A MULTIMODAL ANALYSIS OF HEAR-A MOBILE HEARING SCREENING APPLICATION
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Presented here are the results of a series of three studies focused on the need, validation, and improvement of hEAR, a mobile hearing screening application. The first study was a systematic review of 37 peer-reviewed studies to assess the efficacy of different types of audiology mHealth interventions, especially in high-risk populations. Four main modes of technology used to deliver the mHealth intervention were identified, out of which remote computing was found to be most effective. Smartphone applications were found to be as efficacious, but the results were dependent on the population characteristics. The study resulted in demonstrating the need for hEAR in high risk populations. The purpose of the second study was to validate headphone hardware for use with hEAR, when compared to a pure tone audiometric test. Both hEAR and the audiologist’s test used 7 frequencies (independent variable), 125 Hz, 250 Hz, 500 Hz, 1000 Hz, 2000 Hz, 4000 Hz and 8000 Hz, and the recorded measurements were sound pressure levels (dependent variable) measured in decibels. Participants (30) from Texas A&M University were recruited based on a screener, and were randomly assigned and counterbalanced to one of two groups, differing in the order the hEAR tests and the audiologist’s test were administered. Data were analyzed using a generalized estimating equation model at α=0.05, which showed that Pioneer headphones, were comparably similar to the audiologist’s test at all frequencies. The third study was a multi-method assessment of hEAR based on user-centered design principles. Six nurses and thirty students from the Bryan Independent School District were recruited and the assessments were conducted at the participants’ schools. Nurses used hEAR to screen their students, after which the nurses filled out two questionnaires: The System Usability Scale and the After-Scenario Questionnaire. The time taken to complete the tasks, as well as the number of errors committed were also observed. The nurses participated in individual in-depth interviews. The result of the assessments revealed 8 problems that the nurses encountered during their use of hEAR, which were then grouped into 4 usability themes to derive user-centered design recommendations for similar mHealth applications.
user-centered design analysis
Dakuri, Lakshmi Vaishnavi (2019). A MULTIMODAL ANALYSIS OF HEAR-A MOBILE HEARING SCREENING APPLICATION. Doctoral dissertation, Texas A&M University. Available electronically from