Children in rural and underserved communities experience a disproportionately high burden of infection-related hearing loss, which is often preventable with timely identification and follow-up care. A tympanometer is a device that evaluates the health of the middle ear but is often not used in screening programs due to barriers of high cost and need for trained professionals such as audiologists to use the device. To address these barriers, a low cost, lay friendly, mobile health (mHealth) prototype tympanometer has been developed. In addition, a machine learning (ML) algorithm has been designed to guide lay users to interpret tympanometer results, overcoming the need for audiologists. Broad implementation of the lay friendly tympanometer and ML algorithm will transform screening in areas where prevalence of infection-related hearing loss is high, and access to specialty care is limited. In this study the prototype mHealth tympanometer will be evaluated against commercial tympanometry. It will be used by audiologists, an essential step before testing the performance of the device with lay users. Approximately 20 adult patients and 10 pediatric patients with various middle ear pathologies will be enrolled in the study, with the goal of obtaining 60 ears with data from both the prototype and commercial tympanometers. Audiologists will obtain tympanometry measurements on both ears of each participant and interpret the results, first with the prototype device and then with the commercial tympanometer that is typically used during a clinical evaluation. Tympanometry interpretation will include classification into one of 3 categories (Type A, B, or C). Agreement in results between the prototype and commercial devices will be assessed. Agreement between audiologist interpretations and the ML algorithm from the prototype mHealth tympanometer will be assessed.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
39
The prototype mHealth tympanometer functions similarly to a commercial tympanometer. Tympanometers are designed to assess middle ear function by measuring changes in acoustic tone related to subtle movement of the tympanic membrane from an applied air pressure sweep. An audiologist will review the tympanogram tracings and classify results as Type A, B, or C.
A commercial tympanometer routinely used as part of standard of care will be used as the comparison. Tympanometers are designed to assess middle ear function by measuring changes in acoustic tone related to subtle movement of the tympanic membrane from an applied air pressure sweep. An audiologist will review the tympanogram tracings and classify results as Type A, B, or C.
Classification Agreement Between Prototype mHealth Tympanometer and Commercial Tympanometer
Audiologist will test each ear of the participant first with the prototype device, interpret the results into one of the three tympanogram categories (Type A/B/C) and record the results. The procedure will be repeated with a commercial device. Agreement between the two devices with respect to the classification categories will be assessed.
Time frame: Same day as participant visit, up to 10 minutes
Classification Agreement Between Audiologist and ML Algorithm Interpretations Using Prototype mHealth Tympanometer
Tympanogram results collected using the prototype mHealth tympanometer will be run through the ML algorithm for classification into Type A/B/C. Agreement between the audiologist and the ML algorithm with respect to the classification categories will be assessed.
Time frame: Same day as participant visit, up to 10 minutes
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