***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: Being able to manage and adjust insulin doses is a key part of managing type-1 diabetes . Children and adolescents with type-1 diabetes mellitus often have serious difficulties with this dosage adjustment . Therefore , this paper aims to investigate the impact of using novel mobile , web and communication technologies in assisting their therapy and treatment . A trial was conducted in the north-eastern part of Germany to evaluate the impact of the “ Mobil Diab ” , a mobile diabetes management system , on the clinical outcome . 68 subjects aged between 8 and 18 years , divided r and omly into control and intervention groups , were included into the study . Metrics such as changes in the quality of metabolic control , changes in psychological parameters , usability and acceptance of the technology were used for evaluation purpose . Metabolic control was mainly assessed by the mean HbAlc . Analysis showed a good acceptance of the proposed system . An overall improvement in mean levels of HbA1c was observed , however further studies will be conducted to prove evidence of the weight and BMI improvements . Moreover , initial indications of positive impact on the improvement in psychological parameters were presumed based on the result of the conducted study . The system appeared to be an efficient and time saving tool in diabetes management 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 Widespread use of carbohydrate counting is limited by its complex education . In this study we compared a Diabetes Interactive Diary ( DID ) with st and ard carbohydrate counting in terms of metabolic and weight control , time required for education , quality of life , and treatment satisfaction . RESEARCH DESIGN AND METHODS Adults with type 1 diabetes were r and omly assigned to DID ( group A , n = 67 ) or st and ard education ( group B , n = 63 ) and followed for 6 months . A subgroup also completed the  SF-36 Health Survey ( SF-36 ) and World Health Organization-Diabetes Treatment Satisfaction Question naire ( WHO-DTSQ ) at each visit . RESULTS Of 130 patients ( aged 35.7 ± 9.4 years ; diabetes duration 16.5 ± 10.5 years ) , 11 dropped out .  Time for education was 6 h ( range 2–15 h ) in group A and 12 h ( 2.5–25 h ) in group B ( P = 0.07 ) . A1C reduction was similar in both groups ( group A from 8.2 ± 0.8 to 7.8 ± 0.8 % and group B from 8.4 ± 0.7 to 7.9 ± 1.1 % ; P = 0.68 ) . Nonsignificant differences in favor of group A were documented for fasting blood glucose and body weight . No severe hypoglycemic episode occurred . WHO-DTSQ scores increased significantly more in group A ( from 26.7 ± 4.4 to 30.3 ± 4.5 ) than in group B ( from 27.5 ± 4.8 to 28.6 ± 5.1 ) ( P = 0.04 ) . Role Physical , General Health , Vitality , and Role Emotional SF-36 scores improved significantly more in group A than in group B. CONCLUSIONS DID is at least as effective as traditional carbohydrate counting education , allowing dietary freedom for a larger proportion of type 1 diabetic patients . DID is safe , requires less time for education , and is associated with lower weight gain . DID significantly improved treatment satisfaction and several quality -of-life dimensions Abstract Background : Overseeing proper insulin initiation and titration remains a challenging task in diabetes care . Recent advances in mobile technology have enabled new models of collaborative care between patients and healthcare providers ( HCPs ) . We hypothesized that the adoption of such technology could help individuals starting basal insulin achieve better glycemic control compared with st and ard clinical practice . Material s and Methods : This was a 12 ± 2-week r and omized controlled study with 40 individuals with type 2 diabetes who were starting basal insulin due to poor glycemic control . The control group ( n = 20 ) received st and ard face-to-face care and phone follow-up as needed in a tertiary center , whereas the intervention group ( n = 20 ) received care through the cloud-based diabetes management program where regular communications about glycemic control and insulin doses were conducted via patient self-tracking tools , shared decision-making interfaces , secure text messages , and virtual visits ( audio , video , and shared screen control ) instead of office visits . Results : By intention-to-treat analysis , the intervention group achieved a greater hemoglobin A1c decline compared with the control group ( 3.2 ± 1.5 % vs. 2.0 % ± 2.0 % ; P = 0.048 ) . The Diabetes Treatment Satisfaction Question naire showed a significant improvement in the intervention group compared with the control group ( an increase of 10.1 ± 11.7 vs. 2.1 ± 6.5 points ; P = 0.01 ) . HCPs spent less time with