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 To assess Sweet Talk , a text-messaging support system design ed to enhance self-efficacy , facilitate uptake of intensive insulin therapy and improve glycaemic control in paediatric patients with Type 1 diabetes . METHODS One hundred and twenty-six patients fulfilled the eligibility criteria ; Type 1 diabetes for > 1 year , on conventional insulin therapy , aged 8 - 18 years . Ninety-two patients were r and omized to conventional insulin therapy  ( n = 28 ) , conventional therapy and Sweet Talk ( n = 33 ) or  intensive insulin therapy and Sweet Talk ( n = 31 ) . Goal - setting at clinic visits was reinforced by daily text-messages from the Sweet Talk software system , containing personalized goal -specific prompts and messages tailored to patients ' age , sex and insulin regimen . RESULTS HbA(1c ) did not change in patients on conventional therapy without or with Sweet Talk ( 10.3 + /- 1.7 vs. 10.1 + /- 1.7 % ) , but improved in patients r and omized to intensive therapy and Sweet Talk ( 9.2 + /- 2.2 % , 95 % CI -1.9 , -0.5 , P < 0.001 ) . Sweet Talk was associated with improvement in diabetes self-efficacy  ( conventional therapy 56.0 + /- 13.7 , conventional therapy plus Sweet Talk 62.1 + /- 6.6 , 95 % CI + 2.6 , + 7.5 , P = 0.003 ) and self-reported adherence  ( conventional therapy 70.4 + /- 20.0 , conventional therapy plus Sweet Talk 77.2 + /- 16.1 , 95 % CI + 0.4 , + 17.4 , P = 0.042 ) . When surveyed , 82 % of patients felt that Sweet Talk had improved their diabetes self-management and 90 % wanted to continue receiving messages . CONCLUSIONS Sweet Talk was associated with improved self-efficacy and adherence ; engaging a classically difficult to reach group of young people . While Sweet Talk alone did not improve glycaemic control , it may have had a role in supporting the introduction of intensive insulin therapy . Scheduled , tailored text messaging offers an innovative means of supporting adolescents with diabetes and could be adapted for other health-care setting s and chronic diseases Lowering blood pressure reduces cardiovascular risk , yet hypertension is poorly controlled in diabetic patients . In a pilot study we demonstrated that a home blood pressure telemonitoring system , which provided self-care messages on the smartphone of hypertensive diabetic patients immediately after each reading , improved blood pressure control . Messages were based on care paths defined by running averages of transmitted readings . The present study tests the system 's effectiveness in a r and omized , controlled trial in diabetic patients with uncontrolled systolic hypertension . Of 244 subjects screened for eligibility , 110 ( 45 % ) were r and omly allocated to the intervention ( n=55 ) or control ( n=55 ) group , and 105 ( 95.5 % ) completed the 1-year outcome visit . In the intention-to-treat analysis , mean daytime ambulatory systolic blood pressure , the primary end point , decreased significantly only in the intervention group by 9.1±15.6 mmHg ( SD ; P<0.0001 ) , and the mean between-group difference was 7.1±2.3 mmHg ( SE ; P<0.005 ) . Furthermore , 51 % of intervention subjects achieved the guideline recommended target of < 130/80 mmHg compared with 31 % of control subjects ( P<0.05 ) . These improvements were obtained without the use of more or different antihypertensive medications or additional clinic visits to physicians . Providing self-care support did not affect anxiety but worsened depression on the Hospital Anxiety and Depression Scale ( baseline , 4.1±3.76 ; exit , 5.2±4.30 ; P=0.014 ) . This study demonstrated that home blood pressure telemonitoring combined with automated self-care support reduced the blood pressure of diabetic patients with uncontrolled systolic hypertension  and improved hypertension control . Home blood pressure monitoring alone had no effect on blood pressure . Promoting patient self-care may have negative psychological effects OBJECTIVE To test whether adding mobile application coaching and patient/provider web portals to community primary care compared with st and ard diabetes management would reduce glycated hemoglobin levels in patients with type 2 diabetes . RESEARCH DESIGN AND METHODS A cluster-r and omized clinical trial , the Mobile Diabetes Intervention Study , r and omly assigned 26 primary care practice s to one of three stepped treatment groups