Literature DB >> 25946990

Digital Health Intervention as an Adjunct to Cardiac Rehabilitation Reduces Cardiovascular Risk Factors and Rehospitalizations.

R Jay Widmer1, 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.

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Year:  2015        PMID: 25946990      PMCID: PMC4690207          DOI: 10.1007/s12265-015-9629-1

Source DB:  PubMed          Journal:  J Cardiovasc Transl Res        ISSN: 1937-5387            Impact factor:   4.132


  36 in total

1.  Using an online, personalized program reduces cardiovascular risk factor profiles in a motivated, adherent population of participants.

Authors:  R Jay Widmer; Thomas G Allison; Brendie Keane; Anthony Dallas; Lilach O Lerman; Amir Lerman
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2.  Development and impact of exercise self-efficacy types during and after cardiac rehabilitation.

Authors:  Wendy M Rodgers; Terra C Murray; Anne-Marie Selzler; Paul Norman
Journal:  Rehabil Psychol       Date:  2013-05

3.  Cardiac risk factors, medication, and recurrent clinical events after acute coronary disease; a prospective cohort study.

Authors:  S N Willich; J Müller-Nordhorn; M Kulig; S Binting; H Gohlke; H Hahmann; K Bestehorn; K Krobot; H Völler
Journal:  Eur Heart J       Date:  2001-02       Impact factor: 29.983

4.  Randomised trials of secondary prevention programmes in coronary heart disease: systematic review.

Authors:  F A McAlister; F M Lawson; K K Teo; P W Armstrong
Journal:  BMJ       Date:  2001-10-27

5.  Participation in cardiac rehabilitation, readmissions, and death after acute myocardial infarction.

Authors:  Shannon M Dunlay; Quinn R Pack; Randal J Thomas; Jill M Killian; Véronique L Roger
Journal:  Am J Med       Date:  2014-02-18       Impact factor: 4.965

6.  Utilisation of outpatient cardiac rehabilitation in Queensland.

Authors:  Ian A Scott; Kylie A Lindsay; Hazel E Harden
Journal:  Med J Aust       Date:  2003-10-06       Impact factor: 7.738

7.  Growth in medicare expenditures for patients with acute myocardial infarction: a comparison of 1998 through 1999 and 2008.

Authors:  Donald S Likosky; Weiping Zhou; David J Malenka; William B Borden; Brahmajee K Nallamothu; Jonathan S Skinner
Journal:  JAMA Intern Med       Date:  2013 Dec 9-23       Impact factor: 21.873

8.  Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study.

Authors:  Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Tony Dans; Alvaro Avezum; Fernando Lanas; Matthew McQueen; Andrzej Budaj; Prem Pais; John Varigos; Liu Lisheng
Journal:  Lancet       Date:  2004 Sep 11-17       Impact factor: 79.321

Review 9.  Factors associated with cardiac rehabilitation attendance: a systematic review of the literature.

Authors:  A F Cooper; G Jackson; J Weinman; R Horne
Journal:  Clin Rehabil       Date:  2002-08       Impact factor: 3.477

Review 10.  Using mobile technology for cardiac rehabilitation: a review and framework for development and evaluation.

Authors:  Alexis L Beatty; Yoshimi Fukuoka; Mary A Whooley
Journal:  J Am Heart Assoc       Date:  2013-11-01       Impact factor: 5.501

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  22 in total

1.  Disparities in Cardiac Rehabilitation Among Individuals from Racial and Ethnic Groups and Rural Communities-A Systematic Review.

Authors:  Luis R Castellanos; Omar Viramontes; Nainjot K Bains; Ignacio A Zepeda
Journal:  J Racial Ethn Health Disparities       Date:  2018-03-13

Review 2.  Behaviour change techniques in cardiovascular disease smartphone apps to improve physical activity and sedentary behaviour: Systematic review and meta-regression.

Authors:  Kacie Patterson; Rachel Davey; Richard Keegan; Brea Kunstler; Andrew Woodward; Nicole Freene
Journal:  Int J Behav Nutr Phys Act       Date:  2022-07-07       Impact factor: 8.915

Review 3.  Mobile Phone Interventions for the Secondary Prevention of Cardiovascular Disease.

Authors:  Linda G Park; Alexis Beatty; Zoey Stafford; Mary A Whooley
Journal:  Prog Cardiovasc Dis       Date:  2016-03-18       Impact factor: 8.194

4.  Sociodemographic Characteristics Predicting Digital Health Intervention Use After Acute Myocardial Infarction.

Authors:  Lochan M Shah; Jie Ding; Erin M Spaulding; William E Yang; Matthias A Lee; Ryan Demo; Francoise A Marvel; Seth S Martin
Journal:  J Cardiovasc Transl Res       Date:  2021-05-17       Impact factor: 3.216

5.  Cardiac Patients' Experiences and Perceptions of Social Media: Mixed-Methods Study.

Authors:  Stephanie R Partridge; Anne C Grunseit; Patrick Gallagher; Becky Freeman; Blythe J O'Hara; Lis Neubeck; Sarah Due; Glenn Paull; Ding Ding; Adrian Bauman; Philayrath Phongsavan; Kellie Roach; Leonie Sadler; Helen Glinatsis; Robyn Gallagher
Journal:  J Med Internet Res       Date:  2017-09-15       Impact factor: 5.428

6.  Feasibility of a Mobile Phone App to Promote Adherence to a Heart-Healthy Lifestyle: Single-Arm Study.

Authors:  Pernille Lunde; Birgitta Blakstad Nilsson; Astrid Bergland; Asta Bye
Journal:  JMIR Form Res       Date:  2019-04-19

7.  Workplace Digital Health Is Associated with Improved Cardiovascular Risk Factors in a Frequency-Dependent Fashion: A Large Prospective Observational Cohort Study.

Authors:  R Jay Widmer; Thomas G Allison; Brendie Keane; Anthony Dallas; Kent R Bailey; Lilach O Lerman; Amir Lerman
Journal:  PLoS One       Date:  2016-04-19       Impact factor: 3.240

Review 8.  Remote Patient Monitoring via Non-Invasive Digital Technologies: A Systematic Review.

Authors:  Ashok Vegesna; Melody Tran; Michele Angelaccio; Steve Arcona
Journal:  Telemed J E Health       Date:  2016-04-26       Impact factor: 3.536

Review 9.  Behavior Change Techniques in Physical Activity eHealth Interventions for People With Cardiovascular Disease: Systematic Review.

Authors:  Orlaith Mairead Duff; Deirdre Mj Walsh; Bróna A Furlong; Noel E O'Connor; Kieran A Moran; Catherine B Woods
Journal:  J Med Internet Res       Date:  2017-08-02       Impact factor: 5.428

10.  The Effectiveness of Smartphone Apps for Lifestyle Improvement in Noncommunicable Diseases: Systematic Review and Meta-Analyses.

Authors:  Pernille Lunde; Birgitta Blakstad Nilsson; Astrid Bergland; Kari Jorunn Kværner; Asta Bye
Journal:  J Med Internet Res       Date:  2018-05-04       Impact factor: 5.428

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