JMIR Diabetes

Emerging technologies, medical devices, apps, sensors, and informatics to help people with diabetes

Editor-in-Chief:

Ricardo Correa, MD, EdD (Co-Editor-in-Chief), Cleveland Clinic, United States

Sheyu Li, MD (Co-Editor-in-Chief), West China Hospital, Sichuan University, China


CiteScore 4

JMIR Diabetes (ISSN 2371-4379) is a PubMed, PubMed Central, DOAJ, and Scopus indexed journal.

JMIR Diabetes focuses on technologies, medical devices, apps, engineering, informatics and patient education for diabetes prevention, self-management, care, and cure, to help people with diabetes. We also accept papers that do not have a digital health component but represent a significant innovation for diabetes prevention and care.

We publish original research, viewpoints, and reviews (both literature reviews and medical device/technology/app reviews) covering, for example, wearable devices and trackers, mobile apps, glucose monitoring (including emerging technologies such as Google contact lens), medical devices for insulin and metabolic peptide delivery, closed loop systems and artificial pancreas, telemedicine, web-based diabetes education and elearning, innovations for patient self-management and "quantified self", diabetes-specific EHR improvements, clinical or consumer-focused software, diabetes epidemiology and surveillance, crowdsourcing and quantified self-based research data, new sensors and actuators to be applied to diabetes.

As an Open Access journal, JMIR Diabetes is read by clinicians and patients alike and have (as all JMIR Publications journals) a focus on readable and applied science reporting the design and evaluation of health innovations and emerging technologies, as well as on diabetes prevention and epidemiology.

 

Recent Articles

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Telemedicine for Diabetes

In home remote foot temperature monitoring (RTM) holds promise as a method to reduce foot ulceration in high-risk patients with diabetes. Few studies have evaluated adherence to this method, or evaluated factors associated with non-compliance.

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Diabetes Surveillance and Epidemiology

Importance: Type 2 diabetes mellitus (T2D) is a common health issue, with heart failure (HF) being the common and lethal long-term complication. Although insulin is widely used for the treatment of T2D, evidence regarding the efficacy of insulin compared to non-insulin therapies on incident heart failure risk is missing among randomized clinical trials. Real-world evidence on insulin’s effect on long-term heart failure may supplement existing guidelines on the management of T2D.

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Apps, Mobile, Wearables for Diabetes

Mobile apps designed with cultural sensitivity have demonstrated higher user acceptability and greater effectiveness in enhancing self-care skills. However, a significant gap exists in developing such apps for specific populations, such as Portuguese Americans living in southern Massachusetts, home to the second-largest Portuguese community in the United States. This group possesses unique cultural traditions, particularly in dietary practices, including a tendency toward high carbohydrate intake. Tailoring diabetes self-care apps to address these specific cultural requirements could substantially improve diabetes management within this population.

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Diabetes Self-Management

Patients with diabetes experience worse health outcomes and greater health care expenditure. Improving diabetes outcomes requires involved self-management. Peer coaching programs can help patients engage in self-management while addressing individual and structural barriers. These peer coaching programs can be scaled with digital platforms to efficiently connect patients with peer supporters who can help with diabetes self-management.

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Patient Experiences with Diabetes Technology

Despite the existence of an increasing array of digital technologies and tools for diabetes management, there are disparities in access to and uptake and use of continuous glucose monitoring (CGM) devices, particularly for those most at risk of poor diabetes outcomes.

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Telemedicine for Diabetes

Children and adolescents with type 1 diabetes require frequent outpatient evaluation to assess glucose trends, modify insulin doses, and screen for comorbidities. Continuous glucose monitoring (CGM) provides a detailed glycemic control assessment. Telemedicine has been increasingly used since the COVID-19 pandemic.

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Diabetes-specific EHR Improvements

Electronic medical record (EMR) systems have the potential to improve the quality of care and clinical outcomes for individuals with chronic and complex diseases. However, studies on the development and use of EMR systems for type 1 (T1) diabetes management in sub-Saharan Africa are few.

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Diabetes-specific EHR Improvements

Community health centers (CHCs) are safety-net health care facilities in the United States that provide care for a substantial number of low-income, non-English speaking adults with type 2 diabetes (T2D). Whereas patient portals have been shown to be associated with significant improvements in diabetes self-management and outcomes, they remain underused in CHCs. In addition, little is known about the specific barriers to and facilitators of patient portal use in CHCs and strategies to address the barriers.

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Diabetes Reviews and Scoping Studies

The widespread use of mobile technologies in health care (mobile health; mHealth) has facilitated disease management, especially for chronic illnesses such as diabetes. mHealth for diabetes is an attractive alternative to reduce costs and overcome geographical and temporal barriers to improve patients’ conditions.

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Diabetes Surveillance and Epidemiology

A significant percentage of the Nigerian population has type 2 diabetes (T2D), and a notable portion of these patients also live with comorbidities. Despite its increasing prevalence in Nigeria due to factors such as poor eating and exercise habits, there are insufficient reliable data on its incidence in major cities such as Port Harcourt, as well as on the influence of sociodemographic factors on current self-care and collaborative T2D care approaches using technology. This, coupled with a significant lack of context-specific digital health interventions for T2D care, is our major motivation for the study.

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Artificial Intelligence in Diabetes Care and Prevention

Diabetic ketoacidosis (DKA) is the leading cause of morbidity and mortality in pediatric type 1 diabetes (T1D), occurring in approximately 20% of patients, with an economic cost of $5.1 billion/year in the United States. Despite multiple risk factors for postdiagnosis DKA, there is still a need for explainable, clinic-ready models that accurately predict DKA hospitalization in established patients with pediatric T1D.

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Preprints Open for Peer-Review

There are no preprints available for open peer-review at this time. Please check back later.

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