The m-Health programmes reported positive effects on adherence to medication .
Conclusion Evidence exists that supports the use of e-Health interventions for improving secondary prevention of CAD .
However , a comparison across studies highlighted a wide variability of components and outcomes within the different modes of delivery .
Background Electronic health ( e-Health ) interventions are emerging as an effective alternative model for improving secondary prevention of coronary artery disease ( CAD ) .
The aim of this study was to describe the effectiveness of different modes of delivery and components in e-Health secondary prevention programmes on adherence to treatment , modifiable CAD risk factors and psychosocial outcomes for patients with CAD .
Text Message and Internet Support for Coronary Heart Disease Self-Management: Results From the Text4Heart Randomized Controlled Trial
Background Mobile technology has the potential to deliver behavior change interventions ( mHealth ) to reduce coronary heart disease ( CHD ) at modest cost . Previous studies have focused on single behaviors ; however , cardiac rehabilitation ( CR ) , a component of CHD self-management , needs to address multiple risk factors . Objective The aim was to investigate the effectiveness of a mHealth-delivered comprehensive CR program ( Text4Heart ) to improve adherence to recommended lifestyle behaviors ( smoking cessation , physical activity , healthy diet , and nonharmful alcohol use ) in addition to usual care ( traditional CR ) . Methods A 2-arm , parallel , r and omized controlled trial was conducted in New Zeal and adults diagnosed with CHD . Participants were recruited in-hospital and were encouraged to attend center-based CR ( usual care control ) . In addition , the intervention group received a personalized 24-week mHealth program , framed in social cognitive theory , sent by fully automated daily short message service ( SMS ) text messages and a supporting website . The primary outcome was adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score ( ≥3 ) at 3 and 6 months . Secondary outcomes included clinical outcomes , medication adherence score , self-efficacy , illness perceptions , and anxiety and /or depression at 6 months . Baseline and 6-month follow-up assessment s ( unblinded ) were conducted in person . Results Eligible patients ( N=123 ) recruited from 2 large metropolitan hospitals were r and omized to the intervention ( n=61 ) or the control ( n=62 ) group . Participants were predominantly male ( 100/123 , 81.3 % ) , New Zeal and European ( 73/123 , 59.3 % ) , with a mean age of 59.5 ( SD 11.1 ) years . A significant treatment effect in favor of the intervention was observed for the primary outcome at 3 months ( AOR 2.55 , 95 % CI 1.12 - 5.84 ; P=.03 ) , but not at 6 months ( AOR 1.93 , 95 % CI 0.83 - 4.53 ; P=.13 ) . The intervention group reported significantly greater medication adherence score ( mean difference : 0.58 , 95 % CI 0.19 - 0.97 ; P=.004 ) . The majority of intervention participants reported reading all their text messages ( 52/61 , 85 % ) . The number of visits to the website per person ranged from zero to 100 ( median 3 ) over the 6-month intervention period . Conclusions A mHealth CR intervention plus usual care showed a positive effect on adherence to multiple lifestyle behavior changes at 3 months in New Zeal and adults with CHD compared to usual care alone . The effect was not sustained to the end of the 6-month intervention . A larger study is needed to determine the size of the effect in the longer term and whether the change in behavior reduces adverse cardiovascular events . Trial Registration ACTRN 12613000901707 ; https://www.anzctr.org.au/Trial/ Registration /Trial Review .aspx?id=364758&is Review = true ( Archived by WebCite at http://www.webcitation.org/6c4qhcHKt
The m-Health programmes reported positive effects on adherence to medication .
Conclusion Evidence exists that supports the use of e-Health interventions for improving secondary prevention of CAD .
However , a comparison across studies highlighted a wide variability of components and outcomes within the different modes of delivery .
Background Electronic health ( e-Health ) interventions are emerging as an effective alternative model for improving secondary prevention of coronary artery disease ( CAD ) .
The aim of this study was to describe the effectiveness of different modes of delivery and components in e-Health secondary prevention programmes on adherence to treatment , modifiable CAD risk factors and psychosocial outcomes for patients with CAD .