skip to main content
10.1145/2811780.2811914acmotherconferencesArticle/Chapter ViewAbstractPublication PageswhConference Proceedingsconference-collections
research-article

HeartMapp: a mobile application to improve CHF outcomes and reduce hospital readmissions

Published:14 October 2015Publication History

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.

References

  1. 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 ScholarGoogle Scholar
  2. 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 ScholarGoogle Scholar
  3. 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 ScholarGoogle Scholar
  4. 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 ScholarGoogle ScholarCross RefCross Ref
  5. 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 ScholarGoogle Scholar
  6. 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 ScholarGoogle Scholar
  7. 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 ScholarGoogle Scholar
  8. 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 ScholarGoogle Scholar
  9. 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 ScholarGoogle Scholar
  10. 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 ScholarGoogle Scholar
  11. 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 ScholarGoogle Scholar
  12. 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 ScholarGoogle Scholar
  13. 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 ScholarGoogle Scholar
  14. 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 ScholarGoogle Scholar
  15. 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 ScholarGoogle Scholar
  16. 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 ScholarGoogle Scholar
  17. Heidenreich PA. Time for a Thorough Evaluation of Patient-Centered Care. Circulation: Cardiovasc Qual Outcomes. 2013; 6: 2--4Google ScholarGoogle Scholar
  18. Pew Internet (2014). Mobile. Retrieved from http://pewinternet.org/Commentary/2014/February/Pew-Internet-Mobile.aspxGoogle ScholarGoogle Scholar
  19. 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 ScholarGoogle Scholar
  20. 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 ScholarGoogle Scholar
  21. 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 ScholarGoogle Scholar
  22. 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 ScholarGoogle Scholar
  23. 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 ScholarGoogle Scholar
  24. 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 ScholarGoogle Scholar
  25. Sutter P, Hennessey B. Connecting Health Literacy and Patient Engagement: A Priority for Community Providers, Home Healthcare Nurse. 2013; 31(8): 446--448.Google ScholarGoogle Scholar
  26. 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 ScholarGoogle Scholar
  27. 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 ScholarGoogle Scholar
  28. 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 ScholarGoogle Scholar
  29. 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 ScholarGoogle Scholar
  30. 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 ScholarGoogle Scholar
  31. Alzantot M, Youssef M. UPTIME: Ubiquitous pedestrian tracking using mobile phones," IEEE Wireless Communications and Networking Conference (WCNC). 2012; 3204--3209.Google ScholarGoogle Scholar

Index Terms

  1. HeartMapp: a mobile application to improve CHF outcomes and reduce hospital readmissions

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        WH '15: Proceedings of the conference on Wireless Health
        October 2015
        157 pages
        ISBN:9781450338516
        DOI:10.1145/2811780

        Copyright © 2015 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 14 October 2015

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        WH '15 Paper Acceptance Rate28of106submissions,26%Overall Acceptance Rate35of139submissions,25%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader