Abstract
Cardiac rehabilitation (CR) following myocardial infarction is vastly underused. As such, the aim of this study was to test a digital health intervention (DHI) as an adjunct to CR. Patients undergoing standard Mayo Clinic CR were recruited prior to CR (n = 25) or after 3 months CR (n = 17). Changes in risk factors and rehospitalizations plus emergency department (ED) visits were assessed after 3 months. Patients assigned to DHI during CR had significant reductions in weight (−4.0 ± 5.2 kg, P = .001), blood pressure (−10.8 ± 13.5 mmHg, P = .0009), and the group using DHI after 3 months of CR had significant reductions in weight (−2.5 ± 3.8 kg, P = .04) and systolic BP (−12.6 ± 12.4 mmHg, P = .001) compared to the control groups. Both DHI groups also displayed significant reductions in rehospitalizations/ED visits (−37.9 %, P = 0.01 and −28 %, P = .04, respectively). This study suggests that a guideline-driven DHI CR program can augment secondary prevention strategies during usual CR by improving risk factors for repeat events.
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Roger, V., Go, A. S., Lloyd-Jones, D. M., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., Fullerton, H. J., Gillespie, C., Hailpern, S. M., Heit, J. A., Howard, V. J., Kissela, B. M., Kittner, S. J., Lackland, D. T., Lichtman, J. H., Lisabeth, L. D., Makuc, D. M., Marcus, G. M., Marelli, A., Matchar, D. B., Moy, C. S., Mozaffarian, D., Mussolino, M. E., Nichol, G., Paynter, N. P., Soliman, E. Z., Sorlie, P. D., Sotoodehnia, N., Turan, T. N., Virani, S. S., Wong, N. D., Woo, D., Turner, M. B., & American Heart Association Statistics Committee and Stroke Statistics Subcommittee. (2012). Executive summary: heart disease and stroke statistics--2012 update: a report from the American Heart Associatio. Circulation, 125(1), 188–197.
Rosamond, W., Flegal, K., Furie, K., et al. (2008). Heart disease and stroke statistics—2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee, Circulation. Circulation, 117, e25–e146.
Yusef, S., et al. (2004). Effects of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case controlled study. Lancet, 342, 937–952.
Go, A., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., Franco, S., Fullerton, H. J., Gillespie, C., Hailpern, S. M., Heit, J. A., Howard, V. J., Huffman, M. D., Kissela, B. M., Kittner, S. J., Lackland, D. T., Lichtman, J. H., Lisabeth, L. D., Magid, D., Marcus, G. M., Marelli, A., Matchar, D. B., McGuire, D. K., Mohler, E. R., Moy, C. S., Mussolino, M. E., Nichol, G., Paynter, N. P., Schreiner, P. J., Sorlie, P. D., Stein, J., Turan, T. N., Virani, S. S., Wong, N. D., Woo, D., & Turner, M. B. (2013). 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, 127(1), 143–152.
Pfuntner, A., Wier, L. M., & Steiner, C. (2013). Costs for Hospital Stays in the United States, 2010. HCUP Statistical Brief #146. Rockville: Agency for Healthcare Research and Quality.
Likosky, D., Zhou, W., Malenka, D. J., Borden, W. B., Nallamothu, B. K., & Skinner, J. S. (2013). Growth in medicare expenditures for patients with acute myocardial infarction: a comparison of 1998 through 1999 and 2008. JAMA Internal Medicine, 173, 2055–2061.
Dunlay, S., Weston, S. A., Killian, J. M., Bell, M. R., Jaffe, A. S., & Roger, V. L. (2012). Thirty-day rehospitalizations after acute myocardial infarction: a cohort study. Annals of Internal Medicine, 157(1), 11–18.
Maddox, T., Reid, K. J., Rumsfeld, J. S., & Spertus, J. A. (2007). One-year health status outcomes of unstable angina versus myocardial infarction: a prospective, observational cohort study of ACS survivors. BMC Cardiovascular Disorders, 7, 28.
Khumri, T., Reid, K. J., Kosiborod, M., Spertus, J. A., & Main, M. L. (2009). Usefulness of left ventricular diastolic dysfunction as a predictor of one-year rehospitalization in survivors of acute myocardial infarction. American Journal of Cardiology, 103(1), 17–21.
Balducci, S., for the Italian Diabetes Exercise Study, Investigators, et al. (2010). Effect of an intensive exercise intervention strategy on modifiable cardiovascular risk factors in subjects with type 2 diabetes mellitus: a randomized controlled trial: the italian diabetes and exercise study (IDES). Archives of Internal Medicine, 170(20), 1794–1803.
Goel, K., Lennon, R. J., Tilbury, R. T., Squires, R. W., & Thomas, R. J. (2011). Impact of cardiac rehabilitation on mortality and cardiovascular events after percutaneous coronary intervention in the community. Circulation, 123(21), 2344–2352.
