Smartphone-Based Glucose Monitors and Applications in the Management of Diabetes: An Overview of 10 Salient "Apps" and a Novel Smartphone-Connected Blood Glucose Monitor

Mobile App Intervention Increases Adherence to Home Exercise Program After Whiplash Injury-A Randomized Controlled Trial (RCT)

OBJECTIVE

Can mobile app intervention via push notifications increase adherence to exercise and reduce disability and pain after a whiplash injury?

METHODS

A randomized controlled trial was conducted with concealed allocation, blinding of some assessors, and an intention-to-treat analysis. Participants who sustained whiplash injury at most 3 months prior were divided into active and control groups. Both groups completed a two-part physiotherapist-supervised physical therapy program (3-week break in between, ten sessions each, 5x/week). The program included TENS, therapeutic ultrasound, and exercises (breathing, ROM, deep neck flexor activation, and stretching). Both groups were encouraged to exercise at home. The active group additionally received push notifications through the mobile app once a day as a reminder to exercise. Outcomes were adherence to exercise (four-point Likert scale), physical functioning (NDI), pain intensity (VAS), perceived recovery (three-point Likert scale), work information, psychological functioning (PCS), and HRQoL (SF-12) at baseline and 6-month follow-up.

RESULTS

At month 6, when comparing the groups, the intervention group showed higher adherence to home exercise (3 [2-4] vs. 2 [2-4]; p = 0.005, median [IQR]) and improved HRQoL (∆SF-12) (20 [6-36] vs. 15 [9-23]; p = 0.038). Unlike the control group, the intervention group showed a significant decrease in pain catastrophizing (31%; p = 0.01). A multivariant analysis showed that mobile app intervention influenced adherence most (≈1 Likert point). The groups did not differ in NDI, pain VAS, perceived recovery, or work limitation.

CONCLUSIONS

Mobile app intervention increased adherence to home exercise, reduced pain catastrophizing, and increased HRQoL six months after a whiplash injury.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05704023.

Evaluation of Mobile Applications for Patients with Diabetes Mellitus: A Scoping Review

There has been increasing interest in mobile healthcare for diabetes management. However, there remains limited evidence regarding the effectiveness of these mobile applications (apps). This scoping review aimed to evaluate the clinical effectiveness of mobile diabetes management apps. We used the following search terms: "mobile app", "mobile application", and "diabetes". We included only articles written in English and published between January 2016 and August 2021. We identified two, six, and four articles focused on type 1 diabetes, type 2 diabetes, and both diabetes types, respectively. Five, four, and three of these studies reported on the apps' functionality, usability, and both, respectively. Our findings indicated that diabetes mobile apps allowed for convenient user experience and improved blood sugar levels in patients with diabetes. Considering these findings, usability must be comprehensively evaluated by using definitions such as the ISO9241-11 usability definition or the mobile application rating scale (MARS) when developing diabetes-related apps. For the feasibility of diabetes mobile apps, we recommend that HbA1C and self-management be included as evaluation variables. Given the increasing importance of continuous management for patients with diabetes, interventions using mobile apps are bound to become effective tools for patient-led self-management.

Digital health application integrating wearable data and behavioral patterns improves metabolic health

The effectiveness of lifestyle interventions in reducing caloric intake and increasing physical activity for preventing Type 2 Diabetes (T2D) has been previously demonstrated. The use of modern technologies can potentially further improve the success of these interventions, promote metabolic health, and prevent T2D at scale. To test this concept, we built a remote program that uses continuous glucose monitoring (CGM) and wearables to make lifestyle recommendations that improve health. We enrolled 2,217 participants with varying degrees of glucose levels (normal range, and prediabetes and T2D ranges), using continuous glucose monitoring (CGM) over 28 days to capture glucose patterns. Participants logged food intake, physical activity, and body weight via a smartphone app that integrated wearables data and provided daily insights, including overlaying glucose patterns with activity and food intake, macronutrient breakdown, glycemic index (GI), glycemic load (GL), and activity measures. The app furthermore provided personalized recommendations based on users' preferences, goals, and observed glycemic patterns. Users could interact with the app for an additional 2 months without CGM. Here we report significant improvements in hyperglycemia, glucose variability, and hypoglycemia, particularly in those who were not diabetic at baseline. Body weight decreased in all groups, especially those who were overweight or obese. Healthy eating habits improved significantly, with reduced daily caloric intake and carbohydrate-to-calorie ratio and increased intake of protein, fiber, and healthy fats relative to calories. These findings suggest that lifestyle recommendations, in addition to behavior logging and CGM data integration within a mobile app, can enhance the metabolic health of both nondiabetic and T2D individuals, leading to healthier lifestyle choices. This technology can be a valuable tool for T2D prevention and treatment.

Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps

Personal digital health apps for managing diabetes should include functions that enable the provision of pharmaceutical care services and allow within-app communication with pharmacists and other healthcare providers, thereby improving patient outcomes. The primary aim of this study was to assess the functions of diabetes apps that were relevant to providing pharmaceutical care services (i.e., medication management, adherence, non-pharmacological management, interoperability, and communication). Sixteen criteria related to pharmaceutical care were developed and then used to assess ten popular diabetes apps. The highest numbers of pharmaceutical care criteria were met by the apps Diabetes:M and mySugr (11 criteria); Contour™Diabetes, Dario Health, and OneTouch Reveal^® (ten); and DiabetesConnect and ESYSTA (nine); followed by Glucose Buddy (eight), meala (seven), and lumind (three). The most prevalent functions were related to promoting adherence and non-pharmacological management, but most criteria relevant to medication management were lacking. Five apps allowed within-app communication between patients and healthcare professionals (HCPs); however, no app included communication with pharmacists. High-quality diabetes apps are powerful tools to support pharmaceutical care and remotely monitor diabetes patients. Improvements are needed as they often lack many medication management functions, including within-app communication with HCPs (especially pharmacists). To maximize diabetes app use and improve outcomes, app developers should consider including pharmacists alongside other healthcare providers when customizing app designs.

