The effect of education and mobile health management on improvement of blood glucose with type 2 diabetes mellitus

Chai, Shude; Wang, Danyang; Yao, Baoting; Xu, Lin; Ji, Linong; Zhang, Xiaomei

doi:10.1007/s10389-020-01210-5

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…Recently, several studies have been conducted for RHM for diabetic patients based on mHealth technologies. These studies have focused on several related topics including diabetic management and control [15], [16], diabetes prevention [17], diabetes intervention program [18], diabetes self-efficacy [19], continuous glucose monitoring [20], glycemic control improvement [21], diabetic patients treatment [22], diabetes prediction system [23], diabetes care improvement [24], continuous and remote monitoring system [25], insulin dose management [26], and carbohydrate measurement [27]. However, Tables 1, 2, and 3 show existing mHealth studies for managing, diagnosing, tracking, detecting, and predicting diabetic mellitus, respectively.…”

Section: Related Workmentioning

confidence: 99%

Mobile health monitoring based studies for diabetes mellitus: a review

AlShorman

Masadeh

Alshorman³

2021

Bulletin EEI

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Diabetes as a chronic disease is considered to be a serious problem not only for diabetic patients but also for caregivers, families and countries. Hazardously, as an example, 16% of the Middle East population died every year because of diabetes as it is reported by World Health Organization (WHO). Therefore, it is crucial to utilize the recent advances and technologies to find the best instrument for diabetes monitoring and management. Recently, mobile health (mHealth) technologies have a vital role in the healthcare industrial world. Undoubtedly, mHealth technologies are used to manage, track, monitor, diagnose, and prevent chronic diseases including, diabetes. Certainly, the main advantages of mHealth include a real-time and continuous monitoring with high reliability, accessibility, and availability. In addition to that, mHealth is considered to be a fast, accurate, simple, cheap, comfortable, and safe technology. Hence, the proposed study aims to review existing mHealth studies for managing, diagnosing, tracking, detecting, and predicting diabetic mellitus. Moreover, challenges and future trends of this emerging topic are also discussed.

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Section: Related Workmentioning

confidence: 99%

Mobile health monitoring based studies for diabetes mellitus: a review

AlShorman

Masadeh

Alshorman³

2021

Bulletin EEI

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“…1). The 30 eligible studies include 21 randomized controlled trials [44, 46, 47, 50, 51, 53-56, 58-62, 66, 68, 70-74] two feasibility randomized controlled trials [52,63], three cluster randomized control trials [49,57,69] and five cohort studies [45,48,64,65,67]. The studies were conducted in 14 LMICs including nine in China [45-47, 53, 56, 57, 70, 73, 88], five in India [49,58,62,65,89], three in South Africa [60,61,67], three in Iran [51,63,66], two in Bangladesh [49,54] and one each in Iraq [52], Lebanon [48], Pakistan [68], Mexico [44], Cambodia [69] and Thailand [64].…”

Section: Resultsmentioning

confidence: 99%

Clinical and patient-centered implementation outcomes of mHealth interventions for type 2 diabetes in low-and-middle income countries: a systematic review

