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

People with type 2 diabetes experiences of using WhatsApp-based diabetes self-management education and support: The process evaluation

RATIONAL

Online Diabetes Self-Management Education and Support (DSMES) offers people with type 2 diabetes mellitus (T2DM) accessible and tailored education, utilising innovative and interactive tools such as social media to enhance engagement and outcomes. Despite the demonstrated effectiveness of social media-based DSMES in improving health outcomes, there remains a significant gap in qualitative insights regarding participants' experiences.

AIM

This study aims to explore the experiences of people with T2DM who are using a newly developed WhatsApp-based DSMES.

METHODS

A qualitative descriptive approach was adopted. Data consisted of 23 semi-structured phone interviews with people with T2DM who had received the WhatsApp-based DSMES. Interviews were analysed using qualitative content analysis. The present study adheres to the COREQ guidelines.

RESULTS

Four themes emerged from the data: (1) acceptability of the programme, (2) flexible accessibility of the programme, (3) promoting healthy lifestyle and (4) future preferences for the programme use.

CONCLUSION

This study explored the experiences of people with T2DM participating in a 6-week WhatsApp-based DSMES. The findings indicated that the programme was acceptable, accessible, effectively revealing necessary self-management knowledge and skills, and provided essential support from professional and peer. The study also indicated that WhatsApp-based programmes could be feasibly implemented in various populations, healthcare settings and communities to support people with T2DM globally.

What Is the Tech Missing? Nutrition Reporting in Type 1 Diabetes

INTRODUCTION

Type 1 Diabetes (T1D) presents self-management challenges, requiring an additional 180 daily decisions to regulate blood glucose (BG) levels. Despite the potential, T1D-focused applications have a 43% attrition rate. This work delves into the willingness of people living with T1D (PwT1D) to use technology.

METHOD

An online questionnaire investigated the current practices for carbohydrate estimation, nutritional tracking, and attitudes towards technology engagement, along with hypothetical scenarios and preferences regarding technology use.

RESULTS

Thirty-nine responses were collected from PwT1D (n = 33) and caregivers (n = 6). Nutrition reporting preferences varied, with 50% favoring 'type and scroll' while 30% preferred meal photographing. Concerning the timing of reporting, 33% reported before meals, 55% after, and 12% at a later time. Improved Time in Range (TIR) was a strong motivator for app use, with 78% expressing readiness to adjust insulin doses based on app suggestions for optimizing TIR. Meal descriptions varied; a single word was used in 42% of cases, 23% used a simple description (i.e., "Sunday dinner"), 30% included portion sizes, and 8% provided full recipes.

CONCLUSION

PwT1D shows interest in using technology to reduce the diabetes burden when it leads to an improved TIR. For such technology to be ecologically valid, it needs to strike a balance between requiring minimal user input and providing significant data, such as meal tags, to ensure accurate blood glucose management without overwhelming users with reporting tasks.

Accuracy of an Off-Label Transmitter and Data Manager Paired With an Intermittent Scanned Continuous Glucose Monitor in Adults With Type 1 Diabetes

BACKGROUND

This work evaluates the accuracy and agreement between the FreeStyle Libre sensor (FSL) and an off-label converted real-time continuous glucose monitor (c-rtCGM) device consisting of the MiaoMiao transmitter and the xDrip+ application which can be coupled to the FSL.

METHODS

Four weeks of glucose data were collected from 21 participants with type 1 diabetes using the c-rtCGM and FSL: two weeks with a single initial calibration (uncalibrated) and two weeks with a daily calibration (calibrated). Accuracy and agreement evaluation included mean absolute relative difference (MARD), the %20/20 rule, Bland-Altman plots, and the Consensus Error Grid analysis.

RESULTS

Values reported by the c-rtCGM system compared with the FSL resulted in an overall MARD of 12.06% and 84.71% of the results falling within Consensus Error Grid Zone A when the device is calibrated. For uncalibrated devices, an overall MARD of 17.49% was obtained. Decreased accuracy was shown in the hypoglycemic range and for rates of change greater than 2 mg/dL/min. The between-device bias also incremented with increasing glucose values.

CONCLUSION

Measurements recorded by the c-rtCGM were found to be accurate when compared with FSL data only when performing daily c-rtCGM device calibrations. High drops in accuracy and agreement between devices occurred when the c-rtCGM was not calibrated.

Exploring Technology's Influence on Health Behaviours and Well-being in Type 1 Diabetes: a Review

PURPOSE OF REVIEW

Maintaining positive health behaviours promotes better health outcomes for people with type 1 diabetes (T1D). However, implementing these behaviours may also lead to additional management burdens and challenges. Diabetes technologies, including continuous glucose monitoring systems, automated insulin delivery systems, and digital platforms, are being rapidly developed and widely used to reduce these burdens. Our aim was to review recent evidence to explore the influence of these technologies on health behaviours and well-being among adults with T1D and discuss future directions.

RECENT FINDINGS

Current evidence, albeit limited, suggests that technologies applied in diabetes self-management education and support (DSME/S), nutrition, physical activity (PA), and psychosocial care areas improved glucose outcomes. They may also increase flexibility in insulin adjustment and eating behaviours, reduce carb counting burden, increase confidence in PA, and reduce mental burden. Technologies have the potential to promote health behaviours changes and well-being for people with T1D. More confirmative studies on their effectiveness and safety are needed to ensure optimal integration in standard care practices.

Type 1 Diabetes in Singapore: Self-Care Challenges, Diabetes Technology Awareness, Current Use, and Satisfaction, an Online Survey

Introduction

To describe the self-care challenges, diabetes technology awareness, current use, and satisfaction among adults with type 1 diabetes and parents of children with type 1 diabetes in Singapore.

Methods

An anonymous online survey was administered between November 2020 and October 2021. Data are presented as mean (standard deviation) or count (percentages). Comparisons between groups were done using the independent samples T-test.

Results

251 people (176 adults, 75 parents) participated. The most challenging self-care burdens were carbohydrate counting (24.4%) among adults and insulin dose calculations (28%) among parents. Nocturnal awakenings for diabetes care of their child were a common event (25.3%). Despite high awareness about continuous glucose monitoring devices (77.8% adults, 78.7% parents) the use (24.9% adults, 55% children) remained low. Both adults and parents of children with type 1 diabetes found continuous glucose monitoring to be liberating and less restrictive. Despite overall low insulin pump use (23.9% adults, 29.3% children); satisfaction scores were higher among insulin pump users than insulin pen users (P = 0.02).

