Evidence map›Paper›PMID 34515644›Full record

SynthesisJMIR mHealth and uHealth2021

Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis.

Chih-Hao Chen, Heng-Yu Haley Lin, Mao-Che Wang, Yuan-Chia Chu, Chun-Yu Chang, Chii-Yuan Huang, Yen-Fu Cheng

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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  5. Article
  6. Review
  7. Review
  8. Evaluating the diagnostic accuracy and reliability of mobile audiometry for screening hearing loss in adults in comparison to pure tone audiometry.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Article
  9. Article
  10. Article
  11. Hearing Care Within Diabetes Care: Strategies for Direct Inclusion.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Tele-Audiology: Current State and Future Directions.Frontiers in digital health · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chih-Hao ChenDepartment of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taiwan, Taipei City, Taiwan.ORCID 0000-0001-5062-0679
Heng-Yu Haley Lin *Department of Medical Education, Taipei Veterans General Hospital, Taipei City, Taiwan.ORCID 0000-0003-1668-944X
Mao-Che Wang *Department of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taiwan, Taipei City, Taiwan.ORCID 0000-0002-7168-5196
Yuan-Chia ChuInformation Management Office, Taipei Veterans General Hospital, Taipei City, Taiwan.ORCID 0000-0002-0997-5168
Chun-Yu ChangDepartment of Anesthesiology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.ORCID 0000-0002-6958-4425
Chii-Yuan HuangDepartment of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taiwan, Taipei City, Taiwan.ORCID 0000-0001-8847-0100
Yen-Fu ChengDepartment of Otolaryngology-Head and Neck Surgery, Taipei Veterans General Hospital, Taiwan, Taipei City, Taiwan.ORCID 0000-0003-1995-5854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHearing loss is one of the most common disabilities worldwide and affects both individual and public health. Pure tone audiometry (PTA) is the gold standard for hearing assessment, but it is often not available in many settings, given its high cost and demand for human resources. Smartphone-based audiometry may be equally effective and can improve access to adequate hearing evaluations.

objectiveThe aim of this systematic review is to synthesize the current evidence of the role of smartphone-based audiometry in hearing assessments and further explore the factors that influence its diagnostic accuracy.

methodsFive databases-PubMed, Embase, Cochrane Library, Web of Science, and Scopus-were queried to identify original studies that examined the diagnostic accuracy of hearing loss measurement using smartphone-based devices with conventional PTA as a reference test. A bivariate random-effects meta-analysis was performed to estimate the pooled sensitivity and specificity. The factors associated with diagnostic accuracy were identified using a bivariate meta-regression model. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool.

resultsIn all, 25 studies with a total of 4470 patients were included in the meta-analysis. The overall sensitivity, specificity, and area under the receiver operating characteristic curve for smartphone-based audiometry were 89% (95% CI 83%-93%), 93% (95% CI 87%-97%), and 0.96 (95% CI 0.93-0.97), respectively; the corresponding values for the smartphone-based speech recognition test were 91% (95% CI 86%-94%), 88% (95% CI 75%-94%), and 0.93 (95% CI 0.90-0.95), respectively. Meta-regression analysis revealed that patient age, equipment used, and the presence of soundproof booths were significantly related to diagnostic accuracy.

conclusionsWe have presented comprehensive evidence regarding the effectiveness of smartphone-based tests in diagnosing hearing loss. Smartphone-based audiometry may serve as an accurate and accessible approach to hearing evaluations, especially in settings where conventional PTA is unavailable.

Indexed as

Hearing LossSmartphoneAudiometry, Pure-ToneHumansSensitivity and SpecificitySpeechaudiometrydigital healthhearing losshearing testmeta-analysismhealthmobile healthmobile phonesmartphone diagnostic test accuracy

Identifiers

PMID34515644
PMCPMC8477297

What OpenQuestion holds

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Registered trials

None linked

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.