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The landscape of diabetes management has undergone a remarkable transformation with the emergence of mobile health applications. These digital tools represent more than just technological novelty—they embody a fundamental shift in how individuals with diabetes can take control of their health. As smartphones have become ubiquitous, diabetes apps have evolved into sophisticated platforms offering comprehensive support for blood glucose monitoring, medication adherence, lifestyle modification, and patient education. Understanding the scientific evidence behind these applications is crucial for healthcare providers, patients, and policymakers seeking to leverage technology for improved diabetes outcomes.
The Current State of Diabetes App Research
Despite advancements in digital health, systematic evaluations of mobile applications for diabetes management are limited. However, the body of research examining these tools has grown substantially in recent years. Digital tools have been increasingly integrated into diabetes care, demonstrating some positive outcomes. The challenge lies in synthesizing this growing evidence base to understand what works, for whom, and under what circumstances. Current reviews suggest that many diabetes apps are effective in lowering HbA1c. This finding is significant because hemoglobin A1c (HbA1c) serves as the gold standard measure for long-term blood glucose control and is directly linked to the risk of diabetes complications. App use led to a significant decrease in the HbA1C level by 0.6%, 0.3%, 1.3%, and 0.9% in various studies, demonstrating clinically meaningful improvements in glycemic control. Digital diabetes management technologies can effectively regulate blood glucose levels, improve glucose metabolism, and reduce BMI in patients with T2DM. These findings suggest that mobile apps can address multiple aspects of diabetes management simultaneously, offering a holistic approach to disease control that extends beyond simple glucose monitoring.Clinical Effectiveness: What the Evidence Shows
Impact on Glycemic Control
The primary measure of diabetes management success is glycemic control, typically assessed through HbA1c levels. Multiple systematic reviews and meta-analyses have examined whether diabetes apps can meaningfully improve this critical outcome. The evidence suggests a cautiously optimistic picture.
The primary outcome of interest was the modification of hemoglobin A1c (HbA1c). Research examining randomized controlled trials has found that app-based interventions can produce statistically significant reductions in HbA1c levels. However, the magnitude of these improvements varies considerably across studies, influenced by factors such as intervention design, user engagement, and baseline characteristics of participants.Not all studies have demonstrated positive effects. Some research did not find any statistically significant difference in outcomes between app users and control groups, with HbA1c values essentially not changing in either group. These mixed results highlight the importance of understanding not just whether apps work, but why some interventions succeed while others fail.
Effects on Weight and Metabolic Parameters
Beyond blood glucose control, diabetes apps have been evaluated for their impact on other important health outcomes. Weight management is particularly crucial for individuals with type 2 diabetes, as excess weight contributes to insulin resistance and makes glycemic control more difficult.
Apps were effective at promoting weight loss [mean difference (MD) −1.85; 95% CI −2.90 to −0.80] and decreasing BMI [MD −0.90, 95% CI −1.53 to −0.27]. These findings from meta-analyses of randomized controlled trials demonstrate that smartphone applications can support meaningful weight reduction when used as part of diabetes prevention or management strategies.However, the effects on other metabolic parameters have been less consistent. Some studies have found no significant differences in cholesterol levels, triglycerides, or other cardiovascular risk factors between app users and control groups. This suggests that while apps can effectively support certain self-management behaviors, they may need to be more specifically designed or combined with other interventions to address the full spectrum of metabolic abnormalities associated with diabetes.
Physical Activity and Lifestyle Modification
Physical activity is a cornerstone of diabetes management, yet motivating sustained behavior change remains challenging. Several studies have specifically examined whether diabetes apps can increase physical activity levels among users.
Some research found no evidence that persons with type 2 diabetes being randomized to use an app promoting daily walking increased their levels of MVPA at 3 or 6 months’ follow-up compared with controls receiving standard care. This finding underscores an important reality: simply providing a technological tool does not automatically translate into behavior change. Further research is needed to determine what type of mHealth intervention could be effective to increase physical activity among persons with type 2 diabetes. The challenge lies in designing interventions that not only track activity but also effectively motivate and sustain increased physical activity over time.Key Features That Drive Effectiveness
Understanding which app features contribute most to positive outcomes is essential for developing more effective interventions. Research has identified several key components that appear to enhance the effectiveness of diabetes management apps.
Blood Glucose Monitoring and Tracking
The ability to log and monitor blood glucose levels remains one of the most fundamental features of diabetes apps. However, the effectiveness of this feature depends on how it is implemented and supported.
