Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas
- 304 Downloads
Analyze the utility of a mobile health app named HeartKeeper in several groups of population and obtain conclusions to be applied to other similar apps. A questionnaire has been designed to evaluate the usage and utility of the HeartKeeper app. The questionnaire information was collected by collaborating cardiologists from 32 patients before and after they used the app. Patients were randomly selected with established quotas within interest groups, so that men and women, patients older or younger than 60 years old and patients living in urban or rural areas were equally represented. Using the appropriate statistical techniques we see that the HeartKeeper app was useful for patients as they qualify with 70 points (out of 100) the overall opinion of the app, it helps them remember more easily taking their pills with a mean improvement of 20.94 points (p < 0.001) and they perceive a global improvement of their health (8.28 points, p < 0.001). We also observe that these improvements do not depend, in general, on the area (urban or rural) where the patient comes from or on their sex. Although older patients needed more help to use the app and used it slightly less frequently, the improvements on several measures considered, such as remembering taking pills, breathing problems or trouble developing activities, depend significantly (p < 0.05) on age with older patients reporting higher improvements than younger ones. The results obtained with the sample of patients considered in this research prove the utility of the HeartKeeper app. This utility is similar in urban and rural areas and for patients of both sexes and, to some extent, depends on the age of the patient with older patients reporting slightly lower frequency of use but higher health improvements than younger ones.
KeywordsCardiac diseases m-Health Rural Urban Utility
This research has been partially supported by the European Commission and the Ministry of Industry, Energy and Tourism under the project AAL-20125036 named “WetakeCare: ICT- based Solution for (Self-) Management of Daily Living”.
Thanks to the Service of Cardiology of the Clinic University Hospital of Valladolid, Spain for the collaboration in this work. The authors also thank the anonymous reviewers for several useful comments which improved this manuscript.
Compliance with ethical standards
Conflict of interest
No author has a conflict of interest with the contents of this manuscript.
- 5.De la Torre-Díez, I., López-Coronado, M., Vaca, C., Sáez, J., and De Castro, C., Cost-utility and cost-effectiveness studies of telemedicine, electronic and mobile health Systems in the Literature: a systematic review. Telemed. J. E. Health. 21(2):81–85, 2015.CrossRefPubMedPubMedCentralGoogle Scholar
- 8.Jekova, I., Krasteva, V., Dotsinsky, I., Christov, I., and Abacherli, R., Recognition of diagnostically useful ECG recordings: alert for corrupted or interchanged leads. Comput. Cardiol. 2011:429–432, 2011.Google Scholar
- 9.Pfaeffli L, Maddison R, Jiang Y, Dalleck L, Löf, M (2013) Measuring physical activity in a cardiac rehabilitation population using a smartphone-based questionnaire. J. Med. Internet Res. 15(3):e61.Google Scholar
- 11.Martínez-Pérez B., De la Torre-Díez I., De Castro C., Del Pozo F., Herreros González J., López-Coronado, M., A Mobile App for the Self-Management of Heart Diseases. Congress Medicine 2.0: Social Media, Mobile Apps, and Internet/Web 2.0 in Health, Medicine and Biomedical Research , Málaga, Spain, 9–10 October 2014.Google Scholar
- 12.Quinn, C.C., Clough, S.S., Minor, J.M., Lender, D., Okafor, M.C., and Gruber-Baldini, A., WellDoc™ mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction. Diabetes Technol. Ther. 10(3):160–168, 2008.CrossRefPubMedGoogle Scholar
- 13.Burner, E.R., Menchine, M.D., Kubicek, K., Robles, M., and Arora, S., Perceptions of successful cues to action and opportunities to augment behavioral triggers in diabetes self-management: qualitative analysis of a mobile intervention for low-income Latinos with diabetes. J. Med. Internet Res. 16(1):e25, 2014.CrossRefPubMedPubMedCentralGoogle Scholar
- 15.Phillips C., Thompson G., What is a QALY? Hayward Group Ltd, 2009.Google Scholar
- 16.Weinstein MC, Torrance G, McGuire, A (2009) QALYs: the basics. Value Health 12 Suppl 1:S5–S9.Google Scholar
- 19.Montgomery DC. Design and analysis of experiments, 8th Edition. Wiley, 2013.Google Scholar
- 20.Montgomery DC, Peck EA, Vining GG. Introduction to linear regression analysis, 5th Edition. Wiley, 2012.Google Scholar