Electronic messaging intervention for management of cardiovascular risk factors in type 2 diabetes mellitus: A randomised controlled trial

Fang, Ronghua; Deng, Xuexue

doi:10.1111/jocn.13962

Cited by 30 publications

(14 citation statements)

References 22 publications

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“…The included studies used telemedicine through apps, messages, and calls for supporting people with diabetes. Seven studies [14,[16][17][18]22,26,29] included in the systematic review were not included in the meta-analysis because they did not report all the necessary data.…”

Section: Meta-analysis Resultsmentioning

confidence: 99%

“…The difference between the pre-and post-intervention HbA1c level was an increase of 0.04 in the intervention group and 0.18 in the control group without statistically significant differences between both groups at the end of the study (p > 0.05) [21]. Different results were found by one study of patients who received regular communication via text messages and phone calls, and therefore it was concluded that this assistance was beneficial, leading to reduced levels of HbA1c (pre-intervention, 6.96 ± 1.3; post-intervention, 6.55 ± 1.06) [22].…”

Section: Apps and Mobile Phones For The Control Of Dm2mentioning

confidence: 92%

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Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis

Martos-Cabrera

Velando‐Soriano

Pradas‐Hernández

et al. 2020

JCM

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Introduction: Diabetes mellitus is a chronic endocrine-metabolic disease, the evolution of which is closely related to people’s self-control of glycemic levels through nutrition, exercise, and medicines. Aim: To determine whether smartphone apps can help persons with diabetes to improve their % levels of glycosylated hemoglobin. Method: A systematic review and meta-analysis were done. ProQuest, Pubmed/Medline, and Scopus databases were used. The search equation used was “(Prevention and Control) AND Diabetes Mellitus AND Smartphones”. The inclusion criteria applied were clinical trials, conducted in 2014–2019. Results: n = 18 studies were included in the review. The studies tried different applications to monitor glycemia and support patients to improve glycosylated hemoglobin (HbA1c) levels. More than half of the studies found statistically significant differences in HbA1c in the intervention group compared with the control group. Eleven studies were included in the meta-analysis and the study sample was n = 545 for the experimental group and n = 454 for the control group. The meta-analytic estimation of the HbA1c % level means differences between intervention and control group was statistically significant in favour of the intervention group with a mean difference of –0.37 (–0.58, –0.15. 95% confidence interval). Conclusion: Smartphone apps can help people with diabetes to improve their level of HbA1c, but the clinical impact is low.

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Section: Meta-analysis Resultsmentioning

confidence: 99%

Section: Apps and Mobile Phones For The Control Of Dm2mentioning

confidence: 92%

Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis

Martos-Cabrera

Velando‐Soriano

Pradas‐Hernández

et al. 2020

JCM

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“…Although digital technology has produced promising outcomes in terms of diabetes self-management even for patients of working age [74], less motivated adults might be better reached via interventions aiming at the setting they live in, i.e. their workplace or local community [75,76].…”

Section: Working-age Populationsmentioning

confidence: 99%

What should governments be doing to prevent diabetes throughout the life course?

et al. 2019

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Health systems and governments are increasingly required to implement measures that target at-risk populations to prevent noncommunicable diseases. In this review we lay out what governments should be doing to prevent diabetes throughout the life course. The following four target groups were used to structure the specific recommendations: (1) pregnant women and young families, (2) children and adolescents, (3) working age population, and (4) the elderly. The evidence to date supports the effectiveness of some known government policy measures, such as sugar taxes and regulatory measures in the (pre-)school setting for children and adolescents. Many of these appear to be more effective if they are part of a bundle of strategies and if they are supplemented by communication strategies. Although there is a current focus on strategies that target the individual, governments can make use of evidence-based population-level prevention strategies. More research and continuous evaluation of the overall and subgroup-specific effectiveness of policy strategies using high-quality longitudinal studies are needed.

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“…Again, control group participants also showed physical activity improvements. The pool of evidence for physical activity outcomes from type 2 diabetes text message programs is small and inconclusive, with one study reporting similar ndings to DTEXT (32), and another reporting a signi cant improvement (30). The study with signi cance sent text message 3 times per week for 6 months, with additional support provided through monthly follow up with a diabetes educator and a calendar to record daily compliance with exercise guidelines.…”

Section: Discussionmentioning

confidence: 99%

Effectiveness and acceptability of a text message intervention (DTEXT) on diabetes control and self-management for people with type 2 diabetes: A randomized controlled trial.

Waller

Furber

Bauman

et al. 2020

Preprint

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Background Mobile phone text message interventions have the potential to improve the health of people with type 2 diabetes at a population level. This study aimed to determine the effectiveness and acceptability of a mobile phone text message intervention (DTEXT) on diabetes control and self-management behaviours for Australian adults with type 2 diabetes. Methods A two-armed parallel non-blinded randomised control trial was conducted with 395 community dwelling adults with type 2 diabetes and HbA1c ≥7.0% (53 mmol/mol). Block randomisation occurred after completion of baseline measures. The control group received usual care, the intervention group received usual care and the automated six month text message intervention (daily messages for months 1-3, four messages per week for months 4-6). Pathology measures and self-report telephone surveys were assessed using intention to treat analysis. Generalised estimating equations determined between group changes in HbA1c at 3 and 6 months. Secondary outcomes included change in nutrition, physical activity, blood lipid profile, body mass index, quality of life, self-efficacy, medication adherence and program acceptability. Results No significant difference was observed between the intervention (n=197) or control group (n=198) for HbA1c at 3 months (-0.11%; CI -0.28, 0.07; d= -0.05, p=0.23) or 6 months (-0.13%; CI -0.33, 0.08; d= -0.05, p=0.22). A significant improvement in nutrition was seen with consumption of vegetables at 3 months (0.74 serves/day; 95%CI 0.34, 1.12; d =0.31, p<0.01) and 6 months (0.42 serves/day; 95% CI 0.03, 0.82; d =0.18, p=0.04); fruit at 3 months (0.21 serves/day; 95% CI 0.00, 0.41; d =0.09, p<0.05) and discretionary sweet foods at 3 months (-1.10 times/week; 95% CI -2.03, -0.16; d =-0.47, p=0.02). No other significant effects were seen at 3 months and 6 months. The intervention demonstrated high rates of acceptability (94.0%) and minimal withdrawal (1.5%). Conclusions A mobile phone text message intervention can improve some nutritional behaviours in people with type 2 diabetes, but does not significantly improve HbA1c or other health outcomes. DTEXT provides a highly accepted and potentially scalable form of self-management support that can complement existing diabetes care. Trial Registration Australian New Zealand Clinical Trials Registry, Trial ID: ACTRN12617000416392. Registered: 23 March 2017.

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Electronic messaging intervention for management of cardiovascular risk factors in type 2 diabetes mellitus: A randomised controlled trial

Abstract: Regular smartphone communication has a favourable impact on cardiovascular risk factors in patients with type 2 diabetes mellitus.

Cited by 30 publications

References 22 publications

Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis

Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis

What should governments be doing to prevent diabetes throughout the life course?

Effectiveness and acceptability of a text message intervention (DTEXT) on diabetes control and self-management for people with type 2 diabetes: A randomized controlled trial.

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