Insulin Dose Titration System in Diabetes Patients Using a Short Messaging Service Automatically Produced by a Knowledge Matrix

Kim, Chul Sik; Park, So Young; Kang, Jun Goo; Lee, Seong Jin; Ihm, Sung Hee; Choi, Moon Gi; Yoo, Hyung Joon

doi:10.1089/dia.2010.0031

Cited by 50 publications

(82 citation statements)

References 22 publications

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“…When evaluating interventions, we considered an HbA 1c reduction of at least 0.3% as a clinically meaningful treatment effect 175 156,159,165 Six studies used a mixture of technologies for the intervention, including mobile phones, Internet, Web portals, SMS, and glucose meters that provided messaging. 164,166,168,171,178 We also include in Table 5 a systematic review by Liang et al 173 and a Cochrane review.…”

Section: Review Of Evidence For the Efficacy Of Mobile Technologybasementioning

confidence: 99%

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Burke¹,

Ma²,

Azar³

et al. 2015

Circulation

486

389

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A lthough mortality for cardiovascular disease (CVD) has declined for several decades, heart disease and stroke continue to be the leading causes of death, disability, and high healthcare costs. Unhealthy behaviors related to CVD risk (eg, smoking, sedentary lifestyle, and unhealthful eating habits) remain highly prevalent. The high rates of overweight, obesity, and type 2 diabetes mellitus (T2DM); the persistent presence of uncontrolled hypertension; lipid levels not at target; and the ≈18% of adults who continue to smoke cigarettes pose formidable challenges for achieving improved cardiovascular health.1,2 It is apparent that the performance of healthful behaviors related to the management of CVD risk factors has become an increasingly important facet of the prevention and management of CVD. 3In 2010, the American Heart Association (AHA) made a transformative shift in its strategic plan and added the concept of cardiovascular health.2 To operationalize this concept, the AHA targeted 4 health behaviors in the 2020 Strategic Impact Goals: reduction in smoking and weight, healthful eating, and promotion of regular physical activity. Three health indicators also were included: glucose, blood pressure (BP), and cholesterol. On the basis of the AHA Life's Simple 7 metrics for improved cardiovascular health, <1% of adults in the United States follow a healthful eating plan, only 32% have a normal body mass index, and > 30% have not reached the target levels for lipids or BP. National Health and Nutrition Examination Survey (NHANES) data revealed that people who met ≥6 of the cardiovascular health metrics had a significantly better risk profile (hazard ratio for all-cause mortality, 0.49) compared with individuals who had achieved only 1 metric or none.2 The studies reviewed in this statement targeted these behaviors (ie, smoking, physical activity, healthful eating, and maintaining a healthful weight) and cardiovascular health indicators (ie, blood glucose, lipids, BP, body mass index) as the primary outcomes in the clinical trials testing mobile health (mHealth) interventions.eHealth, or digital health, is the use of emerging communication and information technologies, especially the Internet, to improve health and health care 4 (Table 1). mHealth, a subsegment of eHealth, is the use of mobile computing and communication technologies (eg, mobile phones, wearable sensors) for health services and information.4,5 mHealth technology uses techniques and advanced concepts from an array of disciplines, for example, computer science, electrical and

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Section: Review Of Evidence For the Efficacy Of Mobile Technologybasementioning

confidence: 99%

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Burke¹,

Ma²,

Azar³

et al. 2015

Circulation

486

389

View full text Add to dashboard Cite

show abstract

“…It is necessary to point out that 'mobile phone intervention' meant intervention using the mobile phones with or without internet for diabetes self-management, and hence, we pooled data from 12 studies (14,15,16,17,18,20,21,23,24,26,27,30) that used a similar intervention. Compared with the study by Liang et al, we consider that our results had several strengths.…”

Section: Discussionmentioning

confidence: 99%

“…The mean age of all participants ranged from 46 to 71 years. Ten studies (13,14,15,16,17,18,19,20,21,22) limited inclusion criteria to participants 1240 records identified through searches 899 records after duplicates removed 800 excluded based on abstracts.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…Most studies reported improvement in HbA1c. Four studies (19,22,23,24) scored A for quality, nine (13,14,15,17,18,20,25,26,27) Fig. 2).…”

Section: European Journal Of Endocrinologymentioning

confidence: 99%

“…Two studies (15,16) reported hypoglycemia episodes during the trials. A study by Lim et al (16) has shown that the hypoglycemia by a minor proportion and hypoglycemic events seemed to be higher in the telecare group than in the standard care group, with no statistical significance, whereas the major and nocturnal hypoglycemia were smaller in the telecare group (P!0.05).…”

Section: Adverse Effectsmentioning

confidence: 99%

See 2 more Smart Citations

MANAGEMENT OF ENDOCRINE DISEASE: Effects of telecare intervention on glycemic control in type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials

Huang

Hong

Meng

et al. 2015

European Journal of Endocrinology

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Objective: To review the published literature on the effects of telecare intervention in patients with type 2 diabetes and inadequate glycemic control. Design and methods: A review of randomized controlled trials on telecare intervention in patients with type 2 diabetes, and a search of electronic databases such as The Cochrane Library, PubMed, EBSCO, CINAHL, Science Direct, Journal of Telemedicine and Telecare, and China National Knowledge Infrastructure (CNKI), were conducted from December 8 to 16, 2013. Two evaluators independently selected and reviewed the eligible studies. Changes in HbA1c, fasting plasma glucose (FPG), post-prandial plasma glucose (PPG), BMI, and body weight were analyzed. Results: An analysis of 18 studies with 3798 subjects revealed that telecare significantly improved the management of diabetes. Mean HbA1c values were reduced by K0.54 (95% CI, K0.75 to K0.34; P!0.05), mean FPG levels by K9.00 mg/dl (95% CI, K17.36 to K0.64; PZ0.03), and mean PPG levels reduced by K52.86 mg/dl (95% CI, K77.13 to K28.58; P!0.05) when compared with the group receiving standard care. Meta-regression and subgroup analyses indicated that study location, sample size, and treatment-monitoring techniques were the sources of heterogeneity. Conclusions: Patients monitored by telecare showed significant improvement in glycemic control in type 2 diabetes when compared with those monitored by routine follow-up. Significant reduction in HbA1c levels was associated with Asian populations, small sample size, and telecare, and with those patients with baseline HbA1c greater than 8.0%.

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Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus

Pal

Eastwood

Michie

et al. 2013

Cochrane Database of Systematic Reviews

281

247

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Insulin Dose Titration System in Diabetes Patients Using a Short Messaging Service Automatically Produced by a Knowledge Matrix

Abstract: This study demonstrated that SMS based on our specialized Internet-supported system is an effective and safe approach to long-acting insulin dose adjustments in patients with type 2 diabetes.

Cited by 50 publications

References 22 publications

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention

MANAGEMENT OF ENDOCRINE DISEASE: Effects of telecare intervention on glycemic control in type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials

Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus

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