title: Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes Telemedicine influence on the follow-up of type 2 diabetes patients. The impact of telehome care on health status and quality of life among patients with diabetes in a primary care setting in Poland. Overcoming Clinical Inertia: A Randomized Clinical Trial of a Telehealth Remote Monitoring Intervention Using Paired Glucose Testing in Adults With Type 2 Diabetes Research Paper: A Randomized Trial Comparing Telemedicine Case Management with Usual Care in Older, Ethnically Diverse, Medically Underserved Patients with Diabetes Mellitus Improved Glycemic Control Without Hypoglycemia in Elderly Diabetic Patients Using the Ubiquitous Healthcare Service, a New Medical Information System Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China. A Community-Based, Culturally Tailored Behavioral Intervention for Korean Americans With Type 2 Diabetes Supported Telemonitoring and Glycemic Control in People with Type 2 Diabetes: The Telescot Diabetes Pragmatic Multicenter Randomized Controlled Trial Outcomes of a home telehealth intervention for patients with diabetes and hypertension. Randomised controlled trial of an automated, interactive telephone intervention (TLC Diabetes) to improve type 2 diabetes management: baseline findings and six-month outcomes Efficacy of a New Medical Information system, Ubiquitous Healthcare Service with Voice Inception Technique in Elderly Diabetic Patients Telemedicine in the Management of Type 2 Diabetes Mellitus Web-Based Collaborative Care for Type 2 Diabetes DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients. Telecare Provides comparable efficacy to conventional self-monitored blood glucose in patients with type 2 diabetes titrating one injection of insulin glulisine-the ELEONOR study. Effects on diabetes management of a health-care provider mediated, remote coaching system via a PDA-type glucometer and the Internet The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials Use of a real time continuous glucose monitoring system as a motivational device for poorly controlled type 2 diabetes. Short- and Long-Term Effects of Real-Time Continuous Glucose Monitoring in Patients With Type 2 Diabetes Online disease management of diabetes: Engaging and Motivating Patients Online With Enhanced Resources-Diabetes (EMPOWER-D), a randomized controlled trial Establishment of blood glucose monitoring system using the internet. Active Care Management Supported by Home Telemonitoring in Veterans With Type 2 Diabetes A patient-centric, provider-assisted diabetes telehealth self-management intervention for urban minorities. Intensive Structured Self-Monitoring of Blood Glucose and Glycemic Control in Noninsulin-Treated Type 2 Diabetes Research Paper: A Randomized Trial Comparing Telemedicine Case Management with Usual Care in Older, Ethnically Diverse, Medically Underserved Patients with Diabetes Mellitus: 5 Year Results of the IDEATel Study Multifactorial intervention in diabetes care using real-time monitoring and tailored feedback in type 2 diabetes Active assistance technology reduces glycosylated hemoglobin and weight in individuals with type 2 diabetes: results of a theory-based randomized trial. Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes Mobile communication using a mobile phone with a glucometer for glucose control in Type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system A Ubiquitous Chronic Disease Care system using cellular phones and the internet. An Internet-based health gateway device for interactive communication and automatic data uploading: Clinical efficacy for type 2 diabetes in a multi-centre trial A randomized comparison of online- and telephone-based care management with internet training alone in adult patients with poorly controlled type 2 diabetes. Effectiveness of home telehealth in comorbid diabetes and hypertension: a randomized, controlled trial. Value and utility of structured self-monitoring of blood glucose in real world clinical practice: findings from a multinational observational study. Mobile Diabetes Intervention for Glycemic Control
abstract: OBJECTIVE To assess the effectiveness of structured blood glucose testing in poorly controlled , noninsulin-treated type 2 diabetes . RESEARCH DESIGN AND METHODS This 12-month , prospect i ve , cluster-r and omized , multicenter study recruited 483 poorly controlled ( A1C ≥7.5 % ) , insulin-naïve type 2 diabetic subjects from 34 primary care practice s in the U.S. Practice s were r and omized to an active control group ( ACG ) with enhanced usual care or a structured testing group ( STG ) with enhanced usual care and at least quarterly use of structured self-monitoring of blood glucose ( SMBG ) . STG patients and physicians were trained to use a paper tool to collect/interpret 7-point glucose profiles over 3 consecutive days . The primary end point was A1C level measured at 12 months . RESULTS The 12-month intent-to-treat analysis ( ACG , n = 227 ; STG , n = 256 ) showed significantly greater reductions in mean ( SE ) A1C in the STG compared with the ACG : −1.2 % ( 0.09 ) vs. −0.9 % ( 0.10 ) ; Δ = −0.3 % ; P = 0.04 . Per protocol analysis ( ACG , n = 161 ; STG , n = 130 ) showed even greater mean ( SE ) A1C reductions in the STG compared with the ACG : −1.3 % ( 0.11 ) vs. −0.8 % ( 0.11 ) ; Δ = −0.5 % ; P < 0.003 . Significantly more STG patients received a treatment change recommendation at the month 1 visit compared with ACG patients , regardless of the patient ’s initial baseline A1C level : 179 ( 75.5 % ) vs. 61 ( 28.0 % ) ; < 0.0001 . Both STG and ACG patients displayed significant ( P < 0.0001 ) improvements in general well-being ( GWB ) . CONCLUSIONS Appropriate use of structured SMBG significantly improves glycemic control and facilitates more timely/aggressive treatment changes in noninsulin-treated type 2 diabetes without decreasing GWB OBJECTIVE This study was design ed to evaluate the impact of a teleassistance system on the metabolic control of type 2 diabetes patients . RESEARCH DESIGN AND METHODS We conducted a 1-year controlled parallel-group trial comparing patients r and omized ( 1 ) to an intervention group , assigned to a teleassistance system using real-time transmission of blood glucose results , with immediate reply when necessary , and telephone consultations , or ( 2 ) to a control group , being regularly followed-up at their healthcare center . Study subjects were type 2 diabetes patients > 30 years of age followed in the primary care setting . RESULTS A total of 328 type 2 diabetes patients were recruited from 35 family practice s in the province of Málaga , Spain . There was a reduction in hemoglobin A1c after 12 months from 7.62 + /- 1.60 % to 7.40 + /- 1.43 % ( P = 0.027 ) in the intervention group and from 7.44 + /- 1.31 % to 7.35 + /- 1.38 % ( P = 0.303 ) in the control group . The difference in the change between groups was not statistically significant . There was also a significant decrease in systolic and diastolic blood pressure , total cholesterol , low-density lipoprotein cholesterol , and body mass index in the intervention group . In the control group , the only significant decline was in low-density lipoprotein cholesterol . CONCLUSIONS A teleassistance system using real-time transmission of blood glucose results with an option to make telephone consultations is feasible in the primary care setting as a support tool for family physicians in their follow-up of type 2 diabetes patients BACKGROUND Telehome care has been proposed as a solution to the challenges of providing effective and affordable care for patients with diabetes . METHODS A total of 100 adult patients with type 2 diabetes-divided between insulin and