Evidence map›Paper›PMID 32312794›Full record

ArticleEvidence-based mental health2020

Longitudinal trends in the quality, effectiveness and attributes of highly rated smartphone health apps.

Mara Mercurio, Mark Larsen, Hannah Wisniewski, Philip Henson, Sarah Lagan, John Torous

Abstract read
In one paragraph

Article in Evidence-based mental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Article
  6. Carpe diem.Evidence-based mental health · 2022
    Article
  7. Article
  8. Analyzing security issues of android mobile health and medical applications.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  9. Review
  10. Article
  11. 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

6 authors.

Mara MercurioPsychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Mark LarsenBlack Dog Institute, Randwick, New South Wales, Australia.
Hannah WisniewskiPsychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Philip HensonPsychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Sarah LaganPsychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
John TorousPsychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA jtorous@bidmc.harvard.edu.ORCID http://orcid.org/0000-0002-5362-7937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile there are numerous mental health apps on the market today, less is known about their safety and quality. This study aims to offer a longitudinal perspective on the nature of high visibility apps for common mental health and physical health conditions.

methodsIn July 2019, we selected the 10 top search-returned apps in the Apple App Store and Android Google Play Store using six keyword terms: depression, anxiety, schizophrenia, addiction, high blood pressure and diabetes. Each app was downloaded by two authors and reviewed by a clinician, and the app was coded for features, functionality, claims, app store properties, and other properties.

resultsCompared with 1 year prior, there were few statistically significant changes in app privacy policies, evidence and features. However, there was a high rate of turnover with only 34 (57%) of the apps from the Apple's App Store and 28 (47%) from the Google Play Store remaining in the 2019 top 10 search compared with the 2018 search. DISCUSSION: Although there was a high turnover of top search-returned apps between 2018 and 2019, we found that there were few significant changes in features, privacy, medical claims and other properties. This suggests that, although the highly visible and available apps are changing, there were no significant improvements in app quality or safety.

Indexed as

ConfidentialityDiabetes MellitusHypertensionMental DisordersMobile ApplicationsTelemedicineHumansLongitudinal StudiesSmartphonedepression & mood disordersschizophrenia & psychotic disorders

Identifiers

PMID32312794
PMCPMC7418607

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.