***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 Background Numerous mobile applications have been developed to support diabetes-self-management . However , the majority of these applications lack a theoretical foundation and the involvement of people with diabetes during development . The aim of this study was to develop and test a mobile application ( app ) supporting diabetes self-management among people with newly diagnosed type 2 diabetes using design thinking . Methods The app was developed and tested in 2015 using a design -based research approach involving target users ( individuals newly diagnosed with type 2 diabetes ) , research scientists , healthcare professionals , design ers , and app developers . The research approach comprised three major phases : inspiration , ideation , and implementation . The first phase included observations of diabetes education and 12 in-depth interviews with users regarding challenges and needs related to living with diabetes . The ideation phrase consisted of four interactive workshops with users focusing on app needs , in which ideas were developed and prioritized . Finally , 14 users tested the app over 4 weeks ; they were interviewed about usability and perceptions about the app as a support tool . Results A multifunctional app was useful for people with newly diagnosed type 2 diabetes . The final app comprised five major functions : overview of diabetes activities after diagnosis , recording of health data , reflection games and goal setting , knowledge games and recording of psychological data such as sleep , fatigue , and well-being . Users found the app to be a valuable tool for support , particularly for raising their awareness about their psychological health and for informing and guiding them through the healthcare system after diagnosis . Conclusions The design thinking processes used in the development and implementation of the mobile health app were crucial to creating value for users . More attention should be paid to the training of professionals who introduce health apps . Trial registration : Danish Data Protection Agency : 2012 - 58 - 0004 . Registered 6 February 2016 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 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 The dem and for new healthcare services is growing rapidly . Improving accessibility of the African population to diabetes care seems to be a big challenge in most countries where the number of care centers and medical staff is reduced . Information and communication technologies ( ICT ) have great potential to address some of these challenges faced by several countries in providing accessible , cost-effective , and high- quality health care services . This paper presents the Mobil Diab system which is a telemedical approach proposed for the management of long-term diseases . The system applies modern mobile and web technologies which overcome geographical barriers , and increase access to health care services . The idea of the system is to involve patients in the therapy process and motivate them for an active participation . For validation of the system in African context , a trial was conducted in the Democratic Republic of Congo . 40 Subjects with diabetes divided r and omly into control and intervention groups were included in the test . Results show that Mobil Diab is suitable for African countries and presents a number of benefits for the population and public health care system . It improves clinical management and delivery of diabetes care services by enhancing access , quality , motivation , reassurance , efficiency , and cost-effectiveness 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 Purpose The purpose of this study was to determine the impact of diabetes self-management education ( DSME ) in improving processes and outcomes of diabetes care as measured by a five component diabetes bundle and HbA1c , in individuals with type 2 diabetes mellitus ( T2DM ) . Methods A retrospective analysis was performed for adult T2DM patients who received DSME training in 2011–2012 from an accredited American Diabetes Association center at Intermountain Healthcare ( IH ) and had an HbA1c measurement within the prior 3 months and 2–6 months after completing their first DSME visit . Control patients were selected from the same clinics as case- patients using r and om number generator to achieve a 1 to 4 ratio . Case and control patients were included if 1 ) pre-education HbA1c was between 6.0%–14.0 % ; 2 ) their main provider was a primary care physician ; 3 ) they met the national Healthcare Effectiveness Data and Information Set criteria for inclusion in the IH diabetes registry . The IH diabetes bundle includes retinal eye exam , nephropathy screening or prescription of angiotensin converting enzyme or angiotensin receptor blocker ; blood pressure < 140/90 mmHg , LDL < 100 mg/dL , HbA1c < 8.0 % . Results DSME patients had a significant difference in achievement of the five element IH diabetes bundle and in HbA1c % compared to those without DSME . After adjusting for possible confounders in a multivariate logistic regression model , DSME patients had a 1.5 fold difference in improvement in their diabetes bundle and almost a 3 fold decline in HbA1c compared to the control group . Conclusion St and ardized DSME taught within an IH American Diabetes Association center is strongly associated with a substantial improvement in patients meeting all five elements of a diabetes bundle and a decline in HbA1c beyond usual care . Given the low operating cost of the DSME program 
    Output:
    
Documentation and inclusion of such vital information will foster a transparent and shared decision-making process that will ultimately lead to the development of practical and user-friendly self-management apps that can enhance the quality of life for diabetes patients