noninsulin requiring-was enrolled in a r and omized , controlled trial aim ed at investigating the effects of telehome monitoring . The experimental group ( n = 50 ) received an in-home wireless glucose monitor and transmitter , whereas the control group ( n = 50 ) was instructed to follow the conventional arrangement . RESULTS There was an overall reduction in HbA1c values in both experimental and control groups after 6 months . A significant difference in HbA1c values between the groups was observed only among the noninsulin-requiring patients ( decline from 6.95 % ± 0.82 % to 6.66 % ± 0.86 % in IB vs. 7.21 % ± 2.02 % to 7.2 % ± 1.86 % in IIB ; p = 0.02 ) . The experimental group reported considerably less hyperglycemic and hypoglycemic events . The profile of the patient who benefited the most from telemonitoring consisted of older , more educated patient who had acquired the disease relatively recently , and who spends most of the time at home . The experimental group had higher overall scores on quality of life measures and sense of control over diabetes . There was a positive association between educational attainment and ability to use the telemonitoring system without help ( p = 0.045 ) . CONCLUSIONS Although not conclusive because of the small sample and short observation period , the study suggests that telehome monitoring is an effective tool in controlling type 2 diabetes in a primary care setting Background Type 2 diabetes mellitus is a worldwide challenge . Practice guidelines promote structured self-monitoring of blood glucose ( SMBG ) for informing health care providers about glycemic control and providing patient feedback to increase knowledge , self-efficacy , and behavior change .  Paired glucose testing — pairs of glucose results obtained before and after a meal or physical activity — is a method of structured SMBG . However , frequent access to glucose data to interpret values and recommend actions is challenging . A complete feedback loop— data collection and interpretation combined with feedback to modify treatment — has been associated with improved outcomes , yet there remains limited integration of SMBG feedback in diabetes management . Incorporating telehealth remote monitoring and asynchronous electronic health record ( EHR ) feedback from certified diabetes educators (CDEs)—specialists in glucose pattern management — employ the complete feedback loop to improve outcomes . Objective The purpose of this study was to evaluate a telehealth remote monitoring intervention using paired glucose testing and asynchronous data analysis in adults with type 2 diabetes . The primary aim was change in glycated hemoglobin (A1c)—a measure of overall glucose management — between groups after 6 months . The secondary aims were change in self-reported Summary of Diabetes Self-Care Activities ( SDSCA ) , Diabetes Empowerment Scale , and Diabetes Knowledge Test . Methods A 2-group r and omized clinical trial was conducted comparing usual care to telehealth remote monitoring with paired glucose testing and asynchronous virtual visits .  Participants were aged 30 - 70 years , not using insulin with A1c levels between 7.5 % and 10.9 % ( 58 - 96 mmol/mol ) . The telehealth remote monitoring tablet computer transmitted glucose data and facilitated a complete feedback loop to educate participants , analyze actionable glucose data , and provide feedback . Data from paired glucose testing were analyzed asynchronously using computer-assisted pattern analysis and were shared with patients via the EHR weekly . CDEs called participants monthly to discuss paired glucose testing trends and treatment changes . Separate mixed-effects models were used to analyze data . Results Participants ( N=90 ) were primarily white ( 64 % , 56/87 ) , mean age 58 ( SD 11 ) years , mean body mass index 34.1 ( SD 6.7 ) kg/m2 , with diabetes for mean 8.2 ( SD 5.4 ) years , and a mean A1c of 8.3 % ( SD 1.1 ; 67 mmol/mol ) . Both groups lowered A1c with an estimated average decrease of 0.70 percentage points in usual care group and 1.11 percentage points in the treatment group with a significant difference of 0.41 percentage points at 6 months ( SE 0.08 , t159=–2.87 , P=.005 ) . Change in medication ( SE 0.21 , t157=–3.37 , P=.009 ) was significantly associated with lower A1c level . The treatment group significantly improved on the SDSCA subscales carbohydrate spacing ( P=.04 ) , monitoring glucose ( P=.001 ) , and foot care ( P=.02 ) . Conclusions An eHealth model incorporating a complete feedback loop with telehealth remote monitoring and paired glucose testing with asynchronous data analysis significantly improved A1c levels compared to usual care . Trial Registration Clinical trials.gov NCT01715649 ; https://www . clinical trials.gov/ct2/show/NCT01715649 ( Archived by WebCite at http://www.webcitation.org/6ZinLl8D0 ) BACKGROUND Telemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions who experience barriers to access to care or a high burden of illness . METHODS The authors conducted a r and omized , controlled trial comparing telemedicine case management to usual care , with blinding of those obtaining outcome data , in 1,665 Medicare recipients with diabetes , aged 55 years or greater , and living in federally design ated medically underserved areas of New York State . The primary endpoints were HgbA1c , blood pressure , and low-density lipoprotein ( LDL ) cholesterol levels . RESULTS In the intervention group ( n = 844 ) , mean HgbA1c improved over one year from 7.35 % to 6.97 % and from 8.35 % to 7.42 % in the subgroup with baseline HgbA1c > or = 7 % ( n = 353 ) . In the usual care group ( n = 821 ) mean HgbA1c improved over one year from 7.42 % to 7.17 % . Adjusted net reductions ( one-year minus baseline mean values in each group , compared between groups ) favoring the intervention were as follows : HgbA1c , 0.18 % ( p = 0.006 ) , systolic and diastolic blood pressure , 3.4 ( p = 0.001 ) and 1.9 mm Hg ( p < 0.001 ) , and LDL cholesterol , 9.5 mg/dL ( p < 0.001 ) . In the subgroup with baseline HgbA1c > or = 7 % , net adjusted reduction in HgbA1c favoring the intervention group was 0.32 % ( p = 0.002 ) . Mean LDL cholesterol level in the intervention group at one year was 95.7 mg/dL. The intervention effects were similar in magnitude in the subgroups living in New York City and upstate New York . CONCLUSION Telemedicine case management improved glycemic control , blood pressure levels , and total and LDL cholesterol levels at one year of follow-up 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 Large amounts of time and effort are needed to implement an Internet-based glucose monitoring system ( IBGMS ) in the clinical setting . This study was design ed using research experience that was developed while implementing an IBGMS in Korea , and the research platform was modified to evaluate the efficacy of an IBGMS in controlling blood sugar in the Chinese population . METHODS A r and omized , open-label , parallel group design was used to evaluate the efficacy of an IBGMS among Chinese subjects with type 2 diabetes . Over a 6-month period , 182 subjects were evaluated in the IBGMS  ( n = 92 ) or control ( n = 90 ) groups . RESULTS After 3 months , the control group 's HbA1c levels were reduced from 8.0 % ± 0.8 % to 7.3 % ± 1.2 % ( p < 0.001 ) and the IBGMS group experienced a reduction from 7.9 % ± 0.8 % to 6.9 % ± 0.7 % ( p < 0.001 ) ; the IBGMS group 's end value was significantly lower ( p = 0.014 ) . The intragroup changes in the control and IBGMS groups were significant at the 3-month ( p = 0.002 ) and 6-month ( p < 0.01 ) follow-ups . Over this period , the HbA1c levels in the control group increased slightly ( 7.3 % ± 1.1 % to 7.4 % ± 1.3 % , p = 0.605 ) , and the HbA1c levels in the IBGMS group decreased slightly ( 6.9 % ± 0.7 % to 6.7 % ± 0.7 % , p = 0.081 ) . CONCLUSIONS The IBGMS was effective in improving blood sugar levels among patients with diabetes . Therefore , IBGMS experience can be effectively transferred between institutions and countries Purpose The purpose of this study is to test the efficacy of a culturally tailored comprehensive type 2 diabetes management intervention for Korean American immigrants ( KAIs ) with type 2 diabetes . Methods A r and omized controlled pilot trial with 2 parallel arms ( intervention vs control ) with a delayed intervention design was used . A total of 79 KAIs , recruited from the Baltimore-Washington area , completed baseline , 18-week , and 30-week follow-ups ( intervention , n = 40 ; control , n = 39 ) . All participants had uncontrolled type 2 diabetes ( hemoglobin A1C ≥7.5 % ) at baseline . The authors ’ comprehensive , self-help intervention program for type 2 diabetes management ( SHIP-DM ) consisted of a 6-week structured psychobehavioral education , home glucose monitoring with teletransmission , and bilingual nurse telephone counseling for 24 weeks . The primary outcome of the study was A1C level , and secondary outcomes included an array of psychobehavioral variables . Results Using analysis of covariance , the findings support that the proposed intervention was effective in significantly lowering A1C and fasting glucose and also in improving psychosocial outcomes in the sample . Specifically , the amount of reduction in A1C among intervention group participants was 1.19 % at 18 weeks and 1.31 % at 30 weeks , with 10 % and 15.5 % of the participants achieving the suggested goal of A1C < 7 % at 18 and 30 weeks of follow-up , respectively . Conclusions The results highlight the clinical efficacy of the SHIP-DM intervention composed of a 6-week education program , self-monitoring , and follow-up counseling , in terms of maintaining the improved intervention effects obtained and in terms of glucose control Background Self-monitoring of blood glucose among people with type 2 diabetes not treated with insulin does not appear to be effective in improving glycemic control . We investigated whether health professional review of telemetrically transmitted self-monitored glucose results in improved glycemic control in people with poorly controlled type 2 diabetes . Methods and Findings We performed a r and omized , parallel , investigator-blind controlled trial with central ized r and omization in family practice s in four regions of the United Kingdom among 321 people with type 2 diabetes and glycated hemoglobin ( HbA1c ) > 58 mmol/mol . The supported telemonitoring intervention involved self-measurement and transmission to a secure website of twice-weekly morning and evening glucose for review by family practice clinicians who were not blinded to allocation group . The control group received usual care , with at least annual review and more frequent review s for  people with poor glycemic or blood pressure control .  HbA1c assessed at 9 mo was the primary outcome . Intention-to-treat analyses were performed . 160 people were r and omized to the intervention group and 161 to the usual care group between June 6 , 2011 , and July 19 , 2013 .  HbA1c data at follow-up were available for 146 people in the intervention group and 139 people in the control group . The mean ( SD ) HbA1c at follow-up was 63.0 ( 15.5 ) mmol/mol in the intervention group and 67.8 ( 14.7 ) mmol/mol in the usual care group . For primary analysis , adjusted mean HbA1c was 5.60 mmol/mol / 0.51 % lower ( 95 % CI 2.38 to 8.81 mmol/mol/ 95 % CI 0.22 % to 0.81 % , p = 0·0007 ) . For secondary analyses , adjusted mean ambulatory systolic blood pressure was 3.06 mmHg lower ( 95 % CI 0.56–5.56 mmHg , p = 0.017 ) and mean ambulatory diastolic blood pressure was 2.17 mmHg lower ( 95 % CI 0.62–3.72 , p = 0.006 ) among people in the intervention group when compared with usual care after adjustment for baseline differences and minimization strata . No significant differences were identified between groups in weight , treatment pattern , adherence to medication , or quality of life in secondary analyses . There were few adverse events and these were equally distributed between the intervention and control groups . In secondary analysis , there was a greater number of telephone calls between practice nurses and patients in the intervention compared with control group ( rate ratio 7.50 ( 95 % CI 4.45–12.65 , p < 0.0001 ) but no other significant differences between groups in use of health services were identified between groups . Key limitations include potential lack of representativeness of trial participants , inability to blind participants and health professionals , and uncertainty about the mechanism , the duration of the effect , and the optimal length of the intervention . Conclusions Supported telemonitoring result ed in clinical ly important improvements in control of glycaemia in patients with type 2 diabetes in family practice . Current Controlled Trials , registration number IS RCT N71674628 . Trial Registration Current Controlled Trials IS RCT N BACKGROUND Home telehealth programs often focus on a single disease , yet many patients who need monitoring have multiple conditions . This study evaluated secondary outcomes from a clinical trial evaluating the efficacy of home telehealth to improve outcomes of patients with co-morbid diabetes and hypertension . SUBJECTS AND METHODS A single-center r and omized controlled clinical trial compared two remote monitoring intensity levels ( low and high ) and usual care in patients with type 2 diabetes and hypertension being treated in primary care . Secondary outcomes assessed were knowledge ( diabetes , hypertension , medications ) , self-efficacy , adherence ( diabetes , medications ) , and patient perceptions of the intervention mode . RESULTS Knowledge scores improved in the high-intensity intervention group participants , but upon further analysis , we found the intervention effect was not mediated by gain in knowledge . No significant differences were found across the groups in self-efficacy , adherence , or patient perceptions of the intervention mode . CONCLUSIONS Home telehealth can enhance detection of key clinical symptoms that occur between regular physician visits . While our intervention improved glycemic and blood pressure control , the mechanism of the effect for this improvement was not clear Background Effective self-management of diabetes is essential for the reduction of diabetes-related complications , as global rates of diabetes escalate . Methods R and omised controlled trial . Adults with type 2 diabetes ( n = 120 ) , with HbA1c greater than or equal to 7.5 % , were r and omly allocated ( 4 × 4 block r and omised block design ) to receive an automated , interactive telephone-delivered management intervention or usual routine care .  