Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas

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.

[1]  Irena Jekova,et al.  Recognition of diagnostically useful ECG recordings: Alert for corrupted or interchanged leads , 2011, 2011 Computing in Cardiology.

[2]  Sasan Adibi,et al.  Link Technologies and BlackBerry Mobile Health (mHealth) Solutions: A Review , 2012, IEEE Transactions on Information Technology in Biomedicine.

[3]  Chiew Tong Lau,et al.  Remote health monitoring using mobile phones and Web services. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[4]  Mark Oppe,et al.  A program of methodological research to arrive at the new international EQ-5D-5L valuation protocol. , 2014, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[5]  K. Weinfurt,et al.  An Evaluation of Mobile Health Application Tools , 2014, JMIR mHealth and uHealth.

[6]  Miguel López-Coronado,et al.  Cost-utility and cost-effectiveness studies of telemedicine, electronic, and mobile health systems in the literature: a systematic review. , 2015, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[7]  C. Quinn,et al.  WellDoc mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction. , 2008, Diabetes technology & therapeutics.

[8]  Borja Martínez-Pérez A Mobile App for the Self-Management of Heart Diseases , 2014 .

[9]  M. Weinstein,et al.  QALYs: the basics. , 2009, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[10]  Marie Löf,et al.  Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire , 2013, Journal of medical Internet research.

[11]  G. Bonsel,et al.  Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L) , 2011, Quality of Life Research.

[12]  Luca Chittaro,et al.  Evaluation of a mobile mindfulness app distributed through on-line stores: A 4-week study , 2016, Int. J. Hum. Comput. Stud..

[13]  Isabel de la Torre Díez,et al.  Economic Impact Assessment from the Use of a Mobile App for the Self-management of Heart Diseases by Patients with Heart Failure in a Spanish Region , 2014, Journal of Medical Systems.

[14]  P. Schulz,et al.  Mapping mHealth Research: A Decade of Evolution , 2013, Journal of medical Internet research.

[15]  Borja Martínez-Pérez,et al.  Comparison of Mobile Apps for the Leading Causes of Death Among Different Income Zones: A Review of the Literature and App Stores , 2014, JMIR mHealth and uHealth.

[16]  Hee-Seok Oh,et al.  Introduction to Linear Regression Analysis, 5th edition by MONTGOMERY, DOUGLAS C., PECK, ELIZABETH A., and VINING, G. GEOFFREY , 2013 .

[17]  P. Ritvo,et al.  Smartphone-Enabled Health Coach Intervention for People With Diabetes From a Modest Socioeconomic Strata Community: Single-Arm Longitudinal Feasibility Study , 2014, Journal of medical Internet research.

[18]  Sanjay Arora,et al.  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 , 2014, Journal of medical Internet research.