Mobile Apps for the Management of Diabetes

Stoyanov S.R., Hides L., Kavanagh D.J., Zelenko O., Tjondronegoro D., Mani M.

Background The use of mobile apps for health and well being promotion has grown exponentially in recent years. Yet, there is currently no app-quality assessment tool beyond “star”-ratings. Objective The objective of this study was to develop a reliable, multidimensional measure for trialling, classifying, and rating the quality of mobile health apps. Methods A literature search was conducted to identify articles containing explicit Web or app quality rating criteria published between January 2000 and January 2013. Existing criteria for the assessment of app quality were categorized by an expert panel to develop the new Mobile App Rating Scale (MARS) subscales, items, descriptors, and anchors. There were sixty well being apps that were randomly selected using an iTunes search for MARS rating. There were ten that were used to pilot the rating procedure, and the remaining 50 provided data on interrater reliability. Results There were 372 explicit criteria for assessing Web or app quality that were extracted from 25 published papers, conference proceedings, and Internet resources. There were five broad categories of criteria that were identified including four objective quality scales: engagement, functionality, aesthetics, and information quality; and one subjective quality scale; which were refined into the 23-item MARS. The MARS demonstrated excellent internal consistency (alpha = .90) and interrater reliability intraclass correlation coefficient (ICC = .79). Conclusions The MARS is a simple, objective, and reliable tool for classifying and assessing the quality of mobile health apps. It can also be used to provide a checklist for the design and development of new high quality health apps.

Hogan N.M., Kerin M.J.

Smart phones are having an impact on how we conduct many aspects of modern clinical practice. For the practicing clinician, smart phones applications, or apps, may facilitate faster communication, more efficient organisation and rapid access to information. However, concerns have been expressed regarding the widespread use of these unregulated apps. To date, a matter of grave concern related to the use of medical apps has been neglected. Patients, with increasing frequency, are presenting to their doctor armed with the questionable medical opinion of these apps. This has far reaching practice implications. Patient education regarding the unregulated and potentially harmful content of these apps is crucial. Do they really facilitate patient empowerment or are they merely exploiting an age-old truth—that nothing is more lucrative than selling reassurance to the fearful?

Diaz J.A., Griffith R.A., Ng J.J., Reinert S.E., Friedmann P.D., Moulton A.W.

OBJECTIVES: To determine the percentage of patients enrolled in a primary care practice who use the Internet for health information, to describe the types of information sought, to evaluate patients’ perceptions of the quality of this information, and to determine if patients who use the Internet for health information discuss this with their doctors. DESIGN: Self-administered mailed survey. SETTING: Patients from a primary care internal medicine private practice. PARTICIPANTS: Randomly selected patients (N=1,000) were mailed a confidential survey between December 1999 and March 2000. The response rate was 56.2%. MEASUREMENTS AND MAIN RESULTS: Of the 512 patients who returned the survey, 53.5% (274) stated that they used the Internet for medical information. Those using the Internet for medical information were more educated (P<.001) and had higher incomes (P<.001). Respondents used the Internet for information on a broad range of medical topics. Sixty percent felt that the information on the Internet was the “same as” or “better than” information from their doctors. Of those using the Internet for health information, 59% did not discuss this information with their doctor. Neither gender, education level, nor age less than 60 years was associated with patients sharing their Web searches with their physicians. However, patients who discussed this information with their doctors rated the quality of information higher than those who did not share this information with their providers. CONCLUSIONS: Primary care providers should recognize that patients are using the World Wide Web as a source of medical and health information and should be prepared to offer suggestions for Web-based health resources and to assist patients in evaluating the quality of medical information available on the Internet.

Al Zahidy M.A., Simha S., Branda M., Borras-Osorio M., Haemmerle M., Tran V., Ridgeway J.L., Montori V.M.

Chiang Y., Yu H., Tsay P., Chen C., Chang C., Hsu C., Lo F., Moons P.