Studies demonstrated that more frequent home blood glucose monitoring improved blood glucose control in home-based patients with T2DM, and the digital diabetes management technology notably enhanced blood glucose control. The frequency of self-monitoring appears to be a critical factor, with 4 to 8 measurements per day being the most effective.Simply tracking glucose levels is not sufficient on its own. A systematic review found that SMBG without support from HCPs did not yield significant clinical benefits. This finding emphasizes that technology must be integrated with human support and clinical guidance to maximize its effectiveness.
Healthcare Provider Communication and Support
One of the most important features distinguishing effective diabetes apps from less effective ones is the integration of healthcare provider support and communication.
Effective digital health interventions share a common characteristic: frequent patient engagement in SMBG, supported by HCPs who provide timely and personalized guidance. This finding highlights that diabetes apps work best not as standalone tools but as facilitators of enhanced patient-provider communication and collaborative care. The most effective technology-enabled diabetes self-management solutions incorporated 2-way communication, personal data analysis, tailored education, and individualized feedback. These elements work synergistically to create a comprehensive support system that addresses both the technical aspects of diabetes management and the human need for guidance and encouragement.Medication Reminders and Adherence Support
Medication adherence is a persistent challenge in diabetes management, with many patients struggling to take medications consistently as prescribed. Apps can play a valuable role in addressing this issue through reminder systems and adherence tracking.
Medication Adherence Applications are primarily directed toward medication management through automated calculation, analysis, and cloud storage, and action plans have proven effective in improving medication adherence and routine self-monitoring. These features help patients remember to take medications on time and adjust insulin doses appropriately based on blood glucose readings.However, the effectiveness of medication adherence features may vary across different populations and contexts. In some cultural contexts, patients show lower acceptance of message-based services, which may limit intervention effectiveness. This finding underscores the importance of cultural adaptation and personalization in app design.
Educational Content and Self-Management Support
Education is a fundamental component of diabetes care, empowering patients with the knowledge they need to make informed decisions about their health. Diabetes apps can serve as portable educational resources, providing information when and where patients need it.
The use of apps that comprise self-management functions (healthy eating, activity, monitoring, medication, risk reduction, problem solving, and healthy coping) has been shown to improve the daily lives of patients with diabetes, and improve HbA1C levels and self-efficacy. This comprehensive approach to self-management support addresses the multiple dimensions of living with diabetes.The quality of educational content varies widely across available apps. The overall quality of diabetes apps was rated as moderate, with shortcomings in the subcategories of engagement and information quality, and scientific evidence is available for only 8% of the apps. This gap between the number of available apps and those with evidence-based content represents a significant challenge for patients and providers trying to identify high-quality options.
Data Sharing and Integration
The ability to share data with healthcare providers represents a crucial bridge between self-management and professional care. Apps that facilitate seamless data sharing can enhance the quality of clinical consultations and enable more informed treatment decisions.
Data sharing features allow healthcare providers to review patients’ glucose patterns, medication adherence, and lifestyle behaviors between appointments. This continuous monitoring capability can help identify problems early and enable timely interventions before complications develop. However, the effectiveness of data sharing depends on healthcare systems having the infrastructure and workflows to incorporate app-generated data into routine clinical practice.
User Engagement and Adoption Patterns
Even the most well-designed app will fail to deliver benefits if patients do not use it consistently. Understanding patterns of user engagement and the factors that influence adoption is critical for maximizing the real-world impact of diabetes apps.
Current Usage Rates
Research revealed that 14.9% to 54.9% of participants across studies reported current usage of mHealth applications, with the pooled overall prevalence of mHealth application usage for diabetic self-management determined to be 35%. This relatively modest adoption rate suggests significant room for growth, but also highlights barriers that prevent wider uptake.Interest in using diabetes apps appears higher than actual usage. The overall pooled prevalence of individuals interested in using the mHealth application for their diabetic self-management in the future was 57%. This gap between interest and actual use suggests that barriers to adoption may be more about access, awareness, or usability than fundamental lack of interest in digital health tools.
The Dropout Challenge
One of the most significant challenges facing diabetes apps is user retention over time. Many studies have documented substantial dropout rates, with users abandoning apps after initial enthusiasm wanes.