Conclusion

Carbohydrate counting and insulin dose calculations were the most challenging self-care tasks among people with type 1 diabetes in Singapore. Diabetes technology use was relatively low in Singapore. Continuous glucose monitoring and Insulin pump users found them to be beneficial.

The effect of diabetes training through social networks on metabolic control of individuals with type 2 diabetes; a randomized controlled trial

Background

Due to spread of smart phones, opportunity to train patients with diabetes and communicate with them using social media is rising. Aim of this study was to evaluate the effect of training through two popular social networks in Iran ("Telegram" and "Soroush") and the metabolic control of people with Type 2 diabetes.

Methods

In this randomized controlled trial, we recruited 134 patients with type 2 diabetes, which randomly allocated into two groups: the intervention and the control group on a 1:1 basis. The studied tools included demographic information and awareness of diabetes and international physical activity questionnaires. The intervention comprised a training package that delivered to the intervention group via social media for 45 days. The primary outcome measures included awareness of diabetes management and physical activity level while secondary outcome measures were HbA1c and lipid profile.

Results

Social network training led to the increase of the patients' awareness (44.31 ± 2.78 to 46.88 ± 2.25 in intervention group vs 44.14 ± 3.85 to 44.41 ± 3.87 in control group) and physical activities level (23.64 ± 8.46 to 31.68 ± 7.12 in intervention group vs 26.20 ± 9.39 to 30.20 ± 8.11 in control group) (p-value < 0.001). Besides, LDL and HDL levels, and HbA1c (8.19 ± 2.10 to 8.05 ± 1.96 in intervention group vs. 7.53 ± 1.67 to 7.45 ± 1.34 in control group) decreased significantly (p-value < 0.05).

Conclusions

Changes in lifestyle and challenges of the patients' attendance in diabetes training sessions, declared that use of social networks can be useful to train diabetes patients remotely, and it is feasible to send training messages to help them improve their diabetes care.

The effect of hospital-to-home transitional care using a digital messaging application on the health outcomes of patients undergoing CABG and their family caregivers: a randomized controlled trial study protocol

Objectives

Given the increasing trend of care transition from healthcare settings to patients' own home, patients and their family caregivers should take more responsibilities for care at own home. This study is going to investigate the effect of a transitional care program from hospital to own home using a digital messaging application on patients' undergoing coronary artery bypass graft (CABG) surgery and their family caregivers' health outcomes.

Methods

A parallel randomized controlled trial study will be conducted in a hospital in a metropolis located in southwestern Iran. Sampling will be performed sequentially and the eligible dyad of patients and family caregivers will be randomly assigned to intervention and control groups. The intervention group will receive a transitional care program for 8 weeks using the WhatsApp on the mobile phone based on the person-centered care approach, but the control group will receive routine care for patient's transition. Data collection will be conducted at baseline, immediately after the intervention, and two months after the intervention using demographic questionnaire, Cardiac Self-Efficacy Scale (CSES), MacNew Heart Disease Health-Related Quality of Life questionnaire (MNHD-Q), Cardiac Symptom Scale (CSS), Morisky Medication Adherence Scale, and Caregiver Burden Scale (CBS). Descriptive and inferential statistics will be used for data analysis.

Conclusions

The results of this study will allow evaluating the effectiveness of an innovative transitional care program to patients' own home using a digital messaging application. If the transitional program is shown feasible and effective it can be incorporated into existing care programs and stimulate further studies on the use of digital solutions for improving the continuity of care in own home.

Does fear drive health app adoption? The role of threat perception in diabetes app usage

BACKGROUND AND AIM

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

A multisectoral and multidisciplinary endeavor: a review of diabetes self-management apps in China

BACKGROUND

While the use of self-management apps has considerable promise to efficiently reduce the diabetes burden that disproportionally affects low- and middle-income countries (LMICs), and the multisectoral and multidisciplinary approaches have been encouraged to be used in diabetes management, little is known about the status of the integration of these approaches in the existing diabetes self-management apps. This review examines the diabetes apps in China as an indication of the current status of integrating multisectoral and multidisciplinary approaches in diabetes mHealth care in LMICs.

METHODS

Eligible diabetes apps were searched on major Chinese app stores up to December 23, 2022. The app comprehensiveness index (ranging 0-80) regarding the app functions and diabetes management domains was created. The multisectoral and multidisciplinary features were summarized using indices derived from current guidance.

RESULTS

Sixty-six apps were reviewed, all developed by private companies. The average comprehensiveness score was 16, with many major self-management domains and functions not represented among the reviewed apps. Forty apps (61%) involved multiple sectoral entities, with public/private and private/private collaborations being the most common collaborative combinations. Thirty-seven apps (56%) involved multiple disciplines, among which endocrinology/metabolism, nutrition, and cardiovascular medicine were the top three most common disciplines. Compared to non-multidisciplinary apps, multidisciplinary apps tended to provide more comprehensive services in apps (6.14 vs. 5.18, p = 0.0345). Different sectors and disciplines tended to work independently, without robust interactions, in providing diabetes management services in the reviewed apps.

CONCLUSION

Multisectoral and multidisciplinary features has presented in the current diabetes self-management apps in China; however, it is still in its infancy and significant limitations existed. More engagement of civil society organizations and community groups and innovative collaborations between sectors and disciplines are needed to provide comprehensive, continuous, and patient-centered mHealth care for patients with diabetes in LMICs like China. Clear guidance for integrating and evaluating the multisectoral and multidisciplinary efforts in self-management apps is necessary to ensure the effective use of mHealth solutions for diabetes management in LMICs.

A Diabetes Education App for People Living With Type 2 Diabetes: Co-Design Study

BACKGROUND

Type 2 diabetes (T2D) is a growing global health concern, including in Singapore. Diabetes education programs have been shown to be effective in improving health outcomes and diabetes self-management skills. Mobile health apps have emerged as useful tools for diabetes education; however, their use and acceptance by the target population remain inconsistent. Therefore, end-user participation in the design and development of a mobile health app is crucial for designing an acceptable app that can improve outcomes for populations with a chronic disease.

OBJECTIVE

The objective of this study was to apply an end-user participatory approach to co-design a diabetes education app prototype for people living with T2D by exploring their perceptions, acceptance, and usability of an app prototype, as well as their diabetes experience and perspectives on digital diabetes education.