Background Young patients aged 16 to 25 years with type 1 diabetes (T1D) often encounter challenges related to deteriorating disease control and accelerated complications. Mobile apps have shown promise in enhancing self-care among youth with diabetes. However, inconsistent findings suggest that further evidence is necessary to confirm the effectiveness of app-based interventions. Objective This study aims to evaluate the effectiveness of the Healthcare CEO app in patients with T1D transitioning from adolescence to early adulthood. Methods A 2 arms, double-blind, randomized controlled trial will be conducted over a 9-month period, with strategies designed to enhance treatment fidelity. The study expects to enroll 96 patients with T1D, aged 16 to 25 years. Participants will be randomly assigned to either the experimental or control group through central randomization. The intervention will be implemented using the Healthcare CEO app, which consists of 11 interfaces. The research will compare differences in disease control outcomes, confidence in self-management, self-care behaviors, emotional distress, quality of life, and specific diabetes-related knowledge between the 2 groups at baseline and 3, 6, and 9 months after intervention. Additionally, changes within the experimental group will be analyzed before and after the intervention. Results The study was funded in August 2020. It was originally scheduled from August 2020 to July 2022 but was interrupted by the COVID-19 pandemic after enrolling 38 participants, with preliminary results anticipated for publication by November 2024. Recruitment resumed in August 2023, with findings expected to be finalized by July 2025. Conclusions The Healthcare CEO app is a comprehensive solution tailored specifically for individuals with T1D transitioning from adolescence to early adulthood. This innovative app has the potential to improve the quality of care for adolescents with T1D during this critical stage and may serve as valuable evidence in support of app-based intervention strategies. Trial Registration ClinicalTrials.gov NCT05022875; https://www.clinicaltrials.gov/study/NCT05022875 International Registered Report Identifier (IRRID) DERR1-10.2196/59871

Shen Y., Zheng J., Lin L., Hu L., Lu Z., Gao C.

Background: Diabetes apps have the potential to improve self-management among people with type 2 diabetes mellitus (T2DM) and thereby prevent complications. However, premature disengagement of diabetes apps hinders this potential. Objective: This study aimed to identify facilitators of and barriers to the continued use of apps among T2DM patients and to formulate recommendations to enhance patients’ adherence to diabetes apps. Design: Qualitative study that followed the Consolidated Criteria for Reporting. Qualitative Research (COREQ) guidelines. Methods: Semi-structured interviews were conducted among 15 T2DM patients who continued real-world use of a diabetes app over 1 month. Data were analyzed using conventional content analysis. Results: The results showed that patients were triggered to continue app use by internally directed facilitators (health concerns, need for knowledge, self-conscious emotions) and externally directed facilitators (change in medication, reminders from health professionals). However, app use declined among all participants due to user-specific barriers (increased knowledge and experience, therapeutic inertia, diabetes stigma) and app-specific barriers. Notably, different app-specific barriers were identified in different self-managers: for novice self-managers, the app provided inconsistent information; for competent self-managers, the app provided invalid information and service; and for expert self-managers, the app was no longer being intelligent and new. Conclusions: The success of diabetes app continuance cannot be achieved by diabetes apps alone; rather, diabetes patients, health professionals, medical organizations, regulators, and integration technologies need to be gathered. Consistent, relevant, and current information, timely and continual service, psychological support should be guaranteed.

Hannemann T., Kopáňková N., Surynková P.

In today’s world, having at least basic digital skills is essential in working, social, and family life. The present study uses grounded theory to explore ways in which people with little formal schooling engage with the digital world. Drawing on 54 semi-structured interviews, it describes how people with little IT experience from formal education obtain information about digital security, privacy, the functioning of antivirus software, software updates, and so on. We introduce the concepts of computer world and ministories which draw parallels between the online and offline worlds. While creating the concepts of computer world and ministories, we follow Richard Mayer’s theory of multimedia learning, and thus ministories are based on the appropriate combination of images and texts. The study attempts to answer the following general question: ‘Is it better to teach people how to work with specific apps for everyday use or teach them the principles that are behind them?’. This question should be asked when creating new approach in IT education and not only in lifelong learning.

Cheah K.J., Abdul Manaf Z., Fitri Mat Ludin A., Razalli N.H., Mohd Mokhtar N., Md Ali S.H.

