Elsevier

Primary Care Diabetes

Volume 15, Issue 5, October 2021, Pages 751-760
Primary Care Diabetes

Review
Effectiveness of mobile applications in diabetic patients’ healthy lifestyles: A review of systematic reviews

https://doi.org/10.1016/j.pcd.2021.07.004Get rights and content

Highlights

  • Apps improve glycemic control in patients with DM in the short term.

  • Apps do not improve glycemic control in patients with DM in the long term.

  • The Apps examined focused on diet and physical exercise.

  • No significant adverse effects were identified for the users of the Apps.

Abstract

Objective

(1) Examine the mobile applications that address lifestyles to improve the metabolic control of adult patients with diabetes mellitus. (2) Describe the characteristics of the used mobile applications, identify the healthy lifestyles they target, and describe any of their adverse effects.

Methods

Review systematic reviews. We included studies that used any mobile application to help patients improve diabetes mellitus self-management by focusing on healthy lifestyles. Studies needed to include a control group receiving regular care with no mobile devices. In May 2018, Medline, Embase, Cochrane, LILACS, PsychINFO, Cinahl and Science Direct were searched, updated in June 2021. The methodological quality of the studies was assessed by the Amstar-2 tool.

Results

First 804 articles were analyzed to select 17 systematic reviews, of which the methodological quality of seven was high or moderate. Interventions lasted 1−12 months. Twenty-three different mobile applications were identified that were all related to eating and physical activity. Significant changes were noted in HbA1c values. No clear improvement was observed for weight/BMI, lipid profile, quality of life or blood pressure. No adverse effects were found.

Conclusions

Managing the lifestyle of patients with diabetes using mobile applications improves short-term glycemic control, but the long-term results are not conclusive. The identified mobile applications focus on food and physical activity. Most are free. No adverse effects caused by using them were identified.

PROSPERO register

CRD42019133685

Introduction

The International Diabetes Federation estimates some 425 million people are diagnosed with diabetes mellitus (DM) worldwide, whose prevalence will rise to 693 million by 2045 [1]. It is well-known that DM significantly increases cardiovascular risk and is usually associated with unhealthy lifestyle; e.g. being overweight, obesity, smoking, unbalanced diet, sedentary lifestyle [2,3]. For these reasons, DM is currently a major public health problem worldwide [4].

The rapid progress in information technology in recent years has enabled the creation of software extensions, popularly known as mobile applications (Apps) that users can add to their mobile devices (Apps). These tools are being increasingly employed to manage different health matters. In 2018, more than 100,000 such applications were available to make users’ health self-care easier [5].

The main aim of treating DM is to prevent or delay the onset of microvascular and macrovascular complications due to suitable metabolic control, where practicing healthy lifestyles is fundamental [6]. This therapeutic objective has been dealt with in the conventional health context by the doctor-patient relationship. At present, the mobile apps used for the same purpose are revolutionizing this traditional care model.

Given the substantial progress made in recent years in non face-to-face healthcare, in 2011 the World Health Organization defined the "m-health" concept as the practice of medicine and public health supported by the use of mobile devices (mobile phones, patient monitoring devices, personal digital assistants and other wireless devices) [7]. Apps allow prevention, diagnosis and treatment activities to be performed, and act as a way for professionals and patients to communicate [8].

The systematic reviews published to date about the effectiveness of using Apps to favor healthy lifestyles offer opposing and non conclusive results. Some reviews offer positive results [[9], [10], [11], [12], [13]], and the majority conclude that more research studies are necessary to assess their real effectiveness [[14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25]], while a few reviews state that these types of intervention are not effective [26,27].

Moreover, differences in facilitating elements and barriers have been described with the population using digital health platforms, which means that their accessibility and acceptability are not universal [28]. Accordingly, as part of its Action Plan on electronic health (eHealth) 2012–2020 and the Digital Agenda, the European Commission has published the “Green Paper on mobile health”, with which it intends to conduct a public consultation on current obstacles and problems related to implementing mobile health to help it reach its full potential [29].

For this review, we considered the self-control concept of DM “as the process of facilitating the knowledge, skill and ability necessary for diabetes self-care”. Its ultimate objective is to improve patients’ clinical outcomes, health status and quality of life [30]. It also attempts to answer the question: are mobile applications that deal with lifestyles to improve the metabolic control of adult patients with DM effective?

