Cited by 268Mobile Health and mHealth ApplicationsPhysical Activity and HealthCardiac Health and Mental Health

A mobile phone intervention increases physical activity in people with cardiovascular disease: Results from the HEART randomized controlled trial

Maddison, Ralph, Pfaeffli, Leila, Whittaker, Robyn, Stewart, Ralph, Kerr, Andrew, Jiang, Yannan, Kira, Geoffrey, Leung, William +3 more·2015·European Journal of Preventive Cardiology

Abstract

AIM: To determine the effectiveness and cost-effectiveness of a mobile phone intervention to improve exercise capacity and physical activity behaviour in people with ischaemic heart disease (IHD). METHODS AND RESULTS: In this single-blind, parallel, two-arm, randomized controlled trial adults (n = 171) with IHD were randomized to receive a mobile phone delivered intervention (HEART; n = 85) plus usual care, or usual care alone (n = 86). Adult participants aged 18 years or more, with a diagnosis of IHD, were clinically stable as outpatients, able to perform exercise, able to understand and write English, and had access to the Internet. The HEART (Heart Exercise And Remote Technologies) intervention involved a personalized, automated package of text messages and a secure website with video messages aimed at increasing exercise behaviour, delivered over 24 weeks. All participants were able to access usual community-based cardiac rehabilitation, which involves encouragement of physical activity and an offer to join a local cardiac support club. All outcomes were assessed at baseline and 24 weeks and included peak oxygen uptake (PVO2; primary outcome), self-reported physical activity, health-related quality of life, self-efficacy and motivation (secondary outcomes). Results showed no differences in PVO2 between the two groups (difference -0.21 ml kg(-1)min(-1), 95% CI: -1.1, 0.7; p = 0.65) at 24 weeks. However significant treatment effects were observed for selected secondary outcomes, including leisure time physical activity (difference 110.2 min/week, 95% CI: -0.8, 221.3; p = 0.05) and walking (difference 151.4 min/week, 95% CI: 27.6, 275.2; p = 0.02). There were also significant improvements in self-efficacy to be active (difference 6.2%, 95% CI: 0.2, 12.2; p = 0.04) and the general health domain of the SF36 (difference 2.1, 95% CI: 0.1, 4.1; p = 0.03) at 24 weeks. The HEART programme was considered likely to be cost-effective for leisure time activity and walking. CONCLUSIONS: A mobile phone intervention was not effective at increasing exercise capacity over and above usual care. The intervention was effective and probably cost-effective for increasing physical activity and may have the potential to augment existing cardiac rehabilitation services.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/2047487314535076

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 42 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. Pell J, Pell A, Morrison C, et al. Retrospective study of influence of deprivation on uptake of cardiac rehabilita- tion. BMJ 1996; 313: 267-268.

Cited by

Sorted by citations

Authors
Maddison, R., Pfaeffli, L., Whittaker, R., Stewart, R., Kerr, A., Jiang, Y., Kira, G., Leung, W., Dalleck, L., Carter, K., & Rawstorn, J.
Affiliations
  • University of Auckland (NZ)
  • National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
  • Auckland City Hospital (NZ)
  • School of Sport and Exercise, Massey University, Auckland, New Zealand
Corresponding author
Maddison, Ralph
Venue
European Journal of Preventive Cardiology
Published
2014-05-09
Volume
22
Issue
6
Pages
701-709
ISSN
  • 2047-4873 (ISSN-L)
  • 2047-4881
OpenAlex
W2128142081
Cited by
268
References
42
Citations by year
2026: 9 · 2025: 22 · 2024: 19 · 2023: 23 · 2022: 33 · 2021: 30 · 2020: 21 · 2019: 32 · 2018: 23 · 2017: 26 · 2016: 15 · 2015: 12 · 2014: 1
FWCI
32.59
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Preventive Cardiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Health Research Council of New Zealand
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
Keywords
mobile phone intervention, text messaging, ischemic heart disease, physical activity behavior, exercise capacity, peak oxygen uptake, cardiac rehabilitation, health-related quality of life, self-efficacy, walking, cost-effectiveness, video messages, leisure-time physical activity, exercise motivation, self-management support, SF-36
MeSH terms
Aged, Cost-Benefit Analysis, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Motor Activity, New Zealand, Time Factors, Video Recording, Health Behavior, Single-Blind Method, Treatment Outcome, Health Care Costs, Exercise Tolerance, Myocardial Ischemia, Telemedicine, Recovery of Function, Self Efficacy, Internet, Cell Phone, Text Messaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review