patients in the intervention group compared with those in the control group ( 65.9 min per subject vs. 81.6 min per subject ) . However , the intervention group required additional training time to use the mobile device . Conclusions : Mobile health technology could be an effective tool in sharing data , enhancing communication , and improving glycemic control while enabling collaborative decision making in diabetes care 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 Self-management support for people with type 2 diabetes is essential in diabetes care . Thus , mobile health technology with or without low-intensity theory-based health counseling could become an important tool for promoting self-management . Objectives The aim was to evaluate whether the introduction of technology-supported self-management using the Few Touch Application ( FTA ) diabetes diary with or without health counseling improved glycated hemoglobin ( HbA1c ) levels , self-management , behavioral change , and health-related quality of life , and to describe the sociodemographic , clinical , and lifestyle characteristics of the participants after 4 months . Methods A 3-armed r and omized controlled trial was conducted in Norway during 2011 - 2013 . In the 2 intervention groups , participants were given a mobile phone for 1 year , which provided access to the FTA diary , a self-help tool that recorded 5 elements : blood glucose , food habits , physical activity , personal goal setting , and a look-up system for diabetes information . One of the intervention groups was also offered theory-based health counseling with a specialist diabetes nurse by telephone for 4 months from baseline . Both intervention groups and the  control group were provided usual care according to the national guidelines . Adults with type 2 diabetes and HbA1c ≥7.1 % were included ( N=151 ) . There were 3 assessment points : baseline , 4 months , and 1 year . We report the short-term findings after 4 months . HbA1c was the primary outcome and the secondary outcomes were self-management ( Health Education Impact Question naire , heiQ ) , behavioral change ( diet and physical activity ) , and health-related quality of life ( SF-36 question naire ) . The data were analyzed using univariate methods ( ANOVA ) , multivariate linear , and logistic regression . Results Data were analyzed from 124 individuals ( attrition rate was 18 % ) . The groups were well balanced at baseline . There were no differences in HbA1c between groups after 4 months , but there was a decline in all groups . There were changes in self-management measured using the health service navigation item in the heiQ , with improvements in the FTA group compared to the control group ( P=.01 ) and in the FTA with health counseling group compared with both other groups ( P=.04 ) . This may indicate an improvement in the ability of patients to communicate health needs to their health care providers . Furthermore , the FTA group reported higher scores for skill and technique acquisition at relieving symptoms compared to the control group ( P=.02 ) . There were no significant changes in any of the domains of the SF-36 . Conclusions The primary outcome , HbA1c , did not differ between groups after 4 months . Both of the intervention groups had significantly better scores than the control group for health service navigation and the FTA group also exhibited improved skill and technique acquisition Background : Obesity increases the risk of many health complications such as hypertension , coronary heart disease and type 2 diabetes , needs long-lasting treatment for effective results and involves high public and private care-costs . Therefore , it is imperative that enduring and low-cost clinical programs for obesity and related co-morbidities are developed and evaluated . Information and communication technologies ( ICT ) can help clinicians to deliver treatment in a cost-effective and time-saving manner to a large number of obese individuals with co-morbidities . Objective : To examine ad interim effectiveness of a 12-month multidisciplinary telecare intervention for weight loss provided to obese patients with type 2 diabetes . Design , Setting , and Participants : A single-center r and omized controlled trial ( TECNOB study ) started in December 2008 . At present , 72 obese patients with type 2 
    Output:
    
The use of apps by diabetic patients could help improve the control of HbA1c .
In addition , the apps seem to strengthen the perception of self-care by contributing better information and health education to patients .
Patients also become more self-confident to deal with their diabetes , mainly by reducing their fear of not knowing how to deal with potential hypoglycemic episodes that may occur