METHODS

A total of 8 people with T2D, who were recruited from diabetes management Facebook groups, participated in 4 web-based surveys via Qualtrics and 2 structured interviews via Zoom (Zoom Video Communications, Inc) between August 20, 2021, and January 28, 2022. Descriptive statistics and thematic analyses of the discussion and iterative feedback on the app prototype were used to assess the participants' perceptions of living with T2D, attitudes toward digital diabetes education, and acceptance of the prototype.

RESULTS

Analyses of the surveys and interview data revealed 3 themes: challenges of living with T2D; validation, acceptability, and usability of the diabetes education app prototype; and perspectives on digital diabetes education. In the first theme, participants highlighted the importance of solitary accountability, translating knowledge into practice, and developing pragmatic self-consciousness. The second theme indicated that the diabetes education app prototype was acceptable, with information and appearance being key; revealed ambivalent and polarized opinions toward the chatbot; and confirmed potential impact of the app on diabetes self-management skills and practice. The third theme comprised the necessity of using a variety of information-seeking strategies and recommendations for desired content and app qualities, including accessibility, adaptability, autonomy, evidence-based design and content, gamification, guidance, integration, personalization, and up-to-date content. The findings were used to reiterate the app design.

CONCLUSIONS

Despite a small sample size, the study demonstrated the feasibility of engaging and empowering people living with T2D to consider digital therapeutics for diabetes self-management skills and practice. Participants gave rather positive feedback on the design and content of the app prototype, with some recommendations for improvements. The findings suggest that incorporating end-user feedback into app design can lead to the creation of feasible and acceptable tools for diabetes education, potentially improving outcomes for populations with a chronic disease. Further research is needed to test the impact of the refined diabetes education app prototype on diabetes self-management skills and practice and quality of life.

Effectiveness of the Lilly Connected Care Program in Improving Glycemic Management Among Patients With Type 2 Diabetes in China: Retrospective Real-world Study

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a worldwide public health concern. Mobile health management platforms could be a potential way to achieve effective glycemic control.

OBJECTIVE

This study aimed to evaluate the real-world effectiveness of the Lilly Connected Care Program (LCCP) platform in glycemic control among patients with T2DM in China.

METHODS

This retrospective study included Chinese patients with T2DM (aged ≥18 years) from April 1, 2017, to January 31, 2020, for the LCCP group and from January 1, 2015, to January 31, 2020, for the non-LCCP group. Propensity score matching was used to match the LCCP and non-LCCP groups to reduce confounding, with covariates including age, sex, the duration of diabetes, baseline hemoglobin A_1c (HbA_1c), and the number of oral antidiabetic medication classes. HbA_1c reduction over 4 months, the proportions of patients achieving an HbA_1c reduction of ≥0.5% or ≥1%, and the proportions of patients reaching to target HbA_1c level of ≤6.5% or <7% were compared between the LCCP and non-LCCP groups. Multivariate linear regression was used to assess factors associated with HbA_1c reduction.

RESULTS

A total of 923 patients were included, among whom 303 pairs of patients were well matched after propensity score matching. HbA_1c reduction during the 4-month follow-up was significantly larger in the LCCP group than the non-LCCP group (mean 2.21%, SD 2.37% vs mean 1.65%, SD 2.29%; P=.003). The LCCP group had a higher proportion of patients with an HbA_1c reduction of ≥1% (209/303, 69% vs 174/303, 57.4%; P=.003) and ≥0.5% (229/303, 75.6% vs 206/303, 68%; P=.04). The proportions of patients reaching the target HbA_1c level of ≤6.5% were significantly different between the LCCP and non-LCCP groups (88/303, 29% vs 61/303, 20.1%; P=.01), whereas the difference in the proportions of patients reaching the target HbA_1c level of <7% was not statistically significant (LCCP vs non-LCCP: 128/303, 42.2% vs 109/303, 36%; P=.11). LCCP participation and higher baseline HbA_1c were associated with a larger HbA_1c reduction, whereas older age, longer diabetes duration, and higher baseline dose of premixed insulin analogue were associated with a smaller HbA_1c reduction.

CONCLUSIONS

The LCCP mobile platform was effective in glycemic control among patients with T2DM in China in the real world.

Attitudes and experiences of registered diabetes specialists in using health apps for managing type 2 diabetes: results from a mixed-methods study in Germany 2021/2022

BACKGROUND

Hardly any area of application for health apps is seen to be as promising as health and lifestyle support in type 2 diabetes mellitus. Research has emphasised the benefits of such mHealth apps for disease prevention, monitoring, and management, but there is still a lack of empirical data on the role that health apps play in actual type 2 diabetes care. The aim of the present study was to gain an overview of the attitudes and experiences of physicians specialising in diabetes with regard to the benefits of health apps for type 2 diabetes prevention and management.

METHODS

An online survey was conducted amongst all 1746 physicians at practices specialised in diabetes in Germany between September 2021 and April 2022. A total of 538 (31%) of the physicians contacted participated in the survey. In addition, qualitative interviews were conducted with 16 randomly selected resident diabetes specialists. None of the interviewees took part in the quantitative survey.

RESULTS

Resident diabetes specialists saw a clear benefit in type 2 diabetes-related health apps, primarily citing improvements in empowerment (73%), motivation (75%), and compliance (71%). Respondents rated self-monitoring for risk factors (88%), lifestyle-supporting (86%), and everyday routine features (82%) as especially beneficial. Physicians mainly in urban practice environments were open to apps and their use in patient care despite their potential benefit. Respondents expressed reservations and doubts on app user-friendliness in some patient groups (66%), privacy in existing apps (57%), and the legal conditions of using apps in patient care (80%). Of those surveyed, 39% felt capable of advising patients on diabetes-related apps. Most of the physicians that had already used apps in patient care saw positive effects in increased compliance (74%), earlier detection of or reduction in complications (60%), weight reduction (48%), and decreased HbA1c levels (37%).

CONCLUSIONS

Resident diabetes specialists saw a real-life benefit with added value from health apps for managing type 2 diabetes. Despite the favourable role that health apps may play in disease prevention and management, many physicians expressed reservations regarding usability, transparency, security, and privacy in such apps. These concerns should be addressed more intensively towards bringing about ideal conditions for integrating health apps successfully in diabetes care. This includes uniform standards governing quality, privacy, and legal conditions as binding as possible with regard to apps and their use in a clinical setting.

