ArticleJMIR mHealth and uHealth2019
A Mobile Phone-Based Approach for Hearing Screening of School-Age Children: Cross-Sectional Validation Study.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Pooled it
- Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis.JMIR mHealth and uHealth · 2021Pooled it
- Smartphone Apps in the Context of Tinnitus: Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Validation of self-hearing test in non-clinical setting: a systematic literature review.Brazilian journal of otorhinolaryngologyPooled it
- VALIDATION OF A BEHAVIOURAL, SPEECH SPECTRUM/SPEECH BASED mHEALTH HEARING SCREENER FOR CHILDREN.Wellcome open research · 2026Article
- Development and Beta Validation of an mHealth-Based Hearing Screener (SRESHT) for Young Children in Resource-Limited Countries: Pilot Validation Study.JMIR formative research · 2025Article
- Breaking Sound Barriers: Exploring Tele-Audiology's Impact on Hearing Healthcare.Diagnostics (Basel, Switzerland) · 2024Review
- Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S.BioData mining · 2023Article
- App-Based Hearing Screenings in Preschool Children With Different Types of Headphones: Diagnostic Study.JMIR mHealth and uHealth · 2023Article
- Evaluating the hearing screening effectiveness of active noise cancellation technology among young adults: A pilot study.Journal of the Chinese Medical Association : JCMA · 2023Article
- Long-term Follow-up of Patients With Hernia Using the Hernia-Specific Quality-of-Life Mobile App: Feasibility Questionnaire Study.JMIR formative research · 2022Article
- Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening.Sensors (Basel, Switzerland) · 2022Article
- A device and an app for the diagnosis and self-management of tinnitus.Journal of integrative bioinformatics · 2022Review
- COVID-19 and the resurgence of telehealth in otolaryngology.Operative techniques in otolaryngology--head and neck surgery · 2022Article
- Diagnostic Validity of Self-Reported Hearing Loss in Elderly Taiwanese Individuals: Diagnostic Performance of a Hearing Self-Assessment Questionnaire on Audiometry.International journal of environmental research and public health · 2021Article
- Validation of a Personalized Hearing Screening Mobile Health Application for Persons with Moderate Hearing Impairment.Journal of personalized medicine · 2021Article
- Optimization of the Speech Test Material in a Group of Hearing Impaired Subjects: A Feasibility Study for Multilingual Digit Triplet Test Development.Audiology research · 2021Article
- A Smartphone-Based Approach to Screening for Sudden Sensorineural Hearing Loss: Cross-Sectional Validity Study.JMIR mHealth and uHealth · 2020Article
- Screening for Hearing Impairment in Older Adults by Smartphone-Based Audiometry, Self-Perception, HHIE Screening Questionnaire, and Free-Field Voice Test: Comparative Evaluation of the Screening Accuracy With Standard Pure-Tone Audiometry.JMIR mHealth and uHealth · 2020Article
- Worldwide Prevalence of Hearing Loss Among Smartphone Users: Cross-Sectional Study Using a Mobile-Based App.Journal of medical Internet research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPure-tone screening (PTS) is considered as the gold standard for hearing screening programs in school-age children. Mobile devices, such as mobile phones, have the potential for audiometric testing.
objectiveThis study aimed to demonstrate a new approach to rapidly screen hearing status and provide stratified test values, using a smartphone-based hearing screening app, for each screened ear of school-age children.
methodThis was a prospective cohort study design. The proposed smartphone-based screening method and a standard sound-treated booth with PTS were used to assess 85 school-age children (170 ears). Sound-treated PTS involved applying 4 test tones to each tested ear: 500 Hz at 25 dB and 1000 Hz, 2000 Hz, and 4000 Hz at 20 dB. The results were classified as pass (normal hearing in the ear) or fail (possible hearing impairment). The proposed smartphone-based screening employs 20 stratified hearing scales. Thresholds were compared with those of pure-tone average (PTA).
resultsA total of 85 subjects (170 ears), including 38 males and 47 females, aged between 11 and 12 years with a mean (SD) of 11 (0.5) years, participated in the trial. Both screening methods produced comparable pass and fail results (pass in 168 ears and fail in 2 ears). The smartphone-based screening detected moderate or worse hearing loss (average PTA>25 dB) accurately. Both the sensitivity and specificity of the smartphone-based screening method were calculated at 100%.
conclusionsThe results of the proposed smartphone-based self-hearing test demonstrated high concordance with conventional PTS in a sound-treated booth. Our results suggested the potential use of the proposed smartphone-based hearing screening in a school-age population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.