Mokaya

Kyallo

Vangoitsenhoven

et al. 2022

Int J Behav Nutr Phys Act

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Background The prevalence of Type 2 Diabetes is rising in Low- and Middle-Income Countries (LMICs), affecting all age categories and resulting in huge socioeconomic implications. Mobile health (mHealth) is a potential high-impact approach to improve clinical and patient-centered outcomes despite the barriers of cost, language, literacy, and internet connectivity. Therefore, it is valuable to examine the clinical and implementation outcomes of mHealth interventions for Type 2 Diabetes in LMICs. Methods The Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines were applied in framing and reporting the review criteria. A systematic search of Cochrane Library, Web of Science, PubMed, Scopus, and Ovid databases was performed through a combination of search terms. Randomized Controlled Trials (RCTs) and cohort studies published in English between January 2010 and August 2021 were included. Risk of bias for missing results in the included studies was assessed using the Cochrane risk-of-bias tool for randomized trials (RoB 2). Quantitative and qualitative methods were used to synthesize the results. Results The search identified a total of 1161 articles. Thirty studies from 14 LMICs met the eligibility criteria. On clinical outcomes, 12 and 9 studies reported on glycated hemoglobin (HbA1c )and fasting blood glucose (FBG) respectively. Text messages was the most commonly applied mHealth approach, used in 19 out of the 30 studies. Ten out of the 12 studies (83.3%) that reported on HbA1c had a percentage difference of <0.3% between the mHealth intervention and the comparison group. Additionally, studies with longer intervention periods had higher effect size and percentage difference on HbA1c (1.52 to 2.92%). Patient-centred implementation outcomes were reported variedly, where feasibility was reported in all studies. Acceptability was reported in nine studies, appropriateness in six studies and cost in four studies. mHealth evidence reporting and assessment (mERA) guidelines were not applied in all the studies in this review. Conclusion mHealth interventions in LMICs are associated with clinically significant effectiveness on HbA1 but have low effectiveness on FBG. The application of mERA guidelines may standardize reporting of patient-centered implementation outcomes in LMICs. Trial registration PROSPERO: Registration ID 154209.

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A Systematic Review Supporting the Endocrine Society Guidelines: Management of Diabetes and High Risk of Hypoglycemia

Roldan

Urtecho

Nayfeh

et al. 2022

The Journal of Clinical Endocrinology &Amp; Metabolism

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Context Interventions targeting hypoglycemia in people with diabetes are important for improving quality of life and reducing morbidity and mortality. Objective To support development of the Endocrine Society Clinical Practice Guideline for management of individuals with diabetes at high risk for hypoglycemia. Methods We searched several databases for studies addressing 10 questions provided by a guideline panel from the Endocrine Society. Meta-analysis was conducted when feasible. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess certainty of evidence. Results We included 149 studies reporting on 43 344 patients. Continuous glucose monitoring (CGM) reduced episodes of severe hypoglycemia in patients with type 1 diabetes (T1D) and reduced the proportion of patients with hypoglycemia (blood glucose [BG] levels <54 mg/dL). There were no data on use of real-time CGM with algorithm-driven insulin pumps vs multiple daily injections with BG testing in people with T1D. CGM in outpatients with type 2 diabetes taking insulin and/or sulfonylureas reduced time spent with BG levels under 70 mg/dL. Initiation of CGM in hospitalized patients at high risk for hypoglycemia reduced episodes of hypoglycemia with BG levels lower than 54 mg/dL and time spent under 54 mg/dL. The proportion of patients with hypoglycemia with BG levels lower than 70 mg/dL and lower than 54 mg/dL detected by CGM was significantly higher than point-of-care BG testing. We found no data evaluating continuation of personal CGM in the hospital. Use of an inpatient computerized glycemic management program utilizing electronic health record data was associated with fewer patients with and episodes of hypoglycemia with BG levels lower than 70 mg/dL and fewer patients with severe hypoglycemia compared with standard care. Long-acting basal insulin analogs were associated with less hypoglycemia. Rapid-acting insulin analogs were associated with reduced severe hypoglycemia, though there were more patients with mild to moderate hypoglycemia. Structured diabetes education programs reduced episodes of severe hypoglycemia and time below 54 mg/dL in outpatients taking insulin. Glucagon formulations not requiring reconstitution were associated with longer times to recovery from hypoglycemia, although the proportion of patients who recovered completely from hypoglycemia was not different between the 2 groups. Conclusion This systematic review summarized the best available evidence about several interventions addressing hypoglycemia in people with diabetes. This evidence base will facilitate development of clinical practice guidelines by the Endocrine Society.

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The effect of education and mobile health management on improvement of blood glucose with type 2 diabetes mellitus

Cited by 4 publications

References 30 publications

Mobile health monitoring based studies for diabetes mellitus: a review

Mobile health monitoring based studies for diabetes mellitus: a review

Clinical and patient-centered implementation outcomes of mHealth interventions for type 2 diabetes in low-and-middle income countries: a systematic review

A Systematic Review Supporting the Endocrine Society Guidelines: Management of Diabetes and High Risk of Hypoglycemia

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