Schroeder, S. (2007). Shattuck Lecture. We can do better–improving the health of the American people. New England Journal of Medicine, 357(12), 1221–1228.
Suaya, J., Shepard, D. S., Normand, S. L., Ades, P. A., Prottas, J., & Stason, W. B. (2007). Use of cardiac rehabilitation by Medicare beneficiaries after myocardial infarction or coronary bypass surgery. Circulation, 116(15), 1653–1662.
Brown, T., Hernandez, A. F., Bittner, V., Cannon, C. P., Ellrodt, G., Liang, L., Peterson, E. D., Piña, I. L., Safford, M. M., & Fonarow, G. C. (2009). Predictors of cardiac rehabilitation referral in coronary artery disease patients: findings from the American Heart Association’s get with the guidelines program. Journal of the American College of Cardiology, 54(6), 515–521.
Cooper, A. (2002). Factors associated with cardiac rehabilitation attendance: a systematic review of the literature. Clinical Rehabilitation, 16(5), 541–552.
Corra, U., et al. (2010). Secondary prevention through cardiac rehabilitation: physical activity counselling and exercise training. European Heart Journal, 31, 1967–1974. doi:10.1093/eurheartj/ehq236.
Mattila, E., et al. (2008). Mobile diary for wellness management—results on usage and usability in two user studies. IEEE Transactions on Information Technology in Biomedicine, 12(4), 501–512.
McAlister, F., Lawson, F. M., Teo, K. K., & Armstrong, P. W. (2001). Randomised trials of secondary prevention programmes in coronary heart disease: systematic review. British Medical Journal, 323(7319), 957–962.
McKellar, S., et al. (2008). Development of the diet habits questionnaire for use in cardiac rehabilitation. Australian Journal of Primary Health, 14(3), 43–47.
Scott, I., Lindsay, K. A., & Harden, H. E. (2003). Utilisation of outpatient cardiac rehabilitation in Queensland. Medical Journal of Australia, 179(7), 332–333.
Teo, K., Lear, S., Islam, S., Mony, P., Dehghan, M., Li, W., Rosengren, A., Lopez-Jaramillo, P., Diaz, R., Oliveira, G., Miskan, M., Rangarajan, S., Iqbal, R., Ilow, R., Puone, T., Bahonar, A., Gulec, S., Darwish, E. A., Lanas, F., Vijaykumar, K., Rahmarn, O., Chifamba, J., Hou, Y., Li, N., Yusuf, S., & PURE Investigators. (2013). Prevalence of a healthy lifestyle among individuals with cardiovascular disease in high-, middle- and low-income countries: The Prospective Urban Rural Epidemiology (PURE) study. JAMA, 309(15), 1613–1621.
Hawn, C. (2009). Take two aspirin and tweet me in the morning: how twitter, facebook, and other social media are reshaping health care. Health Affairs, 28(2), 361–368.
Lefebvre, R. (2007). The new technology: the consumer as participant rather than target audience. Social Marketing Quarterly, 13, 31–42.
Freeman, B., & Chapman, S. (2012). Measuring interactivity on tobacco control websites. Journal of Health Communication, 17, 857–865.
Beatty, A., Fukuoka, Y., & Whooley, M. A. (2013). Using mobile technology for cardiac rehabilitation: a review and framework for development and evaluation. Journal of the American Heart Association, 2(6), e000568.
Widmer, R., Allison, T. G., Keane, B., Dallas, A., Lerman, L. O., & Lerman, A. (2014). Using an online, personalized program reduces cardiovascular risk factor profiles in a motivated, adherent population of participants. American Heart Journal, 167(1), 93–100.
Clark, M., Warren, B. A., Hagen, P. T., Johnson, B. D., Jenkins, S. M., Werneburg, B. L., & Olsen, K. D. (2011). Stress level, health behaviors, and quality of life in employees joining a wellness center. American Journal of Health Promotion, 26(1), 21–25.
Van Weel, C. (1993). Functional status in primary care: COOP/WONCA charts. Disability and Rehabilitation, 15, 96–101.
Glanz, K., & Bishop, D. B. (2010). The role of behavioral science theory in development and implementation of public health interventions. Annual Review of Public Health, 31, 399–418.
Balady, G., Ades, P. A., Bittner, V. A., Franklin, B. A., Gordon, N. F., Thomas, R. J., Tomaselli, G. F., & Yancy, C. W. (2011). Referral, enrollment, and delivery of cardiac rehabilitation/secondary prevention programs at clinical centers and beyond: a presidential advisory from the American Heart Association. Circulation, 124, 2951–2960.
