human
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: AIMS AND OBJECTIVES To compare drug adherence to lipid-lowering therapy among out patients with coronary artery disease who received information via short message service , via short message service and Micro Letter , or via phone only .  BACKGROUND Messaging applications and short message service are commonly used internationally . However , little is known about how coronary artery disease out patients in China may benefit from receiving health education through these technologies . DESIGN R and om sampling method . METHODS Data were collected from March-December 2013 . Subjects from Chengdu City , China , were r and omised to three groups : short message service , short message service + Micro Letter , and phone ( control ) . Appointment reminders and health information were delivered to patients in accordance with design ations . After six months , adherence to statin prescriptions was compared among the groups by using the Morisky Medication Adherence Scale . Logistic regression analysis was applied to determine those independent variables that were related to adherence . RESULTS The short message service and short message service + Micro Letter groups had better cumulative adherence ( lower Morisky Medication Adherence Scale scores ) after six months than phone group , and the short message service + Micro Letter group had better cumulative adherence ( lower Morisky Medication Adherence Scale scores ) than the short message service group . Female sex , older age and marriage show positive associations with adherence . CONCLUSIONS Short message service and messaging applications , such as Micro Letter , are effective means of providing discharged patients with reminders and coronary artery disease-related health information . Implementation of a short message service + Micro Letter program can improve outpatient adherence to medication . RELEVANCE TO CLINICAL PRACTICE This research offers useful information to help medical staff design effective interventions to improve medication compliance among coronary artery disease patients 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 , r and omized controlled trial adults ( n = 171 ) with IHD were r and omized 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 clinical ly stable as out patients , able to perform exercise , able to underst and 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 aim ed 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 Background : The CardioFit internet-based expert system was design ed to promote physical activity in patients with coronary heart disease ( CHD ) who were not participating in cardiac rehabilitation . Design : This r and omized controlled trial compared CardioFit to usual care to assess its effects on physical activity following hospitalization for acute coronary syndromes . Methods : A total of 223 participants were recruited at the University of Ottawa Heart Institute or London Health Sciences Centre and r and omly assigned to either  CardioFit  ( n = 115 ) or  usual care ( n = 108 ) . The CardioFit group received a personally tailored physical-activity plan upon discharge from the hospital and access to a secure website for activity planning and tracking . They completed five online tutorials over a 6-month period and were in email contact with an exercise specialist . Usual care consisted of physical activity guidance from an attending cardiologist .  Physical activity was measured by pedometer and self-reported over a 7-day period , 6 and 12 months after r and omization . Results : The CardioFit internet-based physical activity expert system significantly increased objective ly measured ( p = 0.023 ) and self-reported physical activity ( p = 0.047 ) compared to usual care . Emotional ( p = 0.038 ) and physical ( p = 0.031 ) dimensions of heart disease health-related quality of life were also higher with CardioFit compared to usual care . Conclusions : Patients with CHD using an internet-based activity prescription with online coaching were more physically active at follow up than those receiving usual care . Use of the CardioFit program could extend the reach of rehabilitation and secondary -prevention services Objective To investigate whether an internet based , nurse led vascular risk factor management programme promoting self management on top of usual care is more effective than usual care alone in reducing vascular risk factors in patients with clinical ly manifest vascular disease . Design Prospect i ve r and omised controlled trial . Setting Multicentre trial in secondary and tertiary healthcare setting . Participants 330 patients with a recent clinical manifestation of atherosclerosis in the coronary , cerebral , or peripheral arteries and with at least two treatable risk factors not at goal . Intervention Personalised website with an overview and actual status of patients ’ risk factors and mail communication via the website with a nurse practitioner for 12 months ; the intervention combined self management support , monitoring of disease control , and drug treatment . Main outcome measures The primary endpoint was the relative change in Framingham heart risk score after 1 year . Secondary endpoints were absolute changes in the levels of risk factors and the differences between groups in the change in proportion of patients reaching treatment goals for each risk factor . Results Participants ’ mean age was 59.9 ( SD 8.4 ) years , and most patients ( n=246 ; 75 % ) were male . After 1 year , the relative change in Framingham heart risk score of the intervention group compared with the usual care group was −14 % ( 95 % confidence interval −25 % to −2 % ) . At baseline , the Framingham heart risk score was higher in the intervention group than in the usual care group ( 16.1 ( SD 10.6 ) v 