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dc.contributor.author | Garcia-Gomez, Juan M![]() |
es_ES |
dc.contributor.author | de la Torre Díez, Isabel![]() |
es_ES |
dc.contributor.author | Vicente Robledo, Javier![]() |
es_ES |
dc.contributor.author | Robles Viejo, Montserrat![]() |
es_ES |
dc.contributor.author | Lopez-Coronado, Miguel![]() |
es_ES |
dc.contributor.author | Rodrigues, Joel J.![]() |
es_ES |
dc.date.accessioned | 2020-10-04T03:31:37Z | |
dc.date.available | 2020-10-04T03:31:37Z | |
dc.date.issued | 2014-03 | es_ES |
dc.identifier.issn | 1460-4582 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/151036 | |
dc.description.abstract | [EN] Mobile health (m-health) apps can bring health prevention and promotion to the general population. The main purpose of this article is to analyze different m-health apps for a broad spectrum of consumers by means of three different experiences. This goal was defined following the strategic documents generated by the main prospective observatories of Information and Communications Technology for health. After a general exploration of the app markets, we analyze the entries of three specific themes focused in this article: type 2 diabetes, obesity, and breast-feeding. The user experiences reported in this study mostly cover the segments of (1) chronically monitored consumers through a Web mobile app for predicting type 2 diabetes (Diab_Alert app), (2) information seekers through a mobile app for maternity (Lactation app) and partially (3) the motivated healthy consumers through a mobile app for a dietetic monitoring and assessment (SapoFit app). These apps were developed by the authors of this work. | es_ES |
dc.description.sponsorship | This research has been partially supported by the Spanish Social Security Administration Body (IMSERSO) under the project 85/2010, by the Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal, and by National Funding from the FCT-Fundacao para a Ciencia e a Tecnologia through the Pest-OE/EEI/LA0008/2011 Project | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | SAGE Publications | es_ES |
dc.relation.ispartof | Health Informatics Journal | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Diabetes | es_ES |
dc.subject | Health promotion | es_ES |
dc.subject | Maternity | es_ES |
dc.subject | Mobile health applications | es_ES |
dc.subject | Obesity | es_ES |
dc.subject.classification | FISICA APLICADA | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.title | Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1177/1460458213479598 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Imserso//Imserso%2F85%2F2010/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/FCT//PEst-OE%2FEEI%2FLA0008%2F2011/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada | es_ES |
dc.description.bibliographicCitation | Garcia-Gomez, JM.; De La Torre Díez, I.; Vicente Robledo, J.; Robles Viejo, M.; Lopez-Coronado, M.; Rodrigues, JJ. (2014). Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach. Health Informatics Journal. 20(1):74-84. https://doi.org/10.1177/1460458213479598 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1177/1460458213479598 | es_ES |
dc.description.upvformatpinicio | 74 | es_ES |
dc.description.upvformatpfin | 84 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 20 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.pmid | 24550566 | es_ES |
dc.relation.pasarela | S\249139 | es_ES |
dc.contributor.funder | Instituto de Mayores y Servicios Sociales | es_ES |
dc.contributor.funder | Fundação para a Ciência e a Tecnologia, Portugal | es_ES |
dc.description.references | Norris, A. C., Stockdale, R. S., & Sharma, S. (2009). A strategic approach to m-health. Health Informatics Journal, 15(3), 244-253. doi:10.1177/1460458209337445 | es_ES |