The Association Between Temperament and Characteristics, Smartphone App Use Patterns and Academic Performance of University Students

BACKGROUND

Smartphone use patterns may predict daily life efficacy and performance improvements in sports. Additionally, personal characteristics may be associated with smartphone overuse.

METHODS

We investigated the correlation between the temperament and character inventory (TCI) and academic performance using smartphone log data. We hypothesized that the elite and general groups, divided based on academic performance, differed according to the TCI and downloadable smartphone apps (applications). Additionally, we hypothesized a correlation between smartphone app usage patterns and TCI. A total of 151 students provided smartphone log data of the previous four weeks. They also completed the TCI and provided academic records of the previous year.

RESULTS

The first and second most frequently used apps by both groups of students were social networking and entertainment, respectively. Elite students scored higher on novelty seeking, reward dependence, persistence, self-directedness, and self-transcendence than general students. In all participants, the usage time of serious apps was correlated with the scores for novelty seeking (r = 0.32, P < 0.007), reward dependence (r = 0.32, P < 0.007), and self-transcendence (r = 0.35, P < 0.006). In the elite group, the usage time of serious apps was correlated with the scores for novelty seeking (r = 0.45, P < 0.001), reward dependence (r = 0.39, P = 0.022), and self-transcendence (r = 0.35, P = 0.031). In the general group, the usage time of serious apps was correlated only with self-transcendence (r = 0.32, P < 0.007).

CONCLUSION

High usage time of serious apps can help sports majors to excel academically. Particularly among sports majors, serious apps are related to activity, the desire for rewards and recognition, and the tendency to transcend themselves.

The Promise of Digital Self-Management: A Reflection about the Effects of Patient-Targeted e-Health Tools on Self-Management and Wellbeing

Increasingly, people have direct access to e-Health resources such as health information on the Internet, personal health portals, and wearable self-management applications, which have the potential to reinforce the simultaneously growing focus on self-management and wellbeing. To examine these relationships, we searched using keywords self-management, patient-targeting e-Health tools, and health as wellbeing. Direct access to the health information on the Internet or diagnostic apps on a smartphone can help people to self-manage health issues, but also leads to uncertainty, stress, and avoidance. Uncertainties relate to the quality of information and to use and misuse of information. Most self-management support programs focus on medical management. The relationship between self-management and wellbeing is not straightforward. While the influence of stress and negative social emotions on self-management is recognized as an important cause of the negative spiral, empirical research on this topic is limited to health literacy studies. Evidence on health apps showed positive effects on specific actions and symptoms and potential for increasing awareness and ownership by people. Effects on more complex behaviors such as participation cannot be established. This review discovers relatively unknown and understudied angles and perspectives about the relationship between e-Health, self-management, and wellbeing.

Integrated Diabetes Self-Management Program Using Smartphone Application: A Randomized Controlled Trial

This study identified the effects of an integrated diabetes self-management program using smartphone application (app), based on the Information-Motivation-Behavioral skills (IMB) model. A randomized comparison, using a pre-and post-test design, was conducted with 32 participants in the experimental group and 36 in the control group. The integrated diabetes self-management program consisted of face-to-face educational sessions, a diabetes self-management smartphone app, and phone counseling. In the experimental group, diabetes self-management knowledge (Z=-2.70, p=.007), social motivation (Z=-1.97, p=.048), and behavior (t=3.22, p=.002) improved, with their hemoglobin A1c (Z=-4.83, p<.001) decreasing compared to the control group. At the post-test, the experimental group's fasting blood sugar level (t=2.79, p=.009), total calorie intake (t=3.94, p=.001), carbohydrate intake (t=5.69, p<.001), and fat intake (t=2.54, p=.021) decreased compared to the pre-test. An integrated diabetes self-management program using smartphone app, based on the IMB model, should be utilized as a nursing intervention.

Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose

BACKGROUND

Along with stand-alone glucose monitors, smartphone-dependent glucose meters (SDGM) are available for self-monitoring of blood glucose (SMBG). These display-less devices, connected to a smartphone, measure glucose and display report on a smartphone screen, which can be easily shared with doctors.

AIM

The aim of this study was to check the accuracy of the available SDGMs in relation to the laboratory reference method.

MATERIALS AND METHODS

Two available SDGMs: BeatO™ and GlucoMe™ were tested. A total of 104 venous blood samples were tested for glucose in SDGMs and by the reference method. The accuracy of the report was checked by the International Standards Organization (ISO), American Diabetes Association (ADA), and Clinical Laboratory Improvement Amendments (CLIA) criteria. Clarke error grid analysis (CEGA) was carried out to find the suitability of SDGM in clinical usage.

RESULTS

Mean plasma glucose (n = 104) level from laboratory report was 106.48 ± 44.58 mg/dL, that from BeatO™ was 105.78 ± 52.6, and GlucoMe™ was 99.72 ± 51.22. The accuracy was lower than that recommended by ISO 2013 (29.8% and 30.77% error in BeatO™ and GlucoMe™, respectively), ADA (63.46% and 74% error in BeatO™ and GlucoMe™, respectively), and CLIA (42.31% and 46.15% error in BeatO™ and GlucoMe™, respectively) criteria. According to CEGA, BeatO™ and GlucoMe™ can guide correct treatment in diabetes mellitus patients for 74% and 71% of measurement, respectively.

CONCLUSION

The accuracy of both the SDGMs was lower than that suggested by ISO, ADA, and CLIA criteria. The result of this study would help patients and doctors in informed choice for the procurement of glucose monitors.

Medication Management Apps for Diabetes: Systematic Assessment of the Transparency and Reliability of Health Information Dissemination

BACKGROUND

Smartphone apps are increasingly used for diabetes self-management because of their ubiquity and ability to help users to personalize health care management. The number of diabetes apps has proliferated in recent years, but only a small subset of apps that pose a higher risk are regulated by governmental agencies. The transparency and reliability of information sources are unclear for apps that provide health care advice and are not regulated by governmental agencies.

OBJECTIVE

This study aimed to assess the transparency and reliability of information disseminated via diabetes apps against 8 criteria adapted from the Health On the Net code of conduct (HONcode) principles.

