Evidence map›Paper›PMID 29743152›Full record

ArticleJMIR mHealth and uHealth2018

Managing and Controlling Stress Using mHealth: Systematic Search in App Stores.

David Blázquez Martín, Isabel De La Torre, Begonya Garcia-Zapirain, Miguel Lopez-Coronado, Joel Rodrigues

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

David Blázquez Martín *Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Valladolid, Spain.ORCID http://orcid.org/0000-0002-1562-1315
Isabel De La Torre *Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Valladolid, Spain.ORCID http://orcid.org/0000-0003-3134-7720
Begonya Garcia-Zapirain *Faculty of Engineering, University of Deusto, Bilbao, Spain.ORCID http://orcid.org/0000-0002-9356-1186
Miguel Lopez-Coronado *Department of Signal Theory and Communications, and Telematics Engineering, University of Valladolid, Valladolid, Spain.ORCID http://orcid.org/0000-0002-1543-9732
Joel Rodrigues *Instituto de Telecomunicações, Portugal, Portugal.ORCID http://orcid.org/0000-0001-8657-3800
Universidad de Valladolid · ESInstituto de Telecomunicações · PTUniversidad de Deusto · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional stress management techniques have been proven insufficient to tackle the needs of today's population. Computational-based techniques and now mobile health (mHealth) apps are showing promise to enable ease of use and access while educating end users on self-management.

objectiveThe main aim of this paper was to put forward a systematic review of mHealth apps for stress management.

methodsThe scenario chosen for this study consists of a sample of the most relevant mHealth apps found on the British and Spanish online stores of the two main mobile operating systems: iOS and Android. The apps have been categorized and scored base on their impact, presence, number of results, language, and operating system.

resultsA total of 433 different mobile apps for stress management was analyzed. Of these apps, 21.7% (94/433) belonged to the "relaxing music" category, 10.9% (47/433) were in the "draw and paint" category, 1.2% (5/433) belonged to the "heart rate control" category, and 1.2% (5/433) fell under "integral methodology." Only 2.0% (8/433) of the apps qualified as high or medium interest while 98.0% were low interest. Furthermore, 2.0% (8/433) of the apps were available on both iOS and Android, and 98% of apps ran on only one platform (iOS or Android).

conclusionsThere are many low-value apps available at the moment, but the analysis shows that they are adding new functionalities and becoming fully integrated self-management systems with extra capabilities such as professional assistance services and online support communities.

Indexed as

appscontrolmanagementmHealthstress

Identifiers

PMID29743152
PMCPMC5966650
OpenAlexW2802952037

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.