ABSTRACT
Congestive Heart Failure (CHF), by its very nature, may lead to frequent hospital visits due to the complexity of managing the risk factors associated with it. Prescribed treatments for discharged patients are usually a combination of medicine, life style changing guidelines, and physical therapy. Treatment compliance is usually challenging and frustrating for both patients and providers. HeartMapp provides a multi-dimensional approach to address these issues combining patient engagement techniques, remote physiological monitoring, automation of traditional clinical protocols, and clinical decision support, all in one patient centered, self-care mobile application.
- Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. The New England Journal of Medicine, 2009; 360(14), 1418--1428. doi:10.1056/NEJMsa0803563; 10.1056/NEJMsa0803563.Google Scholar
- Go AS, Mozaffarian D, Roger VL, et al. American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Executive summary: Heart disease and stroke statistics -2013 update: A report from the American Heart Association. Circulation. 2013;127(1): 143--152Google Scholar
- Dharmarajan K, Hsieh AF, Lin Z, et al. Diagnoses and timing of 30-day readmissions after hospitalization for heart failure, acute myocardial infarction, or pneumonia. JAMA. 2013; 309(4): 355--63. doi:10.1001/jama.2012.216476Google Scholar
- Easpen, Z. J., Reed, S. D., Curtis, L. H., Hernandez, A. F., Peterson, E. D. Do heart failure disease management programs make financial sense under a bundled payment system? American Heart Journal, 2011, 161, 916--22. doi: 10.1016/j.ahj.2011.02.016.Google ScholarCross Ref
- Rau, J. Armed With Bigger Fines, Medicare To Punish 2,225 Hospitals For Excess Readmissions, 2013. {Online}. Available: http://www.kaiserhealthnews.org/Stories/2013/August/02/readmission-penalties-medicare-hospitals-year-two.aspxGoogle Scholar
- Bradley EH, Curry L, Horwitz LI, et al. Hospital strategies associated with 30-day readmission rates for patients with heart failure. Circulation. Cardiovascular Quality and Outcomes. 2013;6(4), 444--450. doi:10.1161/CIRCOUTCOMES.111.000101Google Scholar
- Yancy CW, Jessup M, Bozkurt B, et al. ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. 2013 Circulation, doi: 10.1161/CIR.0b013e31829e8776.Google Scholar
- Sauvé MJ, Lewis WR, Blankenbiller M, Rickabaugh B, Pressler SJ. Cognitive impairments in chronic heart failure: a case controlled study. J Card Fail. 2009; 15(1):1--10.Google Scholar
- Darling C, Saczynski JS, McManus DD, Lessard D, Spencer FA, Goldberg RJ. Delayed hospital presentation in acute decompensated heart failure: Clinical and patient reported factors. Heart Lung. 2013;42(4):281--86.Google Scholar
- Fitzgerald AA, Powers JD. Ho PM, et al. Impact of medication nonadherence on hospitalizations and mortality in heart failure. J Card Fail. 2011:17(8): 664--669.Google Scholar
- Buck HG, Lee CS, Moser DK. et al. Relationship between self-care and health-related quality of life in older adults with moderate to advanced heart failure. J Cardiovasc Nurs. 2012;27(1):8--15.Google Scholar
- Ditewig JB, Blok H, Havers J, van Veenendaal H. Effectiveness of self-management interventions on mortality, hospital readmissions, chronic heart failure hospitalization rate and quality of life in patients with chronic heart failure: a systematic review. Patient Educ Couns. 2010; 78(3):297--315.Google Scholar
- Moser DK, Dickson V, Jaarsma T, Lee C, Stromberg A, Riegel B. Role of self-care in the patient with heart failure. Curr Cardiol Rep. 2012;14(3):265--75.Google Scholar
- Inglis SC, Clark RA, McAlister FA, et al. Which components of heart failure programmes are effective? A systematic review and metaanalysis of the outcomes of structured telephone support or telemonitoring as the primary component of chronic heart failure management in 8323 patients: Abridged Cochrane Review. European Journal of Heart Failure. 2011; 13(9), 1028--1040. doi: 10.1093/eurjhf/hfr039Google Scholar
