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Meta-Analysis
. 2016 Nov 18;11(11):e0166718.
doi: 10.1371/journal.pone.0166718. eCollection 2016.

T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis

Mingxuan Cui  1 , Xueyan Wu  1 , Jiangfeng Mao  1 , Xi Wang  1 , Min Nie  1
Affiliations
Meta-Analysis

T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis

Mingxuan Cui et al. PLoS One. .

Abstract

Background: Mobile health interventions (mHealth) based on smartphone applications (apps) are promising tools to help improve diabetes care and self-management; however, more evidence on the efficacy of mHealth in diabetes care is needed. The objective of this study was to conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the effect of mHealth apps on changes in hemoglobin A1c (HbA1c), blood glucose, blood pressure, serum lipids, and body weight in type 2 diabetes mellitus (T2DM) patients.

Methods: Two independent reviewers searched three online databases (PubMed, the Cochrane Library, and EMBASE) to identify relevant studies published between January 2005 and June 2016. Of the 2,596 articles retrieved, 13 RCTs were included. We used random effects model to estimate the pooled results.

Results: Thirteen studies were selected for the systematic review, six of which with data available containing 1,022 patients were included for the meta-analysis. There was a moderate effect on glycemic control after the mHealth app-based interventions. The overall effect on HbA1c shown as mean difference (MD) was -0.40% (-4.37 mmol/mol) (95% confidence interval [CI] -0.69 to -0.11% [-7.54 to -1.20 mmol/mol]; p = 0.007) and standardized mean differences (SMD) was -0.40% (-4.37 mmol/mol) (95% confidence interval [CI] -0.69 to -0.10% [-7.54 to -1.09 mmol/mol]; p = 0.008). A subgroup analysis showed a similar effect with -0.33% (-3.61 mmol/mol) (95% CI -0.59 to -0.06% [-6.45 to -0.66 mmol/mol]; p = 0.02) in MD and -0.38% (-4.15 mmol/mol) (95% CI -0.71 to -0.05% [-7.76 to -0.55 mmol/mol]; p = 0.02) in SMD in studies where patients' baseline HbA1c levels were less than 8.0%. No effects of mHealth app interventions were found on blood pressure, serum lipids, or weight. Assessment of overall study quality and publication bias demonstrated a low risk of bias among the six studies.

Conclusions: Smartphone apps offered moderate benefits for T2DM self-management. However, more research with valid study designs and longer follow-up is needed to evaluate the impact of mHealth apps for diabetes care and self-management.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Flow diagram for the scientific paper selection from databases.
Fig 2
Fig 2. A model to demonstrate how self-management apps work.
Fig 3
Fig 3. Forest plot for HbA1c level in studies with feedback group.
Fig 4
Fig 4. Forest plot for HbA1c < 8% at baseline levels.
See this image and copyright information in PMC

References

    1. CDC CFDC. Increasing prevalence of diagnosed diabetes—United States and Puerto Rico, 1995–2010. MMWR Morb Mortal Wkly Rep. 2012;61(45):918–21. - PubMed
    1. Fery F, Paquot N. [Etiopathogenesis and pathophysiology of type 2 diabetes]. Rev Med Liege. 2005;60(5–6):361–8. - PubMed
    1. Hirsch IB, Bode BW, Childs BP, Close KL, Fisher WA, Gavin JR, et al. Self-Monitoring of Blood Glucose (SMBG) in insulin- and non-insulin-using adults with diabetes: consensus recommendations for improving SMBG accuracy, utilization, and research. Diabetes Technol Ther. 2008;10(6):419–39. 10.1089/dia.2008.0104 - DOI - PubMed
    1. Moncrieft AE, Llabre MM, McCalla JR, Gutt M, Mendez AJ, Gellman MD, et al. Effects of a Multicomponent Life-Style Intervention on Weight, Glycemic Control, Depressive Symptoms, and Renal Function in Low-Income, Minority Patients With Type 2 Diabetes: Results of the Community Approach to Lifestyle Modification for Diabetes Randomized Controlled Trial. PSYCHOSOM MED. 2016. - PMC - PubMed
    1. Whitehead LC, Crowe MT, Carter JD, Maskill VR, Carlyle D, Bugge C, et al. A nurse-led interdisciplinary approach to promote self-management of type 2 diabetes: a process evaluation of post-intervention experiences. J EVAL CLIN PRACT. 2016. - PubMed