Applicability of smartphone-based digital health in diabetes management still face challenges due to low user retention or engagement. This problem is not unique to diabetes apps but represents a broader challenge in digital health interventions. Understanding why users disengage and developing strategies to maintain long-term engagement is essential for realizing the full potential of these tools. Pooled dropout rates were high in studies recruiting participants from the minority groups despite the cultural adaptation. This finding highlights that engagement challenges may be particularly acute for certain populations, suggesting the need for targeted strategies to support sustained use among diverse user groups.Factors Influencing Acceptance and Use
Acceptability and acceptance among patients with T2DM is a major challenge and prerequisite for the successful implementation of apps in diabetes care. Multiple factors influence whether patients will adopt and continue using diabetes apps. Personal health was the main driver of app use, and most users were convinced that a healthy lifestyle would improve blood glucose levels. This intrinsic motivation appears to be a key factor in sustained engagement. However, the additional effort to familiarize themselves with the app use was experienced as quite high. This suggests that reducing the learning curve and improving usability could enhance adoption rates. None of the users had a health care professional who provided suggestions on using the apps, and reimbursement from insurance companies and the acceptance of apps by the health care system were mentioned as important facilitating conditions. These findings point to systemic barriers that extend beyond the apps themselves, highlighting the need for healthcare system changes to support digital health integration.Limitations and Challenges in Current Research
While the evidence base for diabetes apps has grown substantially, significant limitations and challenges remain that must be addressed to advance the field.
Methodological Concerns
Although there are almost half a million mobile health apps available for download, there are far fewer randomized controlled trials, case-control studies, and cohort studies that have evaluated whether app-based interventions improve health-related behaviors. This disconnect between the proliferation of apps and the evidence supporting them represents a fundamental challenge in the field. Recommendations for future research include reporting critical details such as patient demographics and intervention elements and designing studies to identify the most effective components of diabetes management apps. Many existing studies lack sufficient detail about intervention components, making it difficult to understand which specific features or approaches drive positive outcomes. Due to the variation in intervention strategies, frequencies, and content across the included studies, future research should prioritize multicenter, large-sample, high-quality randomized controlled trials to refine and standardize these interventions. The heterogeneity of existing research makes it challenging to draw definitive conclusions about best practices.The Moving Target Problem
One of the reasons there are so few published RCTs of digital health is that a product is never “frozen” in time like a medication; program developers are constantly improving the app. This creates unique challenges for research, as the version of an app studied in a clinical trial may differ substantially from the version available to consumers by the time results are published.This dynamic nature of digital health interventions requires new approaches to evaluation that can keep pace with rapid technological change while still maintaining scientific rigor. Traditional clinical trial methodologies may need to be adapted to accommodate the iterative development cycles characteristic of software products.
Lack of Evidence-Based Apps
A critical gap exists between the apps available in commercial app stores and those with scientific evidence supporting their effectiveness. Most diabetes apps have never been evaluated in rigorous clinical studies, leaving patients and providers without reliable information about which apps are most likely to be beneficial.
Clearly labeling apps that have data supporting clinical efficacy in app stores would allow both providers and patients to easily identify apps that might be most beneficial. Currently, no standardized system exists for distinguishing evidence-based apps from those that are simply commercially available, making it difficult for users to make informed choices. Results indicate security concerns, lack of content founded upon validated theories, deficient educational information and limited implementation of behavior change techniques. These quality concerns highlight the need for better standards and oversight in the diabetes app marketplace.Privacy and Security Concerns
Diabetes apps collect sensitive health information, raising important questions about data privacy and security. Users may be reluctant to adopt apps if they have concerns about how their personal health data will be used, stored, or shared.
Because the majority of mobile health apps are not subject to regulation, data for assessment of accuracy often may not be available. This lack of regulatory oversight extends to privacy and security practices, creating potential risks for users. Establishing clear standards for data protection and transparency about data practices could help address these concerns and build user trust.Limited Representation of Diverse Populations
Socially disadvantaged groups were poorly represented in research studies examining diabetes apps. This lack of diversity in research populations raises questions about whether findings from existing studies can be generalized to all people with diabetes. Future research should prioritize localization and cultural adaptation strategies, and researchers should develop differentiated interventions for populations with diverse socioeconomic and cultural backgrounds. Ensuring that diabetes apps are effective across diverse populations requires intentional efforts to include underrepresented groups in research and to design interventions that are culturally appropriate and accessible.Special Considerations for Different Populations
Type 1 vs. Type 2 Diabetes
While both type 1 and type 2 diabetes involve challenges with blood glucose control, the management approaches differ substantially. Type 1 diabetes requires insulin therapy from diagnosis, while type 2 diabetes may initially be managed with lifestyle modifications and oral medications.
