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En los últimos años ha aumentado significativamente la descarga de aplicaciones móviles (apps) orientadas a desarrollar hábitos saludables en la población en general. No obstante, la mayoría no están sujetas a procesos de regulación de calidad, y los instrumentos de evaluación disponibles pueden estar obsoletos. Esta revisión se ha realizado para conocer el estado del arte sobre procesos de diseño, construcción, validación y principales resultados obtenidos en estudios empíricos acerca de los instrumentos de evaluación de la calidad de dichas apps, todo ello a fin de identificar las principales dimensiones e indicadores comunes. Se han llevado a cabo búsquedas en cuatro bases de datos de alto impacto. Se concluye que es un tema de interés reciente y actual en la literatura científica. De 11 documentos incluidos, se han hallado 97 indicadores organizados en 17 dimensiones. Sólo en dos de ellos se incluyeron aspectos relacionados con la privacidad y la seguridad. En definitiva, se ha configurado una lista significativa y actualizada que podrá ser la base para construir un marco de evaluación que permita hacer un estudio integral de estas apps, pues muchos de los instrumentos de evaluación no han sido diseñados pensando en la población en general.
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Aitken, M. & Nass, D. (2021). Digital Health Trends 2021: Innovation, evidence, regulation, and adoption. IQVIA Institute for Human Data Science. https://bit.ly/33sHF9k
Azad-Khaneghah, P., Neubauer, N., Cruz, A.M. & Liu, L. (2021). Mobile Health App Usability and Quality Rating Scales: a Systematic Review. Disability and Rehabilitation: Assistive Technology, 16(7), 712-721. https://doi.org/10.1080/17483107.2019.1701103
Bardus, M., Awada, N., Ghandour, L.A., Fares, E., Gherbal, T., Al-Zanati, T. & Stoyanov, S.R. (2020). The Arabic Version of the Mobile App Rating Scale: Development and Validation Study. JMIR MHealth Uhealth, 8(3), e16965. https://doi.org/10.2196/16956
Baumel, A., Mathur, N., Kane, J.M. & Muench, F. (2017). Enlight: A Comprehensive Quality and Therapeutic Potential Evaluation Tool for Mobile and Web-Based eHealth Interventions. Journal of Medical Internet Research, 19(3), e82. https://doi.org/10.2196/jmir.7270
BinDhim, N.F., Hawkey, A. & Trevena, L. (2015). A Systematic Review of Quality Assessment Methods for Smartphone Health App. Telemedicine and e-Health, 21(2), 97-104. https://doi.org/10.1089/tmj.2014.0088
Böhme, C., von Osthoff, M.B., Frey, K. & Hübner, J. (2019). Development of a Rating Tool for Mobile Cancer Apps: Information Analysis and Formal and Content-Related Evaluation of Selected Cancer App. Journal of Cancer Education, 34(1), 105-110. https://doi.org/10.1007/s13187-017-1273-9
Boudreaux, E.D., Waring, M.E., Hayes, R.B., Sadasivam, R.S., Mullen, S. & Pagoto, S. (2014). Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations. Translational Behavioral Medicine, 4(4), 363-371. https://doi.org/10.1007/s13142-014-0293-9
Collado-Borrell, R., Escudero-Vilaplana, V., Villanueva-Bueno, C., Herranz-Alonso, A. y Sanjurjo-Sáez, M. (2020). Features and Functionalities of Smartphone Apps Related to COVID-19: Systematic Search in App Stores and Content Analysis. Journal of Medical Internet Research, 22(8), e20334. https://doi.org/10.2196/20334
Coyne, E., Rands, H., Frommolt, V., Kain, V., Plugge, M. & Mitchell, M. (2018). Investigation of blended learning video resources to teach health students clinical skills: An integrative review. Nurse Education Today, 63, 101-107. https://doi.org/10.1016/j.nedt.2018.01.021
Domnich, A., Arata, L., Amicizia, D., Signori, A., Patrick, B., Stoyanov, S.R., Hides, L., Gasparini, R. & Panatto, D. (2016). Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to Apps targeting primary prevention. BMC Medical Informatics and Decision Making, 16(83). https://doi.org/10.1186/s12911-016-0323-2
Duarte-Hueros, A., Delgado-Morales, C. y Field-Cabezas, N. (2021). Estudio sistemático sobre distintivos y sellos de calidad de aplicaciones móviles para la formación en hábitos saludables. En J. Ruiz-Palmero, E. Sánchez-Rivas, E. Colomo-Magaña y J. Sánchez-Rodríguez (Coords.), Innovación e investigación con tecnología educativa (pp. 105-116). Octaedro.