Abstract Background The success of mobile apps in improving the lifestyle of patients with noncommunicable diseases through self-management interventions is contingent upon the emerging growth in this field. While users of mobile health (mHealth) apps continue to grow in number, little is known about the quality of available apps that provide self-management for common noncommunicable diseases such as diabetes, hypertension, and obesity. Objective We aimed to investigate the availability, characteristics, and quality of mHealth apps for common noncommunicable disease health management that included dietary aspects (based on the developer’s description), as well as their features for promoting health outcomes and self-monitoring. Methods A systematic search of English-language apps on the Google Play Store (Google LLC) and Apple App Store (Apple Inc) was conducted between August 7, 2022, and September 13, 2022. The search terms used included weight management, obesity, diabetes, hypertension, cardiovascular diseases, stroke, and diet. The selected mHealth apps’ titles and content were screened based on the description that was provided. Apps that were not designed with self-management features were excluded. We analyzed the mHealth apps by category and whether they involved health care professionals, were based on scientific testing, and had self-monitoring features. A validated and multidimensional tool, the Mobile App Rating Scale (MARS), was used to evaluate each mHealth app’s quality based on a 5-point Likert scale from 1 (inadequate) to 5 (excellent). Results Overall, 42 apps were identified. Diabetes-specific mHealth apps accounted for 7% (n=3) of the market, hypertension apps for 12% (n=5), and general noncommunicable disease management apps for 21% (n=9). About 38% (n=16) of the apps were for managing chronic diseases, while 74% (n=31) were for weight management. Self-management features such as weight tracking, BMI calculators, diet tracking, and fluid intake tracking were seen in 86% (n=36) of the apps. Most mHealth apps (n=37, 88%) did not indicate whether there was involvement of health professionals in app development. Additionally, none of the apps reported scientific evidence demonstrating their efficacy in managing health. The overall mean MARS score was 3.2 of 5, with a range of 2.0 to 4.1. Functionality was the best-rated category (mean score 3.9, SD 0.5), followed by aesthetics (mean score 3.2, SD 0.9), information (mean score 3.1, SD 0.7), and engagement (mean score 2.9, SD 0.6). Conclusions The quality of mHealth apps for managing chronic diseases was heterogeneous, with roughly half of them falling short of acceptable standards for both quality and content. The majority of apps contained scant information about scientific evidence and the developer’s history. To increase user confidence and accomplish desired health outcomes, mHealth apps should be optimized with the help of health care professionals. Future studies on mHealth content analysis should focus on other diseases as well.

Rebus D., Iskander A., Deonarine F., Almas A., Rattigan D., Henn P., Fadahunsi K.P., O'Donoghue J.

Background Diabetes is among the most common chronic conditions people live with across the world. While it can be managed to a substantial degree, it can result in significant complications. As such, easy access to accurate tools to aid diabetes management is useful in minimizing these complications. Mobile apps are highly accessible and widely used, but there is a gap in the literature examining their compliance with medical guidelines. Objective The aims of this study are to develop the Analysis of Diabetes Apps (ADA) checklist to evaluate apps’ compliance to guidelines set by the International Diabetes Federation (IDF) on the treatment and management of type 2 diabetes; to assess type 2 diabetes apps in the Apple App Store and the Android Google Play Store, and their compliance with international guidelines using the ADA framework; and to compare the novel ADA checklist against both the Mobile App Rating Scale (MARS) tool kit and app ratings for each store. Methods We will develop a checklist based on the “IDF Clinical Practice Recommendations for Managing Type 2 Diabetes in Primary Care.” Type 2 diabetes apps will be scraped from 6 countries’ app stores using web scraping tools. These countries include Australia, Brazil, India, Nigeria, the United States, and the United Kingdom, which were selected based on the largest population of English-speaking people in each continent. The apps will be searched on the web-based scraper using the search terms “blood sugar,” “diabetes,” “glucose level,” “insulin,” “sugar level,” and “type 2 diabetes.” Apps will be excluded if they are paid or are not in English. The apps will be assessed using the ADA checklist to evaluate their compliance to the international diabetes guidelines. Once scored, the results will be analyzed with descriptive statistics. The most popular apps will be further analyzed using the MARS tool kit. The ADA checklist scores will then be compared to both the MARS tool kit score and app ratings for each store. Results The ADA checklist developed based on the IDF guidelines focuses on general information, risk factors, diagnosis, pharmacology, lifestyle modification, glycemic recommendations, and medications. The initial stress testing of the protocol resulted in 173 included apps. This will vary in the final search as the app stores are constantly changing. Conclusions The protocol presents the development of a checklist to investigate the compliance of type 2 diabetes apps with international guidelines. The checklist will hopefully form the basis of a scoring system for future research on compliance of mobile apps with international guidelines. High standardization of the ADA checklist will make it a robust tool for people with diabetes and their health care providers alike in assessing type 2 diabetes apps in the future. International Registered Report Identifier (IRRID) PRR1-10.2196/48781