METHODS

English-language diabetes-related terms were searched on a market explorer (42matters) on June 12, 2018. Apps with medication and blood glucose management features were downloaded and evaluated against the App-HONcode criteria adapted from the 8 HONcode principles: authoritative, complementarity, privacy, attribution, justifiability, transparency, financial disclosure, and advertising policy. Apps were profiled by operating platforms (ie, Android and iOS) and the number of downloads (ie, Android only: ≥100,000 downloads and <100,000 downloads).

RESULTS

A total of 143 apps (81 Android and 62 iOS) were downloaded and assessed against the adapted App-HONcode criteria. Most of the apps on the Android and iOS platforms fulfilled between 2 and 6 criteria, but few (20/143, 14.0%) apps mentioned the qualifications of individuals who contributed to app development. Less than half (59/143, 39.2%) of the apps disclaimed that the information provided or app functions do not replace the advice of the health care provider. A higher proportion of iOS apps fulfilled 5 or more App-HONcode criteria compared with Android apps. However, Android apps were more likely to have the developer's email listed on the app store (Android: 75/81, 98%; and iOS: 52/62, 84%; P=.005) compared with iOS apps. Of the Android apps assessed, a significantly higher proportion of highly downloaded apps had a privacy and confidentiality clause (high downloads: 15/17, 88%; and low downloads: 33/64, 52%; P=.006) and were more likely to discuss their financial sources (high downloads: 14/17, 82%; and low downloads: 32/64, 50%; P=.03) compared with apps with a low number of downloads.

CONCLUSIONS

Gaps in the disclosure of the developer's qualification, funding source, and the complementary role of the app in disease management were identified. App stores, developers, and medical providers should collaborate to close these gaps and provide more transparency and reliability to app users. Future work can further examine the consent-seeking process for data collection, data management policies, the appropriateness of advertising content, and clarity of privacy clause of these apps.

Measuring the Psychobiological Correlates of Daily Experience in Adolescents

Mapping the psychobiological correlates of social contexts, experiences, and emotional responses of adolescents in their daily lives provides insight into how adolescent well-being shapes, and is shaped by, experience. Measures of these psychobiological correlates are enabled by devices and technologies that must be precise and suitable for adolescent participants. The present report reviews the most often used research measures, and suggests strategies for best practice, drawn from practical experience. The rapid advances in technological methods to collect attuned measures of psychological processes, social context, and biological function indicate the promise for multimodal measures in ecological settings. Attaining these methodological goals will support research to secure comprehensive, quality data, and advance the understanding of psychobiological function in ambulatory settings.

Adolescent Perspectives on the Use of Social Media to Support Type 1 Diabetes Management: Focus Group Study

Background

A majority of adolescents report the use of some form of social media, and many prefer to communicate via social networking sites. Social media may offer new opportunities in diabetes management, particularly in terms of how health care teams provide tailored support and treatment to adolescents with diabetes.

Objective

The aim of this study was to explore the experiences and perspectives of adolescents with type 1 diabetes on the feasibility of social media use as a tool to collaboratively manage their diabetes with their diabetes care team.

Methods

Focus groups of adolescents with type 1 diabetes were conducted in the Seattle metropolitan area in Washington State. Semistructured questions were used to elicit views around the preferred means of communication with the adolescents’ diabetes care team, how to best support diabetes self-management, and how social media could be used outside of the clinic setting by the diabetes care team to engage with adolescents with type 1 diabetes. Focus groups were audio recorded and transcribed verbatim. Qualitative content analysis was carried out, and emergent themes were subsequently mapped onto 4 domains of feasibility, which included acceptability, demand, implementation, and practicality.

Results

Participants included 45 adolescents with type 1 diabetes (mean age 15.9, SD 1.7 years; 58% male; diabetes duration mean 6.2, SD 3.6 years; 76% on insulin pumps; 49% wore continuous glucose monitors; 93% reported use of social media; 84% used smartphones as the primary means for social media access). A total of 7 major topics were identified and mapped onto areas consistent with our focus on feasibility. For acceptability and demand, participants expressed how communication over social media could help facilitate (1) improved communication outside of clinic visits to optimize diabetes management, (2) independence in diabetes self-management, (3) connection to other youth with diabetes for additional diabetes support, and (4) delivery of more timely and personalized care. Addressing implementation and practicality, participants shared the need to (1) ensure patient privacy, (2) maintain professional nature of provider-patient relationship, and (3) recognize that social media is not currently used for medical care by youth with diabetes.

Conclusions

Adolescents with type 1 diabetes expressed interest in the use of social media as a tool to support diabetes management and increase engagement with their diabetes care team. Specific implementation measures around privacy and professionalism should be considered when developing a social media intervention to facilitate communication between adolescents and care teams.

Using Commercial Physical Activity Trackers for Health Promotion Research: Four Case Studies

BACKGROUND

Wearable physical activity (PA) trackers are becoming increasingly popular for intervention and assessment in health promotion research and practice. The purpose of this article is to present lessons learned from four studies that used commercial PA tracking devices for PA intervention or assessment, present issues encountered with their use, and provide guidelines for determining which tools to use.

METHOD

Four case studies are presented that used PA tracking devices (iBitz, Zamzee, FitBit Flex and Zip, Omron Digital Pedometer, Sensewear Armband, and MisFit Flash) in the field-two used the tools for intervention and two used the tools as assessment methods.

RESULTS

The four studies presented had varying levels of success with using PA devices and experienced several issues that impacted their studies, such as companies that went out of business, missing data, and lost devices. Percentage ranges for devices that were lost were 0% to 29% and was 0% to 87% for those devices that malfunctioned or lost data.

CONCLUSIONS

There is a need for low-cost, easy-to-use, accurate PA tracking devices to use as both intervention and assessment tools in health promotion research related to PA.