App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy

BACKGROUND

Using a diabetes app can improve glycemic control; however, the use of diabetes apps is low, possibly due to design issues that affect patient motivation.

OBJECTIVE

This study aimed to describes how adults with diabetes requiring insulin perceive diabetes apps based on 3 key psychological needs (competence, autonomy, and connectivity) described by the Self-Determination Theory (SDT) on motivation.

METHODS

This was a qualitative analysis of data collected during a crossover randomized laboratory trial (N=92) testing 2 diabetes apps. Data sources included (1) observations during app testing and (2) survey responses on desired app features. Guided by the SDT, coding categories included app functions that could address psychological needs for motivation in self-management: competence, autonomy, and connectivity.

RESULTS

Patients described design features that addressed needs for competence, autonomy, and connectivity. To promote competence, electronic data recording and analysis should help patients track and understand blood glucose (BG) results necessary for planning behavior changes. To promote autonomy, BG trend analysis should empower patients to set safe and practical personalized behavioral goals based on time and the day of the week. To promote connectivity, app email or messaging function could share data reports and communicate with others on self-management advice. Additional themes that emerged are the top general app designs to promote positive user experience: patient-friendly; automatic features of data upload; voice recognition to eliminate typing data; alert or reminder on self-management activities; and app interactivity of a sound, message, or emoji change in response to keeping or not keeping BG in the target range.

CONCLUSIONS

The application of the SDT was useful in identifying motivational app designs that address the psychological needs of competence, autonomy, and connectivity. User-centered design concepts, such as being patient-friendly, differ from the SDT because patients need a positive user experience (ie, a technology need). Patients want engaging diabetes apps that go beyond data input and output. Apps should be easy to use, provide personalized analysis reports, be interactive to affirm positive behaviors, facilitate data sharing, and support patient-clinician communication.

Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation

The increasing reliance on mobile health for managing disease conditions has opened a new frontier in digital health, thus, the need for understanding what constitutes positive and negative sentiments of the various apps. This paper relies on Embedded Deep Neural Networks (E-DNN), Kmeans, and Latent Dirichlet Allocation (LDA) for predicting the sentiments of diabetes mobile apps users and identifying the themes and sub-themes of positive and negative sentimental users. A total of 38,640 comments from 39 diabetes mobile apps obtained from the google play store are analyzed and accuracy of 87.67 % ± 2.57 % was obtained from a 10-fold leave-one-out cross-validation. This accuracy is 2.95 % - 18.71 % better than other predominant algorithms used for sentiment analysis and 3.47 % - 20.17 % better than the results obtained by previous researchers. The study also identified the challenges of diabetes mobile apps usage to include safety and security issues, outdated information for diabetes management, clumsy user interface, and difficulty controlling operations. The positives of the apps are ease of operation, lifestyle management, effectiveness in communication and control, and data management capabilities.

Improvements in Glycemic Control and Depressive Symptoms Among Adults With Type 2 Diabetes: Retrospective Study

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.

Reaching Populations at Risk for HIV Through Targeted Facebook Advertisements: Cost-Consequence Analysis

BACKGROUND

An undiagnosed HIV infection remains a public health challenge. In the digital era, social media and digital health communication have been widely used to accelerate research, improve consumer health, and facilitate public health interventions including HIV prevention.

OBJECTIVE

We aimed to evaluate and compare the projected cost and efficacy of different simulated Facebook (FB) advertisement (ad) approaches targeting at-risk populations for HIV based on new HIV diagnosis rates by age group and geographic region in the United States.

METHODS

We used the FB ad platform to simulate (without actually launching) an automatically placed video ad for a 10-day duration targeting at-risk populations for HIV. We compared the estimated total ad audience, daily reach, daily clicks, and cost. We tested ads for the age group of 13 to 24 years (in which undiagnosed HIV is most prevalent), other age groups, US geographic regions and states, and different campaign budgets. We then estimated the ad cost per new HIV diagnosis based on HIV positivity rates and the average health care industry conversion rate.

RESULTS

On April 20, 2021, the potential reach of targeted ads to at-risk populations for HIV in the United States was approximately 16 million for all age groups and 3.3 million for age group 13 to 24 years, with the highest potential reach in California, Texas, Florida, and New York. When using different FB ad budgets, the daily reach and daily clicks per US dollar followed a cumulative distribution curve of an exponential function. Using multiple US $10 ten-day ads, the cost per every new HIV diagnosis ranged from US $13.09 to US $37.82, with an average cost of US $19.45. In contrast, a 1-time national ad had a cost of US $72.76 to US $452.25 per new HIV diagnosis (mean US $166.79). The estimated cost per new HIV diagnosis ranged from US $13.96 to US $55.10 for all age groups (highest potential reach and lowest cost in the age groups 20-29 and 30-39 years) and from US $12.55 to US $24.67 for all US regions (with the highest potential reach of 6.2 million and the lowest cost per new HIV diagnosis at US $12.55 in the US South).

CONCLUSIONS

Targeted personalized FB ads are a potential means to encourage at-risk populations for HIV to be tested, especially those aged 20 to 39 years in the US South, where the disease burden and potential reach on FB are high and the ad cost per new HIV diagnosis is low. Considering the cost efficiency of ads, the combined cost of multiple low-cost ads may be more economical than a single high-cost ad, suggesting that local FB ads could be more cost-effective than a single large-budget national FB ad.

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.

Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature

BACKGROUND

Midlife women with menopausal symptoms are less likely to meet the recommended level of physical activity (PA). Promoting PA among women in midlife could reduce their risk of cardiovascular diseases and perhaps improve menopausal symptoms. Mobile PA interventions in the form of smartphone apps and wearable activity trackers can potentially encourage users to increase PA levels and address time and resource barriers to PA. However, evidence on the acceptability and effectiveness of these interventions among midlife women is unclear.

OBJECTIVE

This systematic review evaluated the effectiveness, acceptability, and active behavior change techniques (BCTs) of mobile PA technologies among midlife menopausal women.