Guo S.H., Lin J., Hsing H., Lee C., Chuang S.

Background The promotion of mobile health (mHealth) and eHealth technologies as tools for managing chronic diseases, particularly diabetes mellitus, is on the rise. Nevertheless, individuals with diabetes frequently face a literacy gap that hinders their ability to fully leverage the benefits offered by these resources. Enhancing technology literacy to facilitate the adoption of mobile eHealth services poses a significant challenge in numerous countries. Objective This study aims to develop an educational mobile eHealth literacy (eHL) program for patients with diabetes and to evaluate its effect on patients’ outcomes. Methods This study designed a mobile eHL education program comprising 2 modules specifically tailored for individuals with type 2 diabetes (T2D). These modules focused on guiding participants through the process of effectively navigating reliable health websites and utilizing diabetes-related apps. Using a pre- and posttest experimental design, the study featured an intervention group and a control group. Participants were recruited from 3 outpatient departments in hospitals, and assessments were conducted both before and after the intervention, along with a follow-up measure at the 3-month mark. The evaluation encompassed sociodemographic characteristics, computer and internet proficiency, mobile app usage, mobile eHL, and patient outcomes such as self-care behaviors and glycated hemoglobin (HbA1c) levels. Results The analysis included a total of 132 eligible participants. Significant differences were observed in the mean scores of knowledge (P<.001) and skills (P<.001) related to computers, the web, and mobile devices at the initiation of the study and after the intervention. During the 3-month follow-up, the findings indicated a significant improvement in mobile eHL (t114=3.391, P=.001) and mHealth literacy (mHL, a subconcept of mobile eHL; t114=3.801, P<.001) within the intervention group, whereas no such improvement was observed in the control group. The chi-square values from the McNemar test underscored that individuals with uncontrolled diabetes (HbA1c≥7%) in the intervention group exhibited more improvement compared with the control group. The generalized estimating equations model unveiled a significant difference in the change of general mHL in the intervention group (β=1.91, P=.047) and self-care behavior in the control group from T0 to T2 (β=–8.21, P=.015). Despite being small, the effect sizes for mobile eHL (d=0.49) and HbA1c (d=0.33) in the intervention group were greater than those in the control group (d=0.14 and d=0.16, respectively). Conclusions The implementation of a mobile eHL education intervention demonstrates a positive influence on the familiarity of patients with T2D regarding health technology, leading to favorable glycemic outcomes. While additional studies are warranted for a more comprehensive understanding, this program emerges as a promising solution for enhancing patients’ uptake of digital health technology.

Tao X., Zhang P., Zhang X., Mao L., Peiris D.

Type 2 diabetes (T2DM) is highly prevalent in China, affecting over 114 million people. While mHealth interventions have shown promise, there is limited research on T2DM management apps in real-world app stores.This study aimed to systematically search and analyze T2DM care mobile apps in the Chinese market, describing their features, and functions, and evaluating the quality of the most popular apps using validated tools.We conducted a comprehensive search in Chinese Android and iOS app stores for T2DM management apps. We downloaded 138 eligible ones for a general review of their key features and function. We also assessed the quality of the top 20 apps from both platforms using the Mobile App Rating Scale (MARS) by both researcher and patient.A total of 3524 apps were searched. 138 eligible apps were downloaded for general review and 29 popular apps were included for quality assessment. Most apps were designed for patient users (87.0 %) and developed by commercial companies (85.5 %). Common functions included blood glucose monitoring, diabetes education, integration with measuring devices, medication adherence reminders, teleconsultation services, and diabetes risk factor tracking. The researcher's evaluation yielded an average MARS score of 4.0 out of 5 for popular apps, with subscale scores of functionalities (4.5), aesthetics (4.1), engagement (3.7), and information (3.6). However, patient ratings were lower in functionality (3.5), aesthetics (3.4), and engagement (2.6), and the patient faced difficulties with information-related items. Similar trends were observed in subject quality items.App developers should engage caregivers, and family members as target users, and involve government agencies as partners to improve T2DM management apps. Future apps should incorporate scientifically proven advanced functions to enhance their effectiveness. The quality assessment highlighted weaknesses in engagement and information and the importance of user-centric approaches in app development.