98% of adult patients with diabetes have type 2 diabetes, however, type 1 diabetes places an enormous burden on society and is expected to rapidly increase since its onset occurs at a young age. Despite this significant burden, children with type 1 diabetes require lifelong insulin treatment and self-management; therefore, there is an urgent need for the active development and use of mobile apps for young patients with type 1 diabetes.Apps designed for type 1 diabetes often focus heavily on insulin dosing calculations, carbohydrate counting, and integration with continuous glucose monitors. In contrast, apps for type 2 diabetes may emphasize lifestyle modification, medication adherence, and weight management. Understanding these different needs is essential for developing targeted interventions.
Age-Related Considerations
In research studies, 96% of participants were aged ≥50 years, and previous research has shown that age is associated with both the intention to use apps and performance expectancy. This age distribution in research populations may not reflect the full spectrum of people with diabetes who could benefit from apps.Older adults may face unique challenges in adopting and using diabetes apps, including less familiarity with smartphone technology, vision or dexterity issues that affect usability, and different preferences for health information delivery. Designing apps that are accessible and appealing to older users while also meeting the needs of younger populations requires careful attention to user experience across age groups.
Diabetes Prevention
Future research should explore the use of apps for the prevention of diabetes in individuals diagnosed with prediabetes. While most research has focused on people already diagnosed with diabetes, apps may also play an important role in preventing progression from prediabetes to type 2 diabetes. Smartphone apps have a promising effect on preventing type 2 diabetes by supporting weight loss. Given that lifestyle modification can significantly reduce the risk of developing type 2 diabetes in high-risk individuals, apps that effectively support weight loss and increased physical activity could have substantial public health impact.Integration into Clinical Practice
For diabetes apps to achieve their full potential, they must be effectively integrated into routine clinical care rather than existing as standalone consumer products disconnected from the healthcare system.
Current Integration Challenges
Although there is a wide array of mobile health apps for T2DM available at present, apps are not yet integrated into routine diabetes care. This lack of integration represents a significant missed opportunity to leverage technology for improved patient outcomes. None of the studies reviewed aimed to address the integration of diabetes mellitus mobile apps in routine clinical practice as part of their treatment regimen, and researchers should present a framework for prescription apps to address this problem. Developing clear pathways for healthcare providers to recommend specific apps and incorporate app-generated data into clinical decision-making is essential.The Role of Healthcare Providers
Questions exist about how physicians and other HCPs can maintain an adequate understanding of commonly used apps in order to provide guidance to people with diabetes. Healthcare providers need education and resources to help them stay informed about available apps and make appropriate recommendations to patients.Providers also need workflows and tools that allow them to efficiently review and act on data generated by patient apps. Without systems to support this integration, app-generated data may go unused, limiting the potential benefits of these technologies.
Reimbursement and Policy Considerations
Financial barriers can limit access to diabetes apps, particularly for high-quality apps that charge subscription fees. Insurance coverage and reimbursement policies play a crucial role in determining which patients can access evidence-based digital health tools.
Some countries have begun developing frameworks for prescribing and reimbursing digital health applications. These “prescription app” models create pathways for healthcare providers to recommend specific evidence-based apps that are then covered by insurance. Expanding such models could improve access to high-quality diabetes apps while also incentivizing developers to invest in rigorous evaluation of their products.
Design Principles for Effective Diabetes Apps
Based on the accumulated evidence, several key principles emerge for designing diabetes apps that are more likely to be effective and engaging.
User-Centered Design
Paid apps were more likely than free apps to use health literate design strategies such as using plain language, labeling links clearly, and having a “back” button, perhaps because more effort was undertaken to conduct formative research and usability testing. Investing in user research and iterative design processes can significantly improve app usability and user satisfaction. The degree of acceptability and acceptance of mobile health apps can vary per app and per patient, related to personal characteristics, preferences, needs, and experiences. This variability underscores the importance of personalization and flexibility in app design, allowing users to customize features and content to match their individual needs and preferences.Behavior Change Techniques
When designing a lifestyle intervention, it is critical to view it as requiring a behavioral change, a perspective that was not used in some interventions. Effective diabetes apps must go beyond simply providing information or tracking tools—they must actively support behavior change through evidence-based techniques.Behavior change techniques that have shown promise in diabetes apps include goal setting, self-monitoring, feedback, social support, and rewards. Incorporating multiple complementary techniques may be more effective than relying on any single approach. Apps should also help users develop problem-solving skills and coping strategies for managing the challenges of living with diabetes.