METHODS

A mixed methods systematic review of qualitative and quantitative studies was conducted. MEDLINE (Ovid), Embase, Scopus, CINAHL, Web of Science, SPORTDiscus, CENTRAL, PsycINFO, and the ProQuest Sports Medicine and Education Index were systematically searched. Studies were selected and screened according to predetermined eligibility criteria. In total, 2 reviewers independently assessed the risk of bias using the Mixed Methods Appraisal Tool and completed BCT mapping of the included interventions using the BCT Taxonomy v1.

RESULTS

A total of 12 studies were included in this review. Overall risk of bias was "Moderate to high" in 58% (7/12) of the included studies and "low" in 42% (5/12) of the studies. Of the 12 studies, 7 (58%) assessed changes in PA levels. The pooled effect size of 2 randomized controlled trials resulted in a small to moderate increase in moderate to vigorous PA of approximately 61.36 weekly minutes among midlife women, at least in the short term (95% CI 17.70-105.01; P=.006). Although a meta-analysis was not feasible because of heterogeneity, positive improvements were also found in a range of menopause-related outcomes such as weight reduction, anxiety management, sleep quality, and menopause-related quality of life. Midlife women perceived mobile PA interventions to be acceptable and potentially helpful in increasing PA and daily steps. The average number of BCTs per mobile PA intervention was 8.8 (range 4-13) according to the BCT Taxonomy v1. "Self-monitoring of behaviour," "Biofeedback," and "Goal setting (behaviour)" were the most frequently described BCTs across the included interventions.

CONCLUSIONS

This review demonstrated that mobile PA interventions in the form of smartphone apps and wearable trackers are potentially effective for small to moderate increases in moderate to vigorous PA among midlife women with menopausal symptoms. Although menopause is a natural condition affecting half the population worldwide, there is a substantial lack of evidence to support the acceptability and effectiveness of mobile PA interventions on menopause-related outcomes, which needs further investigation.

TRIAL REGISTRATION

PROSPERO CRD42021273062; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=273062.

Personal Goals, Barriers to Self-Management and Desired mHealth Application Features to Improve Self-Care in Multi-Ethnic Asian Patients with Type 2 Diabetes: A Qualitative Study

(1) Introduction: The ubiquity of mobile phones suggests the potential of mobile health applications to reach patients with type 2 diabetes and engage them to improve self-care. This study aimed to explore personal goals, barriers to self-management and desired mobile health application features to improve self-care among multi-ethnic Asian patients with type 2 diabetes. (2) Methods: We conducted semi-structured interviews with patients with type 2 diabetes (n = 29). Patients were recruited from a multi-disciplinary center for diabetes and metabolism in Singapore, using a purposive sampling strategy. Various visual materials, collated from existing mobile health application features, were used to facilitate the discussion. Interviews were transcribed verbatim and thematically analyzed. (3) Results: A total of 29 patients participated in 11 focus group discussions or one-on-one interviews. Personal goals for self-management were centered around short-term outcome expectancy, such as better glucose control and a reduced number of medications. Self-management was hampered by competing priorities and limited healthy food options when at work, while a lack of tailored advice from healthcare providers further diminished competence. The desired mobile health app features to improve self-care behaviors included quantifiable goal-setting, personalized nudges based on tracked data, built-in resources from credible sources, in-app social support through virtual interaction with peers and healthcare providers, technology-driven novel data logging and user-defined nudges. (4) Conclusions: We identified a set of app features that may foster motivation to engage in lifestyle modification for patients with T2DM. The findings serve to inform the design of artificial intelligence-enabled mobile health application intervention aimed at improving diabetes self-care.

Bedeutung und Einsatzpotenziale von Gesundheits-Apps in der diabetologischen Versorgung – Ergebnisse einer Befragungsstudie

Hintergrund Mit Blick auf Diabetes mellitus Typ 2 als lebensstilinduzierte Erkrankung wird ein großer potenzieller Nutzen in Gesundheits-Apps gesehen, die gesundheitsunterstützend bei Prävention und Monitoring oder auch der Therapie helfen sollen. Das Ziel der Studie ist es, den Anwendungshorizont, die Akzeptanz und Einstellungen sowie Erfahrungen von Ärzt*innen aus diabetologischen Schwerpunktpraxen hinsichtlich des Nutzungspotenzials von Gesundheits-Apps für Diagnostik, Therapie und Prävention bei Diabetes mellitus Typ 2 explorativ zu beleuchten.

Methodik Aufbauend auf mehreren Vorstudien wurden mittels schriftlicher Befragung zwischen März und Mai 2021 insgesamt 291 Ärzt*innen diabetologischer Schwerpunktpraxen in Rheinland-Pfalz, Hessen, Thüringen und dem Saarland anonymisiert befragt. Die Rücklaufquote beträgt 30% (N=88). Neben der deskriptiven Analyse wurde ein t-Test bei unabhängigen Stichproben durchgeführt.

Ergebnisse Die Befragten verbinden mit dem Einsatz von Apps eine wirksame Stärkung von Empowerment, Motivation und Compliance, aber auch durch Erinnerungs- und lebensstilunterstützenden Funktionen eine mögliche Effektivierung der Prävention und des Erkrankungsmanagements von Typ-2-Diabetes-Patient*innen. Gerade jüngere Ärzt*innen in städtischen Praxisumgebungen begegnen Gesundheits-Apps mit positiver Einstellung und greifen im Praxisalltag auf solche Tools zurück. Skepsis besteht auf Seiten der Befragten u.a. in Bezug auf die Anwendungsfreundlichkeit und Datensicherheit bestehender Apps sowie hinsichtlich rechtlicher Fragestellungen. Eine Mehrheit räumt ein, keinen ausreichenden Überblick über diabetologische Apps zu besitzen und traut sich eine Beratung von Patient*innen nur bedingt zu. Diejenigen Ärzt*innen, bei denen Apps schon in der Versorgung Einzug fanden, beobachten in großer Mehrzahl positive Effekte bei der Steigerung der Compliance, im schnelleren Aufdecken bzw. Verringern von Komplikationen, bei der Gewichtsreduktion sowie bei der Abnahme des HbA1c-Werts.

Diskussion Trotz der positiver Effekte, die Gesundheits-Apps für Prävention und Therapie haben können, bestehen bei vielen diabetologischen Ärzt*innen Vorbehalte hinsichtlich der Überschaubarkeit, Transparenz und Sicherheit von Apps. Diese Bedenken sollten verstärkt adressiert werden, um die richtigen Voraussetzungen für eine erfolgreiche Integration von Gesundheits-Apps in die diabetologische Versorgung zu schaffen (u.a. verbindliche Datenschutz- und Qualitätsstandards, klare Rechtslage in Bezug auf die Anwendung von Apps, Schulungen, Tools zur Übersicht und Einordnung).

Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study

Background

Personalized feedback is an effective behavior change technique frequently incorporated into mobile health (mHealth) apps. Innovations in data science create opportunities for leveraging the wealth of user data accumulated by mHealth apps to generate personalized health forecasts. One Drop’s digital program is one of the first to implement blood glucose forecasts for people with type 2 diabetes. The impact of these forecasts on behavior and glycemic management has not been evaluated to date.

Objective

This study sought to evaluate the impact of exposure to blood glucose forecasts on blood glucose logging behavior, average blood glucose, and percentage of glucose points in range.

Methods

This retrospective cohort study examined people with type 2 diabetes who first began using One Drop to record their blood glucose between 2019 and 2021. Cohorts included those who received blood glucose forecasts and those who did not receive forecasts. The cohorts were compared to evaluate the effect of exposure to blood glucose forecasts on logging activity, average glucose, and percentage of glucose readings in range, after controlling for potential confounding factors. Data were analyzed using analysis of covariance (ANCOVA) and regression analyses.

Results

Data from a total of 1411 One Drop users with type 2 diabetes and elevated baseline glucose were analyzed. Participants (60.6% male, 795/1311; mean age 50.2 years, SD 11.8) had diabetes for 7.1 years on average (SD 7.9). After controlling for potential confounding factors, blood glucose forecasts were associated with more frequent blood glucose logging (P=.004), lower average blood glucose (P<.001), and a higher percentage of readings in range (P=.03) after 12 weeks. Blood glucose logging partially mediated the relationship between exposure to forecasts and average glucose.

Conclusions

Individuals who received blood glucose forecasts had significantly lower average glucose, with a greater amount of glucose measurements in a healthy range after 12 weeks compared to those who did not receive forecasts. Glucose logging was identified as a partial mediator of the relationship between forecast exposure and week-12 average glucose, highlighting a potential mechanism through which glucose forecasts exert their effect. When administered as a part of a comprehensive mHealth program, blood glucose forecasts may significantly improve glycemic management among people living with type 2 diabetes.

A Smartphone-Based Application to Assist Insulin Titration in Patients Undergoing Basal Insulin-Supported Oral Antidiabetic Treatment

INTRODUCTION

INSULIA is an insulin-titration app developed for patients with type 2 diabetes treated with basal insulin as part of a basal insulin-supported oral therapy (BOT). The app uses patient-logged fasting blood glucose (FBG) values and a titration plan defined by the treating physician to provide basal insulin dosing recommendations. Physicians use the web portal to monitor their patients' therapy progress and, if necessary, adjust therapy. The aim of this study was to assess the app, specifically its features, handling and impact on diabetes treatment and self-management in Germany.

METHODS

This German retrospective pilot study included physicians (diabetologists, general practitioners, and internists) and patients with type 2 diabetes who either receive or start BOT using the app. Both groups completed group-specific questionnaires between December 2018 and June 2019.

RESULTS

Overall, 10 physicians and 34 patients with type 2 diabetes completed their respective questionnaires. Physicians perceived their app-using patients to be more involved and more confident in managing their insulin therapy than patients not using the app. The majority of patients considered the app as a tool that assists with safer insulin treatment. The physicians perceived that due to the app use, FBG and HbA_1c target values were achieved more often than patients not using the app and the number and severity of hypoglycemic episodes was reduced.

CONCLUSION

The titration app seems to have a positive impact on BOT patients' FBG and HbA_1c target achievement and was highly appreciated by both physicians and patients alike.

The role of social networks in diabetes self‐care: A cross‐sectional study

Background

Patient involvement with diabetes self‐care is critical to reducing complications, morbidity, and mortality. Social media, as one of the most important forms of digital health, has always been available for diabetes self‐care, although the role of these media in supporting patient self‐care is unclear.

Aims

The aim of this study was to investigate the role of social networks in diabetes self‐care. In this study, the most important social networks used to receive self‐care services, diabetes self‐care behaviors, diabetes self‐care educations and benefits of using various services provided through social networks were identified.

Methods

The present study is a cross‐sectional study that was conducted through an electronic researcher‐made questionnaire in 2021. Two hundred and eighteen patients were selected to participate in the study from centers of diabetes of Fasa city, south of Iran. Sampling was performed by convenience sampling and in accordance with inclusion and exclusion criteria. Data were analyzed by descriptive statistics and analytical tests.

Results

In the data analysis section on Diabetes self‐care behaviors, there was no significant relationship between gender (p = 0.292), age (p = 0.49), type of diabetes (p = 0.909) and duration of diabetes (p = 0.076) with the use of self‐care services provided through social networks. There was a significant relationship between education level and the use of self‐care services provided through social networks (p = 0.01). “Recognizing diabetes and its complications,” “observing personal hygiene,” and “the impact of physical activity on diabetes control” were the most important educations. “Increasing patient knowledge and understanding about diabetes and its complications,” “reducing the consumption of high‐calorie foods and sugars,” and “observing personal and public health” were the most important social network's benefits, respectively.

Conclusions

Various self‐care educations and services provided through social networks can increase the in‐depth knowledge of diabetic patients about self‐care techniques and their effective role in controlling and managing diabetes and performing more self‐care processes.

Health care effects and medical benefits of a smartphone-based diabetes self-management application: study protocol for a randomized controlled trial

Background

Diabetes self-management is a mainstay of diabetes care, but the implementation of self-management regimens into daily life is complex and often results in discouragement and distress. Modern approaches such as smartphone-based self-management applications are therefore needed to support people with diabetes. Since reimbursability would increase the availability of such digital applications to people with diabetes, we designed a study that meets all scientific and methodological requirements set by the German Digital Healthcare Act to allow reimbursement for a specific application (mySugr PRO). Here, we report the protocol of this study that aims at evaluating the efficacy of the digital self-management application with regard to patient-reported outcomes and medical benefits.