Gopalakrishnan T.R., Jacob R., Periyandavar I.

This study explores the interplay between fear or threat perception and adoption of health apps among individuals with diabetes. It draws on the concept of "fear" as an emotional response stemming from perceived threat, raising the question of whether threat perception drives the uptake of health apps.This study investigates the influence of diabetes threat perception on app adoption, akin to the role of fear appeal in behavior change communication. This study employed both a handout questionnaire and an online survey tool, Survey Monkey, for data collection. Using purposive sampling, data were collected from 222 individuals aged 35 years and above with diabetes in Chennai.The results indicate that threat perception can trigger health app usage among people with high diabetic conditions, supporting the broader literature on fear appeal. Additionally, the perceived threat of diabetes is elevated among app users. Notably, a significant positive correlation exists between perceived threat of diabetes, daily app usage, and consistent app use.This study underscores that the extent of perceived harm or vulnerability to threats influences individuals' behavioral changes. It introduces new avenues for encouraging health app usage among high-risk groups.

Rebus D., Iskander A., Deonarine F., Almas A., Rattigan D., Henn P., Fadahunsi K.P., O'Donoghue J.

BACKGROUND Diabetes is among the most common chronic conditions people live with, in the globe. While it can be managed to a substantial degree, it can have complications that need to be monitored. As such, easy access to accurate and safe tools to assist diabetes management is essential. Mobile apps are highly accessible and widely used, but there is a gap in the literature examining their medical adherence to the guidelines. OBJECTIVE Purpose: To review apps related to type 2 diabetes found on the Apple iTunes store and the Android Google Play Stores, and their adherence to international guidelines on the treatment and management of Type 2 diabetes. METHODS Methods: We examined 400 IOS and Android apps and compared them to a framework created by the group. The apps were screened through the search terms “diabetes” and “type 2 diabetes”. Apps will be removed if they are paid, not in English or have been discontinued. The apps are then compared to a novel rating system to evaluate their compliance to international diabetes guidelines. The most popular apps will be scored using MARS (Mobile Application Rating System). These systems will then be compared for differences between rating systems. RESULTS Results: Apps will be scraped from both stores with around 400 apps as the sample size goal. It will be analysed with descriptive statistics to assess the range and type of global diabetic apps. Apps will be analysed also against the MARS scores collated. CONCLUSIONS Discussion: This Protocol provides a detailed and objective way to investigate the medical adherence of apps made to assist type 2 diabetic patient. The proposed methodology provides a robust approach for diabetics and their healthcare providers alike in formulating and following up on their management plan.

Klemme I., Wrona K.J., de Jong I.M., Dockweiler C., Aschentrup L., Albrecht J.