or a control group ( usual care ) . A total of 163 patients were enrolled and included in analysis . The primary outcome was change in glycated hemoglobin levels over a 1-year treatment period . Secondary outcomes were changes in patient-reported diabetes symptoms , diabetes distress , depression , and other clinical ( blood pressure ) and laboratory ( lipid ) values . Maximal treatment was a mobile- and web-based self-management patient coaching system and provider decision support . Patients received automated , real-time educational and behavioral messaging in response to individually analyzed blood glucose values , diabetes medications , and lifestyle behaviors communicated by mobile phone . Providers received quarterly reports summarizing patient ’s glycemic control , diabetes medication management , lifestyle behaviors , and evidence -based treatment options . RESULTS The mean declines in glycated hemoglobin were 1.9 % in the maximal treatment group and 0.7 % in the usual care group , a difference of 1.2 % ( P = 0.001 ) over 12 months . Appreciable differences were not observed between groups for patient-reported diabetes distress , depression , diabetes symptoms , or blood pressure and lipid levels ( all P > 0.05 ) . CONCLUSIONS The combination of behavioral mobile coaching with blood glucose data , lifestyle behaviors , and patient self-management data individually analyzed and presented with evidence -based guidelines to providers substantially reduced glycated hemoglobin levels over 1 year Objective To determine the feasibility and efficacy of a six-month , cell phone-based exercise persistence intervention for patients with chronic obstructive pulmonary disease ( COPD ) following pulmonary rehabilitation . Methods Participants who completed a two-week run-in were r and omly assigned to either MOBILE-Coached  ( n = 9 ) or MOBILE-Self-Monitored  ( n = 8) . All participants met with a nurse to develop an individualized exercise plan , were issued a pedometer and exercise booklet , and instructed to continue to log their daily exercise and symptoms . MOBILE-Coached also received weekly reinforcement text messages on their cell phones ; reports of worsening symptoms were automatically flagged for follow-up . Usability and satisfaction were assessed . Participants completed incremental cycle and six minute walk ( 6MW ) tests , wore an activity monitor for 14 days , and reported their health-related quality of life ( HRQL ) at baseline , three , and six months . Results The sample had a mean age of 68 ±11 and forced expiratory volume in one second 18 % predicted . Participants reported that logging their exercise and symptoms ( FEV1 ) of 40 ± was easy and that keeping track of their exercise helped them remain active . There were no differences between groups over time in maximal workload , 6MW distance , or HRQL ( p > 0.05 ) ; however , MOBILE-Self-Monitored increased total steps/day whereas MOBILE-Coached logged fewer steps over six months ( p = 0.04 ) . Conclusions We showed that it is feasible to deliver a cell phone-based exercise persistence intervention to patients with COPD post-rehabilitation and that the addition of coaching appeared to be no better than self-monitoring . The latter finding needs to be interpreted with caution since this was a purely exploratory study . Trial registration Clinical Trials.gov ( NCT00373932 ) OBJECTIVE To improve quality and efficiency of care for elderly patients with type 2 diabetes , we introduced elderly-friendly strategies to the clinical decision support system (CDSS)-based ubiquitous healthcare ( u-healthcare ) service , which is an individualized health management system using advanced medical information technology . RESEARCH DESIGN AND METHODS We conducted a 6-month r and omized , controlled clinical trial involving 144 patients aged > 60 years . Participants were r and omly assigned to receive routine care ( control , n = 48 ) , to the self-monitored blood glucose ( SMBG  , n = 47 ) group , or to the u-healthcare group ( n = 49 ) . The primary end point was the proportion of patients achieving A1C < 7 % without hypoglycemia at 6 months . U-healthcare system refers to an individualized medical service in which medical instructions are given through the patient ’s mobile phone . Patients receive a glucometer with a public switched telephone network-connected cradle that automatically transfers