Publication:
Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale.

dc.contributor.authorSalazar, Alejandro
dc.contributor.authorde Sola, Helena
dc.contributor.authorFailde, Inmaculada
dc.contributor.authorMoral-Munoz, Jose Antonio
dc.contributor.funderUniversity of Cádiz
dc.date.accessioned2023-01-25T10:23:47Z
dc.date.available2023-01-25T10:23:47Z
dc.date.issued2018-07-22
dc.description.abstractChronic pain is a major health issue requiring an approach that not only considers medication, but also many other factors included in the biopsychosocial model of pain. New technologies, such as mobile apps, are tools to address these factors, although in many cases they lack proven quality or are not based on scientific evidence, so it is necessary to review and measure their quality. The aim is to evaluate and measure the quality of mobile apps for the management of pain using the Mobile App Rating Scale (MARS). This study included 18 pain-related mobile apps from the App Store and Play Store. The MARS was administered to measure their quality. We list the scores (of each section and the final score) of every app and we report the mean score (and standard deviation) for an overall vision of the quality of the pain-related apps. We compare the section scores between the groups defined according to the tertiles via analysis of variance (ANOVA) or Kruskal-Wallis test, depending on the normality of the distribution (Shapiro-Wilk test). The global quality ranged from 1.74 (worst app) to 4.35 (best app). Overall, the 18 apps obtained a mean score of 3.17 (SD 0.75). The best-rated sections were functionality (mean 3.92, SD 0.72), esthetics (mean 3.29, SD 1.05), and engagement (mean 2.87, SD 1.14), whereas the worst rated were app specific (mean 2.48, SD 1.00), information (mean 2.52, SD 0.82), and app subjective quality (mean 2.68, SD 1.22). The main differences between tertiles were found on app subjective quality, engagement, esthetics, and app specific. Current pain-related apps are of a certain quality mainly regarding their technical aspects, although they fail to offer information and have an impact on the user. Most apps are not based on scientific evidence, have not been rigorously tested, and the confidentiality of the information collected is not guaranteed. Future apps would need to improve these aspects and exploit the capabilities of current devices.
dc.description.versionSi
dc.identifier.citationSalazar A, de Sola H, Failde I, Moral-Munoz JA. Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale. JMIR Mhealth Uhealth. 2018 Oct 25;6(10):e10718
dc.identifier.doi10.2196/10718
dc.identifier.issn2291-5222
dc.identifier.pmcPMC6231783
dc.identifier.pmid30361196
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231783/pdf
dc.identifier.unpaywallURLhttps://doi.org/10.2196/10718
dc.identifier.urihttp://hdl.handle.net/10668/13129
dc.issue.number10
dc.journal.titleJMIR mHealth and uHealth
dc.journal.titleabbreviationJMIR Mhealth Uhealth
dc.language.isoen
dc.organizationInstituto de Investigación e Innovación en Ciencias Biomédicas
dc.page.number11
dc.provenanceRealizada la curación de contenido 23/08/2024
dc.publisherJMIR Publications
dc.pubmedtypeJournal Article
dc.relation.projectIDPR2017-038
dc.relation.publisherversionhttps://mhealth.jmir.org/2018/10/e10718/
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMobile app rating scale
dc.subjectChronic pain
dc.subjectmHealth
dc.subjectMobile app
dc.subjectMobile phones
dc.subject.decsAnálisis de varianza
dc.subject.decsConfidencialidad
dc.subject.decsEscalofríos
dc.subject.decsModelos biopsicosociales
dc.subject.decsRigidez muscular
dc.subject.meshModels, biopsychosocial
dc.subject.meshChills
dc.subject.meshMuscle rigidity
dc.subject.meshConfidentiality
dc.subject.meshAnalysis of variance
dc.titleMeasuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number6
dspace.entity.typePublication

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