Background Diabetes is a major global epidemic and serious public health problem. Diabetes self-management is a 24/7 challenge for people with type 1 diabetes that influences their quality of life (QoL). Certain apps can support the self-management of people with diabetes; however, current apps do not meet the needs of people with diabetes appropriately, and their safety is not ensured. Moreover, there are a multitude of hardware and software problems associated with diabetes apps and regulations. Clear guidelines are required to regulate medical care via apps. In Germany, apps must undergo 2 examination processes to be listed in the Digitale Gesundheitsanwendungen directory. However, neither examination process considers whether the medical use of the apps is sufficient for users’ self-management. Objective This study aims to contribute to the technology development process of diabetes apps by exploring individual perspectives on desired features and content of diabetes apps among people with diabetes. The vision assessment conducted is a first step toward creating a shared vision among all relevant stakeholders. To ensure adequate research and development processes for diabetes apps in the future, guiding visions from all relevant stakeholders are required. Methods In a qualitative study, 24 semistructured interviews with patients with type 1 diabetes were conducted, among whom 10 (42%) were currently using an app. To clarify the perceptions of people with diabetes regarding the functions and content of diabetes apps, a vision assessment was conducted. Results People with diabetes have concrete ideas of features and content in apps to improve their QoL and allow them to live as comfortably as possible, such as informative predictions through artificial intelligence, improvements in signal loss and value delay through smartwatches, improved communication and information-sharing capabilities, reliable information sources, and user-friendly and discreet messaging options through smartwatches. In addition, according to people with diabetes, future apps should show improved sensors and app connectivity to avoid incorrect values being displayed. They also wish for an explicit indication that displayed values are delayed. In addition, personalized information was found to be lacking in apps. Conclusions People with type 1 diabetes want future apps to improve their self-management and QoL and reduce stigma. Desired key features include personalized artificial intelligence predictions of blood glucose levels, improved communication and information sharing through chat and forum options, comprehensive information resources, and smartwatch alerts. A vision assessment is the first step in creating a shared vision among stakeholders to responsibly guide the development of diabetes apps. Relevant stakeholders include patient organizations, health care professionals, insurers, policy makers, device manufacturers, app developers, researchers, medical ethicists, and data security experts. After the research and development process, new apps must be launched while considering regulations regarding data security, liability, and reimbursement.

Chrysi M.S., Michopoulos I., Dimitriadis G., Peppa M.

Abstract Background Health promotion programs are most beneficial in chronic diseases such as diabetes and morbid obesity, which can be positively affected by changes in attitudes, beliefs, and lifestyle. Objectives This study aimed to develop an internet-based modern Health Promotion model using interactive online applications through continuing education and participation. Methods The goal was to positively impact knowledge, behavior, and quality of life for patients with obesity and/or diabetes. This is a prospective interventional study on patients with obesity or type 2 diabetes. Seventeen two patients who met the inclusion criteria were distributed randomly into two groups (control and intervention) from 2019 to 2021 in Greece. All the participants were given questionaries concerning quality of life anxiety and depression (HADS) attitudes and beliefs, knowledge about their condition and general questions to establish a baseline. A traditional health promotion model was followed for the control group. For participants in the intervention group, a web-based health promotion program was created according to the goals of the research. Participants were instructed to log on 1–2 times a week for 5–15 min, with the understanding that the research team would be monitoring their activities. The website included two knowledge games and personalized educational material based on their needs. Results The sample comprised 72 patients (36 in control and 36 in the intervention groups). The mean age was 47.8 years for the control group and 42.7 years for the intervention group (p = 0.293). Both study groups had a significant increase in knowledge score on diabetes (Control group:3,24, Intervention group 11,88 p < 0,001) and obesity (Control group:4,9, Intervention group 51,63 p < 0,001) along with a positive attitude score towards fighting obesity (Control group: 1,8, Intervention group 13,6 p < 0,001). Still, the overall change was more remarkable for the intervention group, as indicated by the significant interaction effect of the analysis. Anxiety was decreased only in the intervention group (Control group:0,11, Intervention group − 0,17 p < 0,005). Analysis for QOL during follow-up showed that Physical Health and Level of Independence was improved in both study groups but the degree of improvement was more significant in the intervention group (Control group 0,31,Intervention group 0,73 p < 0,001). Psychological Health was improved only in the intervention group, with better scores at 6 and 12 months compared to controls (Control group 0,28,Intervention group 1,42 p < 0,001). Furthermore, Social relationships were improved only in the intervention group (Control group 0,02, Intervention group 0,56 p < 0,001). Conclusions The results of the present study showed that the participants in the intervention group showed significant improvement in knowledge, attitudes, and beliefs after using the internet as a learning tool. The intervention group also showed significantly reduced anxiety and depression arising from chronic illness. All of this resulted in an improved quality of life regarding physical Health, mental Health, and social relationships. Technology and online-based health promotion programs can revolutionize how we approach the prevention and management of chronic and terminal illnesses by improving accessibility, personalizing care, increasing engagement and motivation, improving data analysis, and disease management.