Client-Centered Mobile Health Care Applications: Using the Mobile Application Rating Scale Instrument for Evidence-Based Evaluation

The use of mobile devices and applications (apps) to monitor or assist in health behaviors is rapidly expanding in many areas of society. Clinicians desire evidence-based app recommendations for their clients to increase self-care and wellness management in such areas as mindfulness, weight loss and activity tracking, glycemic control, and consumer medication information. Given the constant influx of new apps into the major app repositories, clinicians need to be able to ensure the quality of information and interaction that occurs within the mobile health (mHealth) marketplace. The Mobile Application Rating Scale (MARS) and the user version of the scale are valid and reliable instruments used to examine the engagement, functionality, aesthetics, and quality of information in mHealth apps. MARS-rated apps can be readily available resources for busy clinicians to make app suggestions to assist clients on a variety of topics that promote improved outcomes. This article reviews the MARS instrument and utilization of the instrument by clinicians and summarizes several primary care and wellness apps that have been evaluated using this tool.

IDF Europe's position on mobile applications in diabetes

Over the last decade, advances in technology and connectivity have led to the boom of Internet-based and mobile applications (Apps) which have rendered access to information easier and faster and have changed our daily lives. With 60 million people living with diabetes (PWD) in Europe and 32 million more at risk, diabetes has been a major target for software companies, with the aim to help people manage their chronic condition, and to prevent diabetes in people at risk. IDF Europe is the voice of 70 national associations, representing PWD and health professionals in 47 European countries, and a strong supporter of innovation in healthcare. Witnessing the emergence of Apps in the field of diabetes, given the general uptake of a connected lifestyle, and recognising the potential in the ability of these Apps to make an impact on the lives of PWD, IDF Europe reflected on Mobile Applications in Diabetes, examining Diabetes and new technology through psychology, motivation and behavioral change in diabetes management; the healthcare professional perspective; potential roles of diabetes-related Apps, pointing to existing evidence and important ethical issues; and finally offering recommendations on four levels: individual, healthcare professional, political and App developers.

Recent advances in computational tools and resources for the self-management of type 2 diabetes

Background: While healthcare systems are investing resources on type 2 diabetes patients, self-management is becoming the new trend for these patients. Due to the pervasiveness of computing devices, a number of computerized systems are emerging to support the self-management of patients.Objective: The primary objective of this review is to identify and categorize the computational tools that exist for the self-management of type 2 diabetes, and to identify challenges that need to be addressed.Results: The tools have been categorized into web applications, mobile applications, games and ubiquitous diabetes management systems. We provide a detailed description of the salient features of each category along with a comparison of the various tools, listing their challenges and practical implications. A list of platforms that can be used to develop new tools for the self-management of type 2 diabetes, namely mobile applications development, sensor development, cloud computing, social media, and machine learning and predictive analysis platforms, are also provided.Discussions: This paper identifies a number of challenges in the existing categories of computational tools and consequently presents possible avenues for future research. Failure to address these issues will negatively impact on the adoption rate of the self-management tools and applications.

Impact of big data on oral health outcomes

Biomedical big data amasses from different sources such as electronic health records, health research, wearable devices and social media. Recent advances in data capturing, storage and analysis techniques have facilitated conversion of a wealth of knowledge in biomedical big data into evidence-based actionable plans to enhance population health and well-being. The delay in reaping the benefits of biomedical big data in dentistry is mainly due to the slow adoption of electronic health record systems, unstructured clinical records, tattered communication between data silos and perceiving oral health as a separate entity from general health. Recent recognition of the complex interplay between oral and general health has acknowledged the power of oral health big data to glean new insights on disease prevention and management. This review paper summarizes recent advances, limitations and challenges in biomedical big data in health care with emphasis on oral health and discusses the potential future applications of oral health big data to improve the quality and efficiency of personalized health care.

Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature

This study investigated the features and usefulness of mobile app-based health promotion programs for the general population. A comprehensive bibliographic search of studies on health promotion programs using mobile apps in peer-reviewed journals published in English up to November 2017 was performed using the PubMed, Embase, and CINAHL databases. The inclusion criteria were (1) randomized control trial designs; (2) assessed mobile app-based interventions to promote adult health conditions; 12 studies were ultimately included. The most common topics were diet and physical activity (n = 8) and overall healthy lifestyle improvement (n = 4). The purpose of the apps included providing feedback on one’s health status (n = 9) and monitoring individual health status or behavior change (n = 9). Across all studies, health outcomes were shown to be better for mobile app users compared to non-users. Mobile app-based health interventions may be an effective strategy for improving health promotion behaviors in the general population without diseases. This study suggests that mobile app use is becoming commonplace for a variety of health-promoting behaviors in addition to physical activity and weight control. Future research should address the feasibility and effectiveness of using mobile apps for health promotion in developing countries.

Users' preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives

Background

Mobile phone applications (apps) offer motivation and support for self-management of diabetes mellitus (DM), but their use is limited by high attrition due to insufficient consideration of end-users perspectives and usability requirements. This study aimed to examine app usage and feature preferences among people with DM, and explore their recommendations for future inclusions to foster engagement with diabetes apps.

Methods

The study was conducted internationally on adults with type 1 or type 2 DM using online questionnaire (quantitative) to investigate usage and preferences for app features that support diabetes self-management and semi structured telephone interview (qualitative) to explore suggestions on fostering engagement and specific educational information for inclusion into diabetes apps. Survey and interview data were analysed using descriptive/ inferential statistics and inductive thematic analysis respectively.

Results

A total of 217 respondents with type 1 DM (38.25%) or type 2 DM (61.8%), from 4 continents (Australia, Europe, Asia and America) participated in the survey. About half of the respondents (48%) use apps, mainly with features for tracking blood glucose (56.6%), blood pressure (51.9%) and food calories (48.1%). Preferred features in future apps include nutrient values of foods (56.7%), blood glucose (54.8%), physical exercise tracker (47%), health data analytics (42.9%) and education on diabetes self-management (40.6%). Irrespective of the type of DM, participants proposed future apps that are user friendly, support healthy eating, provide actionable reminders and consolidate data across peripheral health devices. Participants with type 1 DM recommended customised features with news update on developments in the field of diabetes. Nominated specific educational topics included tips on problem solving, use of insulin pump therapy, signs of diabetes complication and transitioning from paediatric into adult care.