dc.description.references | Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1), 66-77. doi:10.1016/j.ijmedinf.2006.06.006 | es_ES |
dc.description.references | Elgazzar, K., Aboelfotoh, M., Martin, P., & Hassanein, H. S. (2012). Ubiquitous Health Monitoring Using Mobile Web Services. Procedia Computer Science, 10, 332-339. doi:10.1016/j.procs.2012.06.044 | es_ES |
dc.description.references | Klasnja, P., & Pratt, W. (2012). Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics, 45(1), 184-198. doi:10.1016/j.jbi.2011.08.017 | es_ES |
dc.description.references | Liu, C., Zhu, Q., Holroyd, K. A., & Seng, E. K. (2011). Status and trends of mobile-health applications for iOS devices: A developer’s perspective. Journal of Systems and Software, 84(11), 2022-2033. doi:10.1016/j.jss.2011.06.049 | es_ES |
dc.description.references | Rodrigues, J. J. P. C., Lopes, I. M. C., Silva, B. M. C., & Torre, I. de L. (2012). A new mobile ubiquitous computing application to control obesity: SapoFit. Informatics for Health and Social Care, 38(1), 37-53. doi:10.3109/17538157.2012.674586 | es_ES |
dc.description.references | Amichai-Hamburger, Y., McKenna, K. Y. A., & Tal, S.-A. (2008). E-empowerment: Empowerment by the Internet. Computers in Human Behavior, 24(5), 1776-1789. doi:10.1016/j.chb.2008.02.002 | es_ES |
dc.description.references | Scambler, S., Newton, P., Sinclair, A. J., & Asimakopoulou, K. (2012). Barriers and opportunities of empowerment as applied in diabetes settings: A focus on health care professionals’ experiences. Diabetes Research and Clinical Practice, 97(1), e18-e22. doi:10.1016/j.diabres.2012.03.001 | es_ES |
dc.description.references | Alpay, L. L., Henkemans, O. B., Otten, W., Rövekamp, T. A. J. M., & Dumay, A. C. M. (2010). E-health Applications and Services for Patient Empowerment: Directions for Best Practices in The Netherlands. Telemedicine and e-Health, 16(7), 787-791. doi:10.1089/tmj.2009.0156 | es_ES |
dc.description.references | Ahtinen, A., Mattila, E., Vaatanen, A., Hynninen, L., Salminen, J., Koskinen, E., & Laine, K. (2009). User experiences of mobile wellness applications in health promotion: User study of Wellness Diary, Mobile Coach and SelfRelax. Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare. doi:10.4108/icst.pervasivehealth2009.6007 | es_ES |
dc.description.references | Whiting, D. R., Guariguata, L., Weil, C., & Shaw, J. (2011). IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Research and Clinical Practice, 94(3), 311-321. doi:10.1016/j.diabres.2011.10.029 | es_ES |
dc.description.references | Kahn, H. S. (2009). Two Risk-Scoring Systems for Predicting Incident Diabetes Mellitus in U.S. Adults Age 45 to 64 Years. Annals of Internal Medicine, 150(11), 741. doi:10.7326/0003-4819-150-11-200906020-00002 | es_ES |
dc.description.references | Barreda-Pérez, M., de la Torre, I., López-Coronado, M., Rodrigues, J. J. P. C., & García de la Iglesia, T. (2013). Development and Evaluation of a Web-Based Tool to Estimate Type 2 Diabetes Risk: Diab_Alert. Telemedicine and e-Health, 19(2), 81-87. doi:10.1089/tmj.2012.0110 | es_ES |
dc.description.references | Chiasson, J.-L., Josse, R. G., Gomis, R., Hanefeld, M., Karasik, A., & Laakso, M. (2002). Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial. The Lancet, 359(9323), 2072-2077. doi:10.1016/s0140-6736(02)08905-5 | es_ES |
dc.description.references | Heikes, K. E., Eddy, D. M., Arondekar, B., & Schlessinger, L. (2007). Diabetes Risk Calculator: A simple tool for detecting undiagnosed diabetes and pre-diabetes. Diabetes Care, 31(5), 1040-1045. doi:10.2337/dc07-1150 | es_ES |
dc.description.references | Wald, N. J., Bestwick, J. P., & Morris, J. K. (2012). Body weight reduction to avoid the excess risk of type 2 diabetes. British Journal of General Practice, 62(599), e411-e414. doi:10.3399/bjgp12x649098 | es_ES |