- -

Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach

Mostrar el registro completo del ítem

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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151036

Ficheros en el ítem

Metadatos del ítem

Título: Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach
Autor: Garcia-Gomez, Juan M de la Torre Díez, Isabel Vicente Robledo, Javier Robles Viejo, Montserrat Lopez-Coronado, Miguel Rodrigues, Joel J.
Entidad UPV: Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Diabetes , Health promotion , Maternity , Mobile health applications , Obesity
Derechos de uso: Cerrado
Fuente:
Health Informatics Journal. (issn: 1460-4582 )
DOI: 10.1177/1460458213479598
Editorial:
SAGE Publications
Versión del editor: https://doi.org/10.1177/1460458213479598
Código del Proyecto:
info:eu-repo/grantAgreement/Imserso//Imserso%2F85%2F2010/
info:eu-repo/grantAgreement/FCT//PEst-OE%2FEEI%2FLA0008%2F2011/
Agradecimientos:
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 ...[+]
Tipo: Artículo

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

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

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 [+]
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem