ReviewEffectiveness of mobile applications in diabetic patients’ healthy lifestyles: A review of systematic reviews
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
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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
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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.
References (59)
- et al.
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
Lancet
(2015) - et al.
Prevention and management of type 2 diabetes: dietary components and nutritional strategies
Lancet
(2014) - et al.
Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: a systematic review
Diabetes Res. Clin. Pract.
(2017) - et al.
A systematic review of application and effectiveness of mHealth interventions for obesity and diabetes treatment and self-management
Adv. Nutr. An. Int. Rev. J.
(2017) - et al.
Lifestyle interventions based on the diabetes prevention program delivered via eHealth: a systematic review and meta-analysis
Prev. Med.
(2017) - et al.
Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence
J Diabetes Complications.
(2014) - et al.
Evidence-based mobile medical applications in diabetes
Endocrinol. Metab. Clin. North Am.
(2016) - et al.
The effects of mobile health interventions on lipid profiles among patients with metabolic syndrome and related disorders: a systematic review and meta-analysis of randomized controlled trials
Diabetes Metab. Syndr.
(2019) - et al.
Mobile health applications for chronic diseases: a systematic review of features for lifestyle improvement
Diabetes Metab. Syndr.
(2019) - et al.
Trends in tobacco use among US adults with chronic health conditions: national Survey on Drug Use and Health 2005-2013
Prev. Med. (Baltim).
(2016)
Welltang – A smart phone-based Diabetes management Application—improves blood glucose control in Chinese people with Diabetes
Diabetes Res. Clin. Pract.
IDF Diabetes Atlas
Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015
Lancet
Consensus on use of the term “App” versus “Application” for reporting of mHealth research
J. Med. Internet Res.
Standards of medical care in diabetes 2020
Diabetes Care
mHealth: New horizons for health through mobile technologies
Global Observatory for eHealth Series
Using mobile health (mHealth) technology in the management of diabetes mellitus, physical inactivity, and smoking
Curr. Atheroscler. Rep.
Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines
J. Med. Internet Res.
Mobile health technology in the prevention and management of Type 2 diabetes
Indian J. Endocrinol. Metab.
The effectiveness of self-management mobile phone and tablet apps in long-term condition management: a systematic review
J. Med. Internet Res.
Do health information technology self-management interventions improve glycemic control in medically underserved adults with diabetes? A systematic review and meta-analysis
J. Am. Med. Inform. Assoc.
A systematic and integrated review of mobile-based technology to promote active lifestyles in people with type 2 diabetes
J. Diabetes Sci. Technol.
Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus
Cochrane Database Syst. Rev.
Effectiveness of the mHealth technology in improvement of healthy behaviors in an elderly population-a systematic review
mHealth
A review of technology-assisted interventions for diabetes prevention
Curr. Diab. Rep.
mHealth for diabetes support: a systematic review of Apps available on the Italian market
mHealth
Application of diabetes phone recipe software in diet intervention for patients with type 2 diabetes
Chinese Nurs. Res.
T2DM self-management via smartphone applications: a systematic review and meta-analysis. Barengo NC, editor
PLoS One
Use of mobile health technology in the prevention and management of diabetes mellitus
Curr. Cardiol. Rep.
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