test results to a hospital-based server . Once the data are transferred to the server , an automated system , the CDSS rule engine , generates and sends patient-specific messages by mobile phone . RESULTS After 6 months of follow-up , the mean A1C level was significantly decreased from 7.8 ± 1.3 % to 7.4 ± 1.0 % ( P < 0.001 ) in the u-healthcare group and from 7.9 ± 1.0 % to 7.7 ± 1.0 % ( P = 0.020 ) in the SMBG group , compared with 7.9 ± 0.8 % to 7.8 ± 1.0 % ( P = 0.274 ) in the control group . The proportion of patients with A1C < 7 % without hypoglycemia was 30.6 % in the u-healthcare group , 23.4 % in the SMBG group ( 23.4 % ) , and 14.0 % in the control group ( P < 0.05 ) . CONCLUSIONS The CDSS-based u-healthcare service achieved better glycemic control with less hypoglycemia than SMBG and routine care and may provide effective and safe diabetes management in the elderly diabetic patients AIM To compare the effectiveness of two methods of follow-up : short message service and telephone follow-up on type 2 diabetes adherence for three months . BACKGROUND Using telemedicine approaches may preserve appropriate blood glucose levels and may improve adherence to diabetes control recommendations in diabetic patients . DESIGN A quasi-experimental , two-group , pretest and post-test design was used in this study to evaluate the effectiveness of nurse 's follow-up via cellular phones and telephones . METHODS The sample consisted of 77 patients with type 2 diabetes that r and omly were assigned to two groups : telephone follow-up ( n = 39 ) and short message service ( n = 38 ) . Telephone interventions were applied by a research er for three months ; twice a week for the first month and every week for the second and third month . For three successive months , the short message service group that received messages about adherence to therapeutic regimen was examined . The data gathering instrument included data sheets - to record glycosylated haemoglobin - and the question naire related to adherence therapeutic regimen . Data gathering was carried out at the beginning of the study and after three and six months . The data were analysed using descriptive and inferential statistic methods with SPSS version 11.5 . RESULTS Results showed that both interventions had significant mean changes in glycosylated haemoglobin . For the telephone group ( p < 0.001 ) , a mean change of -0.93 and for the short message service group ( p < 0.001 ) , a mean change of -1.01 . There was no significant difference in diet adherence ( p = 0.000 ) , physical exercise ( p = 0.000 ) and medication taking ( p = 0.000 ) adherence in either groups . CONCLUSION Intervention using short message services of cellular phones and nurse-led-telephone follow-up improved HbA1c levels and adherence to diabetes therapeutic regimen for three months in type 2 diabetic patients . RELEVANCE TO CLINICAL PRACTICE Both of follow-up intervention uses in this study can decrease HbA1c levels and escalate adherence to diabetes control recommendations in people with type 2 diabetes for three months Objective To determine whether mobile phone based monitoring improves asthma control compared with st and ard paper based monitoring strategies . Design Multicentre r and omised controlled trial with cost effectiveness analysis . Setting UK primary care . Participants 288 adolescents and adults with poorly controlled asthma ( asthma control question naire ( ACQ ) score ≥1.5 ) from 32 practice s. Intervention Participants were central ly r and omised to twice daily recording and mobile phone based transmission of symptoms , drug use , and peak flow with immediate feedback prompting action according to an agreed plan or paper based monitoring . Main outcome measures Changes in scores on asthma control question naire and self efficacy ( knowledge , attitude , and self efficacy asthma question naire ( KASE-AQ ) ) at six months after r and omisation . Assessment of outcomes was blinded . Analysis was on an intention to treat basis . Results There was no significant difference in the change in asthma control or self efficacy between the two groups ( ACQ : mean change 0.75 in mobile group v 0.73 in paper group , mean difference in change 
    Output:
    
agent
There is potential for mHealth tools to better facilitate adherence to chronic disease management , but the evidence supporting its current effectiveness is mixed .
