Evidence map›Paper›PMID 35206373›Full record

ReviewInternational journal of environmental research and public health2022

Mobile Applications in Mood Disorders and Mental Health: Systematic Search in Apple App Store and Google Play Store and Review of the Literature.

Sophie Eis, Oriol Solà-Morales, Andrea Duarte-Díaz, Josep Vidal-Alaball, Lilisbeth Perestelo-Pérez, Noemí Robles, Carme Carrion

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Is It Time to Rethink Psychiatry Residency Training? Meeting the Needs of a Multicultural Population.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2024
    Article
  10. Article
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  17. Review
  18. Asynchronous Technologies in Mental Health Care and Education.Current treatment options in psychiatry · 2023
    Review
  19. Article
  20. 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.

Sophie EisFundació HiTT (Health Innovation Technology Transfer), 08015 Barcelona, Spain.ORCID 0000-0002-4032-2974
Oriol Solà-MoralesFundació HiTT (Health Innovation Technology Transfer), 08015 Barcelona, Spain.
Andrea Duarte-DíazCanary Islands Health Research Institute Foundation (FIISC), 38109 Tenerife, Spain.ORCID 0000-0003-1171-9945
Josep Vidal-AlaballHealth Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08272 Barcelona, Spain.ORCID 0000-0002-3527-4242
Lilisbeth Perestelo-PérezEvaluation Unit of the Canary Islands Health Service (SESCS), REDISSEC, 38109 Tenerife, Spain.ORCID 0000-0002-6113-7313
Noemí RobleseHealth Lab Research Group, School of Health Sciences and eHealth Centre, Universitat Oberta de Catalunya (UOC), 08035 Barcelona, Spain.ORCID 0000-0003-0740-9098
Carme CarrioneHealth Lab Research Group, School of Health Sciences and eHealth Centre, Universitat Oberta de Catalunya (UOC), 08035 Barcelona, Spain.ORCID 0000-0003-1479-7551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe main objective of this work was to explore and characterize the current landscape of mobile applications available to treat mood disorders such as depression, bipolar disorder, and dysthymia.

methodsWe developed a tool that makes both the Apple App Store and the Google Play Store searchable using keywords and that facilitates the extraction of basic app information of the search results. All app results were filtered using various inclusion and exclusion criteria. We characterized all resultant applications according to their technical details. Furthermore, we searched for scientific publications on each app's website and PubMed, to understand whether any of the apps were supported by any type of scientific evidence on their acceptability, validation, use, effectiveness, etc. Results: Thirty apps were identified that fit the inclusion and exclusion criteria. The literature search yielded 27 publications related to the apps. However, these did not exclusively concern mood disorders. 6 were randomized studies and the rest included a protocol, pilot-, feasibility, case-, or qualitative studies, among others. The majority of studies were conducted on relatively small scales and 9 of the 27 studies did not explicitly study the effects of mobile application use on mental wellbeing.

conclusionWhile there exists a wealth of mobile applications aimed at the treatment of mental health disorders, including mood disorders, this study showed that only a handful of these are backed by robust scientific evidence. This result uncovers a need for further clinically oriented and systematic validation and testing of such apps.

Indexed as

Mobile ApplicationsDelivery of Health CareHumansMental HealthMood DisordersSearch EngineApple App StorebipolardepressiondysthymiaGoogle Play Storemental health appsmobile applicationsmood disorders

Identifiers

PMID35206373
PMCPMC8871536

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.