Baseline sociodemographic , behavioural and medical history data were collected by self-administered question naires and biological data were obtained during hospital appointments . Health-related quality of life ( HRQL ) was measured using the SF-36 . Results The mean age of participants was 57.4 ( SD 8.3 ) , 63 % of whom were male . There were no differences in demographic , socioeconomic and behavioural variables between the study arms at baseline . Over the six-month period from baseline , participants receiving the Australian TLC ( Telephone-Linked Care ) Diabetes program showed a 0.8 % decrease in geometric mean HbA1c from 8.7 % to 7.9 % , compared with a 0.2 % HbA1c reduction ( 8.9 % to 8.7 % ) in the usual care arm ( p = 0.002 ) . There was also a significant improvement in mental HRQL , with a mean increase of 1.9 in the intervention arm , while the usual care arm decreased by 0.8 ( p = 0.007 ) . No significant improvements in physical HRQL were observed . Conclusions These analyses indicate the efficacy of the Australian TLC Diabetes program with clinical ly significant post-intervention improvements in both glycaemic control and mental HRQL . These observed improvements , if supported and maintained by an ongoing program such as this , could significantly reduce diabetes-related complications in the longer term . Given the accessibility and feasibility of this kind of program , it has strong potential for providing effective , ongoing support to many individuals with diabetes in the future We have demonstrated previously that an individualized health management system using advanced medical information technology , named ubiquitous (u)-healthcare , was helpful in achieving better glycemic control than routine care . Recently , we generated a new u-healthcare system using a voice inception technique for elderly diabetic patients to communicate information about their glucose control , physical activity , and diet more easily . In a r and omized clinical trial , 70 diabetic patients aged 60–85 years were assigned r and omly to a st and ard care group or u-healthcare group for 6 months . The primary end points were the changes in glycated hemoglobin ( HbA1c ) and glucose fluctuation assessed by the mean amplitude glycemic excursion ( MAGE ) . Changes in body weight , lifestyle , and knowledge about diabetes were also investigated . After 6 months , the HbA1c levels decreased significantly in the u-healthcare group ( from 8.6 ± 1.0 % to 7.5 ± 0.6 % ) compared with the st and ard care group ( from 8.7 ± 0.9 % to 8.2 ± 1.1 % , P < 0.01 ) . The MAGE decreased more in the u-healthcare group than in the st and ard care group . Systolic blood pressure and body weight decreased and liver functions improved in the u-healthcare group , but not in the st and ard care group . The u-healthcare system with voice inception technique was effective in achieving glycemic control without hypoglycemia in elderly diabetic patients ( Clinical trials.gov : NCT01891474 ) Objective To explore a model of Internet‐based integrated management of diabetes , we established a remote diabetes medical service platform ( U‐Healthcare ) and evaluated its effectiveness and practicality . Material s and Methods In total , 212 patients with type 2 diabetes mellitus were r and omly assigned to 2 groups . Data from the intervention group were automatically transmitted through a glucometer ; furthermore , this group received information regarding medicines , diet , exercise and other management through U‐Healthcare . The control group received conventional medical treatment without any additional intervention . All patients were regularly followed up every 3 months for half a year . Results At the 3‐month follow‐up , fasting plasma glucose levels of the intervention group were significantly lower than those at the baseline as well as those of the control group . Triglyceride levels of the intervention group were much lower than those at the baseline . At the 6‐month follow‐up , 2‐hour postpr and ial plasma glucose levels of the intervention group significantly improved compared with those of the control group . HbA1c levels gradually decreased every 3 months in the intervention group , and the mean change in the levels was significantly greater in this group than in the control group ( from 1.27‐0.68 % ) . At the end of the study , more than 80 % of the patients in the intervention group adhered to blood glucose monitoring 2‐3 days per week , and their compliance degree was 72 % . Conclusions The Internet‐based U‐Healthcare system of integrated management in diabetes not only achieved better glycemic control , effectively improved HbA1c levels and decreased triglyceride levels but also enhanced patients ’ adherence to the medical team 's instructions OBJECTIVE —To test Web-based care management of glycemic control using a shared electronic medical record with patients who have type 2 diabetes . RESEARCH DESIGN AND METHODS —We conducted a trial of 83 adults with type 2 diabetes r and omized to receive usual care plus Web-based care management or usual care alone between August 2002 and May 2004 . All patients had GHb ≥7.0 % , had Web access from home , and could use a computer with English language –based programs . Intervention patients received 12 months of Web-based care management . The Web-based program included patient access to electronic medical records , secure e-mail with providers , feedback on blood glucose readings , an educational Web site , and an interactive online diary for entering information about exercise , diet , and medication . The primary outcome was change in GHb . RESULTS —GHb levels declined by 0.7 % ( 95 % CI 0.2−1.3 ) on average among intervention patients compared with usual-care patients . Systolic blood pressure , diastolic blood pressure , total cholesterol levels , and use of in-person health care services did not differ between the two groups . CONCLUSIONS —Care management delivered through secure patient Web communications improved glycemic control in type 2 diabetes 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 BACKGROUND We compared telecare and conventional self-monitored blood glucose ( SMBG ) programs for titrating the addition of one bolus injection of insulin glulisine in patients with type 2 diabetes uncontrolled on oral hypoglycemic agents for ≥3 months who were first titrated with basal insulin glargine . METHODS This r and omized , multicenter , parallel-group study included 241 patients ( mean screening glycosylated hemoglobin [ HbA(1c ) ] , 8.8 % [ 73 mmol/mol ] ) . In the run-in phase , any antidiabetes medication , except for metformin , was discontinued . Metformin was then up-titrated to 2 g/day ( 1 g twice daily ) until study completion . Following run-in , all patients started glargine for 8 - 16 weeks , targeting fasting plasma glucose ( FPG ) ≤5.6 mmol/L using conventional SMBG . Patients with FPG ≤7 mmol/L added a glulisine dose at the meal with the highest postpr and ial plasma glucose excursion , titrated to target 2-h postpr and ial plasma glucose level < 7.8 mmol/L using telecare or SMBG for 24 weeks . Patients with FPG > 7 mmol/L at week 16 were withdrawn from the study . RESULTS After glargine titration , 224 patients achieved FPG ≤7 mmol/L , without any difference between telecare and SBMG groups ( mean±SD , 6.2±0.8 vs. 6.0±0 . 