Methods/design

This multicenter, open-label, randomized, parallel-group, controlled trial will evaluate the health care effects and medical benefits of mySugr PRO. A total of 466 people with diabetes will be randomly allocated (2:1 randomization) to the interventional group (n = 311) that will use the digital self-management application during the 12-week study period or the control group (n = 155; no usage of the application). Baseline and follow-up examinations will assess diabetes distress as the primary endpoint as well as empowerment, HbA1c, blood glucose data, self-management, general well-being, and treatment satisfaction as secondary endpoints. Statistical analyses will use an intention-to-treat procedure (using multiple imputation for missing values) as well as a per-protocol approach for sensitivity analysis.

Discussion

To the best of our knowledge, this study will be one of the largest diabetes-specific evaluations of a digital health application supporting people with diabetes in their diabetes self-management that follow the requirements of the German Digital Healthcare Act.

Trial registration

German Clinical Trial Register DRKS00022923. Registered on 22 October 2020.

Mobile Apps for Hematological Conditions: Review and Content Analysis Using the Mobile App Rating Scale

Background

Hematological conditions are prevalent disorders that are associated with significant comorbidities and have a major impact on patient care. Concerning new tools for the care of these patients, the number of health apps aimed at hematological patients is growing. Currently, there are no quality analyses or classifications of apps for patients diagnosed with hematological conditions.

Objective

The aim of this study is to analyze the characteristics and quality of apps designed for patients diagnosed with hematological conditions by using the Mobile App Rating Scale (MARS).

Methods

We performed an observational, cross-sectional descriptive study of all smartphone apps for patients diagnosed with hematological conditions. A search was conducted in March 2021 using the following terms: anemia, blood cancer, blood disorder, hematological cancer, hematological malignancy, hematological tumor, hematology, hemophilia, hemorrhage, lymphoma, leukemia, multiple myeloma, thalassemia, thrombocytopenia, and thrombosis. The apps identified were downloaded and evaluated by 2 independent researchers. General characteristics were registered, and quality was analyzed using MARS scores. Interrater reliability was measured by using the Cohen κ coefficient.

Results

We identified 2100 apps in the initial search, and 4.19% (88/2100) of apps met the inclusion criteria and were analyzed. Of the 88 apps, 61% (54/88) were available on Android, 30% (26/88) were available on iOS, and 9% (8/88) were available on both platforms. Moreover, 7% (6/88) required payment, and 49% (43/88) were updated in the last year. Only 26% (23/88) of the apps were developed with the participation of health professionals. Most apps were informative (60/88, 68%), followed by preventive (23/88, 26%) and diagnostic (5/88, 6%). Most of the apps were intended for patients with anemia (23/88, 26%). The mean MARS score for the overall quality of the 88 apps was 3.03 (SD 1.14), ranging from 1.19 (lowest-rated app) to 4.86 (highest-rated app). Only 47% (41/88) of the apps obtained a MARS score of over 3 points (acceptable quality). Functionality was the best-rated section, followed by aesthetics, engagement, information, and app subjective quality. The five apps with the highest MARS score were the following: Multiple Myeloma Manager, Hodgkin Lymphoma Manager, Focus On Lymphoma, ALL Manager, and CLL Manager. The analysis by operating system, developer, and cost revealed statistically significant differences in MARS scores (P<.001, P<.001, and P=.049, respectively). The interrater agreement between the 2 reviewers was substantial (k=0.78).

Conclusions

There is great heterogeneity in the quality of apps for patients with hematological conditions. More than half of the apps do not meet acceptable criteria for quality and content. Most of them only provide information about the pathology, lacking interactivity and personalization options. The participation of health professionals in the development of these apps is low, although it is narrowly related to better quality.

The usefulness of the nutrition apps in self-control of diabetes mellitus - the review of literature and own experience

Intensive technology development as well as the COVID-19 pandemic has contributed to the increased interest in the telemedicine and mHealth sector. Increasing availability and use of mobile devices as well as the constantly growing number of nutritional mobile applications, resulted in creating new tools for food and meals nutrients calculation which can be used by patients with diabetes. Variety of mobile applications and multiple functions included in them enable finding applications focused on individual patients' needs. The scientific data coming from research conducted so far suggest that the regular use of mobile nutritional applications contributes to improving metabolic control of diabetes and the reduction of the value of glycated hemoglobin in patients with diabetes. Innovative solutions bring hope also for a significant improvement in the quality of life of patients. The aim of this article was to summarize the EBM knowledge about the use of mHealth in self-control and diet of patients with diabetes, especially type 1 and to present and assess the nutrition mobile applications available in polish language according to their functionality in diabetic self-control.

Association of the Coronavirus Disease 2019 Outbreak on the Diabetes Self-Management in Chinese Patients: An Analytical Cross-Sectional Study

BACKGROUND

The coronavirus disease 2019 (COVID-19) outbreak has seriously affected people's lives, especially those with chronic diseases. Diabetes self-management, which plays an important role in glycaemic control and reducing the risk of acute and long-term complications, may be discouraged by social distancing.

PURPOSE

To evaluate the level of self-management activities in Chinese patients with type 2 diabetes mellitus (T2DM) during the COVID-19 pandemic.

PATIENTS AND METHODS

A survey of with 872 patients with T2DM in the inpatient and outpatient departments through face-to-face interviews was conducted from 1 July, 2020 to 30 September, 2020. The main outcome measures were glycaemic control status and level of self-management activities during the pandemic.

RESULTS

In terms of glycaemic control, the data showed that patients with fasting plasma glucose (FPG) < 7.0 mmol/L (36.4%), postprandial plasma glucose (PPG) < 10.0 mmol/L (26.3%), or glycosylated haemoglobin (HbA1c) < 7.0% (18.6%) in our investigation has well-controlled blood glucose level, and 11.9% of patients experienced blood glucose <3.9 mmol/L during the outbreak. The diabetes self-management of Chinese patients decreased and the final diabetes self-management score of the Chinese patients was 3.4 ± 1.45. Patients with higher education, diabetes education, comorbidities, and online consultations had higher diabetes self-management scores (P <0.05). Adherence to diabetes self-management in the normal glycaemic control group was higher than that in the substandard glycaemic control group (P<0.05). Among all participants, 72.1% of the patients reduced the frequency of hospital visits, and 44.8% considered that they had diabetes-related stress during the pandemic. The mean anxiety level score rated by 286 patients was 5.3±2.8.

CONCLUSION

The COVID-19 pandemic has affected diabetes self-management, including substandard glycemic control, increased diabetes-related stress, limited exercise range and medical visits. Therefore, future interventions should focus on the online management of chronic diseases and support online consultation' development and promotion, which can overcome physical distance and provide personalized services conveniently.