Thomas, R., King, M., Lui, K., Oldridge, N., Piña, I. L., & Spertus, J. (2010). AACVPR/ACCF/AHA 2010 update: performance measures on cardiac rehabilitation for referral to cardiac rehabilitation/secondary prevention services: a report of the American Association of Cardiovascular and Pulmonary Rehabilitation and the American College of Cardiology Foundation/American Heart Association Task Force on Performance Measures (Writing Committee to Develop Clinical Performance Measures for Cardiac Rehabilitation). Circulation, 122(13), 1342–1350.
Smith, A., Smartphone ownership 2013. http://pewinternet.org/Reports/2013/Smartphone-Ownership-2013.aspx. 2013.
Zickuhr, K., & Madden, M. (2012). Older adults and internet use. Pew Internet & American Life Project http://www.pewinternet.org//media//Files/Reports/2012/PIP_Older_adults_and_internet_use.pdf.
Fox, S., Duggan, M. (2012). Pew Research Center’s Internet & American Life Project. http://pewinternet.org/Reports/2012/Mobile-Health.aspx.
Arrigo, I., Brunner-LaRocca, H., Lefkovits, M., Pfisterer, M., & Hoffmann, A. (2008). Comparative outcome one year after formal cardiac rehabilitation: the effects of a randomized intervention to improve exercise adherence. European Journal of Cardiovascular Prevention and Rehabilitation, 15(3), 306–311.
Willich, S., Müller-Nordhorn, J., Kulig, M., Binting, S., Gohlke, H., Hahmann, H., Bestehorn, K., Krobot, K., Völler, H., & PIN Study Group. (2001). Cardiac risk factors, medication, and recurrent clinical events after acute coronary disease; a prospective cohort study. European Heart Journal, 22(4), 307–313.
Shah, N., Dunlay, S. M., Ting, H. H., Montori, V. M., Thomas, R. J., Wagie, A. E., & Roger, V. L. (2009). Long-term medication adherence after myocardial infarction: experience of a community. American Journal of Medicine, 122(10), e7–e13.
Hansen, D., Dendale, P., Raskin, A., Schoonis, A., Berger, J., Vlassak, I., & Meeusen, R. (2010). Long-term effect of rehabilitation in coronary artery disease patients: randomized clinical trial of the impact of exercise volume. Clinical Rehabilitation, 24(4), 319–327.
Gore, J., Peterson, E., Amin, A., Anderson, F. A., Jr., Dasta, J. F., Levy, P. D., O’Neil, B. J., Sung, G. Y., Varon, J., Wyman, A., Granger, C. B., & STAT Investigators. (2010). Predictors of 90-day readmission among patients with acute severe hypertension. The cross-sectional observational Studying the Treatment of Acute hyperTension (STAT) study. American Heart Journal, 160(3), 521–527.
Dunlay, S., Pack, Q. R., Thomas, R. J., Killian, J. M., & Roger, V. L. (2014). Participation in cardiac rehabilitation, readmissions, and death after acute myocardial infarction. American Journal of Medicine, 127(6), 538–546.
Rodgers, W., Murray, T. C., Selzler, A. M., & Norman, P. (2013). Development and impact of exercise self-efficacy types during and after cardiac rehabilitation. Rehabilitation Psychology, 58(2), 178–184.
Webb, T., Joseph, J., Yardley, L., & Michie, S. (2010). Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research, 12, e4.
Acknowledgments
The authors thank the Binational Industrial Research and Development (BIRD) Foundation for their financial support. We also extend appreciation to Arturo Weschler, MD and Healarium Inc. an e-Health company, Dallas TX for their assistance in data de-identification and gathering. The sponsors and granting institutions had no impact on the results or preparation of the manuscript.
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Funding
This study was funded by Binational Industrial Research and Development (BIRD) Foundation #1303. This publication was also made possible by CTSA Grant Number UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NIH.
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The authors declare that they have no conflict of interest.
Ethical Approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Informed Consent
Informed consent was obtained from all individual participants included in the study.
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Editor-in-Chief Jennifer L. Hall oversaw the review of this article
Statement on clinical relevance
This study demonstrates feasibility of a digital health initiative in cardiac rehabilitation, not only reducing cardiovascular risk factors but also demonstrating drastic reductions in clinically important outcomes such as rehospitalizations and emergency department visits over and above usual cardiac rehabilitation. This work should be used as a guide for future digital/mobile health studies in secondary CVD risk and event reduction.
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Widmer, R.J., Allison, T.G., Lerman, L.O. et al. Digital Health Intervention as an Adjunct to Cardiac Rehabilitation Reduces Cardiovascular Risk Factors and Rehospitalizations. J. of Cardiovasc. Trans. Res. 8, 283–292 (2015). https://doi.org/10.1007/s12265-015-9629-1
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DOI: https://doi.org/10.1007/s12265-015-9629-1