Ebrahimi N., Mohammadzadeh N., Ayyoubzadeh S.M.

Noser A.E., Lancaster B.D., Hommel K.A., Roberts C.M., King J.A., Alt E., Fredericks E.M., Ramsey R.R.

Inclusion of evidence-based behavior change techniques (e.g., self-monitoring) in mobile health apps has the potential to promote adherence to inflammatory bowel disease treatment. While inflammatory bowel disease management apps exist, the extent to which they incorporate behavior change techniques remains unknown. The present study systematically evaluated the content and quality of free, commercially available inflammatory bowel disease management apps. Apps were identified using a systematic search of the Apple App and Google Play stores. Apps were evaluated using Abraham and Michie’s taxonomy of 26 behavior change techniques. A literature search was conducted to identify behavior change techniques specific and relevant for people with inflammatory bowel disease. App quality was assessed using the Mobile App Rating Scale with scores ranging from 1 (Inadequate) to 5 (Excellent). A total of 51 inflammatory bowel disease management apps were evaluated. Apps included 0–16 behavior change techniques (Mean = 4.55) and 0–10 inflammatory bowel disease management behavior change techniques (Mean = 3.43). App quality ranged from 2.03 to 4.62 (Mean = 3.39) out of 5.00. Two apps, My IBD Care: Crohn’s & Colitis and MyGiHealth GI Symptom Tracker, included the highest number of overall and inflammatory bowel disease management behavior change techniques along with high-quality scores. Bezzy IBD was the only app with a high number of overall and inflammatory bowel disease management behavior change techniques with a primary focus on social support/change. Most inflammatory bowel disease management apps reviewed included evidence-based inflammatory bowel disease management behavior change techniques.

Venkatesan A., Zimmermann G., Rawlings K., Ryan C., Voelker L., Edwards C.

Background The prevalence of diabetes remains high, with traditional lifestyle interventions demonstrating limited success in improving diabetes-related outcomes, particularly among individuals with diabetes-related mental health comorbidities. Digital health interventions provide the ability to ease the sustained and rigorous self-management needs associated with diabetes care and treatment. Current interventions though, are plagued by small sample sizes, underpowered pilot studies, and immense heterogeneity in program intervention, duration, and measured outcomes. Objective Therefore, this work aimed to evaluate the effectiveness of a mobile health diabetes management program on measures of glycemic control in a high-risk population with type 2 diabetes (hemoglobin A1c [HbA1c] ≥8.0%), utilizing a sample of 1128 participants who provided baseline and follow-up data. The sustainability of this change in glycemic control was examined in a subset of participants (n=455) at 6 months and 1 year following program enrollment. A secondary analysis examined changes in glycemic control among a subset of participants with self-reported mild-to-moderate depression at baseline. Methods This study utilized a single-arm, retrospective design. Participants were enrolled in the Vida Health Diabetes Management Program. This app-based intervention utilized one-on-one remote sessions with a health coach, registered dietitian nutritionist, and/or a certified diabetes care and education specialist and structured lessons and tools related to diabetes management and self-care. Participants provided baseline (–365 to 21 days of program enrollment) as well as follow-up (at least 90 days following program enrollment) HbA1c values. Paired t tests were used to evaluate changes in HbA1c between baseline and follow-up time points. The 8-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder Scale were utilized to assess self-reported depressive and anxiety symptoms, respectively. Paired t tests and linear regression modeling accounting for pertinent covariates were used to evaluate changes in mental health symptom acuity and their relationship with changes in glycemic control. Results We observed a significant decrease in HbA1c of –1.35 points between baseline (mean 9.84, SD 1.64) and follow-up (mean 8.48, SD 1.77; t=22.56, P<.001) among this large, high-risk sample. This decrease was sustained up to 1 year following program enrollment. Additionally, a significant relationship between improvements in depressive symptom acuity and improvements in HbA1c was observed (β=–0.74, P=.03). Conclusions This study demonstrates clinically meaningful improvements in glycemic control among participants enrolled in the Vida Health Diabetes Management Program. Additionally, this work presents one of the largest studied samples of participants enrolled in a digital health diabetes management program to date.