***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: 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 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 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 −0.02 ( 95 % confidence interval −0.23 to 0.19 ) ; KASE-AQ score : mean change −4.4 v −2.4 , mean difference 2.0 ( −0.3 to 4.2 ) ) . The numbers of patients who had acute exacerbations , steroid courses , and unscheduled consultations were similar in both groups , with similar healthcare costs . Overall , the mobile phone service was more expensive because of the expenses of telemonitoring . Conclusions Mobile technology does not improve asthma control or increase self efficacy compared with paper based monitoring when both groups received clinical care to guidelines st and ards . The mobile technology was not cost effective . Trial registration Clinical Trials NCT00512837 Numerous diabetes-management systems and programs for improving glycemic control to meet guideline targets have been proposed , using IT technology . But all of them allow only limited-or no-real-time interaction between patients and the system in terms of system response to patient input ; few studies have effectively assessed the systems ' usability and feasibility to determine how well patients underst and and can adopt the technology involved . DialBetics is composed of 4 modules : ( 1 ) data transmission module , ( 2 ) evaluation module , ( 3 ) communication module , and ( 4 ) dietary evaluation module . A 3-month r and omized study was design ed to assess the safety and usability of a remote health- data monitoring system , and especially its impact on modifying patient lifestyles to improve diabetes self-management and , thus , clinical outcomes .  Fifty-four type 2 diabetes patients were r and omly divided into 2 groups , 27 in the DialBetics group and 27 in the non-DialBetics control group .  HbA1c and fasting blood sugar ( FBS ) values declined significantly in the DialBetics group : HbA1c decreased an average of 0.4 % ( from 7.1 ± 1.0 % to 6.7 ± 0.7 % ) compared with an average increase of 0.1 % in the non-DialBetics group ( from 7.0 ± 0.9 % to 7.1 ± 1.1 % ) ( P = .015 ) ; The DialBetics group FBS decreased an average of 5.5 mg/dl compared with a non-DialBetics group average increase of 16.9 mg/dl ( P = .019 ) . BMI improvement-although not statistically significant because of the small sample size-was greater in the DialBetics group . DialBetics was shown to be a feasible and an effective tool for improving HbA1c by providing patients with real-time support based on their measurements and inputs Objective Cardiac rehabilitation ( CR ) is pivotal in preventing recurring events of myocardial infa rct ion ( MI ) . This study aims to investigate the effect of a smartphone-based home service delivery ( Care Assessment Platform ) of CR ( CAP-CR ) on  CR  use and health outcomes compared with a traditional , centre-based programme ( TCR ) in post-MI patients . Methods In this unblinded r and omised controlled trial , post-MI patients were r and omised to TCR ( n=60 ; 55.7±10.4 years ) and CAP-CR ( n=60 ; 55.5±9.6 years ) for a 6-week CR and 6-month self-maintenance period . CAP-CR , delivered in participants ’ homes , included health and exercise monitoring , motivational and educational material delivery , and weekly mentoring consultations . CAP-CR uptake , adherence and completion rates were compared with TCR using intention-to-treat analyses . Changes in clinical outcomes ( modifiable lifestyle factors , biomedical risk factors and health-related quality of life ) across baseline , 6 weeks and 6 months were compared within , and between , groups using linear mixed model regression . Results CAP-CR had significantly higher uptake ( 80 % vs 62 % ) , adherence ( 94 % vs 68 % ) and completion ( 80 % vs 47 % ) rates than TCR ( p<0.05 ) . Both groups showed significant improvements in 6-minute walk test from baseline to 6 weeks ( TCR : 537±86–584±99 m ; CAP-CR : 510±77–570±80 m ) , which was maintained at 6 months . CAP-CR  showed slight weight reduction ( 89±20–88±21 kg ) and also demonstrated significant improvements in emotional state ( K10 : median ( IQR ) 14.6 ( 13.4–16.0 ) to 12.6 ( 11.5–13.8 ) ) , and quality of life ( EQ5D-Index : median ( IQR ) 0.84 ( 0.8–0.9 ) to 0.92 ( 0.9–1.0 ) ) at 6 weeks . Conclusions This smartphone-based home care CR programme improved post-MI CR uptake , adherence and completion . The home-based CR programme was as effective in improving physiological and psychological health outcomes  as traditional CR . CAP-CR is a viable option towards optimising use of CR services . Trial registration number ANZCTR12609000251224 Background Self-management is crucial in the daily management of type 2 diabetes . It has been suggested that mHealth may be an important method for enhancing self-management when delivered in combination with health counseling . Objective The objective of this study was to test whether the use of a mobile phone – based self-management system used for 1 year , with or without telephone health counseling by a diabetes specialist nurse for the first 4 months , could improve glycated hemoglobin A1c ( HbA1c ) level , self-management , and health-related quality of life compared with usual care . Methods We conducted a 3-arm prospect i ve r and omized controlled trial involving 2 intervention groups and 1 control group . Eligible participants were persons with type 2 diabetes with an HbA1c level ≥7.1 % ( ≥54.1 mmol/mol ) and aged ≥18 years . Both intervention groups received the mobile phone – based self-management system Few Touch Application ( FTA ) . The FTA consisted of a blood glucose – measuring system with automatic wireless data transfer , diet manual , physical activity registration , and management of personal goals , all recorded and operated using a diabetes diary app on the mobile phone . In addition , one intervention group received health counseling based on behavior change theory and delivered by a diabetes specialist nurse for the first 4 months after r and omization . All groups received usual care by their general practitioner . The primary outcome was HbA1c level . Secondary outcomes were self-management ( heiQ ) , health-related quality of life ( SF-36 ) , depressive symptoms ( CES-D ) , and lifestyle changes ( dietary habits and physical activity ) . Data were analyzed using univariate methods ( t test , ANOVA ) and multivariate linear and logistic regression . Results A total of 151 participants were r and omized : 51 to the FTA group , 50 to the FTA-health counseling ( FTA-HC )  group , and 50 to the  control group . Follow-up data after 1 year were available for 120 participants ( 79 % ) . HbA1c level decreased in all groups , but did not differ between groups after 1 year . The mean change in the heiQ domain skills and technique acquisition was significantly greater in the FTA-HC group after adjusting for age , gender , and education ( P=.04 ) . Other secondary outcomes did not differ between groups after 1 year . In the FTA group , 39 % were substantial users of the app ; 34 % of the FTA-HC group were substantial users . Those aged ≥63 years used the app more than their younger counterparts did ( OR 2.7 ; 95 % CI 1.02 - 7.12 ; P=.045 ) . Conclusions The change in HbA1c level did not differ between groups after the 1-year intervention . Secondary outcomes did not differ between groups except for an increase in the self-management domain of skill and technique acquisition in the FTA-HC group . Older participants used the app more than the younger participants did Background Persistently poor glycemic control in adult type 1 diabetes patients is a common , complex , and serious problem initiating significant damage to the cardiovascular , renal , neural , and visual systems . Currently , there is a plethora of low-cost and free diabetes self-management smartphone applications available in online stores . Objective The aim of this study was to examine the effectiveness of a freely available smartphone application combined with text-message feedback from a certified diabetes educator to improve 
    Output:
    
CONCLUSIONS The evidence indicates the potential of apps in improving symptom management through self-management interventions .
The use of apps in mHealth has the potential to improve health outcomes among those living with chronic diseases through enhanced symptom control .