***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 To assess Sweet Talk , a text-messaging support system design ed to enhance self-efficacy , facilitate uptake of intensive insulin therapy and improve glycaemic control in paediatric patients with Type 1 diabetes . METHODS One hundred and twenty-six patients fulfilled the eligibility criteria ; Type 1 diabetes for > 1 year , on conventional insulin therapy , aged 8 - 18 years . Ninety-two patients were r and omized to conventional insulin therapy  ( n = 28 ) , conventional therapy and Sweet Talk ( n = 33 ) or  intensive insulin therapy and Sweet Talk ( n = 31 ) . Goal - setting at clinic visits was reinforced by daily text-messages from the Sweet Talk software system , containing personalized goal -specific prompts and messages tailored to patients ' age , sex and insulin regimen . RESULTS HbA(1c ) did not change in patients on conventional therapy without or with Sweet Talk ( 10.3 + /- 1.7 vs. 10.1 + /- 1.7 % ) , but improved in patients r and omized to intensive therapy and Sweet Talk ( 9.2 + /- 2.2 % , 95 % CI -1.9 , -0.5 , P < 0.001 ) . Sweet Talk was associated with improvement in diabetes self-efficacy  ( conventional therapy 56.0 + /- 13.7 , conventional therapy plus Sweet Talk 62.1 + /- 6.6 , 95 % CI + 2.6 , + 7.5 , P = 0.003 ) and self-reported adherence  ( conventional therapy 70.4 + /- 20.0 , conventional therapy plus Sweet Talk 77.2 + /- 16.1 , 95 % CI + 0.4 , + 17.4 , P = 0.042 ) . When surveyed , 82 % of patients felt that Sweet Talk had improved their diabetes self-management and 90 % wanted to continue receiving messages . CONCLUSIONS Sweet Talk was associated with improved self-efficacy and adherence ; engaging a classically difficult to reach group of young people . While Sweet Talk alone did not improve glycaemic control , it may have had a role in supporting the introduction of intensive insulin therapy . Scheduled , tailored text messaging offers an innovative means of supporting adolescents with diabetes and could be adapted for other health-care setting s and chronic diseases Lowering blood pressure reduces cardiovascular risk , yet hypertension is poorly controlled in diabetic patients . In a pilot study we demonstrated that a home blood pressure telemonitoring system , which provided self-care messages on the smartphone of hypertensive diabetic patients immediately after each reading , improved blood pressure control . Messages were based on care paths defined by running averages of transmitted readings . The present study tests the system 's effectiveness in a r and omized , controlled trial in diabetic patients with uncontrolled systolic hypertension . Of 244 subjects screened for eligibility , 110 ( 45 % ) were r and omly allocated to the intervention ( n=55 ) or control ( n=55 ) group , and 105 ( 95.5 % ) completed the 1-year outcome visit . In the intention-to-treat analysis , mean daytime ambulatory systolic blood pressure , the primary end point , decreased significantly only in the intervention group by 9.1±15.6 mmHg ( SD ; P<0.0001 ) , and the mean between-group difference was 7.1±2.3 mmHg ( SE ; P<0.005 ) . Furthermore , 51 % of intervention subjects achieved the guideline recommended target of < 130/80 mmHg compared with 31 % of control subjects ( P<0.05 ) . These improvements were obtained without the use of more or different antihypertensive medications or additional clinic visits to physicians . Providing self-care support did not affect anxiety but worsened depression on the Hospital Anxiety and Depression Scale ( baseline , 4.1±3.76 ; exit , 5.2±4.30 ; P=0.014 ) . This study demonstrated that home blood pressure telemonitoring combined with automated self-care support reduced the blood pressure of diabetic patients with uncontrolled systolic hypertension  and improved hypertension control . Home blood pressure monitoring alone had no effect on blood pressure . Promoting patient self-care may have negative psychological effects OBJECTIVE To test whether adding mobile application coaching and patient/provider web portals to community primary care compared with st and ard diabetes management would reduce glycated hemoglobin levels in patients with type 2 diabetes . RESEARCH DESIGN AND METHODS A cluster-r and omized clinical trial , the Mobile Diabetes Intervention Study , r and omly assigned 26 primary