Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review

dc.contributor.authorMuro-Culebras, Antonio
dc.contributor.authorEscriche-Escuder, Adrian
dc.contributor.authorMartin-Martin, Jaime
dc.contributor.authorRoldan-Jimenez, Cristina
dc.contributor.authorDe-Torres, Irene
dc.contributor.authorRuiz-Munoz, Maria
dc.contributor.authorGonzalez-Sanchez, Manuel
dc.contributor.authorMayoral-Cleries, Fermin
dc.contributor.authorBiro, Attila
dc.contributor.authorTang, Wen
dc.contributor.authorNikolova, Borjanka
dc.contributor.authorSalvatore, Alfredo
dc.contributor.authorCuesta-Vargas, Antonio Ignacio
dc.contributor.authoraffiliation[Muro-Culebras, Antonio] Univ Malaga, Grp Clinimetria F14, C Arquitecto Francisco Penalosa 3, Malaga 29071, Spain
dc.contributor.authoraffiliation[Escriche-Escuder, Adrian] Univ Malaga, Grp Clinimetria F14, C Arquitecto Francisco Penalosa 3, Malaga 29071, Spain
dc.contributor.authoraffiliation[Martin-Martin, Jaime] Univ Malaga, Grp Clinimetria F14, C Arquitecto Francisco Penalosa 3, Malaga 29071, Spain
dc.contributor.authoraffiliation[Roldan-Jimenez, Cristina] Univ Malaga, Grp Clinimetria F14, C Arquitecto Francisco Penalosa 3, Malaga 29071, Spain
dc.contributor.authoraffiliation[Ruiz-Munoz, Maria] Univ Malaga, Grp Clinimetria F14, C Arquitecto Francisco Penalosa 3, Malaga 29071, Spain
dc.contributor.authoraffiliation[Gonzalez-Sanchez, Manuel] Univ Malaga, Grp Clinimetria F14, C Arquitecto Francisco Penalosa 3, Malaga 29071, Spain
dc.contributor.authoraffiliation[Cuesta-Vargas, Antonio Ignacio] Univ Malaga, Grp Clinimetria F14, C Arquitecto Francisco Penalosa 3, Malaga 29071, Spain
dc.contributor.authoraffiliation[Muro-Culebras, Antonio] Inst Invest Biomed Malaga IBIMA, Malaga, Spain
dc.contributor.authoraffiliation[Escriche-Escuder, Adrian] Inst Invest Biomed Malaga IBIMA, Malaga, Spain
dc.contributor.authoraffiliation[Martin-Martin, Jaime] Inst Invest Biomed Malaga IBIMA, Malaga, Spain
dc.contributor.authoraffiliation[Roldan-Jimenez, Cristina] Inst Invest Biomed Malaga IBIMA, Malaga, Spain
dc.contributor.authoraffiliation[Ruiz-Munoz, Maria] Inst Invest Biomed Malaga IBIMA, Malaga, Spain
dc.contributor.authoraffiliation[Gonzalez-Sanchez, Manuel] Inst Invest Biomed Malaga IBIMA, Malaga, Spain
dc.contributor.authoraffiliation[Cuesta-Vargas, Antonio Ignacio] Inst Invest Biomed Malaga IBIMA, Malaga, Spain
dc.contributor.authoraffiliation[De-Torres, Irene] Reg Univ Hosp Malaga, Phys Med & Rehabil Unit, Malaga, Spain
dc.contributor.authoraffiliation[Mayoral-Cleries, Fermin] Reg Univ Hosp Malaga, Mental Hlth Unit, Malaga, Spain
dc.contributor.authoraffiliation[Biro, Attila] ITWare, Budapest, Hungary
dc.contributor.authoraffiliation[Tang, Wen] Bournemouth Univ, Fac Sci & Technol, Bournemouth, Dorset, England
dc.contributor.authoraffiliation[Nikolova, Borjanka] Arthaus, Skopje, North Macedonia
dc.contributor.authoraffiliation[Salvatore, Alfredo] SensorID Snc, Boiano, Italy
dc.contributor.authoraffiliation[Cuesta-Vargas, Antonio Ignacio] Queensland Univ Technol, Fac Hlth Sci, Sch Clin Sci, Brisbane, Qld, Australia
dc.contributor.funderEuropean Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie actions
dc.contributor.funderMarie Curie Actions (MSCA)
dc.date.accessioned2025-01-07T12:19:58Z
dc.date.available2025-01-07T12:19:58Z
dc.date.issued2021-12-01