Engagement and Motivation
Maintaining user engagement over time is one of the greatest challenges facing diabetes apps. Design strategies to enhance engagement include gamification elements, social features that connect users with peers, personalized content and recommendations, and varied interaction modes to prevent monotony.
Apps should also provide meaningful feedback that helps users understand the connection between their behaviors and health outcomes. Seeing tangible results from their efforts can reinforce motivation and encourage continued engagement with self-management activities.
Quality and Credibility
Given concerns about the quality and accuracy of health information in many apps, establishing credibility is essential. Apps should clearly identify the sources of their health information, involve healthcare professionals in content development, and be transparent about any limitations or uncertainties.
Pursuing validation through clinical studies and obtaining relevant certifications or regulatory approvals can help distinguish high-quality apps from the multitude of unvalidated options. Making this evidence easily accessible to users and healthcare providers can facilitate informed decision-making about app selection.
Future Directions and Opportunities
Artificial Intelligence and Personalization
Future robust trials should explore the role of artificial intelligence in further personalizing interventions for higher engagement and effectiveness. AI technologies offer exciting possibilities for creating truly personalized diabetes management support that adapts to individual patterns, preferences, and needs.Machine learning algorithms could analyze patterns in users’ glucose data, activity levels, and other behaviors to provide increasingly accurate predictions and personalized recommendations. AI-powered chatbots could offer conversational support and coaching, making apps feel more interactive and responsive. However, ensuring that AI-enhanced apps are accurate, safe, and equitable will require careful development and validation.
Integration with Wearables and Sensors
The proliferation of wearable devices and continuous glucose monitors creates opportunities for diabetes apps to access richer, more continuous data streams. Apps that can integrate data from multiple sources—glucose monitors, activity trackers, smart scales, and other devices—can provide more comprehensive insights into factors affecting diabetes control.
This integration could enable more sophisticated analysis and feedback, helping users understand complex relationships between diet, activity, stress, sleep, and blood glucose levels. However, ensuring interoperability between different devices and platforms remains a technical challenge that the industry must address.
Addressing Health Equity
As diabetes apps become more sophisticated and widely adopted, ensuring equitable access and effectiveness across diverse populations must be a priority. This includes addressing barriers related to cost, digital literacy, language, cultural relevance, and accessibility for people with disabilities.
Developers should actively engage diverse communities in the design process and conduct research to ensure apps work effectively for populations that have historically been underserved by healthcare systems. Public health initiatives may be needed to provide access to smartphones and data plans for individuals who cannot afford them, ensuring that digital health innovations do not exacerbate existing health disparities.
Long-Term Effectiveness Studies
The long-term effectiveness and associated challenges of these tools in diabetes management remain areas for future research. Most existing studies have followed participants for relatively short periods, typically 3-6 months. Understanding whether benefits persist over years of use is crucial for assessing the true value of diabetes apps.Long-term studies should also examine effects on diabetes complications, healthcare utilization, quality of life, and cost-effectiveness. These outcomes are ultimately what matter most to patients and healthcare systems, yet they require extended follow-up periods to assess adequately.
Regulatory Evolution
As the diabetes app market matures, regulatory frameworks will likely continue to evolve. Finding the right balance between ensuring safety and effectiveness while not stifling innovation remains an ongoing challenge for regulators worldwide.
Some apps that make specific medical claims or perform functions similar to medical devices may warrant more stringent regulatory oversight. Others that provide general wellness support may be appropriate for lighter-touch regulation. Developing clear, risk-based regulatory pathways can help ensure patient safety while allowing beneficial innovations to reach users efficiently.
Practical Recommendations
For Patients
Individuals with diabetes considering using an app should look for several key features. Choose apps that have been evaluated in clinical studies when possible, as these are more likely to be effective. Look for apps that integrate with your healthcare provider’s systems or allow easy data sharing. Consider whether the app addresses your specific needs and goals, whether related to glucose monitoring, medication management, diet, exercise, or other aspects of diabetes care.