care practice s to one of three stepped treatment groups or a control group ( usual care ) . A total of 163 patients were enrolled and included in analysis . The primary outcome was change in glycated hemoglobin levels over a 1-year treatment period . Secondary outcomes were changes in patient-reported diabetes symptoms , diabetes distress , depression , and other clinical ( blood pressure ) and laboratory ( lipid ) values . Maximal treatment was a mobile- and web-based self-management patient coaching system and provider decision support . Patients received automated , real-time educational and behavioral messaging in response to individually analyzed blood glucose values , diabetes medications , and lifestyle behaviors communicated by mobile phone . Providers received quarterly reports summarizing patient ’s glycemic control , diabetes medication management , lifestyle behaviors , and evidence -based treatment options . RESULTS The mean declines in glycated hemoglobin were 1.9 % in the maximal treatment group and 0.7 % in the usual care group , a difference of 1.2 % ( P = 0.001 ) over 12 months . Appreciable differences were not observed between groups for patient-reported diabetes distress , depression , diabetes symptoms , or blood pressure and lipid levels ( all P > 0.05 ) . CONCLUSIONS The combination of behavioral mobile coaching with blood glucose data , lifestyle behaviors , and patient self-management data individually analyzed and presented with evidence -based guidelines to providers substantially reduced glycated hemoglobin levels over 1 year Objective To determine the feasibility and efficacy of a six-month , cell phone-based exercise persistence intervention for patients with chronic obstructive pulmonary disease ( COPD ) following pulmonary rehabilitation . Methods Participants who completed a two-week run-in were r and omly assigned to either MOBILE-Coached  ( n = 9 ) or MOBILE-Self-Monitored  ( n = 8) . All participants met with a nurse to develop an individualized exercise plan , were issued a pedometer and exercise booklet , and instructed to continue to log their daily exercise and symptoms . MOBILE-Coached also received weekly reinforcement text messages on their cell phones ; reports of worsening symptoms were automatically flagged for follow-up . Usability and satisfaction were assessed . Participants completed incremental cycle and six minute walk ( 6MW ) tests , wore an activity monitor for 14 days , and reported their health-related quality of life ( HRQL ) at baseline , three , and six months . Results The sample had a mean age of 68 ±11 and forced expiratory volume in one second 18 % predicted . Participants reported that logging their exercise and symptoms ( FEV1 ) of 40 ± was easy and that keeping track of their exercise helped them remain active . There were no differences between groups over time in maximal workload , 6MW distance , or HRQL ( p > 0.05 ) ; however , MOBILE-Self-Monitored increased total steps/day whereas MOBILE-Coached logged fewer steps over six months ( p = 0.04 ) . Conclusions We showed that it is feasible to deliver a cell phone-based exercise persistence intervention to patients with COPD post-rehabilitation and that the addition of coaching appeared to be no better than self-monitoring . The latter finding needs to be interpreted with caution since this was a purely exploratory study . Trial registration Clinical Trials.gov ( NCT00373932 ) OBJECTIVE To improve quality and efficiency of care for elderly patients with type 2 diabetes , we introduced elderly-friendly strategies to the clinical decision support system (CDSS)-based ubiquitous healthcare ( u-healthcare ) service , which is an individualized health management system using advanced medical information technology . RESEARCH DESIGN AND METHODS We conducted a 6-month r and omized , controlled clinical trial involving 144 patients aged > 60 years . Participants were r and omly assigned to receive routine care ( control , n = 48 ) , to the self-monitored blood glucose ( SMBG  , n = 47 ) group , or to the u-healthcare group ( n = 49 ) . The primary end point was the proportion of patients achieving A1C < 7 % without hypoglycemia at 6 months . U-healthcare system refers to an individualized medical service in which medical instructions are given through the patient ’s mobile phone . Patients