Conclusions

The study has highlighted patients’ perspectives on essential components for inclusion in diabetes apps to promote engagement and foster better health outcomes.

Multiple Sclerosis in the Contemporary Age: Understanding the Millennial Patient with Multiple Sclerosis to Create Next-Generation Care

The average age of onset of multiple sclerosis (MS) is between 20 and 40 years of age. Therefore, most new patients diagnosed with MS within the next 10 to 15 years will be from the millennial generation, representing those born between 1982 and 2000. Certain preferences and trends of this contemporary generation will present new challenges to the MS physician and effective MS care. By first understanding these challenges, relevant and successful solutions can be created to craft a system of care that best benefits the millennial patient with MS.

Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study

Background

Mobile apps are becoming an increasingly ubiquitous platform for delivery of health behavior interventions among overweight and obese perinatal women. However, only a few methodological guidelines on integrating theory, evidence, and qualitative research for their designs are available.

Objective

The aim of this study was to develop a theory-based, evidence-driven, and user-centered healthy lifestyle app targeting overweight and obese multiethnic pregnant women.

Methods

This paper illustrates how intervention development may be enriched with theoretical basis, systematic review, and qualitative study. An individual face-to-face interview was performed to incorporate the user’s involvement in the design. These interviews were audiotaped and transcribed. Thematic analysis technique was used for emerging themes.

Results

Integrated concepts of social cognitive theory of self-regulation, self-regulation model, and strength model of self-control were selected as bases of the intervention. Evidence from our systematic review and meta-analysis provided the strongest evidence for the development of intervention. We invited 16 obese or overweight pregnant women to participate in a semistructured interview . The following key themes emerged: content, platform, interactivity, format, and functionality. Apps are a favorable technology platform for healthy diet advice, appropriate physical exercise, and weight management because they are user-friendly and convenient. The app used in this study contains culture-specific, pregnancy-related, and credible contents, including educational, professional and peer support, and self-monitoring domains. The design should include aesthetic appeal, visualized features, and interactive multimedia.

Conclusions

A 3-step process integrating theoretical basis, evidence from systematic review, and research findings from target users can be considered a guide for future app development.

Algorithms for Monitoring Heart Rate and Respiratory Rate From the Video of a User's Face

Smartphone cameras can measure heart rate (HR) by detecting pulsatile photoplethysmographic (iPPG) signals from post-processing the video of a subject’s face. The iPPG signal is often derived from variations in the intensity of the green channel as shown by Poh et. al. and Verkruysse et. al.. In this pilot study, we have introduced a novel iPPG method where by measuring variations in color of reflected light, i.e., Hue, and can therefore measure both HR and respiratory rate (RR) from the video of a subject’s face. This paper was performed on 25 healthy individuals (Ages 20–30, 15 males and 10 females, and skin color was Fitzpatrick scale 1–6). For each subject we took two 20 second video of the subject’s face with minimal movement, one with flash ON and one with flash OFF. While recording the videos we simultaneously measuring HR using a Biosync B-50DL Finger Heart Rate Monitor, and RR using self-reporting. This paper shows that our proposed approach of measuring iPPG using Hue (range 0–0.1) gives more accurate readings than the Green channel. HR/Hue (range 0–0.1) (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$r=0.9201$ \end{document}, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p$ \end{document}-value = 4.1617, and RMSE = 0.8887) is more accurate compared with HR/Green (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$r=0.4916$ \end{document}, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p$ \end{document}-value = 11.60172, and RMSE = 0.9068). RR/Hue (range 0–0.1) (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$r=0.6575$ \end{document}, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p$ \end{document}-value = 0.2885, and RMSE = 3.8884) is more accurate compared with RR/Green (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$r=0.3352$ \end{document}, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p$ \end{document}-value = 0.5608, and RMSE = 5.6885). We hope that this hardware agnostic approach for detection of vital signals will have a huge potential impact in telemedicine, and can be used to tackle challenges, such as continuous non-contact monitoring of neo-natal and elderly patients. An implementation of the algorithm can be found at https://pulser.thinkbiosolution.com

Smartphone based non-invasive salivary glucose biosensor

The present work deals with the development of a non-invasive optical glucose biosensor using saliva samples and a smartphone. The sensor was fabricated with a simple methodology by immobilization of Glucose oxidase enzyme along with a pH responsive dye on a filter paper based strip. The strip changes color upon reaction with glucose present in saliva and the color changes were detected using a smartphone camera through RGB profiling. This standalone biosensor showed good sensitivity and low interference while operating within 20 s response time. We used various means for improvements such as the use of slope method instead of differential response; use of a responsive pH indicator and made numerous tweaks in the smartphone app. Calibration with spiked saliva samples with slopes for (R + G + B) pixels revealed an exponentially increasing calibration curve with a linear detection range of 50-540 mg/dL, sensitivity of 0.0012 pixels sec^-1/mg dL^-1 and LOD of 24.6 mg/dL. The biosensor was clinically validated on both healthy and diabetic subjects divided into several categories based on sex, age, diabetic status etc. and correlation between blood and salivary glucose has been established for better standardization of the sensor. Correlation of 0.44 was obtained between blood and salivary glucose in healthy individuals whereas it was 0.64 and 0.94 in case of prediabetic and diabetic patients respectively. The developed biosensor has the potential to be used for mass diagnosis of diabetes especially in such areas where people remain prohibited from routine analysis due to high healthcare cost. Apart from that, a smartphone would be the only device the user needs for this measurement, along with a disposable low cost test strip.

Chronic Disease and Mobile Technology: An Innovative Tool for Clinicians

Chronic disease is common, costly and the epidemic of the 21st century. Primary care providers seek new and innovative approaches to prevent chronic illness. Since the majority of chronic illness management occurs outside a physician's office, providers must use different techniques to support daily self-management of any chronic illness. Assisting the individual to develop life skills to support self-management is one way to improve patient outcomes. Technology, that is easily accessed, may provide an additional method to develop and individual's self-management skills to prevent diabetes.

iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence

Background

Currently, various phone apps have been developed to assist patients. Many of these apps are developed to assist patients in the self-management of chronic diseases such as diabetes. It is essential to analyze these various apps to understand the key features that would potentially be instrumental in helping patients successfully achieve goals in disease self-management.

