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Improving coronary heart disease self-management using mobile technologies (Text4Heart): a randomised controlled trial protocol

Overview of attention for article published in Trials, March 2014
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Title
Improving coronary heart disease self-management using mobile technologies (Text4Heart): a randomised controlled trial protocol
Published in
Trials, March 2014
DOI 10.1186/1745-6215-15-71
Pubmed ID
Authors

Leila Pfaeffli Dale, Robyn Whittaker, Yannan Jiang, Ralph Stewart, Anna Rolleston, Ralph Maddison

Abstract

Cardiac rehabilitation (CR) is a secondary prevention program that offers education and support to assist patients with coronary heart disease (CHD) make lifestyle changes. Despite the benefits of CR, attendance at centre-based sessions remains low. Mobile technology (mHealth) has potential to reach more patients by delivering CR directly to mobile phones, thus providing an alternative to centre-based CR. The aim of this trial is to evaluate if a mHealth comprehensive CR program can improve adherence to healthy lifestyle behaviours (for example, physically active, fruit and vegetable intake, not smoking, low alcohol consumption) over and above usual CR services in New Zealand adults diagnosed with CHD.

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 455 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 <1%
Australia 2 <1%
Canada 2 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 445 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 16%
Student > Master 66 15%
Researcher 55 12%
Student > Bachelor 45 10%
Student > Postgraduate 33 7%
Other 77 17%
Unknown 107 24%
Readers by discipline Count As %
Medicine and Dentistry 96 21%
Psychology 78 17%
Nursing and Health Professions 58 13%
Computer Science 21 5%
Social Sciences 18 4%
Other 59 13%
Unknown 125 27%