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.author | Muro Culebras, Antonio Luis | |
| dc.contributor.author | Escriche-Escuder, Adrián | |
| dc.contributor.author | Martín-Martín, Jaime | |
| dc.contributor.author | Roldán-Jiménez, Cristina | |
| dc.contributor.author | De Torres García, Irene | |
| dc.contributor.author | Ruiz-Muñoz, María | |
| dc.contributor.author | González-Sánchez, Manuel | |
| dc.contributor.author | Mayoral Cleries, Fermín | |
| dc.contributor.author | Tang, Wen | |
| dc.contributor.author | Nikolova, Borjanka | |
| dc.contributor.author | Salvatore, Alfredo | |
| dc.contributor.author | Cuesta-Vargas, Antonio | |
| dc.date.accessioned | 2024-09-20T11:01:02Z | |
| dc.date.available | 2024-09-20T11:01:02Z | |
| dc.date.issued | 2021-12 | |
| dc.departamento | Salud Pública y Psiquiatría | |
| dc.description.abstract | This study aims to analyze the psychometric properties of the tools used to measure the quality of mobile health (mHealth) apps. The researchers searched databases for mHealth app quality measurement tools and validation studies associated with them. They analyzed the measurement tools according to the psychometric properties described in the COSMIN guide. The study found 10 articles that met the inclusion criteria, and 8 measurement tools were analyzed. Four of these tools validated at least 5 psychometric properties. While some tools only measured usability, others provided information on engagement, aesthetics, and functionality. Two measurement tools had both user and professional versions. 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 mainly focused on usability. Overall, this study highlights the need for more comprehensive tools that consider multiple aspects of mHealth app quality. | es_ES |
| dc.description.sponsorship | This study is part of a project that has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie actions (grant 823871 [Multi-dimensional Intervention Support Architecture for Gamified eHealth and mHealth Products]). | es_ES |
| dc.identifier.citation | Muro-Culebras A, Escriche-Escuder A, Martin-Martin J, Roldán-Jiménez C, De-Torres I, Ruiz-Muñoz M, Gonzalez-Sanchez M, Mayoral-Cleries F, Biró A, Tang W, Nikolova B, Salvatore A, Cuesta-Vargas AI 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 JMIR Mhealth Uhealth 2021;9(12):e15433 doi: 10.2196/15433 PMID: 34855618 PMCID: 8686474 | es_ES |
| dc.identifier.doi | 10.2196/15433 | |
| dc.identifier.uri | https://hdl.handle.net/10630/32745 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | JMIR Publicatins | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Aplicaciones informáticas | es_ES |
| dc.subject.other | Assessment | es_ES |
| dc.subject.other | EHealth | es_ES |
| dc.subject.other | MHealth | es_ES |
| dc.subject.other | Mobile apps | es_ES |
| dc.subject.other | Mobile health | es_ES |
| dc.subject.other | Mobile phone | es_ES |
| dc.subject.other | Questionnaire design | es_ES |
| dc.subject.other | Rating | es_ES |
| dc.subject.other | Smartphone | es_ES |
| dc.title | 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 | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication.latestForDiscovery | af904741-d538-4bf8-a882-d00782271171 |
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