Evidence map›Paper›PMID 36317789›Full record

ReviewThe Laryngoscope2023

Are Mobile Applications in Laryngology Designed for All Patients?

Eseosa Odigie, Katerina Andreadis, Iyra Chandra, Valentina Mocchetti, Hal Rives, Steven Cox, Anaïs Rameau

Abstract readReview
In one paragraph

Review in The Laryngoscope, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Eseosa OdigieSean Parker Institute for the Voice, Department of Otolaryngology, Weill Cornell Medical College, New York, USA.
Katerina AndreadisSean Parker Institute for the Voice, Department of Otolaryngology, Weill Cornell Medical College, New York, USA.ORCID https://orcid.org/0000-0001-8586-450X
Iyra ChandraSean Parker Institute for the Voice, Department of Otolaryngology, Weill Cornell Medical College, New York, USA.
Valentina MocchettiSean Parker Institute for the Voice, Department of Otolaryngology, Weill Cornell Medical College, New York, USA.
Hal RivesSean Parker Institute for the Voice, Department of Otolaryngology, Weill Cornell Medical College, New York, USA.
Steven CoxDepartment of Communication Sciences and Disorders, Adelphi University, Garden City, USA.
Anaïs RameauSean Parker Institute for the Voice, Department of Otolaryngology, Weill Cornell Medical College, New York, USA.ORCID https://orcid.org/0000-0003-1543-2634

Funding

Developing an App-Based Voice Clinical Decision Support Tool to Augment the Sensitivity of the Bedside Swallow Evaluation in Older AdultsK76AG079040 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Anais Rameau · 2022 to 2026
$972k
NIA NIH HHS K76 AG079040
6 · The paper itself

Abstract

objectivesMobile applications (apps) are multiplying in laryngology, with little standardization of content, functionality, or accessibility. The purpose of this study is to evaluate the quality, functionality, health literacy, readability, accessibility, and inclusivity of laryngology mobile applications.

methodsOf the 3230 apps identified from the Apple and Google Play stores, 28 patient-facing apps met inclusion criteria. Apps were evaluated using validated scales assessing quality and functionality: the Mobile App Rating Scale (MARS) and the Institute for Healthcare Informatics App Functionality Scale. The Clear Communication Index (CDC) Institute of Medicine Strategies for Creating Health Literate Mobile Applications, and Patient Education Materials Assessment Tool (PEMAT) were used to evaluate apps health literacy level. Readability was assessed using established readability formulas. Apps were evaluated for language, accessibility features, and representation of a diverse population.

resultsTwenty-six apps (92%) had adequate quality (MARS score > 3). The mean PEMAT score was 89% for actionability and 86% for understandability. On average, apps utilized 25/33 health literate strategies. Twenty-two apps (79%) did not pass the CDC index threshold of 90% for health literacy. Twenty-four app descriptions (86%) were above an 8

conclusionWhile most apps scored well in quality and functionality, many laryngology apps did not meet standards for health literacy. Most apps were written at a reading level above the national average, lacked accessibility features, and did not represent diverse populations. Laryngoscope, 133:1540-1549, 2023.

Indexed as

Health LiteracyMobile ApplicationsComprehensionHumansLanguageReproducibility of Resultsdigital healthdysphagiadysphonialaryngology

Identifiers

PMID36317789
PMCPMC10149562

What OpenQuestion holds

Textmetadata
LicenceTDM
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.