Objective

The objective of this study was to conduct a review of all the available diabetes-related apps in the iOS App Store to evaluate which diabetic app is more interactive and offers a wide variety of operations such as monitoring glucose, water, carbohydrate intake, weight, body mass index (BMI), medication, blood pressure (BP) levels, reminders or push notifications, food database, charts, exercise management, email, sync between devices, syncing data directly to the prescribers, and other miscellaneous functions such as (Twitter integration, password protection, retina display, barcode scanner, apple watch functionality, and cloud syncing).

Methods

Data was gathered using the iOS App Store on an iPad. The search term “diabetes” resulted in 1209 results. Many of the results obtained were remotely related to diabetes and focused mainly on diet, exercise, emergency services, refill reminders, providing general diabetes information, and other nontherapeutic options. We reviewed each app description and only included apps that were meant for tracking blood glucose levels. All data were obtained in one sitting by one person on the same device, as we found that carrying out the search at different times or on different devices (iPhones) resulted in varying results. Apps that did not have a feature for tracking glucose levels were excluded from the study.

Results

The search resulted in 1209 results; 85 apps were retained based on the inclusion criteria mentioned above. All the apps were reviewed for average customer ratings, number of reviews, price, and functions. Of all the apps surveyed, 18 apps with the highest number of user ratings were used for in-depth analysis. Of these 18 apps, 50% (9/18) also had a medication adherence function. Our analysis revealed that the Diabetes logbook used by the mySugr app was one of the best; it differentiated itself by introducing fun as a method of increasing adherence.

Conclusions

A large variation was seen in patient ratings of app features. Many patient reviewers desired simplicity of app functions. Glucose level tracking and email features potentially helped patients and health care providers manage the disease more efficiently. However, none of the apps could sync data directly to the prescribers. Additional features such as graph customization, availability of data backup, and recording previous entries were also requested by many users. Thus, the use of apps in disease management and patient and health-care provider involvement in future app refinement and development should be encouraged.

Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives

Background

Finding novel ways to engage patients in chronic disease management has led to increased interest in the potential of mobile health technologies for the management of diabetes. There is currently a wealth of smartphone apps for diabetes management that are available for free download or purchase. However, the usability and desirability of these apps has not been extensively studied. These are important considerations, as these apps must be accepted by the patient population at a practical level if they are to be utilized.

Objective

The purpose of this study was to gain insight into patient experiences related to the use of smartphone apps for the management of type 1 diabetes.

Methods

Adults with type 1 diabetes who had previously (or currently) used apps to manage their diabetes were eligible to participate. Participants (n=12) completed a questionnaire in which they were required to list the names of preferred apps and indicate which app functions they had used. Participants were given the opportunity to comment on app functions that they perceived to be missing from the current technology. Participants were also asked whether they had previously paid for an app and whether they would be willing to do so.

Results

MyFitnessPal and iBGStar were the apps most commonly listed as the best available on the market. Blood glucose tracking, carbohydrate counting, and activity tracking were the most commonly used features. Ten participants fulfilled all eligibility criteria, and indicated that they had not encountered any one app that included all of the functions that they had used. The ability to synchronize an app with a glucometer or insulin pump was the most common function that participants stated was missing from current app technology. One participant had previously paid for a diabetes-related app and the other 9 participants indicated that they would be willing to pay.

Conclusions

Despite dissatisfaction with the currently available apps, there is interest in using these tools for diabetes management. Adapting existing technology to better meet the needs of this patient population may allow these apps to become more widely utilized.

Content Analysis of Mobile Health Applications on Diabetes Mellitus

Diabetes self-management offers an opportunity to patients to be actively involved in managing their conditions and modifying lifestyle behaviors to attain positive health outcomes. With the unprecedented growth of mobile technology, smartphone plays a role in supporting diabetes self-management. Nonetheless, selecting appropriate mobile applications (apps) is challenging for patients. Thus, this study aimed to evaluate and compare the contents and features of mobile medical apps for diabetes self-management. Of 346 commercial apps, 16 (16%) and 19 (7.72%) of the diabetes apps found in Apple and Google Play stores, respectively, were included based on the selection criteria and individually scored for the availability of 8 main features of diabetes self-management. The apps supported self-management by offering features such as free installation, less than 50 MB space used, offline use, automated data entry, data export and sharing, educational tool, and advice. Of the 8 evaluated features, only 11 (31.4%) apps had a score of 5 whereas 7 (20%) apps scored the lowest, with a score of 3. The majority of apps were free, required no Internet connectivity to use and were less than 50 MB in size. Our findings showed that the design of diabetes mobile apps focused on reporting and setting reminders, rather than providing personalized education or therapeutic support. In the future, the design of apps could be improved to integrate patients' needs, usability for disease management, and lifestyle modifications.

Diabetes care related process modelling using Process Mining techniques. Lessons learned in the application of Interactive Pattern Recognition: coping with the Spaghetti Effect

Diabetes is one of the metabolic disorders with more growth expectations in next decades. The literature points to a correct self-management, to an appropriate treatment and to an adequate healthy lifestyle as a way to dramatically improve the quality of life of patients with diabetes. The implementation of a holistic diabetes care system, using rising information technologies for deploying cares based on the thesis of the Evidence-Based Medicine can be a effective solution to provide an adequate and continuous care to patients. However, the design and deployment of computer readable careflows is not a easy task. In this paper, we propose the use of Interactive Pattern Recognition techniques for the iterative design of those protocols and we analyze the problems of using Process Mining to infer careflows and how to how to cope with the resulting Spaghetti Effect.