- Davis KK, Mintzer M, Dennison Himmelfarb CR. et al. Targeted intervention improves knowledge but not self-care or readmissions in heart failure patients with mild cognitive impairment. European Journal of Heart Failure. 2014; 14(9), 1041--1049. doi: doi: 10.1093/eurjhf/hfs096Google Scholar
- Lainscak M, Blue L, Clark AL, et al. Self-care management of heart failure: practical recommendations from the Patient Care Committee of the Heart Failure Association of the European Society of Cardiology. European Journal of Heart Failure. 2011; 13(2), 115--126. doi: 10.1093/eurjhf/hfq219Google Scholar
- Heidenreich PA. Time for a Thorough Evaluation of Patient-Centered Care. Circulation: Cardiovasc Qual Outcomes. 2013; 6: 2--4Google Scholar
- Pew Internet (2014). Mobile. Retrieved from http://pewinternet.org/Commentary/2014/February/Pew-Internet-Mobile.aspxGoogle Scholar
- Bresnick, J. (2013, July 26). mHealth market to grow by 61%, will hit $26 billion by 2017 {Online Article}. Retrieved from http://ehrintelligence.com/2013/07/26/mhealth-market-to-grow-by-61-will-hit-26-billion-by-2017/) 10.1161/CIRCOUTCOMES.111.000101Google Scholar
- Kokonozi A, Astaras A, Semertzidis P, et al. Development and clinical evaluation of a physiological data acquisition device for monitoring and exercise guidance of heart failure and chronic heart disease patients. 2014. Available at http://zephyranywhere.com/media/ResearchPapers/ZRP-008-ResearchPaper-HC_CHD_HF_Kokonozi_et_al_2010.pdfGoogle Scholar
- Miller-Davis C, Marden S, Leidy NK. The New York Heart Association Classes and functional status: what are we really measuring? Heart and Lung. 2006;35(4), 217--224. doi: 10.1016/j.hrtlng.2006.01.003Google Scholar
- Russell SD, Saval MA, Robbins JL, et al. Investigators, HF-Action. New York Heart Association functional class predicts exercise parameters in the current era. American Heart Journal, 158(4 Suppl), 2009; S24--30. doi: 10.1016/j.ahj.2009.07.017Google Scholar
- Ponokowski PI, Anker SD, Chua TP, et al. Depressed heart rate variability as an independent predictor of death in chronic congestive heart failure secondary to ischemic or idiopathic dilated cardiomyopathy. American Journal of Cardiology. 1997; 15;79(12):1645--50.Google Scholar
- Demers C, McKelvie RS, Negassa A, Yusuf S, Investigators, Resolvd Pilot Study. Reliability, validity, and responsiveness of the six-minute walk test in patients with heart failure. American Heart Journal. 2001; 142(4), 698--703. doi: 10.1067/mhj.2001.118468Google Scholar
- Sutter P, Hennessey B. Connecting Health Literacy and Patient Engagement: A Priority for Community Providers, Home Healthcare Nurse. 2013; 31(8): 446--448.Google Scholar
- Castel MA, Mendez F, Tamborero D, et al. Six-minute walking test predicts long-term cardiac death in patients who received cardiac resynchronization therapy. Europace. 2009; 11(3), 338--342. doi: 10.1093/europace/eun362Google Scholar
- AmericanThoracicSociety. (2002). ATS Statement: Guidelines for the Six-Minute Walk Test. American Journal of Respiratory Critical Care Medicine, 166, 111--117. doi: DOI: 10.1164/rccm.166/1/111Google Scholar
- Enright PL, Sherrill DL, Reference equations for the six-minute walk in healthy adults. American Journal of Respiratory Critical Care Medicine. 1988; 158: 1384--1387.Google Scholar
- Marron JJ, Labrador MA, Fernandez-Lanvin D, Gonzalez-Rodriguez M, Menendez-Valle A. Multi Sensor System for Pedestrian Tracking an Activity Recognition in Indoor Environments," International journal of ad hoc and ubiquitous computing, 2014.Google Scholar
- Shin SH, Park CG, Kim JW, Hong HS, Lee JM. Adaptive Step Length Estimation Algorithm Using Low-Cost MEMS Inertial Sensors. IEEE Sensors Applications Symposium. 2007. 1--5.Google Scholar
- Alzantot M, Youssef M. UPTIME: Ubiquitous pedestrian tracking using mobile phones," IEEE Wireless Communications and Networking Conference (WCNC). 2012; 3204--3209.Google Scholar
Index Terms
- HeartMapp: a mobile application to improve CHF outcomes and reduce hospital readmissions
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