely collected measurements of hearing function (pure-tone audiometry thresholds).
The study will assess the validity of the test construct in measuring hearing-in-noise thresholds, and serve as a foundation for further iterative designs of the app and future validation and characterization studies. This study seeks to validate a developed smartphone HINT on an initial cohort of patients and controls. It is anticipated that patients with hearing loss will display higher signal-to-noise ratio thresholds (as measured by the iPhone app) compared to controls.
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Detailed Description
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Over the past decades, several Speech-In-Noise tests were developed to get a better assessment of a person's hearing ability in real-life situations. These tests generally measure the speech reception threshold (SRT) in dB signal to noise ratio (SNR). SRT is determined as the difference between the level of presented speech and background noise at which the tested per- son can correctly reproduce 50% of words or sentences. It is now generally recognized that the SRT is more representative of a patient's hearing ability in real-life situations than pure- tone audiometry or speech recognition in quiet. The Speech- In-Noise test, based on spoken sentences, is still being used in clinical practice. However, its general use for a broad clinical population has been disputed because not every person is able to understand and repeat complete sentences in noise, regardless of his hearing loss. This test is there- fore considered as an assessment of the entire auditory system, including memory and certain linguistic aspects, rather than of hearing loss alone.
In 2013, the Digits-In-Noise (DIN) test was developed, overcoming several shortcomings of the previous telephone test. It uses, for example, wideband signals instead of the limited telephone bandwidth and concatenating digits, spoken by a male voice. The DIN test requires listeners to repeat three spoken numbers (a so-called digit triplet) presented through a headphone, while a continuous noise is presented synchronously to the same ear. The response is then scored correct or incorrect automatically by the computer. Depending on the test setting, the response can either be imputed by the listener him- self or by an administrator. By using simple digits in a closed set paradigm, the contribution of top-down processing and thus the influence of cognitive status is thought to be minimized. For this test, no learning effect was detected, low measurement errors were reported (0.7 dB SNR for normal-hearing listeners) and high validity was claimed by comparing measured digit- triplet SRTs and sentence SRTs. Although SRT-in-noise reflects different aspects of hearing acuity than pure-tone thresholds, both measures are also highly correlated. Previously reported correlation coefficients vary from 0.77 to 0.86. These studies included populations with a wide range of hearing losses, varying from severe to no hearing loss at all.
Based on this relationship, the DIN test could potentially be used as a screening instrument for hearing loss. However, these two studies did not report specifically on a population of elderly subjects, and this is one of the main target groups for hearing screening. It is important to validate the assumed relationship between SRT-in-noise and hearing loss for this particular population with a smartphone, as it may be influenced by general aging, for example, a decline in cognitive skills.
The purpose of this project is to validate a quick, easy-to-use and administer smartphone hearing-in-noise test. The app (called HearMe) can potentially be used to easily and quickly collect hearing-in-noise and speech-in-noise measurements. The smartphone app developed is a hearing-in-noise test that presents the subject with a series of stimuli consisting of a spoken three-digit sequence presented at a varying hearing-to-noise ratio. For each stimulus presentation, the user tap the three-digit sequence. The duration of the app is less than 3 minutes. For this project we will test at least 50 participants with hearing loss and 50 control subjects between the ages of 18-80. The participants will be invited to take the app. The approach for this pilot study is to characterize hearing-in-noise thresholds (also referred to as a speech-reception threshold) as measured by the app in both participant groups, and relate it to the phenotype of each group as a preliminary evaluation of the app as well as a preliminary validation against their routinely collected measurements of hearing function (pure-tone audiometry thresholds).
With this study, the investigators aim to evaluate the developed smartphone HINT/DIN test for its ability to screen the elderly for hearing loss. The investigators hope to examine the relationship between pure-tone thresholds and SRT-in-noise as measured by the HearMe smartphone application.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
SCREENING
SINGLE
Study Groups
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Hearing Loss Group
The investigators will characterize hearing-in-noise thresholds (also referred to as a speech-reception threshold) as measured by the HearMe app in patients with hearing loss.