MyDiabetesMyWay: An Evolving National Data Driven Diabetes Self-Management Platform

MyDiabetesMyWay (MDMW) is an award-wining national electronic personal health record and self-management platform for diabetes patients in Scotland. This platform links multiple national institutional and patient-recorded data sources to provide a unique resource for patient care and self-management. This review considers the current evidence for online interventions in diabetes and discusses these in the context of current and ongoing developments for MDMW. Evaluation of MDMW through patient reported outcomes demonstrates a positive impact on self-management. User feedback has highlighted barriers to uptake and has guided platform evolution from an education resource website to an electronic personal health record now encompassing remote monitoring, communication tools and personalized education links. Challenges in delivering digital interventions for long-term conditions include integration of data between institutional and personal recorded sources to perform big data analytics and facilitating technology use in those with disabilities, low digital literacy, low socioeconomic status and in minority groups. The potential for technology supported health improvement is great, but awareness and adoption by health workers and patients remains a significant barrier.

Turning to Peers: Integrating Understanding of the Self, the Condition, and Others' Experiences in Making Sense of Complex Chronic Conditions

People are increasingly involved in the self-management of their own health, including chronic conditions. With technology advances, the choice of self-management practices, tools, and technologies has never been greater. The studies reported here investigated the information seeking practices of two different chronic health populations in their quest to manage their health conditions. Migraine and diabetes patients and clinicians in the UK and the US were interviewed about their information needs and practices, and representative online communities were explored to inform a qualitative study. We found that people with either chronic condition require personally relevant information and use a broad and varied set of practices and tools to make sense of their specific symptoms, triggers, and treatments. Participants sought out different types of information from varied sources about themselves, their medical condition, and their peers’ experiences of the same chronic condition. People with diabetes and migraine expended great effort to validate their personal experiences of their condition and determine whether these experiences were ‘normal’. Based on these findings, we discuss the need for future personal health technologies that support people in engaging in meaningful and personalised data collection, information seeking, and information sharing with peers in flexible ways that enable them to better understand their own condition.

Using applied behavior analysis and smart technology for meeting the health needs of individuals with intellectual disabilities

OBJECTIVE

Individuals with intellectual disabilities often have special healthcare concerns such as diabetes, kidney disease, severe allergies, progressive illnesses, respiratory weaknesses, and obesity. Smart technology can be an asset for individuals with intellectual disabilities for better managing their healthcare needs.

METHODS

A critical review of the literature related to applied behavior analysis, smart technology, and health needs of individuals with intellectual disabilities was conducted.

RESULTS

This discussion paper describes factors that contribute to the successful use of smart technology for the health issues of individuals with intellectual disabilities.

CONCLUSIONS

We see key components in developing appropriate access and use of smart technology for the health of people with intellectual disabilities being: (a) systematic instructional methods for consistent and accurate use of the technology, (b) modifying the current technology for people with intellectual disabilities,

A realisation of ethical concerns with smartphone personal health monitoring apps

The pervasiveness of smartphones has facilitated a new way in which owners of devices can monitor their health using applications (apps) that are installed on their smartphones. Smartphone personal health monitoring (SPHM) collects and stores health related data of the user either locally or in a third party storing mechanism. They are also capable of giving feedback to the user of the app in response to conditions that are provided to the app therefore empowering the user to actively make decisions to adjust their lifestyle.

Regardless of the benefits that this new innovative technology offers to its users, there are some ethical concerns to the user of SPHM apps. These ethical concerns are in some way connected to the features of SPHM apps. From a literature survey, this paper attempts to recognize ethical issues with personal health monitoring apps on smartphones, viewed in light of general ethics of ubiquitous computing. The paper argues that there are ethical concerns with the use of SPHM apps regardless of the benefits that the technology offers to users due to SPHM apps' ubiquity leaving them open to known and emerging ethical concerns. The paper then propose a need for further empirical research to validate the claim.

The Use of Videogames, Gamification, and Virtual Environments in the Self-Management of Diabetes: A Systematic Review of Evidence

The use of videogames in healthcare interventions is gaining popularity, but there is still a gap in the understanding on how these types of interventions are used for the management of diabetes. The purpose of this review is to examine published research on the use of videogames for diabetes management. With the increased use of mobile technology, the review was expanded to understand whether games, gamification, and virtual environments can be used for diabetes self-management. Out of the 307 articles identified, only 10 articles met the inclusion criteria of the study. The duration of most studies was short, with small sample sizes. All interventions targeted behavioral changes examining risk reduction of diabetes-related risk and promotion of healthy behavior among study participants. Videogames appeared to be helpful tools for education in some interventions, whereas gamification and virtual environments increased extrinsic motivation and provided positive reinforcement. This review concludes by discussing the potential of using videogames and gamification for the self-management of diabetes.

Toward point-of-care diagnostics with consumer electronic devices: the expanding role of nanoparticles

A review of the role that nanoparticles can play in point-of-care diagnostics that utilize consumer electronic devices such as cell phones and smartphones for readout, including an overview of important concepts and examples from the literature.

New technology and illness self-management: Potential relevance for resource-poor populations in Asia

Advances in technology have made it possible for many standard diagnostic and health monitoring procedures, traditionally carried out by qualified personnel within medical facilities, to be reliably undertaken by patients or carers in their own homes with a minimum of basic training. There has also been a dramatic increase in the number and diversity of both sources of information on health issues and the possibilities for sharing information and experiences over ICT-based social networks. It has been suggested that these developments have the potential to 'empower' patients, reducing their dependence on providers and possibly improving their quality of care by increasing the volume and timeliness of diagnostic data and encouraging active self-management of their condition, for example through lifestyle changes. Perhaps more significantly, it is also seen by many economies with ageing populations as a way to contain high and ever rising healthcare costs. It has also been suggested that a move to greater self-management supported by expert networks and smart phone technology could improve the treatment of many millions of patients with chronic diseases in low and middle income economies that are also confronting the potential cost implications of epidemiological and demographic transitions, combined with the higher expectations of a more educated and knowledgeable population. There is now limited evidence that some fairly basic e- and mHealth interventions, for example in the areas of MNCH, malaria and HIV/AIDS can have a positive impact, even in resource-poor contexts. The aim here is to explore the extent to which further investment in technology could play a role in the development of an effective and affordable health sector strategy for at least some developing economies. It is suggested that the effectiveness of the approach may be highly dependent on the specific health conditions addressed, the nature of existing health systems and the overall socio-economic and cultural context.

