Title |
Digital Health Intervention as an Adjunct to Cardiac Rehabilitation Reduces Cardiovascular Risk Factors and Rehospitalizations
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Published in |
Journal of Cardiovascular Translational Research, May 2015
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DOI | 10.1007/s12265-015-9629-1 |
Pubmed ID | |
Authors |
R. Jay Widmer, Thomas G. Allison, Lilach O. Lerman, Amir Lerman |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 6 | 67% |
United Kingdom | 2 | 22% |
Unknown | 1 | 11% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 67% |
Scientists | 2 | 22% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
United States | 1 | <1% |
Unknown | 115 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 18 | 15% |
Student > Ph. D. Student | 16 | 14% |
Researcher | 14 | 12% |
Student > Bachelor | 10 | 8% |
Student > Doctoral Student | 9 | 8% |
Other | 23 | 19% |
Unknown | 28 | 24% |
Readers by discipline | Count | As % |
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Nursing and Health Professions | 26 | 22% |
Medicine and Dentistry | 24 | 20% |
Psychology | 8 | 7% |
Social Sciences | 7 | 6% |
Computer Science | 4 | 3% |
Other | 17 | 14% |
Unknown | 32 | 27% |