HearMe Smartphone Application
The HearMe smartphone application is a digits-in-noise test that can be used to digitally quantify speech reception thresholds.
Control Group
The investigators will characterize hearing-in-noise thresholds (also referred to as a speech-reception threshold) as measured by the HearMe app in control subjects without any prior or current hearing loss.
HearMe Smartphone Application
The HearMe smartphone application is a digits-in-noise test that can be used to digitally quantify speech reception thresholds.
Interventions
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HearMe Smartphone Application
The HearMe smartphone application is a digits-in-noise test that can be used to digitally quantify speech reception thresholds.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Healthy normal controls with no known hearing loss
* Patients with clinically assessed hearing loss
Exclusion Criteria
* Cognitive decline or dysfunction, dementia
18 Years
100 Years
ALL
Yes
Sponsors
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University of Iowa
OTHER
Responsible Party
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Kasra Zarei
Student
Principal Investigators
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Zarei
Role: PRINCIPAL_INVESTIGATOR
University of Iowa
References
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Ciorba A, Bianchini C, Pelucchi S, Pastore A. The impact of hearing loss on the quality of life of elderly adults. Clin Interv Aging. 2012;7:159-63. doi: 10.2147/CIA.S26059. Epub 2012 Jun 15.
Culling JF, Zhao F, Stephens D. The viability of speech-in-noise audiometric screening using domestic audio equipment. Int J Audiol. 2005 Dec;44(12):691-700. doi: 10.1080/14992020500267017.
Dalton DS, Cruickshanks KJ, Klein BE, Klein R, Wiley TL, Nondahl DM. The impact of hearing loss on quality of life in older adults. Gerontologist. 2003 Oct;43(5):661-8. doi: 10.1093/geront/43.5.661.
Davis A, Smith P, Ferguson M, Stephens D, Gianopoulos I. Acceptability, benefit and costs of early screening for hearing disability: a study of potential screening tests and models. Health Technol Assess. 2007 Oct;11(42):1-294. doi: 10.3310/hta11420.
DePaolis RA, Janota CP, Frank T. Frequency importance functions for words, sentences, and continuous discourse. J Speech Hear Res. 1996 Aug;39(4):714-23. doi: 10.1044/jshr.3904.714.
Grant KW, Walden TC. Understanding excessive SNR loss in hearing-impaired listeners. J Am Acad Audiol. 2013 Apr;24(4):258-73; quiz 337-8. doi: 10.3766/jaaa.24.4.3.
Houtgast T, Festen JM. On the auditory and cognitive functions that may explain an individual's elevation of the speech reception threshold in noise. Int J Audiol. 2008 Jun;47(6):287-95. doi: 10.1080/14992020802127109.
Jansen S, Luts H, Dejonckere P, van Wieringen A, Wouters J. Exploring the sensitivity of speech-in-noise tests for noise-induced hearing loss. Int J Audiol. 2014 Mar;53(3):199-205. doi: 10.3109/14992027.2013.849361. Epub 2013 Nov 18.
Killion MC, Niquette PA, Gudmundsen GI, Revit LJ, Banerjee S. Development of a quick speech-in-noise test for measuring signal-to-noise ratio loss in normal-hearing and hearing-impaired listeners. J Acoust Soc Am. 2004 Oct;116(4 Pt 1):2395-405. doi: 10.1121/1.1784440.
Potgieter JM, Swanepoel de W, Myburgh HC, Hopper TC, Smits C. Development and validation of a smartphone-based digits-in-noise hearing test in South African English. Int J Audiol. 2015 Jul;55(7):405-11. doi: 10.3109/14992027.2016.1172269. Epub 2016 Apr 28.
Provided Documents
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Document Type: Study Protocol
Related Links
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American National Standard, Methods for Calculation of the Speech Intelligibility Index.
Other Identifiers
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201712793
Identifier Type: -
Identifier Source: org_study_id
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