Evidence map›Paper›PMID 28582261›Full record

ReviewJMIR rehabilitation and assistive technologies2016

Validated Smartphone-Based Apps for Ear and Hearing Assessments: A Review.

Tess Bright, Danuk Pallawela

Open access · goldAbstract readReview
In one paragraph

Review in JMIR rehabilitation and assistive technologies, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% of its field
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

67 citing papers in PubMed, 1 synthesis or guideline pooled it, 159 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Evaluating the accuracy of a self-administered smartphone hearing test application in a geriatric population.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
  8. Article
  9. Article
  10. Article
  11. Reliability of an Android Based Free Application for Assessment of Hearing Loss in Adults.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  12. Digital otoscopy in remote consultations.Laryngoscope investigative otolaryngology · 2024
    Article
  13. Article
  14. Article
  15. Accuracy and Pitfalls in the Smartphone-Based Audiometry Examination.Iranian journal of otorhinolaryngology · 2024
    Article
  16. What's New in Ototoxicity Management?Perspectives of the ASHA special interest groups · 2024
    Article
  17. New Age Hearing Testing at your Fingertips: Shravana Mitra App.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Tess BrightLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0003-2079-7216
Danuk PallawelaLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0002-1652-4007
London School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn estimated 360 million people have a disabling hearing impairment globally, the vast majority of whom live in low- and middle-income countries (LMICs). Early identification through screening is important to negate the negative effects of untreated hearing impairment. Substantial barriers exist in screening for hearing impairment in LMICs, such as the requirement for skilled hearing health care professionals and prohibitively expensive specialist equipment to measure hearing. These challenges may be overcome through utilization of increasingly available smartphone app technologies for ear and hearing assessments that are easy to use by unskilled professionals.

objectiveOur objective was to identify and compare available apps for ear and hearing assessments and consider the incorporation of such apps into hearing screening programs.

methodsIn July 2015, the commercial app stores Google Play and Apple App Store were searched to identify apps for ear and hearing assessments. Thereafter, six databases (EMBASE, MEDLINE, Global Health, Web of Science, CINAHL, and mHealth Evidence) were searched to assess which of the apps identified in the commercial review had been validated against gold standard measures. A comparison was made between validated apps.

resultsApp store search queries returned 30 apps that could be used for ear and hearing assessments, the majority of which are for performing audiometry. The literature search identified 11 eligible validity studies that examined 6 different apps. uHear, an app for self-administered audiometry, was validated in the highest number of peer reviewed studies against gold standard pure tone audiometry (n=5). However, the accuracy of uHear varied across these studies.

conclusionsVery few of the available apps have been validated in peer-reviewed studies. Of the apps that have been validated, further independent research is required to fully understand their accuracy at detecting ear and hearing conditions.

Indexed as

appapplicationsaudiometryhearinghearing impairmenthearing lossmobileprevalencesmartphonesurveystesting

Identifiers

PMID28582261
PMCPMC5454564
OpenAlexW2564711494

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.