Start with realistic expectations about what an app can and cannot do. Apps are tools to support self-management, not replacements for medical care or magic solutions. Be prepared to invest time in learning to use the app effectively and establishing new routines. If you find an app isn’t meeting your needs, don’t hesitate to try alternatives—the best app is the one you’ll actually use consistently.
For Healthcare Providers
Healthcare providers should familiarize themselves with popular diabetes apps and be prepared to discuss digital health tools with patients. Consider developing a short list of evidence-based apps you can recommend to patients based on their individual needs and circumstances. Establish workflows for reviewing and incorporating app-generated data into clinical care.
Recognize that not all patients will be interested in or able to use diabetes apps. Digital health tools should complement, not replace, traditional approaches to diabetes education and support. For patients who do use apps, provide guidance on interpreting data and making appropriate adjustments to their diabetes management based on app insights.
For Developers
App developers should prioritize evidence-based design, incorporating features and approaches that research has shown to be effective. Invest in rigorous evaluation of your app through clinical studies, and make the results publicly available. Engage healthcare providers and people with diabetes throughout the development process to ensure the app meets real needs and is usable by your target audience.
Be transparent about your app’s capabilities and limitations. Clearly communicate what evidence supports your app’s effectiveness and what data practices you follow. Design for long-term engagement, not just initial downloads, by creating features that provide ongoing value and adapt to users’ changing needs over time.
For Policymakers
Policymakers should work to create frameworks that support the development and adoption of evidence-based diabetes apps while protecting patient safety and privacy. Consider reimbursement policies that provide coverage for validated digital health tools, reducing financial barriers to access. Support research funding for long-term effectiveness studies and implementation science to understand how to successfully integrate apps into healthcare systems.
Develop standards and certification programs that help patients and providers identify high-quality apps. Address digital equity concerns by ensuring that initiatives to promote digital health do not leave behind populations with limited access to technology or digital literacy skills.
Conclusion
The science behind diabetes apps reveals a complex and evolving picture. Evidence suggests that well-designed apps, particularly those that integrate healthcare provider support and incorporate evidence-based behavior change techniques, can improve glycemic control and support other aspects of diabetes self-management. However, significant challenges remain, including user engagement and retention, limited evidence for many available apps, integration into clinical practice, and ensuring effectiveness across diverse populations.
The field of diabetes apps is still relatively young, and many questions remain unanswered. As technology continues to advance and our understanding of what makes digital health interventions effective deepens, we can expect diabetes apps to become increasingly sophisticated and personalized. The integration of artificial intelligence, continuous glucose monitoring, and other emerging technologies promises to create even more powerful tools for diabetes management.
However, technology alone is not sufficient. The most effective diabetes apps will be those that successfully combine technological capabilities with human-centered design, evidence-based approaches to behavior change, and integration with healthcare systems and providers. Achieving this vision will require collaboration among researchers, developers, healthcare providers, policymakers, and most importantly, people with diabetes themselves.
For individuals living with diabetes, apps represent one tool among many for managing this complex condition. While not a panacea, when chosen wisely and used consistently, diabetes apps can provide valuable support for the daily work of diabetes self-management. As the evidence base continues to grow and apps continue to improve, these digital tools are likely to play an increasingly important role in helping people with diabetes achieve better health outcomes and improved quality of life.
The future of diabetes care will almost certainly include digital health technologies as core components. By continuing to rigorously evaluate these tools, learning from both successes and failures, and maintaining focus on what truly matters—improving the lives of people with diabetes—we can work toward a future where technology effectively supports the millions of individuals managing this challenging condition.
Additional Resources
For those interested in learning more about diabetes apps and digital health, several organizations provide valuable resources:
- The American Diabetes Association (https://www.diabetes.org) offers information about diabetes management and technology, including guidance on selecting and using diabetes apps.
- The European Association for the Study of Diabetes provides consensus reports and guidelines on diabetes technology, including mobile health applications.
- JMIR Publications (https://www.jmir.org) publishes peer-reviewed research on digital health, including numerous studies on diabetes apps and their effectiveness.
- The National Institute of Diabetes and Digestive and Kidney Diseases (https://www.niddk.nih.gov) provides evidence-based information about diabetes management and emerging technologies.
- Diabetes Technology Society offers resources on evaluating and using diabetes-related technologies, including mobile applications.
As the field continues to evolve, staying informed about new research findings and emerging technologies will help patients, providers, and other stakeholders make informed decisions about incorporating diabetes apps into comprehensive diabetes care strategies.