Personal Health Record Design Preferences for Minority Diabetic Patients

Facilitating treatment adherence (diet, exercise, medication, self-management technology use) among patients with a chronic disease poses a significant challenge to health care providers, particularly among minority populations. Racial and ethnic minorities experience higher rates of chronic disease prevalence and mortality and lower rates of health literacy, which has been widely linked to inferior health care quality. Health Information Technology (HIT) is a critical component of chronic disease treatment and has the ability to support patient self-management through the use of a Personal Health Record (PHR). However, current PHR systems are not designed for the largest and highest-risk segment of the chronic disease population, which are minorities. In an effort to address racial and ethnic disparities in PHRs, this research aims to evaluate minority design preferences in the patient population, develop a design database, and develop several design alternatives for use in future PHR testing and implementation. In this pilot, we focused on one of the highest risk chronic disease populations, African American diabetics. Data was collected from the Howard University Hospital Diabetes Treatment Center, using a previously launched patient portal as a baseline for all research activities. This research has the potential to inform PHR vendor design decision-making and future regulatory guidelines for HIT.

Advances in management of type 1 diabetes mellitus

Treatment of type 1 diabetes mellitus has always posed a challenge to balance hyperglycemia control with hypoglycemia episodes. The quest for newer therapies is continuing and this review attempts to outline the recent developments. The insulin molecule itself has got moulded into different analogues by minor changes in its structure to ensure well controlled delivery, stable half-lives and lesser side effects. Insulin delivery systems have also consistently undergone advances from subcutaneous injections to continuous infusion to trials of inhalational delivery. Continuous glucose monitoring systems are also becoming more accurate and user friendly. Smartphones have also made their entry into therapy of diabetes by integrating blood glucose levels and food intake with calculated adequate insulin required. Artificial pancreas has enabled to a certain extent to close the loop between blood glucose level and insulin delivery with devices armed with meal and exercise announcements, dual hormone delivery and pramlintide infusion. Islet, pancreas-kidney and stem cells transplants are also being attempted though complete success is still a far way off. Incorporating insulin gene and secretary apparatus is another ambitious leap to achieve insulin independence though the search for the ideal vector and target cell is still continuing. Finally to stand up to the statement, prevention is better than cure, immunological methods are being investigated to be used as vaccine to prevent the onset of diabetes mellitus.

The future of laboratory medicine - a 2014 perspective

Predicting the future is a difficult task. Not surprisingly, there are many examples and assumptions that have proved to be wrong. This review surveys the many predictions, beginning in 1887, about the future of laboratory medicine and its sub-specialties such as clinical chemistry and molecular pathology. It provides a commentary on the accuracy of the predictions and offers opinions on emerging technologies, economic factors and social developments that may play a role in shaping the future of laboratory medicine.

Comparative Study of the Routine Daily Usability of FoodLog: A Smartphone-based Food Recording Tool Assisted by Image Retrieval

The health care field is focusing considerable attention on dietary control, which requires that individuals record what they eat. We have developed a novel smartphone application called FoodLog, a multimedia food recording tool that allows users to take photos of their meals and to produce textual food records. Unlike conventional smartphone-based food recording tools, FoodLog allows users to employ meal photos to help them to input textual descriptions based on image retrieval. In this study, we conducted usability experiments to evaluate the routine daily use of FoodLog systems with and without image-based assistance. We produced 2 food recording tools: FoodLog with image-based assistance (FL-I) and FoodLog with text input only (FL-T). We recruited 18 university students (age = 18-24 years), all of whom performed food recording for the first time. The participants used FoodLog on a daily basis for 1 month. In the subjective evaluation, FL-I had higher average scores for questions related to ease of use, fun, frequency of browsing, and intention to continue. In particular, the latter 3 factors received significantly higher scores with FL-I than with FL-T. In the quantitative evaluation, the daily average number of meal events and food records did not differ significantly between FL-I and FL-T. A detailed analysis of the individual records showed that 1 participant produced 3 times as many records using FL-I compared with FL-T. The subjective assessment showed that our new tool, which fully exploits the use of images, is a promising method for food recording.

Review of innovations in digital health technology to promote weight control

Advances in technology have contributed to the obesity epidemic and worsened health by reducing opportunities for physical activity and by the proliferation of inexpensive calorie-dense foods. However, much of the same technology can be used to counter these troublesome trends by fostering the development and maintenance of healthy eating and physical activity habits. In contrast to intensive face-to-face treatments, technology-based interventions also have the potential to reach large numbers of individuals at low cost. The purpose of this review is to discuss studies in which digital technology has been used for behavioral weight control, report on advances in consumer technology that are widely adopted but insufficiently tested, and explore potential future directions for both. Web-based, mobile (eg, smartphone), virtual reality, and gaming technologies are the focus of discussion. The best evidence exists to support the use of digital technology for self-monitoring of weight-related behaviors and outcomes. However, studies are underway that will provide additional, important information regarding how best to apply digital technology for behavioral weight control.

Diabetes professionals must seize the opportunity in mobile health

The number of diabetes management mobile applications (apps) available on the market has grown exponentially since 2009; however, most patients lack the skills necessary for finding relevant health care information. Thus, clinical best practices emphasize the need for ongoing patient education. Despite the importance of education in clinical guidelines, very few of these apps include education in their top functionalities. Most diabetes management mobile apps are not medical devices by definition, according to the U.S. Food and Drug Administration, and therefore do not require clearance or approval for market, and very few have been subject to clinical evaluation. There has been little research on the use of diabetes management mobile apps, marginalizing the role of diabetes professionals and educators in a burgeoning market, hungry for information and an improved quality of life. Still, mobile technology holds great promise as a platform for self-management. Health care providers must not only educate patients about these resources, but take steps to ensure that mobile apps follow accepted best practices and guidelines.