Evidence map›Paper›PMID 30092095›Full record

ArticlePloS one2018

Mobile apps for treatment of speech disorders in children: An evidence-based analysis of quality and efficacy.

Lisa Furlong, Meg Morris, Tanya Serry, Shane Erickson

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. Raising the Child-Do Screen Media Help or Hinder? The Quality over Quantity Hypothesis.International journal of environmental research and public health · 2022
    Review
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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

4 authors.

Lisa FurlongDiscipline of Speech Pathology, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia.ORCID 0000-0003-2596-8395
Meg MorrisHealthscope Northpark Private Hospital, Bundoora, Australia.
Tanya SerryDiscipline of Speech Pathology, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia.
Shane EricksonDiscipline of Speech Pathology, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently there has been exponential growth in mobile health (mHealth) applications (apps) for children with speech disorders. A challenge for health professionals and families is knowing how to find high quality apps that are therapeutically beneficial. We systematically search and critique the quality of mobile apps for childhood speech disorders. An evidence-based method for identifying suitable apps in the Google Play and Apple iTunes stores is also proposed. METHODS AND

findingsA systematic search of the Google Play and Apple iTunes app stores was conducted from November 2016 to May 2017. Twelve pre-defined search terms were applied, identifying 5076 apps. Systematic screening resulted in 132 unique apps for full appraisal. These were appraised by two raters using the Mobile Application Rating scale. None were of excellent quality. Twenty-five were of good quality, 105 average and 2 were poor or very poor. DISCUSSION: It can be challenging for consumers to locate high quality speech therapy apps for children. Although we found more than 5000 apps, less than 3% met criteria for evaluation. Difficulties sourcing valid apps included: (i) Boolean operators were not available and therefore only one search term could be used each time (ii) the order of app listings in online stores continually changed (iii) apps were organised in online stores according to relevance and popularity (iv) there was no easy way to extract app titles and eliminate duplicates (v) app cost did not always correlate with therapeutic quality.

conclusionsThe rapid growth of mHealth heightens the need to develop rigorous and efficient systems to search and retrieve apps and evaluate their therapeutic benefits. Given the difficulty accessing speech therapy services worldwide, mHealth promises therapy benefits when apps are reliable, valid and easily found.

Indexed as

Mobile ApplicationsChildHumansQuality Assurance, Health CareReproducibility of ResultsSpeech DisordersSpeech TherapyTelemedicineTreatment Outcome

Identifiers

PMID30092095
PMCPMC6084897

What OpenQuestion holds

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LicenceCC BY
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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.