In line with this question, we consider that the main objective is to examine mobile applications that address lifestyles to improve the metabolic control of adult patients with DM. As secondary objectives, we aim to describe the characteristics of the employed apps, identify the healthy lifestyle aspect they target, and describe any adverse effects of their uses.

Section snippets

Design

Systematic reviews were reviewed to make an overall evaluation of the many Apps available on the market to manage the lifestyle of patients with DM.

This type of design allows not only relevant reviews to be compared and verified for similar review questions, but also provides an easy means by which to clearly understand a broad theme area [31]. The guidelines of the Cochrane Collaboration [32] and of Joanna Briggs’ Institute [33] were followed. This manuscript was written according to the

Sources of information and search strategy

Having identified the descriptors and terms in natural language, a search was made in these electronic databases: Medline (1950–2021) Embase (1974–2021), Cochrane (1992–2021), Lilacs (1982–2021), PsychINFO (1967–2021), Cinahl (1937–2021) and Science Direct (1970–2021).

The search strategy for the Medline database is described in Multimedia Appendix 1.

The search in the sources of gray literature and unpublished studies was made in: Open Grey, ProQuest Dissertations & Theses Global, Theseo,

Results

Fig. 1 describes the process by which articles were selected according to the PRISMA proposal.

The initial literature search gave 804 articles, and 23 of them were eliminated for being duplicated. Then 57 articles were selected by title and abstract, and 39 were removed for not meeting the inclusion criteria. This left 18 articles whose full texts were evaluated, 11 of which were ruled out because their methodological quality was poor (Table 1). Hence this systematic review includes seven review

Primary outcome measures

  • HbA1c

In order to evaluate glycemic control, Hba1c was included as an outcome variable in six of the seven selected systematic reviews.

The effectiveness of Apps in improving HbA1c by dealing with lifestyles of patients with DM provided contradictory results. In one review, more than half the studies reported not significantly lowering HbA1c values [27], and two meta-analysis reported lowering HbA1c by −0.32% (P < 0.01) [14] and −0.44% (P < 0.01) [41] on average.

Some other reviews analyzed if

Secondary outcome measures

  • Quality of life

Two reviews indicated no significant improvement for this variable [14,45]. However, another review obtained positive outcomes for quality of life insofar as hyperglycemia episodes reduced, social relations improved and hypoglycemia was less feared [41].

  • Blood pressure

Inconsistent results were obtained, although one review indicated a mean reduction in systolic blood pressure (SBP) −7 mmHg (P < 0.01) and diastolic blood pressure (DBP) −4 mmHg (P < 0.01) [57]. Other reviews

Discussion

This research work aimed to provide an overview of the effectiveness of using mobile Apps to improve DM control and management by dealing with quality of life. It also evaluated the possible adverse effects that could be caused by employing them.

Twenty-three Apps for managing DM1 and DM2 were found, which addressed food and physical activity components either separately or together. Their effectiveness in improving glycemic control was significant in the short term (<12 months). However,

Strong points and limitations

The present review includes several strong points:

First, the applied design allows the comparison and verification of reviews relevant to review issues on the same topic, while providing a simple means of clearly understanding a broad topic area [31]. Compared to a systematic review that is limited to one treatment or one intervention, this review provides a much broader vision of many interventions and is very useful for evaluating health technology which aims to inform about guidelines for

Implications for clinical practice

Using Apps to control DM seems to reinforce the self-care perception by providing diabetic patients with better health information and education. It might also increase patients’ security as to how they manage their disease, mainly by reducing the fear of not knowing how to treat possible hypoglycemia episodes [49,59] and by improving their quality of life [41].

Until quite recently, the growth and early use of technology tended to lie mainly in healthcare suppliers’ hands. Nowadays, the digital

Conclusions

The results of the present review support employing Apps to improve short-term glycemic control in DM patients. Nevertheless, it is not possible to determine their long-term effect. More and better research needs to be conducted to know the effects of using Apps to manage DM patients’ lifestyle mainly in the long term because it is a chronic disease with long-term disease progression.

As the examined Apps centered mainly on food and physical activity, it is necessary to know the effectiveness of

Author contributions

All the authors were involved in drafting the manuscript. They all contributed to develop the selection criteria, the bias risk assessment strategy and the data extraction criteria. AAMQ developed the search strategy. ACF provided her experience in technology assessment. FJRC provided his experience in research into DM. All the authors read, provided comments on and approved the final manuscript.

Funding sources

This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Conflicts of interest

None declared.

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