receive a glucometer with a public switched telephone network-connected cradle that automatically transfers test results to a hospital-based server . Once the data are transferred to the server , an automated system , the CDSS rule engine , generates and sends patient-specific messages by mobile phone . RESULTS After 6 months of follow-up , the mean A1C level was significantly decreased from 7.8 ± 1.3 % to 7.4 ± 1.0 % ( P < 0.001 ) in the u-healthcare group and from 7.9 ± 1.0 % to 7.7 ± 1.0 % ( P = 0.020 ) in the SMBG group , compared with 7.9 ± 0.8 % to 7.8 ± 1.0 % ( P = 0.274 ) in the control group . The proportion of patients with A1C < 7 % without hypoglycemia was 30.6 % in the u-healthcare group , 23.4 % in the SMBG group ( 23.4 % ) , and 14.0 % in the control group ( P < 0.05 ) . CONCLUSIONS The CDSS-based u-healthcare service achieved better glycemic control with less hypoglycemia than SMBG and routine care and may provide effective and safe diabetes management in the elderly diabetic patients AIM To compare the effectiveness of two methods of follow-up : short message service and telephone follow-up on type 2 diabetes adherence for three months . BACKGROUND Using telemedicine approaches may preserve appropriate blood glucose levels and may improve adherence to diabetes control recommendations in diabetic patients . DESIGN A quasi-experimental , two-group , pretest and post-test design was used in this study to evaluate the effectiveness of nurse 's follow-up via cellular phones and telephones . METHODS The sample consisted of 77 patients with type 2 diabetes that r and omly were assigned to two groups : telephone follow-up ( n = 39 ) and short message service ( n = 38 ) . Telephone interventions were applied by a research er for three months ; twice a week for the first month and every week for the second and third month . For three successive months , the short message service group that received messages about adherence to therapeutic regimen was examined . The data gathering instrument included data sheets - to record glycosylated haemoglobin - and the question naire related to adherence therapeutic regimen . Data gathering was carried out at the beginning of the study and after three and six months . The data were analysed using descriptive and inferential statistic methods with SPSS version 11.5 . RESULTS Results showed that both interventions had significant mean changes in glycosylated haemoglobin . For the telephone group ( p < 0.001 ) , a mean change of -0.93 and for the short message service group ( p < 0.001 ) , a mean change of -1.01 . There was no significant difference in diet adherence ( p = 0.000 ) , physical exercise ( p = 0.000 ) and medication taking ( p = 0.000 ) adherence in either groups . CONCLUSION Intervention using short message services of cellular phones and nurse-led-telephone follow-up improved HbA1c levels and adherence to diabetes therapeutic regimen for three months in type 2 diabetic patients . RELEVANCE TO CLINICAL PRACTICE Both of follow-up intervention uses in this study can decrease HbA1c levels and escalate adherence to diabetes control recommendations in people with type 2 diabetes for three months Objective To determine whether mobile phone based monitoring improves asthma control compared with st and ard paper based monitoring strategies . Design Multicentre r and omised controlled trial with cost effectiveness analysis . Setting UK primary care . Participants 288 adolescents and adults with poorly controlled asthma ( asthma control question naire ( ACQ ) score ≥1.5 ) from 32 practice s. Intervention Participants were central ly r and omised to twice daily recording and mobile phone based transmission of symptoms , drug use , and peak flow with immediate feedback prompting action according to an agreed plan or paper based monitoring . Main outcome measures Changes in scores on asthma control question naire and self efficacy ( knowledge , attitude , and self efficacy asthma question naire ( KASE-AQ ) ) at six months after r and omisation . Assessment of outcomes was blinded . Analysis was on an intention to treat basis . Results There was no significant difference in the change in asthma control or self efficacy between the two groups ( ACQ : mean change 0.75 in mobile group v 0.73 in paper group , mean difference in change 
    Output:
    