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      Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

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          Abstract

          Background

          Diabetes Mellitus (DM) is a chronic disease that is considered a global public health problem. Education and self-monitoring by diabetic patients help to optimize and make possible a satisfactory metabolic control enabling improved management and reduced morbidity and mortality. The global growth in the use of mobile phones makes them a powerful platform to help provide tailored health, delivered conveniently to patients through health apps.

          Objective

          The aim of our study was to evaluate the efficacy of mobile apps through a systematic review and meta-analysis to assist DM patients in treatment.

          Methods

          We conducted searches in the electronic databases MEDLINE (Pubmed), Cochrane Register of Controlled Trials (CENTRAL), and LILACS (Latin American and Caribbean Health Sciences Literature), including manual search in references of publications that included systematic reviews, specialized journals, and gray literature. We considered eligible randomized controlled trials (RCTs) conducted after 2008 with participants of all ages, patients with DM, and users of apps to help manage the disease. The meta-analysis of glycated hemoglobin (HbA1c) was performed in Review Manager software version 5.3.

          Results

          The literature search identified 1236 publications. Of these, 13 studies were included that evaluated 1263 patients. In 6 RCTs, there were a statistical significant reduction ( P<.05) of HbA1c at the end of studies in the intervention group. The HbA1c data were evaluated by meta-analysis with the following results (mean difference, MD −0.44; CI: −0.59 to −0.29; P<.001; I²=32%).The evaluation favored the treatment in patients who used apps without significant heterogeneity.

          Conclusions

          The use of apps by diabetic patients could help improve the control of HbA1c. In addition, the apps seem to strengthen the perception of self-care by contributing better information and health education to patients. Patients also become more self-confident to deal with their diabetes, mainly by reducing their fear of not knowing how to deal with potential hypoglycemic episodes that may occur.

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          Most cited references33

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          Mortality and causes of death in the WHO Multinational Study of Vascular Disease in Diabetes.

          We aimed to examine the mortality rates, excess mortality and causes of death in diabetic patients from ten centres throughout the world. A mortality follow-up of 4713 WHO Multinational Study of Vascular Disease in Diabetes (WHO MSVDD) participants from ten centres was carried out, causes of death were ascertained and age-adjusted mortality rates were calculated by centre, sex and type of diabetes. Excess mortality, compared with the background population, was assessed in terms of standardised mortality ratios (SMRs) for each of the 10 cohorts. Cardiovascular disease was the most common underlying cause of death, accounting for 44 % of deaths in Type I (insulin-dependent) diabetes mellitus and 52 % of deaths in Type II (non-insulin-dependent) diabetes mellitus. Renal disease accounted for 21% of deaths in Type I diabetes and 11% in Type II diabetes. For Type I diabetes, all-cause mortality rates were highest in Berlin men and Warsaw women, and lowest in London men and Zagreb women. For Type II diabetes, rates were highest in Warsaw men and Oklahoma women and lowest in Tokyo men and women. Age adjusted mortality rates and SMRs were generally higher in patients with Type I diabetes compared with those with Type II diabetes. Men and women in the Tokyo cohort had a very low excess mortality when compared with the background population. This study confirms the importance of cardiovascular disease as the major cause of death in people with both types of diabetes. The low excess mortality in the Japanese cohort could have implications for the possible reduction of the burden of mortality associated with diabetes in other parts of the world.
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            Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis.

              To assess the effect of mobile phone intervention on glycaemic control in diabetes self-management. We searched three electronic databases (PubMed, EMBASE and Cochrane Library) using the following terms: diabetes or diabetes mellitus and mobile phone or cellular phone, or text message. We also manually searched reference lists of relevant papers to identify additional studies. Clinical studies that used mobile phone intervention and reported changes in glycosylated haemoglobin (HbA(1c) ) values in patients with diabetes were reviewed. The study design, intervention methods, sample size and clinical outcomes were extracted from each trial. The results of the HbA(1c) change in the trials were pooled using meta-analysis methods.   A total of 22 trials were selected for the review. Meta-analysis among 1657 participants showed that mobile phone interventions for diabetes self-management reduced HbA(1c) values by a mean of 0.5% [6 mmol/mol; 95% confidence interval, 0.3-0.7% (4-8 mmol/mol)] over a median of 6 months follow-up duration. In subgroup analysis, 11 studies among Type 2 diabetes patients reported significantly greater reduction in HbA(1c) than studies among Type 1 diabetes patients [0.8 (9 mmol/mol) vs. 0.3% (3 mmol/mol); P=0.02]. The effect of mobile phone intervention did not significantly differ by other participant characteristics or intervention strategies.   Results pooled from the included trials provided strong evidence that mobile phone intervention led to statistically significant improvement in glycaemic control and self-management in diabetes care, especially for Type 2 diabetes patients. © 2011 The Authors. Diabetic Medicine © 2011 Diabetes UK.
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              Guidelines for meta-analyses evaluating diagnostic tests.

