Evidence map›Paper›PMID 30809045›Full record

SynthesisEuropean journal of human genetics : EJHG2019

Characteristics and quality of genetics and genomics mobile apps: a systematic review.

Divya Talwar, Yu-Lyu Yeh, Wei-Ju Chen, Lei-Shih Chen

Abstract readSystematic Review
In one paragraph

Synthesis in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  10. Oral-Hygiene-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality.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.

Divya TalwarDepartment of Health and Kinesiology, Texas A&M University, College Station, TX, USA.ORCID http://orcid.org/0000-0001-7995-8139
Yu-Lyu YehDepartment of Health and Kinesiology, Texas A&M University, College Station, TX, USA.
Wei-Ju ChenDepartment of Health and Kinesiology, Texas A&M University, College Station, TX, USA.
Lei-Shih ChenDepartment of Health and Kinesiology, Texas A&M University, College Station, TX, USA. lacechen@tamu.edu.ORCID http://orcid.org/0000-0001-5320-6350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile applications (apps) have been increasingly utilized to access the latest and abundant information related to genetics/genomics for resources, risk assessments, and individualized recommendations. Nevertheless, the number and quality of the current apps in genetics/genomics remain unknown. Thus, in this review, we aimed to identify existing genetic/genomic apps, summarize their characteristics, and examine their quality. A systematic search of genetics/genomics apps was conducted on Apple Store and Google Play. We adapted a validated evaluation scale, Mobile App Rating Scale (MARS), to examine the quality of genetics/genomics apps. Eighty-eight genetics/genomics apps, with the cost ranging from free to $49.99, formed the final sample. Findings showed that the majority of the apps had reference/resource as a feature (95.5%), had health professional students as the target audience (86.4%), and did not focus on specific diseases (78.5%). Only 21.6% of the apps were developed by reliable or authoritative agencies, and the apps' overall quality was slightly above average based on the criteria of the MARS. Therefore, while genetics/genomics mobile apps might be useful resources, their quality still needs improvement, especially with respect to the credibility and evidence-based items of app information as well as the customization items of app engagement; caution must be taken when using those apps.

Indexed as

GenomicsMobile Applications

Identifiers

PMID30809045
PMCPMC6777522

What OpenQuestion holds

Textmetadata
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.