Grant, M.J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information and Libraries Journal, 26, 91-108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
Hensher, M., Cooper, P., Dona, W.A., Angeles, M.R., Nguyen, D., Heynsbergh, N., Chatterton, M.L. & Peeters, A. (2021). Scoping review: Development and assessment of evaluation frameworks of mobile health Apps for recommendations to consumers. Journal of the American Medical Informatics Association, 28(6), 1318-1329, https://doi.org/10.1093/jamia/ocab041
Jake-Schoffman, D. E., Silfee, V. J., Waring, M. E., Boudreaux, E. D., Sadasivam, R. S., Mullen, S. P., ... & Pagoto, S.L. (2017). Methods for evaluating the content, usability, and efficacy of commercial mobile health apps. JMIR mHealth and uHealth, 5(12), e8758. https://doi.org/10.2196/mhealth.8758
Jeminiwa, R.N., Hohmann, N.S. & Fox, B.I. (2019). Developing a Theoretical Framework for Evaluating the Quality of mHealth Apps for Adolescent Users: A Systematic Review. The Journal of Pediatric Pharmacology and Therapeutics, 24(4), 254-269. https://doi.org/10.5863/1551-6776-24.4.254
Lee, C.Y. & Cherner, T.S. (2015). A comprehensive evaluation rubric for assessing instructional App. Journal of Information Technology Education: Research, 14, 21-53. https://doi.org/10.28945/2097
Llorens-Vernet, P. & Miró, J. (2020). The Mobile App Development and Assessment Guide (MAG): Delphi-Based Validity Study. JMIR MHealth Uhealth, 8(7), e17760. https://doi.org/10.2196/17760
Martín-Payo, R., Fernández-Álvarez, M.M., Blanco-Díaz, M., Cuesta-Izquierdo, M., Stoyanov, S.R. y Llaneza-Suárez, E. (2019). Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire. International Journal of Medical Informatics, 129, 95-99. https://doi.org/10.1016/j.ijmedinf.2019.06.005
Messner, E., Terhorst, Y., Barke, A., Baumeister, H., Stoyanov, S.R, Hides, L., Kavanagh, D.J., Pryss, R., Sander, L. & Probst, T. (2020). The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study. JMIR MHealth Uhealth, 8(3), e14479. https://doi.org/10.2196/14479
Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G. & The PRISMA Group. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Nouri, R., Niakan-Kalhori, S.R., Ghazisaeedi, M., Marchand, G. & Yasini, M. (2018). Criteria for assessing the quality of mHealth apps: a systematic review. Journal of the American Medical Informatics Associations, 25(8), 1089-1098. https://doi.org/10.1093/jamia/ocy050
Palacios-Gálvez MS, Yot-Domínguez C, Merino-Godoy A. (2020). Healthy Jeart: promoción de la salud en la adolescencia a través de dispositivos móviles. Rev Esp Salud Pública, 94: 5 de marzo e202003010. https://pubmed.ncbi.nlm.nih.gov/32134049/
Pluye, P., Robert, E., Cargo, M., Bartlett, G., O’Cathain, A., Griffiths, F., Boardman, F., Gagnon, M.P. & Rousseau, M.C. (2011). Proposal: A mixed methods appraisal tool for systematic mixed studies reviews. McGill University. https://bit.ly/3EVOC0f
Powell AC, Landman AB, Bates DW. (2014). In search of a few good apps. JAMA, 14;311(18):1851-2. https://doi.org/10.1001/jama.2014.2564. PMID: 24664278
Saliasi, I., Martinon, P., Darlington, E., Smentek, C., Tardivo, D., Bourgeois, D., Dussart, C., Carrouel, F. & Fraticelli, L. (2021). Promoting Health via mHealth Applications Using a French Version of the Mobile App Rating Scale: Adaptation and Validation Study. JMIR MHealth Uhealth, 9(8), e30480. https://doi.org/10.2196/30480
Schulz, K.F. & Grimes, D.A. (2002). Blinding in randomised trials: hiding who got what. The Lancet, 359(9307), 696-700. https://doi.org/10.1016/S0140-6736(02)07816-9
Stoyanov, S.R., Hides, L., Kavanagh, D.J. & Wilson, H. (2016). Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS). JMIR MHealth Uhealth, 4(2), e72. https://doi.org/10.2196/mHealth.5849
Stoyanov, S.R., Hides, L., Kavanagh, D.J., Zelenko, O., Tjondronegoro, D. & Mani, M. (2015). Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile App. JMIR MHealth Uhealth, 3(1), e27. https://doi.org/10.2196/mHealth.3422
Terhorst, Y., Philippi, P., Sander, L.B., Schultchen, D., Paganini, S., Bardus, M., Santo, K., Knitza, J., Machado, G.C., Schoeppe, S., Bauereiß, N., Portenhauser, A., Domhardt, M., Walter, B., Krusche, M., Baumeister, H. & Messner, E.M. (2020). Validation of the Mobile Application Rating Scale (MARS). PLoS ONE, 15(11), e0241480. https://doi.org/10.1371/journal.pone.0241480
Willis, S., Neil, R., Mellick, M.C. & Wasley, D. (2019). The Relationship Between Occupational Demands and Well-Being of Performing Artists: A Systematic Review. Frontiers in Psychology, 10(393). https://doi.org/10.3389/fpsyg.2019.00393
WHO (2011). mHealth: new horizons for health through mobile technologies: second global survey on eHealth. Global Observatory for eHealth. https://bit.ly/33t5cXH
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