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 .
Evaluation of a Telemedicine Service for the Secondary Prevention of Coronary Artery Disease
PURPOSE : Efficient ways are needed to implement the secondary prevention ( SP ) of coronary heart disease . Because few studies have investigated Web-based SP programs , our aim was to determine the usefulness of a new Web-based telemonitoring system , connecting patients provided with self-measurement devices and care managers via mobile phone text messages , as a tool for SP . METHODS : A single-blind , r and omized controlled , clinical trial of 203 acute coronary syndrome ( ACS ) survivors , was conducted at a hospital in Madrid , Spain . All patients received lifestyle counseling and usual-care treatment . Patients in the telemonitoring group ( TMG ) sent , through mobile phones , weight , heart rate , and blood pressure ( BP ) weekly , and capillary plasma lipid profile and glucose monthly . A cardiologist accessed these data through a Web interface and sent recommendations via short message service . Main outcome measures were BP , body mass index ( BMI ) , smoking status , low-density lipoprotein-cholesterol ( LDL-c ) , and glycated hemoglobin A1c ( HbA1c ) . RESULTS : At 12-month followup , TMG patients were more likely ( RR = 1.4 ; 95 % CI = 1.1−1.7 ) to experience improvement in cardiovascular risk factors profile than control patients ( 69.6 % vs 50.5 % , P = .010 ) . More TMG patients achieved treatment goals for BP ( 62.1 % vs 42.9 % , P = .012 ) and HbA1c ( 86.4 % vs 54.2 % , P = .018 ) , with no differences in smoking cessation or LDL-c . Body mass index was significantly lower in TMG ( −0.77 kg/m2 vs + 0.29 kg/m2 , P = .005 ) . CONCLUSIONS : A telemonitoring program , via mobile phone messages , appears to be useful for improving the risk profile in ACS survivors and can be an effective tool for secondary prevention , especially for overweight patients
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 .