Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media

Kebede, Mihiretu; Pischke, Claudia R.

doi:10.3389/fendo.2019.00135

Cited by 92 publications

(66 citation statements)

References 62 publications

(63 reference statements)

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“…It is important to note that many of these apps have more than one feature, and not all are solely for managing diabetes. Earlier in 2019, Kebede and Pischke conducted a study that aimed to identify the most popular diabetes apps via a web-based survey among people with diabetes on social media [13].…”

Section: Introductionmentioning

confidence: 99%

Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group

Fleming¹,

et al. 2019

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Digital health technology, especially digital and health applications ('apps'), have been developing rapidly to help people manage their diabetes. Numerous health-related apps provided on smartphones and other wireless devices are available to support people with diabetes who need to adopt either lifestyle interventions or medication adjustments in response to glucose-monitoring data. However, regulations and guidelines have not caught up with the burgeoning field to standardise how mobile health apps are reviewed and monitored for patient safety and clinical validity. The available evidence on the safety and effectiveness of mobile health apps, especially for diabetes, remains limited. The European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) have therefore conducted a joint review of the current landscape of available diabetes digital health technology (only stand-alone diabetes apps, as opposed to those that are integral to a regulated medical device, such as insulin pumps, continuous glucose monitoring systems, and automated insulin delivery systems) and practices of regulatory authorities and organisations. We found that, across the USA and Europe, mobile apps intended to manage health and wellness are largely unregulated unless they meet the definition of medical devices for therapeutic and/or diagnostic purposes. International organisations, including the International Medical Device Regulators Forum and WHO, have made strides in classifying different types of digital health technology and integrating digital health technology into the field of medical devices. As the diabetes digital health field continues to develop and become more fully integrated into everyday life, we wish to ensure that it is based on the best evidence for safety and efficacy. As a result, we bring to light several issues that the diabetes community, including regulatory authorities, policymakers, professional organisations, researchers, people with diabetes and healthcare professionals, needs to address to ensure that diabetes health technology can meet its full potential. These issues range from inadequate evidence on app accuracy and clinical validity to lack of training provision, poor interoperability and standardisation, and insufficient data security. We conclude with a series of recommended actions to resolve some of these shortcomings.

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Section: Introductionmentioning

confidence: 99%

Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group

Fleming¹,

et al. 2019

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“…A mobile app was developed for the Chinese population to identify risk of developing diabetes through validated Chinese Finnish Diabetes Risk Score and the high‐risk app users improved their daily intake of vegetables and daily exercise after a 2‐year follow‐up (Leung et al., 2018). Nurses could make good use of these kinds of apps (Kebede & Pischke, 2019) to encourage people in prediabetic status to improve their lifestyle.…”

Section: Discussionmentioning

confidence: 99%

The relative risk of developing type 2 diabetes among individuals with prediabetes compared with individuals with normoglycaemia: Meta‐analysis and meta‐regression

Leung

Smith

et al. 2020

Journal of Advanced Nursing

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Aims To assess the overall relative risk of diabetes in individuals with prediabetes based on updated diagnostic criteria, as compared with individuals with normoglycaemia; and to identify the study characteristics associated with the heterogeneity between studies. Design Meta‐analysis, meta‐regression. Data sources PubMed, CINAHL, British Nursing Index. Search time frame: December 1998–December 2018. Review Methods The pooled relative risk of developing diabetes among individuals with prediabetes compared with those with normoglycaemia was calculated under a random effects model. Studies reported the natural progression from prediabetes to diabetes were included in this review. Sources of study heterogeneity were examined by a meta‐regression. Results Fifty‐nine eligible studies were systematically identified. The pooled relative risk for diabetes among individuals with prediabetes as compared with normoglycaemia was 5.88 (95% CI: 5.02‐6.89). The annualized incidence rate (per 1,000 person‐year) for diabetes among individuals with prediabetes defined by different criteria varied from 2.20–212.15, with high heterogeneity between studies (I2 = 96.64%, Q test: p < .001). In the multivariable meta‐regression analysis, Asian population significantly increased RR compare to Caucasians. Besides, people with ‘elevated glycated haemoglobin A1c or impaired fasting glucose’ had highest relative risk compare to people with other types of prediabetes. Conclusion Individuals with prediabetes had higher risk of developing diabetes than those with normoglycaemia. Races and diagnostic criteria of prediabetes were associated with the magnitude of the estimated risk. Impact Prediabetes is a precursor of diabetes. To screen people with prediabetes as early as possible, practitioners could consider haemoglobin A1c test as an alternative to fasting plasma glucose test. Nurses should educate people especially Asians with prediabetes for the prevention of progression to diabetes.

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“…widely used today in the health sector, especially for diabetics. 44,45 Because social media can be utilized to modernize strategies to reach all age groups and to adapt programs to current communication trends, all of which are offered at relatively low cost and using media online can provide convenience to users in disseminating health information visually as widely as possible with an attractive appearance. 46 However, to be able to use the technology is strongly influenced by institutional factors and managerial characteristics of health, 47 and the user is strongly influenced by several technical factors.…”

Section: Discussionmentioning

confidence: 99%

The Needs for Information and Education Media in Supporting Self-Management of Patients with Diabetes Mellitus

Sidiq¹,

Amos²,

Widdefrita³

et al. 2020

MKMI

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Diabetes mellitus is a chronic disease that has very high morbidity and mortality rate. This disease cannot be cured but can be controlled with good self-management. This research supports the need for appropriate information and educational media in supporting self-management of patien with diabetes mellitus. This research is qualitative and quantitative. The sample of this study was 105 people with diabetes. Data collection was conducted from July to November 2019 at 7 Puskesmas in Padang City, namely: Nanggalo, Lapai, Alai, Andalas, Ambacang, Kuranji, and Pauh, with interview questions and interviews. Qualitative data processing techniques with coding and data validity by triangulation and analyzed using data reduction, data presentation, and analysis. Quantitative data analysis uses SEM (Structural Equation Model) analysis with the Lisrel 8.7 program. The results showed that the informants were elderly (56-65 years), 60% had good self-management quality, 65% actively participated in chronic disease management programs, 49.5 did not have cellphones. All aspects of self-management, namely blood sugar testing, physical exercise, taking medicine, diet and health education, can be used as educational material. Research information shows the fact most still need information about self-management of diabetics and in the form of conventional media. Informants who use phones that are approved for Android-based self-management applications.

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Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media

Cited by 92 publications

References 62 publications

Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group

Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group

The relative risk of developing type 2 diabetes among individuals with prediabetes compared with individuals with normoglycaemia: Meta‐analysis and meta‐regression

The Needs for Information and Education Media in Supporting Self-Management of Patients with Diabetes Mellitus

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