9 mmol/L , respectively ) . HbA(1c ) levels were lower following titration and were similar for telecare and SMBG ( 7.9±0.9 % vs. 7.8±0.9 % [ 63 vs. 62 mmol/mol ] , respectively ) . Adding glulisine  further reduced HbA(1c ) in both groups ( -0.7 % vs. -0.7 % ) ; 45.2 % and 54.8 % ( P=0.14 ) , respectively , of patients achieved HbA(1c ) ≤7.0 % ( ≤53 mmol/mol ) . Weight change and hypoglycemia were similar between groups . CONCLUSIONS Patients adding one dose of glulisine at the meal with the highest postpr and ial plasma glucose excursion to titrated basal glargine achieved comparable improvements in glycemic control irrespective of traditional or telecare blood glucose monitoring We conducted a r and omized controlled trial for 12 weeks in patients with type 2 diabetes living in a rural part of Korea . The intervention group ( n = 35 ) was managed by a diabetes centre which provided specialized management mediated by a primary health-care nurse who used a PDA-type blood glucometer with a bar code detector to measure the capillary glucose levels . The control group ( n = 36 )  received usual care . Compared with baseline , HbA1c was significantly reduced at three-month follow-up in the intervention group ( 8.0 % vs. 7.5 % ; P < 0.01 ) , but not in the control group . Total cholesterol was significantly reduced in the intervention group ( 10.7 mmol/L vs. 10.4 mmol/L ; P = 0.043 ) . Fasting plasma glucose and triglyceride levels were lower at follow-up in both groups , but the difference was not significant . The new system could be implemented widely and would contribute to improving the quality of diabetes care , even in isolated rural areas Flaws in the design , conduct , analysis , and reporting of r and omised trials can cause the effect of an intervention to be underestimated or overestimated . The Cochrane Collaboration ’s tool for assessing risk of bias aims to make the process clearer and more OBJECTIVE The use of a real time continuous glucose monitoring system ( RT-CGM ) was studied as a behavior modification tool and the effectiveness of a RT-CGM in glucose control for patients with type 2 diabetes was determined . METHODS We conducted a prospect i ve , open-label , r and omized , controlled clinical trial in 65 patients with poorly controlled type 2 diabetes ( 8.0</=HbA1c</=10 % ) over a 3-month period . The intervention group was monitored monthly with a RT-CGM ( three days at a time for 3 months ) and the control group continued self-monitoring blood glucose ( SMBG ) at least four times a week for 3 months . RESULTS The HbA1c of the RT-CGM group was significantly reduced after 12 weeks compared with the SMBG group ( 9.1+/-1.0 % to 8.0+/-1.2 % vs. 8.7+/-0.7 % to 8.3+/-1.1 % , respectively ; P=0.004 ) . In the RT-CGM group , there was a significant reduction in total daily calorie intake , weight , body mass index ( BMI ) , and postpr and ial glucose level , and a significant increase in total exercise time per week after 3 months . CONCLUSIONS We demonstrated that the RT-CGM was useful in modifying a patient 's diet and exercise habits and could induce better glycemic control than SMBG for patients with type 2 diabetes OBJECTIVE To determine whether short-time , real-time continuous glucose monitoring ( RT-CGM ) has long-term salutary glycemic effects in patients with type 2 diabetes who are not on pr and ial insulin . RESEARCH DESIGN AND METHODS This was a r and omized controlled trial of 100 adults with type 2 diabetes who were not on pr and ial insulin . This study compared the effects of 12 weeks of intermittent RT-CGM with self-monitoring of blood glucose ( SMBG ) on glycemic control over a 40-week follow-up period . Subjects received diabetes care from their regular provider without therapeutic intervention from the study team . RESULTS There was a significant difference in A1C at the end of the 3-month active intervention that was sustained during the follow-up period . The mean , unadjusted A1C decreased by 1.0 , 1.2 , 0.8 , and 0.8 % in the RT-CGM group vs. 0.5 , 0.5 , 0.5 , and 0.2 % in the SMBG group at 12 , 24 , 38 , and 52 weeks , respectively ( P = 0.04 ) . There was a significantly greater decline in A1C over the course of the study for the RT-CGM group than for the SMBG group , after adjusting for covariates ( P < 0.0001 ) . The subjects who used RT-CGM per protocol ( ≥48 days ) improved the most ( P < 0.0001 ) . The improvement in the RT-CGM group occurred without a greater intensification of medication compared with those in the SMBG group . CONCLUSIONS Subjects with type 2 diabetes not on pr and ial insulin who used RT-CGM intermittently for 12 weeks significantly improved glycemic control at 12 weeks and sustained the improvement without RT-CGM during the 40-week follow-up period , compared with those who used only SMBG OBJECTIVE To evaluate an online disease management system supporting patients with uncontrolled type 2 diabetes . MATERIAL S AND METHODS Engaging and Motivating Patients Online With Enhanced Re sources for Diabetes was a 12-month parallel r and omized controlled trial of 415 patients with type 2 diabetes with baseline glycosylated hemoglobin ( A1C ) values ≥7.5 % from primary care sites sharing an electronic health record . The intervention included : ( 1 ) wirelessly uploaded home glucometer readings with graphical feedback ; ( 2 ) comprehensive patient-specific diabetes summary status report ; ( 3 ) nutrition and exercise logs ; ( 4 ) insulin record ; ( 5 ) online messaging with the patient 's health team ; ( 6 ) nurse care manager and dietitian providing advice and medication management ; and ( 7 ) personalized text and video educational ' nuggets ' dispensed electronically by the care team . A1C was the primary outcome variable . RESULTS Compared with usual care ( UC , n=189 ) , patients in the intervention ( INT , n=193 ) group had significantly reduced A1C at 6 months ( -1.32 % INT vs -0.66 % UC ; p<0.001 ) . At 12 months , the differences were not significant ( -1.14 % INT vs -0.95 % UC ; p=0.133 ) . In post hoc analysis , significantly more INT patients had improved diabetes control ( > 0.5 % reduction in A1C ) than UC patients at 12 months ( 69.9 ( 95 % CI 63.2 to 76.5 ) vs 55.4 ( 95 % CI 48.4 to 62.5 ) ; p=0.006 ) . CONCLUSIONS A nurse-led , multidisciplinary health team can manage a population of diabetic patients in an online disease management program . INT patients achieved greater decreases in A1C at 6 months than UC patients , but the differences were not sustained at 12 months . More INT than UC patients achieved improvement in A1C ( > 0.5 % decrease ) . Trial registered in clinical trials.gov : # NCT00542204 OBJECTIVE The Internet is used worldwide as a communication tool . To improve the quality of diabetes control , we investigated the effectiveness of an Internet-based blood glucose monitoring system ( IBGMS ) on controlling the changes in HbA(1c ) levels . RESEARCH DESIGN AND METHODS We conducted a r and omized clinical trial involving 110 patients who visited the outpatient clinic at the Kangnam St. Mary 's Hospital for 3 months . The study subjects were treated with IBGMS for 12 weeks , and the control group received the usual outpatient management over the same period .  HbA(1c ) and other laboratory tests were performed twice , once at the beginning of the study and again at the end of the study . RESULTS The test results from the beginning of the study established that there were no significant differences between the two groups with respect to age , sex , diabetes duration , BMI , blood pressure , HbA(1c ) , and other laboratory data . On follow-up examination 12 weeks later , HbA(1c ) levels were significantly decreased from 7.59 to 6.94 % within the intervention group ( P < 0.001 ) . At the end of the study , HbA(1c ) levels in the intervention group were significantly lower than in the control group after adjusting the baseline HbA(1c ) ( 6.94 vs. 7.62 % ; P < 0.001 , respectively ) . Among patients with baseline HbA(1c ) < 7.0 % , the patients in the intervention group had lower HbA(1c ) than those in the control group ( 6.38 vs. 6.99 % ; P < 0.05 ) . Among the patients with a baseline HbA(1c ) > or = 7.0 % , the difference between the two groups appeared more obvious : HbA(1c ) levels at the end of the study were 8.12 % . CONCLUSIONS This new IBGMS result ed in a significant reduction of HbA(1c ) during the study period . We propose that this IBGMS be used as a method for improving diabetes control OBJECTIVE We compared the short-term efficacy of home telemonitoring coupled with active medication management by a nurse practitioner with a monthly care coordination telephone call on glycemic control in veterans with type 2 diabetes and entry A1C ≥7.5 % . RESEARCH DESIGN AND METHODS Veterans who received primary care at the VA Pittsburgh Healthcare System from June 2004 to December 2005 , who were taking oral hypoglycemic agents and /or insulin for ≥1 year , and who had A1C ≥7.5 % at enrollment were r and omly assigned to either active care management with home telemonitoring ( ACM+HT group , n = 73 ) or a monthly care coordination telephone call ( CC group , n = 77 ) . Both groups received monthly calls for diabetes education and self-management review . ACM+HT group participants transmitted blood glucose , blood pressure , and weight to a nurse practitioner using the Viterion 100 TeleHealth Monitor ; the nurse practitioner adjusted medications for glucose , blood pressure , and lipid control based on established American Diabetes Association targets . Measures were obtained at baseline , 3-month , and 6-month visits . RESULTS Baseline characteristics were similar in both groups , with mean A1C of 9.4 % ( CC group ) and 9.6 % ( ACM+HT group ) . Compared with the CC group , the ACM+HT group demonstrated significantly larger decreases in A1C at 3 months ( 1.7 vs. 0.7 % ) and 6 months ( 1.7 vs. 0.8 % ; P < 0.001 for each ) , with most improvement occurring by 3 months . CONCLUSIONS Compared with the CC group , the ACM+HT group demonstrated significantly greater reductions in A1C by 3 and 6 months . However , both interventions improved glycemic control in primary care patients with previously inadequate control This article describes the design and implementation of an online diabetes self-management intervention for a sample of inner-city African Americans with diabetes . Study participants were r and omly assigned to the treatment ( 26 ) and control ( 21 ) conditions . The results indicate that treatment group participants were more likely to achieve positive outcomes in terms of lowered hemoglobin A1c and body mass index measurements than were control group members . These findings support the development of telehealth interventions to promote effective chronic disease management in medically underserved communities OBJECTIVE We aim ed to evaluate the added value of intensive self-monitoring of blood glucose ( SMBG ) , structured in timing and frequency , in noninsulin-treated patients with type 2 diabetes . RESEARCH DESIGN AND METHODS The 12-month , r and omized , clinical trial enrolled 1,024 patients with noninsulin-treated type 2 diabetes ( median baseline HbA1c , 7.3 % [ IQR , 6.9–7.8 % ] ) at 39 diabetes clinics in Italy . After st and ardized education , 501 patients were r and omized to intensive structured monitoring ( ISM ) with 4-point glycemic profiles ( fasting , prepr and ial , 2-h postpr and ial , and postabsorptive measurements ) performed 3 days/week ; 523 patients were r and omized to active control ( AC ) with 4-point glycemic profiles performed at baseline and at 6 and 12 months . Two primary end points were tested in hierarchical order : HbA1c change at 12 months and percentage of patients at risk target for low and high blood glucose index . RESULTS Intent-to-treat analysis showed greater HbA1c reductions over 12 months in ISM ( −0.39 % ) than in AC patients ( −0.27 % ) , with a between-group difference of −0.12 % ( 95 % CI , −0.210 to −0.024 ; P = 0.013 ) . In the per- protocol analysis , the between-group difference was −0.21 % ( −0.331 to −0.089 ; P = 0.0007 ) . More ISM than AC patients achieved clinical ly meaningful reductions in HbA1c ( > 0.3 , > 0.4 , or > 0.5 % ) at study end ( P < 0.025 ) . The proportion of patients reaching/maintaining the risk target at month 12 was similar in ISM ( 74.6 % ) and AC ( 70.1 % ) patients ( P = 0.131 ) . At visits 2 , 3 , and 4 , diabetes medications were changed more often in ISM than in AC patients ( P < 0.001 ) . CONCLUSIONS Use of structured SMBG improves glycemic control and provides guidance in prescribing diabetes medications in patients with relatively well-controlled noninsulin-treated type 2 diabetes CONTEXT Telemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions and lower access to care . OBJECTIVES To examine the effectiveness of a telemedicine intervention to achieve clinical management goals in older , ethnically diverse , medically underserved patients with diabetes . DESIGN , Setting , and Patients A r and omized controlled trial was conducted , comparing telemedicine case management to usual care , with blinded outcome evaluation , in 1,665 Medicare recipients with diabetes , aged > /= 55 years , residing in federally design ated medically underserved areas of New York State . Interventions Home telemedicine unit with nurse case management versus usual care . Main Outcome Measures The primary endpoints assessed over 5 years of follow-up were hemoglobin A1c ( HgbA1c ) , low density lipoprotein ( LDL ) cholesterol , and blood pressure levels . RESULTS Intention-to-treat mixed models showed that telemedicine achieved net overall reductions over five years of follow-up in the primary endpoints ( HgbA1c , p = 0.001 ; LDL , p < 0.001 ; systolic and diastolic blood pressure , p = 0.024 ; p < 0.001 ) . Estimated differences ( 95 % CI ) in year 5 were 0.29 ( 0.12 , 0.46)% for HgbA1c , 3.84 ( -0.08 , 7.77 ) mg/dL for LDL cholesterol , and 4.32 ( 1.93 , 6.72 ) mm Hg for systolic and 2.64 ( 1.53 , 3.74 ) mm Hg for diastolic blood pressure . There were 176 deaths in the intervention group and 169 in the usual care group ( hazard ratio 1.01 [ 0.82 , 1.24 ] ) . CONCLUSIONS Telemedicine case management result ed in net improvements in HgbA1c , LDL-cholesterol and blood pressure levels over 5 years in medically underserved Medicare beneficiaries . Mortality was not different between the groups , although power was limited . Trial Registration http:// clinical trials.gov Identifier : NCT00271739 Aims In 2011 , we demonstrated that an individualized health management system employing advanced medical information technology , design ated ubiquitous (u)-healthcare , was helpful in achieving glycemic control without hypoglycemia in patients with diabetes . Following this , we generated a new multidisciplinary u-healthcare system by upgrading our clinical decision support system ( CDSS ) rule engine and integrating a physical activity-monitoring device and dietary feedback into a comprehensive package . Methods In a r and omized , controlled clinical trial , patients with type 2 diabetes aged over 60 years were assigned r and omly to a self-monitored blood glucose ( SMBG ) group  ( N = 50 ) or u-healthcare group ( N = 50 ) for 6 months . The primary endpoint was the proportion of patients achieving glycated hemoglobin ( HbA1c ) < 7 % without hypoglycemia . Changes in body composition and lipid profiles were also investigated . The u-healthcare group was educated to use a specially design ed glucometer and an activity monitor that automatically transferred test results to a hospital-based server . An automated CDSS rule engine generated and sent patient-specific messages about  glucose , diet , and physical activity to their mobile phones and a Web site . Results After 6 months of follow-up , the HbA1c level was significantly decreased in the u-healthcare group [ 8.0 ± 0.7 % ( 64.2 ± 8.8 mmol/mol ) to 7.3 ± 0.9 % ( 56.7 ± 9.9 mmol/mol ) ] compared with the SMBG group [ 8.1 ± 0.8 % ( 64.9 ± 9.1 mmol/mol ) to 7.9 ± 1.2 % ( 63.2 ± 12.3 mmol/mol ) ] ( P < 0.01 ) . The proportion of patients with HbA1c < 7 % without hypoglycemia was greater in the u-healthcare group ( 26 % ) than in the SMBG group ( 12 % ; P < 0.05 ) . Body fat mass decreased and lipid profiles improved in the u-healthcare group but not in the SMBG group . Conclusion This u-healthcare service provided effective management for older patients with type 2 diabetes ( Clinical Trial . Gov : NCT01137058 ) BACKGROUND Type 2 diabetes is an individual health challenge requiring ongoing self-management . Remote patient reporting of relevant health parameters and linked automated feedback via mobile telephone have potential to strengthen self-management and improve outcomes . This research involved development and evaluation of a mobile telephone-based remote patient reporting and automated telephone feedback system , guided by health behavior change theory , aim ed at improving self-management and health status in individuals with type 2 diabetes . SUBJECTS AND METHODS This research comprised a r and omized controlled trial . Inclusion criteria were diagnosis of type 2 diabetes , elevated glycosylated hemoglobin ( HbA1c ) levels ( range , 6.5 - 11 % ) or use of oral diabetes medication , and 30 - 70 years of age . Intervention subjects ( n=24 ) participated in remote patient reporting of health status parameters and linked health behavior change feedback . Control participants ( n=24 ) received st and ard of care including diabetes education and healthcare provider counseling . Patients were followed for approximately 10 months . RESULTS Intervention participants achieved , compared with controls and controlling for baseline , a significantly greater mean reduction in HbA1c of -0.40 % ( 95 % confidence interval [ CI ] -0.67 % to -0.14 % ) versus 0.036 % ( 95 % CI -0.23 % to 0.30 % ) ( P<0.03 ) and significantly greater weight reduction of -2.1 kg ( 95 % CI -3.6 to -0.6 kg ) versus 0.4 kg ( 95 % CI -1.1 to 1.9 kg ) . Nonsignificant trends for greater intervention compared with control improvement in systolic and diastolic blood pressure were observed . CONCLUSIONS Sophisticated information technology platforms for remote patient reporting linked with theory-based health behavior change automated feedback have potential to improve patient outcomes in type 2 diabetes and merit scaled-up research efforts PURPOSE The present study evaluated whether an intervention using the SMS by personal cellular phone and internet would improve the levels of plasma glucose of obese type 2 diabetes at 3 , 6 , 9 , and 12 months . METHODS This is a quasi-experimental design with pre- and follow-up tests . Participants were recruited from the endocrinology outpatient department of tertiary care hospital located in an urban city of South Korea . Eighteen patients were r and omly assigned to an intervention group and 16 to a control group . The goal of the intervention was to decrease body weight and keep blood glucose concentrations close to the normal range . Patients were requested to record their blood glucose level  in a weekly diary on the website by personal cellular phones or computer internet . The research er sent optimal recommendations to each patient , by both the cellular phone and the Internet weekly . The intervention was applied for 1 year . RESULTS Glycosylated hemoglobin ( HbA(1)c ) decreased 1.22 percentage points at 3 months , 1.09 percentage points at 6 months , 1.47 percentage points at 9 months , and 1.49 percentage points at 12 months compared with baseline in the intervention group ( all time points , p<0.05 ) . The percentage change in the control group was , however , not significant . Patients in the intervention group had a decrease of 2-h post-pr and ial test ( 2HPPT ) of 120.1mg/dl at 3 months , 58.9 mg/dl at 6 months , 62.0mg/dl at 9 months , and 102.9 mg/dl at 12 months compared with baseline ( all time points , p<0.05 ) . The mean change in the control group was , however , not significant . CONCLUSION This web-based intervention using SMS of personal cellular phone and Internet improved HbA(1)c and 2HPPT at 3 , 6 , 9 , and 12 months in patients with obese type 2 diabetes A mobile phone with a glucometer integrated into the battery pack ( the ‘ Diabetes Phone ’ ) was launched in Korea in 2003 . We compared its effect on management of type 2 diabetes to the Internet-based glucose monitoring system ( IBGMS ) , which had been studied previously . We conducted a r and omized trial involving 69 patients for three months . Participants were assigned to an Internet group or a phone group . The phone group communicated with medical staff through the mobile phone only . Their glucose-monitoring data were automatically transferred to individual , web-based charts and they received medical recommendations by short message service . The Internet group used the IBGMS . There were no significant differences between the groups at baseline . After three months ' intervention , HbA1c levels of both groups had decreased significantly , from 7.6 % to 6.9 % for the Internet group and from 8.3 % to 7.1 % for the phone group ( P < 0.01 ) . Levels of patient satisfaction and adherence to medical advice were similar . Mobile , bidirectional communication between doctors and patients using the diabetes phone was as effective for glucose control as the previously-studied Internet-based monitoring system and it was good for patient satisfaction and adherence AIMS The rapidly increasing prevalence of chronic diseases is an important challenge to healthcare systems worldwide . To improve the quality and efficiency of chronic disease care , we investigated the effectiveness and applicability of the Ubiquitous Chronic Disease Care ( UCDC ) system using cellular phones and the internet for overweight patients with both Type 2 diabetes and hypertension . METHODS We conducted a r and omized , controlled clinical trial over 3 months that included 123 patients at a university hospital and a community public health centre . RESULTS After 12 weeks , there were significant improvements in HbA(1c ) in the intervention group ( 7.6 + /- 0.9 % to 7.1 + /- 0.8 % , P < 0.001 ) compared with the control group ( 7.4 + /- 0.9 % to 7.6 + /- 1.0 % , P = 0.03 ) . Furthermore , we observed a significant reduction in systolic and diastolic blood pressure , as well as improvements in total cholesterol , low-density lipoprotein-cholesterol and triglyceride levels in the intervention group . Furthermore , there was a significant increase in adiponectin levels in the intervention group compared with the control group , although high-sensitivity C-reactive protein and interleukin-6 levels did not change in either group . CONCLUSIONS The novel UCDC system presented in this paper improved multiple metabolic parameters simultaneously in overweight patients with both Type 2 diabetes and hypertension Introduction The aim of this study was to improve the quality of diabetes control and evaluate the efficacy of an Internet-based integrated healthcare system for diabetes management and safety . Methods We conducted a large-scale , multi-centre , r and omized clinical trial involving 484 patients . Patients in the intervention group ( n = 244 ) were treated with the Internet-based system for six months , while the  control group ( n = 240 ) received the usual outpatient management over the same period . HbA1c , blood chemistries , anthropometric parameters , and adverse events were assessed at the beginning of the study , after three months , and the end of the study . Results There were no initial significant differences between the groups with respect to demographics and clinical parameters . Upon six-month follow-up , HbA1c levels were significantly decreased from 7.86 ± 0.69 % to 7.55 ± 0.86 % within the intervention group ( p < 0.001 ) compared to 7.81 ± 0.66 % to 7.70 ± 0.88 % within the control group . Postpr and ial glucose reduction was predominant . A subgroup with baseline HbA1c higher than 8 % and good compliance achieved a reduction of HbA1c by 0.8 ± 1.05 % . Glucose control and waist circumference reduction were more effective in females and subjects older than 40 years of age . There were no adverse events associated with the intervention . Discussion This e-healthcare