Abstract
Currently, cardiovascular diseases are the deadliest diseases with a total of 17 million deaths worldwide. Hence, they are the focus of many mobile applications for smartphones and tablets. This paper will assess the ex-ante economic impact as well as will determine the cost-effectiveness analysis that the use of one of this app, CardioManager, by patients with heart failure will have in a Spanish community, Castile and Leon. For this, a cost-effectiveness analysis using the hidden Markov model were performed in a hypothetical cohort of patients diagnosed with heart failure, based on the information of epidemiological parameters and the costs derived from the management and care of heart failure patients by the Public Health Care System of Castile and Leon. The costs of patient care were estimated from the perspective of the Ministry of Health of Spain using a discount rate of 3 %. Finally, an estimation of the ex-ante impact that would suppose the introduction of CardioManager in the Health Care System is performed. It is concluded that the introduction of CardioManager may generate a 33 % reduction in the cost of management and treatment of the disease. This means that CardioManager may be able to save more than 9,000 € per patient to the local Health Care System of Castile and Leon, which can be translated in a saving of 0.31 % of the total health expenditure of the region.
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Abbreviations
- CVDs:
-
Cardiovascular Diseases
- GDP:
-
Gross Domestic Productl
- HF:
-
Heart Failure
- ICER:
-
Incremental Cost-Effectiveness Ratio
- IMF:
-
International Monetary Fund
- M-health:
-
Mobile Health
- QUALY:
-
Quality-Adjusted Life Year
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Acknowledgments
This research has been partially supported by Ministerio de Economía y Competitividad, Spain.
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The authors declare that they have no conflict of interest.
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Cano Martín, J.A., Martínez-Pérez, B., de la Torre-Díez, I. 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. J Med Syst 38, 96 (2014). https://doi.org/10.1007/s10916-014-0096-z
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DOI: https://doi.org/10.1007/s10916-014-0096-z