Evidence map›Paper›PMID 33317134›Full record

ArticleInternational journal of environmental research and public health2020

Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS).

Adrian Escriche-Escuder, Irene De-Torres, Cristina Roldán-Jiménez, Jaime Martín-Martín, Antonio Muro-Culebras, Manuel González-Sánchez, Maria Ruiz-Muñoz, Fermín Mayoral-Cleries, Attila Biró, Wen Tang and 3 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Evaluation of temporomandibular disorder self-management apps in Australia: a systematic review to inform clinical use.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
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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

13 authors.

Adrian Escriche-EscuderDepartment of Physiotherapy, University of Malaga, 29071 Málaga, Spain.ORCID 0000-0003-4402-6483
Irene De-TorresInstituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain.
Cristina Roldán-JiménezDepartment of Physiotherapy, University of Malaga, 29071 Málaga, Spain.ORCID 0000-0002-7355-9740
Jaime Martín-MartínInstituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain.ORCID 0000-0001-6143-6703
Antonio Muro-CulebrasDepartment of Physiotherapy, University of Malaga, 29071 Málaga, Spain.
Manuel González-SánchezDepartment of Physiotherapy, University of Malaga, 29071 Málaga, Spain.ORCID 0000-0003-3993-5092
Maria Ruiz-MuñozInstituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain.ORCID 0000-0003-0454-2758
Fermín Mayoral-CleriesInstituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain.ORCID 0000-0002-9710-9672
Attila BiróITWare, 1117 Budapest, Hungary.ORCID 0000-0002-0430-9932
Wen TangFaculty of Science and Technology, Bournemouth University, Bournemouth BH12 5BB, UK.
Borjanka NikolovaArthaus, Production Trade and Service Company, 1000 Skopje, Macedonia.
Alfredo SalvatoreSensor ID Snc, 86021 Boiano, Italy.
Antonio I Cuesta-VargasDepartment of Physiotherapy, University of Malaga, 29071 Málaga, Spain.ORCID 0000-0002-8880-4315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health interventions may improve different behaviours. However, the rapid proliferation of technological solutions often does not allow for a correct assessment of the quality of the tools. This study aims to review and assess the quality of the available mobile applications (apps) related to interventions for low back pain. Two reviewers search the official stores of Android (Play Store) and iOS (App Store) for localisation in Spain and the United Kingdom, in September 2019, searching for apps related to interventions for low back pain. Seventeen apps finally are included. The quality of the apps is measured using the Mobile App Rating Scale (MARS). The scores of each section and the final score of the apps are retrieved and the mean and standard deviation obtained. The average quality ranges between 2.83 and 4.57 (mean 3.82) on a scale from 1 (inadequate) to 5 (excellent). The best scores are found in functionality (4.7), followed by aesthetic content (mean 4.1). Information (2.93) and engagement (3.58) are the worst rated items. Apps generally have good overall quality, especially in terms of functionality and aesthetics. Engagement and information should be improved in most of the apps. Moreover, scientific evidence is necessary to support the use of applied health tools.

Indexed as

Low Back PainMobile ApplicationsHumansSpainUnited Kingdomapplication (app)exerciselow back painmHealthMobile App Rating Scale (MARS)

Identifiers

PMID33317134
PMCPMC7763508

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Registered trials

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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.