system was effective for glucose control and body composition improvement without associated adverse events in a multi-centre trial . This system may be effective in improving diabetes control in the general population AIMS Care management may improve the quality of diabetes care by enhancing contact between high-risk patients and their providers . This prospect i ve , longitudinal , r and omized trial sought to investigate whether telephone or online care management improves diabetes-related outcomes over time compared with usual care supplemented with Internet access and training . SUBJECTS AND METHODS One hundred fifty-one adult subjects with type 2 diabetes mellitus and an elevated hemoglobin A1c ( A1c ) level ( ≥8.5 % ) were r and omly assigned to  online care management ( n=51 ) , telephone-based care management ( n=51 ) , or Web training ( n=49 ) groups . Online and telephone participants interacted with a care manager through a diabetes education and care management Web site and by telephone , respectively . The Web training group was provided with online diabetes self-management re sources but no care management support . The primary outcome measure was A1c measured every 3 months for a year . RESULTS A1c declined significantly and substantially in all groups over 12 months . A1c declined linearly at a rate of 0.32 % ( P<0.0001 ) per quarter for the online group , 0.36 % ( P<0.0001 ) for the telephone group , and 0.41 % for the Web training group ( P<0.0001 ) . The rate of change over time did not differ significantly among groups . The groups converged at 12 months with average absolute A1c difference of -1.5 % . The number of interactions with care providers was not significantly associated with the change in A1c . Blood pressure , weight , lipid levels , and diabetes distress did not differ among groups over time . CONCLUSIONS Online , telephone-based care management , and Web training for diabetes patients with elevated A1c were each associated with a substantial improvement in A1c over a 1-year period . Internet access and training alone may be as effective as care management in patients with poorly controlled diabetes BACKGROUND Increased emphasis is being placed on the critical need to control hypertension ( HTN ) in patients with diabetes . OBJECTIVE The objective of this study was to evaluate the efficacy of a nurse-managed home telehealth intervention to improve outcomes in veterans with comorbid diabetes and HTN . DESIGN A single-center , r and omized , controlled clinical trial design comparing two remote monitoring intensity levels and usual care in patients with type 2 diabetes and HTN being treated in primary care was used . MEASUREMENTS Primary outcomes were hemoglobin A1c and systolic blood pressure ( SBP ) ; secondary outcome was adherence . RESULTS Intervention subjects experienced decreased A1c during the 6-month intervention period compared with the control group , but 6 months after the intervention was withdrawn , the intervention groups were comparable with the control group . For SBP , the high-intensity subjects had a significant decrease in SBP compared with the other groups at 6 months and this pattern was maintained at 12 months . Adherence improved over time for all groups , but there were no differences among the three groups . LIMITATIONS Subjects had relatively good baseline control for A1c and SBP ; minorities and women were underrepresented . CONCLUSIONS Home telehealth provides an innovative and pragmatic approach to enhance earlier detection of key clinical symptoms requiring intervention . Transmission of education and advice to the patient on an ongoing basis with close surveillance by nurses can improve clinical outcomes in patients with comorbid chronic illness BACKGROUND The Structured Testing Program ( STeP ) study , a cluster-r and omized , controlled trial , showed that a structured self-monitoring of blood glucose (SMBG)-based intervention improves clinical outcomes . It is important to determine whether this intervention can be adapted for use in general medical practice . This study examined the feasibility and effects of a modified version of the STeP intervention on clinical and attitudinal outcomes in real world clinical setting s. METHODS In this 3-month , observational , multinational study , 375 type 1 and type 2 diabetes patients in 11 countries were asked to generate a blood glucose ( bG ) profile once per month for 3 consecutive months , using a paper-based bG analysis tool ( Accu-Chek ® 360 ° View ® bG analysis system , Roche Diagnostics , Mannheim , Germany ) . Measurements were to be performed before and 2 h after main meals and before bedtime on 3 consecutive days . End points included change from baseline in glycated hemoglobin ( HbA1c ) and other parameters of diabetes complications . Patient and physician attitudes toward use of the structured testing form were also assessed . RESULTS Reductions in mean ( SD ) HbA1c from baseline were significant , from 9.2 % ( 1.6 % ) to 8.0 % ( 1.4 % ) ( Δ -1.2 % [ 1.6 % ] , P<0.001 ) . Reductions in mean ( SD ) average bG from baseline were significant , from 189.5 mg/dL ( 55.5 mg/dL ) to 153 mg/dL ( 39.6 mg/dL ) ( Δ-36.4 mg/dL [ 52.5 mg/dL ] , P<0.001 ) . Significant ( P<0.001 ) improvements in body mass index , lipids , and blood pressure were also observed . Patients and physicians were generally positive about the utility of the structured testing form . CONCLUSIONS Use of the structured SMBG intervention is practical in real world clinical setting s and is associated with improved diabetes management Background : Of adults with type 2 diabetes , 84 % take antihyperglycemic medication . Successful treatment requires active monitoring and medication dose adjustment by health providers . The objective of this study was to determine how a mobile-phone-based coaching system for diabetes management influences physician prescribing behavior . Method : This secondary data analysis is based on a cluster r and omized clinical trial that reported patients provided with mobile self-management had reduction in glycated hemoglobin ( HbA1c ) of 1.9 % over 1 year , compared to 0.7 % in control patients ( P < .001 ) . Participants were primary care patients with type 2 diabetes r and omized at physician practice level into a control group ( n = 55 ) and intervention group ( n = 62 ) . Main study measures were patients ’ medication records ( medication , dose , frequency , start and end date ) abstract ed at baseline and study end .  Antihyperglycemic medications  , including sulfonylureas or thiazolidinediones , and antihypertensive and antilipemic medications were analyzed . Results : A higher percentage of patients in the intervention group had modification and intensification of incretin mimetics during the 1-year study period ( 9.7 % vs 0.0 % and 8.1 % vs 0.0 % , both P = .008 ) . A higher percentage of patients in the intervention group had modification and intensification of metformin  ( 24.2 % vs 7.3 % , P = .033 ) . The overall difference in physician prescribing of oral antihyperglycemic medications was not statistically significant . Conclusions : Our results suggest mobile diabetes interventions can encourage physicians to modify and intensify antihyperglycemic medications in patients with type 2 diabetes . Differences in physician prescribing behavior were modest , and do not appear to be large enough to explain a 1.2 % decrease in HbA1c
target: Conclusions Telemonitoring interventions may be a better option than usual care in improving glycated haemoglobin control of patients with type 2 diabetes .
background: Aims This study evaluated clinical effectiveness of telemonitoring on the management of patients with type 2 diabetes .