              To introduce guidelines for the conduct, reporting, and critical appraisal of meta-analyses evaluating diagnostic tests and to apply these guidelines to recently published meta-analyses of diagnostic tests. Based on current concepts of how to assess diagnostic tests and conduct meta-analyses. They are applied to all meta-analyses evaluating diagnostic tests published in English-language journals from January 1990 through December 1991, identified through MEDLINE searching and by experts in the field. Meta-analyses were included if at least two of three independent readers regarded their main purpose as the evaluation of diagnostic tests against a concurrent reference standard. By three independent readers on the extent to which meta-analyses fulfilled each guideline, with consensus defined as agreement by at least two readers. The guidelines are concerned with determining the objective of the meta-analysis, identifying the relevant literature and extracting the data, estimating diagnostic accuracy, and identifying the extent to which variability is explained by study design characteristics and characteristics of the patients and diagnostic test. In general, the guidelines were only partially fulfilled. Meta-analysis is potentially important in the assessment of diagnostic tests. Those reading meta-analyses evaluating diagnostic tests should critically appraise them; those doing meta-analyses should apply recently developed methods. The conduct and reporting of primary studies on which meta-analyses are based require improvement.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                March 2017
                01 March 2017
                : 5
                : 3
                : e4
                Affiliations
                [1] 1Post Graduate Program in Medicines and Pharmaceutical Assistance Department of Social Pharmacy Federal University of Minas Gerais Belo HorizonteBrazil
                [2] 2Institute of Biological Sciences and Health Faculty of Odontology Pontifícia Universidade Católica de Minas Gerais Belo HorizonteBrazil
                [3] 3SUS Collaborating Centre for Technology Assessment and Excellence in Health Department of Social Pharmacy Federal University of Minas Gerais Belo HorizonteBrazil
                [4] 4Post Graduate Program in Public Health Department Preventive and Social Medicine Federal University of Minas Gerais Belo HorizonteBrazil
                [5] 5Institute of Pharmacy and Biomedical Sciences University of Strathclyde Glasgow GlasgowUnited Kingdom
                [6] 6Division of Clinical Pharmaclogy Karolinska Institutet Karolinska University Hospital StockholmSweden
                [7] 7Department of Clinical Medicine Faculty of Medicine Federal University of Minas Gerais Belo HorizonteBrazil
                Author notes
                Corresponding Author: Bráulio Cezar Bonoto brauliofarma@ 123456yahoo.com.br
                Author information
                http://orcid.org/0000-0001-7514-2407
                http://orcid.org/0000-0002-0345-8522
                http://orcid.org/0000-0002-0568-6625
                http://orcid.org/0000-0002-8921-515X
                http://orcid.org/0000-0001-6539-6972
                http://orcid.org/0000-0002-4046-629X
                http://orcid.org/0000-0001-9651-8485
                http://orcid.org/0000-0001-5256-0577
                Article
                v5i3e4
                10.2196/mhealth.6309
                5352856
                28249834
                8cf76b6b-4d54-4ff1-8ca7-dbe68f3cbe2e
                ©Bráulio Cezar Bonoto, Vânia Eloisa de Araújo, Isabella Piassi Godói, Lívia Lovato Pires de Lemos, Brian Godman, Marion Bennie, Leonardo Mauricio Diniz, Augusto Afonso Guerra Junior. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 01.03.2017.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 4 July 2016
                : 18 August 2016
                : 28 September 2016
                : 23 October 2016
                Categories
                Original Paper
                Original Paper

                diabetes mellitus,self-care,mobile applications,telemedicine

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