14.0 ( 10.5 ) ) , so the outcome was adjusted for the separate variables of the Framingham heart risk score and for the baseline Framingham heart risk score . This produced a relative change of −12 % ( −22 % to −3 % ) in Framingham heart risk score for the intervention group compared with the usual care group adjusted for the separate variables of the score and −8 % ( −18 % to 2 % ) adjusted for the baseline score . Of the individual risk factors , a difference between groups was observed in low density lipoprotein cholesterol ( −0.3 , −0.5 to −0.1 , mmol/L ) and smoking ( −7.7 % , −14.9 % to −0.4 % ) . Some other risk factors tended to improve ( body mass index , triglycerides , systolic blood pressure , renal function ) or tended to worsen ( glucose concentration , albuminuria ) . Conclusion An internet based , nurse led treatment programme on top of usual care for vascular risk factors had a small effect on lowering vascular risk and on lowering of some vascular risk factors in patients with vascular disease . Trial registration Clinical trials NCT00785031 Background The purpose of this study was to evaluate the effect of a physical activity telemonitoring program on daily physical activity level , oxygen uptake capacity ( VO2peak ) , and cardiovascular risk profile in coronary artery disease ( CAD ) patients who completed phase II cardiac rehabilitation ( CR ) . Methods Eighty CAD patients who completed phase II CR were r and omly assigned to an additional telemonitoring intervention or st and ard CR . The patients in the intervention group ( n = 40 ) wore a motion sensor continuously for 18 weeks . Each week these patients received a step count goal , with the aim to gradually increase the patients ’ physical activity level . In the control group ( n = 40 ) , the patients wore an unreadable motion sensor for seven days for measurement purpose s only ( at start of follow-up , and after six and 18 weeks ) . At start of follow-up and after 18 weeks blood lipid profile , glycemic control , waist circumference and body mass index was assessed . VO2peak was assessed at start of follow-up , and after six and 18 weeks . Re-hospitalisation rate was followed during this timeframe . Results In the intervention group , VO2peak increased significantly during follow-up ( P = 0.001 ) , in the control group it did not ( P = 0.273 ) . A significant correlation was found between daily aerobic step count and improvement in VO2peak ( P = 0.030 , r = 0.47 ) . Kaplan-Meier curve analysis showed a trend towards fewer re-hospitalisations for patients in the telemonitoring group ( P = 0.09 ) . Conclusions The study showed that , to maintain exercise tolerance and lower re-hospitalisation rate after hospital-based CR in CAD patients , a physical activity telemonitoring program might be an effective intervention 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 
    Output:
    
agent
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 .
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: AIMS AND OBJECTIVES To compare drug adherence to lipid-lowering therapy among out patients with coronary artery disease who received information via short message service , via short message service and Micro Letter , or via phone only .  BACKGROUND Messaging applications and short message service are commonly used internationally . However , little is known about how coronary artery disease out patients in China may benefit from receiving health education through these technologies . DESIGN R and om sampling method . METHODS Data were collected from March-December 2013 . Subjects from Chengdu City , China , were r and omised to three groups : short message service , short message service + Micro Letter , and phone ( control ) . Appointment reminders and health information were delivered to patients in accordance with design ations . After six months , adherence to statin prescriptions was compared among the groups by using the Morisky Medication Adherence Scale . Logistic regression analysis was applied to determine those independent variables that were related to adherence . RESULTS The short message service and short message service + Micro Letter groups had better cumulative adherence ( lower Morisky Medication Adherence Scale scores ) after six months than phone group , and the short message service + Micro Letter group had better cumulative adherence ( lower Morisky Medication Adherence Scale scores ) than the short message service group . Female sex , older age and marriage show positive associations with adherence . CONCLUSIONS Short message service and messaging applications , such as Micro Letter , are effective means of providing discharged patients with reminders and coronary artery disease-related health information . Implementation of a short message service + Micro Letter program can improve outpatient adherence to medication . RELEVANCE TO CLINICAL PRACTICE This research offers useful information to help medical staff design effective interventions to improve medication compliance among coronary artery disease patients 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 , r and omized controlled trial adults ( n = 171 ) with IHD were r and omized 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 clinical ly stable as out patients , able to perform exercise , able to underst and 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 aim ed 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 Background : The CardioFit internet-based expert system was design ed to promote physical activity in patients with coronary heart disease ( CHD ) who were not participating in cardiac rehabilitation . Design : This r and omized controlled trial compared CardioFit to usual care to assess its effects on physical activity following hospitalization for acute coronary syndromes . Methods : A total of 223 participants were recruited at the University of Ottawa Heart Institute or London Health Sciences Centre and r and omly assigned to either  CardioFit  ( n = 115 ) or  usual care ( n = 108 ) . The CardioFit group received a personally tailored physical-activity plan upon discharge from the hospital and access to a secure website for activity planning and tracking . They completed five online tutorials over a 6-month period and were in email contact with an exercise specialist . Usual care consisted of physical activity guidance from an attending cardiologist .  