dc.description.abstractBackground: There are several mobile health (mHealth) apps in mobile app stores. These apps enter the business-to-customer market with limited controls. Both, apps that users use autonomously and those designed to be recommended by practitioners require an end-user validation to minimize the risk of using apps that are ineffective or harmful. Prior studies have reviewed the most relevant aspects in a tool designed for assessing mHealth app quality, and different options have been developed for this purpose. However, the psychometric properties of the mHealth quality measurement tools, that is, the validity and reliability of the tools for their purpose, also need to be studied. The Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) initiative has developed tools for selecting the most suitable measurement instrument for health outcomes, and one of the main fields of study was their psychometric properties.Objective: This study aims to address and psychometrically analyze, following the COSMIN guideline, the quality of the tools that are used to measure the quality of mHealth apps.Methods: From February 1, 2019, to December 31, 2019, 2 reviewers searched PubMed and Embase databases, identifying mHealth app quality measurement tools and all the validation studies associated with each of them. For inclusion, the studies had to be meant to validate a tool designed to assess mHealth apps. Studies that used these tools for the assessment of mHealth apps but did not include any psychometric validation were excluded. The measurement tools were analyzed according to the 10 psychometric properties described in the COSMIN guideline. The dimensions and items analyzed in each tool were also analyzed.Results: The initial search showed 3372 articles. Only 10 finally met the inclusion criteria and were chosen for analysis in this review, analyzing 8 measurement tools. Of these tools, 4 validated >= 5 psychometric properties defined in the COSMIN guideline. Although some of the tools only measure the usability dimension, other tools provide information such as engagement, esthetics, or functionality. Furthermore, 2 measurement tools, Mobile App Rating Scale and mHealth Apps Usability Questionnaire, have a user version, as well as a professional version.Conclusions: The Health Information Technology Usability Evaluation Scale and the Measurement Scales for Perceived Usefulness and Perceived Ease of Use were the most validated tools, but they were very focused on usability. The Mobile App Rating Scale showed a moderate number of validated psychometric properties, measures a significant number of quality dimensions, and has been validated in a large number of mHealth apps, and its use is widespread. It is suggested that the continuation of the validation of this tool in other psychometric properties could provide an appropriate option for evaluating the quality of mHealth apps.
dc.identifier.doi10.2196/15433
dc.identifier.issn2291-5222
dc.identifier.pmid34855618
dc.identifier.unpaywallURLhttps://mhealth.jmir.org/2021/12/e15433/PDF
dc.identifier.urihttps://hdl.handle.net/10668/24475
dc.identifier.wosID726379500002
dc.issue.number12
dc.journal.titleJmir mhealth and uhealth
dc.journal.titleabbreviationJmir mhealth uhealth
dc.language.isoen
dc.organizationSAS - Hospital Universitario Regional de Málaga
dc.organizationInstituto de Investigación Biomédica de Málaga - Plataforma Bionand (IBIMA)
dc.publisherJmir publications, inc
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmobile health
dc.subjectmHealth
dc.subjecteHealth
dc.subjectmobile apps
dc.subjectassessment
dc.subjectrating
dc.subjectsmartphone
dc.subjectquestionnaire design
dc.subjectmobile phone
dc.subjectQuality
dc.subjectInformation
dc.subjectCosmin
dc.titleTools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review
dc.typereview
dc.type.hasVersionVoR
dc.volume.number9
dc.wostypeReview

Files