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 .
A Web-Based Program Improves Physical Activity Outcomes in a Primary Care Angina Population: Randomized Controlled Trial
Background Angina affects more than 50 million people worldwide . Secondary prevention interventions such as cardiac rehabilitation are not widely available for this population . An Internet-based version could offer a feasible alternative . Objective Our aim was to examine the effectiveness of a Web-based cardiac rehabilitation program for those with angina . Methods We conducted a r and omized controlled trial , recruiting those diagnosed with angina from general practitioners ( GPs ) in primary care to an intervention or control group . Intervention group participants were offered a 6-week Web-based rehabilitation program ( “ ActivateYourHeart ” ) . The program was introduced during a face-to-face appointment and then delivered via the Internet ( no further face-to-face contact ) . The program contained information about the secondary prevention of coronary heart disease ( CHD ) and set each user goals around physical activity , diet , managing emotions , and smoking . Performance against goals was review ed throughout the program and goals were then reset/modified . Participants completed an online  exercise diary and communicated with rehabilitation specialists through an email link/synchronized chat room . Participants in the control group continued with GP treatment as usual , which consisted of being placed on a CHD register and attending an annual review . Outcomes were measured at 6-week and 6-month follow-ups during face-to-face assessment s. The primary outcome measure was change in daily steps at 6 weeks , measured using an accelerometer . Secondary outcome measures were energy expenditure ( EE ) , duration of sedentary activity ( DSA ) , duration of moderate activity ( DMA ) , weight , diastolic/systolic blood pressure , and body fat percentage . Self-assessed question naire outcomes included fat/fiber intake , anxiety/depression , self-efficacy , and quality of life ( QOL ) . Results A total of 94 participants were recruited and r and omized to the intervention ( n=48 ) or the usual care  ( n=46 ) group ; 84 and 73 participants completed the 6-week and 6-month follow-ups , respectively . The mean number of log-ins to the program was 18.68 ( SD 13.13 , range 1 - 51 ) , an average of 3 log-ins per week per participant . Change in daily steps walked at the 6-week follow-up was + 497 ( SD 2171 ) in the intervention group and –861 ( SD 2534 ) in the control group ( 95 % CI 263 - 2451 , P=.02 ) . Significant intervention effects were observed at the 6-week follow-up in EE ( + 43.94 kcal , 95 % CI 43.93 - 309.98 , P=.01 ) , DSA ( –7.79 minutes , 95 % CI –55.01 to –7.01 , P=.01 ) , DMA ( + 6.31 minutes , 95 % CI 6.01 - 51.20 , P=.01 ) , weight ( –0.56 kg , 95 % CI –1.78 to –0.15 , P=.02 ) , self-efficacy ( 95 % CI 0.30 - 4.79 , P=.03 ) , emotional QOL score ( 95 % CI 0.01 - 0.54 , P=.04 ) , and angina frequency ( 95 % CI 8.57 - 35.05 , P=.002 ) . Significant benefits in angina frequency ( 95 % CI 1.89 - 29.41 , P=.02 ) and social QOL score ( 95 % CI 0.05 - 0.54 , P=.02 ) were also observed at the 6-month follow-up . Conclusions An Internet-based secondary prevention intervention could be offered to those with angina . A larger pragmatic trial is required to provide definitive evidence of effectiveness and cost-effectiveness . Trial Registration International St and ard R and omized Controlled Trial Number ( IS RCT N ) : 90110503 ; http://www.controlled-trials.com/IS RCT N90110503/IS RCT N90110503 ( Archived by WebCite at http://www.webcitation.org/6RYVOQFKM )
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 .