Physical activity was measured by pedometer and self-reported over a 7-day period , 6 and 12 months after r and omization . Results : The CardioFit internet-based physical activity expert system significantly increased objective ly measured ( p = 0.023 ) and self-reported physical activity ( p = 0.047 ) compared to usual care . Emotional ( p = 0.038 ) and physical ( p = 0.031 ) dimensions of heart disease health-related quality of life were also higher with CardioFit compared to usual care . Conclusions : Patients with CHD using an internet-based activity prescription with online coaching were more physically active at follow up than those receiving usual care . Use of the CardioFit program could extend the reach of rehabilitation and secondary -prevention services Objective To investigate whether an internet based , nurse led vascular risk factor management programme promoting self management on top of usual care is more effective than usual care alone in reducing vascular risk factors in patients with clinical ly manifest vascular disease . Design Prospect i ve r and omised controlled trial . Setting Multicentre trial in secondary and tertiary healthcare setting . Participants 330 patients with a recent clinical manifestation of atherosclerosis in the coronary , cerebral , or peripheral arteries and with at least two treatable risk factors not at goal . Intervention Personalised website with an overview and actual status of patients ’ risk factors and mail communication via the website with a nurse practitioner for 12 months ; the intervention combined self management support , monitoring of disease control , and drug treatment . Main outcome measures The primary endpoint was the relative change in Framingham heart risk score after 1 year . Secondary endpoints were absolute changes in the levels of risk factors and the differences between groups in the change in proportion of patients reaching treatment goals for each risk factor . Results Participants ’ mean age was 59.9 ( SD 8.4 ) years , and most patients ( n=246 ; 75 % ) were male . After 1 year , the relative change in Framingham heart risk score of the intervention group compared with the usual care group was −14 % ( 95 % confidence interval −25 % to −2 % ) . At baseline , the Framingham heart risk score was higher in the intervention group than in the usual care group ( 16.1 ( SD 10.6 ) v 14.0 ( 10.5 ) ) , so the outcome was adjusted for the separate variables of the Framingham heart risk score and for the baseline Framingham heart risk score . This produced a relative change of −12 % ( −22 % to −3 % ) in Framingham heart risk score for the intervention group compared with the usual care group adjusted for the separate variables of the score and −8 % ( −18 % to 2 % ) adjusted for the baseline score . Of the individual risk factors , a difference between groups was observed in low density lipoprotein cholesterol ( −0.3 , −0.5 to −0.1 , mmol/L ) and smoking ( −7.7 % , −14.9 % to −0.4 % ) . Some other risk factors tended to improve ( body mass index , triglycerides , systolic blood pressure , renal function ) or tended to worsen ( glucose concentration , albuminuria ) . Conclusion An internet based , nurse led treatment programme on top of usual care for vascular risk factors had a small effect on lowering vascular risk and on lowering of some vascular risk factors in patients with vascular disease . Trial registration Clinical trials NCT00785031 Background The purpose of this study was to evaluate the effect of a physical activity telemonitoring program on daily physical activity level , oxygen uptake capacity ( VO2peak ) , and cardiovascular risk profile in coronary artery disease ( CAD ) patients who completed phase II cardiac rehabilitation ( CR ) . Methods Eighty CAD patients who completed phase II CR were r and omly assigned to an additional telemonitoring intervention or st and ard CR . The patients in the intervention group ( n = 40 ) wore a motion sensor continuously for 18 weeks . Each week these patients received a step count goal , with the aim to gradually increase the patients ’ physical activity level . In the control group ( n = 40 ) , the patients wore an unreadable motion sensor for seven days for measurement purpose s only ( at start of follow-up , and after six and 18 weeks ) . At start of follow-up and after 18 weeks blood lipid profile , glycemic control , waist circumference and body mass index was assessed . VO2peak was assessed at start of follow-up , and after six and 18 weeks . Re-hospitalisation rate was followed during this timeframe . Results In the intervention group , VO2peak increased significantly during follow-up ( P = 0.001 ) , in the control group it did not ( P = 0.273 ) . A significant correlation was found between daily aerobic step count and improvement in VO2peak ( P = 0.030 , r = 0.47 ) . Kaplan-Meier curve analysis showed a trend towards fewer re-hospitalisations for patients in the telemonitoring group ( P = 0.09 ) . Conclusions The study showed that , to maintain exercise tolerance and lower re-hospitalisation rate after hospital-based CR in CAD patients , a physical activity telemonitoring program might be an effective intervention 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 
    Output:
    