A Pilot Study Evaluating the Effects of a Technology-Based and Positive Psychological Training Intervention on Blood Pressure in African Americans With Hypertension

Behavioral interventions consolidating technology are underutilized and do not reach diverse populations such as African Americans with hypertension. This pilot study aimed to evaluate the effects of a theoretically derived, technology-based intervention in African Americans with hypertension. African Americans with hypertension (N = 18; age range 25-85; 72.22% females) were randomized to the technology-based plus positive psychological training (PPT) experimental group (n = 10) or the comparison group (n = 8) for 12 weeks. The technology-based intervention included analytic components (web-based education, self-monitoring of blood pressure [BP], and medication management using a commercially free app-Medisafe) and an emotional component (comprised of skills and behaviors directed at engaging 1 in positive activities to help build increasing healthy behaviors). The comparison group received the technology-based intervention alone. Demographic information, self-management cognitive processes, self-management behaviors, and health status outcomes were assessed. After completing the 12-week intervention, the groups did not significantly differ in health outcomes, health behavior outcomes, and technology utilization outcomes. Mean systolic BP decrease 6.02 mmHg (standard deviation [SD] = 22.75) in the comparison group and 1.1 mmHg (SD = 20.64; P = .439) in the experimental group. Diastolic BP decreased 0.1 mmHg (SD = 11.78) in the comparison group and 1.5 mmHg (SD = 12.7; P = .757) in the experimental group. Our findings suggest that behavioral interventions using technology have the potential to improve self-management outcomes among African American populations. Further research is warranted in a larger sample size and a longer time frame to identify the intervention’s effectiveness.

Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial

People with diabetes (PWD) have an increased risk of developing influenza-related complications, including pneumonia, abnormal glycemic events, and hospitalization. Annual influenza vaccination is recommended for PWD, but vaccination rates are suboptimal. The study aimed to increase influenza vaccination rate in people with self-reported diabetes. This study was a prospective, 1:1 randomized controlled trial of a 6-month Digital Diabetes Intervention in U.S. adults with diabetes. The intervention group received monthly messages through an online health platform. The control group received no intervention. Difference in self-reported vaccination rates was tested using multivariable logistic regression controlling for demographics and comorbidities. The study was registered at clinicaltrials.gov: NCT03870997. A total of 10,429 participants reported influenza vaccination status (5158 intervention, mean age (±SD) = 46.8 (11.1), 78.5% female; 5271 control, Mean age (±SD) = 46.7 (11.2), 79.4% female). After a 6-month intervention, 64.2% of the intervention arm reported influenza vaccination, vers us 61.1% in the control arm (diff = 3.1, RR = 1.05, 95% CI [1.02, 1.08], p = 0.0013, number needed to treat = 33 to obtain 1 additional vaccination). Completion of one or more intervention messages was associated with up to an 8% increase in vaccination rate (OR 1.27, 95% CI [1.17, 1.38], p < 0.0001). The intervention improved influenza vaccination rates in PWD, suggesting that leveraging new technology to deliver knowledge and information can improve influenza vaccination rates in high-risk populations to reduce public health burden of influenza. Rapid cycle innovation could maximize the effects of these digital interventions in the future with other populations and vaccines.

Effectiveness of smartphone application-based self-management interventions in patients with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials

AIMS

To synthesize evidences on smartphone application-based intervention and determine its effectiveness on glycaemic control, self-management behaviours, psychological well-being, quality of life and cardiometabolic risk factors.

DESIGN

A systematic review and meta-analysis of randomized controlled trials (RCTs).

DATA SOURCES

Major English and Chinese electronic databases were searched from January 2008 to January 2021, including PubMed, Web of Science, Embase, Cochrane Central Register of Controlled Trials, Google Scholar, China National Knowledge Infrastructure (CNKI), Wanfang and Sinomed.

REVIEW METHODS

RCTs were screened and selected if they used smartphone applications to support patients in the self-management of diabetes. Data extraction and methodological assessment were performed by two reviewers independently. Meta-analysis was performed to pool the intervention effect on outcomes of interest using RevMan 5.3.

RESULTS

Across 19 included trials involving 2585 participants, smartphone application-based interventions were associated with a clinically and statistically significant reduction of glycated haemoglobin (HbA1c). Beneficial effects were also observed in participants' behavioural performance, especially in medication adherence. Intervention effects on psychological status, quality of life and cardiometabolic risk factors were nonsignificant. Subgroup analysis showed interactive approach with medium frequency or flexible facilitator-patient interaction induced a larger effect on HbA1c reduction. Besides, patients with baseline HbA1c ≥9% benefited more than those with HbA1c <9% from the use of smartphone applications.

CONCLUSIONS

Smartphone application-based diabetes self-management intervention could optimize patients' glycaemic control and enhance participants' self-management performance. Further endeavour is required to examine the long-term effects and cost-effectiveness of smartphone application-based intervention before promoting the adoption and dissemination of such intervention.

IMPACT

This review supports the potential of smartphone application-based intervention as effective approach to optimize glycaemic control and promote self-management engagement among patients with type 2 diabetes. Suggestions for future research and practice are provided and discussed.

Assessing the Quality of Mobile Health-Related Apps: Interrater Reliability Study of Two Guides

Background

There is a huge number of health-related apps available, and the numbers are growing fast. However, many of them have been developed without any kind of quality control. In an attempt to contribute to the development of high-quality apps and enable existing apps to be assessed, several guides have been developed.

Objective

The main aim of this study was to study the interrater reliability of a new guide — the Mobile App Development and Assessment Guide (MAG) — and compare it with one of the most used guides in the field, the Mobile App Rating Scale (MARS). Moreover, we also focused on whether the interrater reliability of the measures is consistent across multiple types of apps and stakeholders.

Methods

In order to study the interrater reliability of the MAG and MARS, we evaluated the 4 most downloaded health apps for chronic health conditions in the medical category of IOS and Android devices (ie, App Store and Google Play). A group of 8 reviewers, representative of individuals that would be most knowledgeable and interested in the use and development of health-related apps and including different types of stakeholders such as clinical researchers, engineers, health care professionals, and end users as potential patients, independently evaluated the quality of the apps using the MAG and MARS. We calculated the Krippendorff alpha for every category in the 2 guides, for each type of reviewer and every app, separately and combined, to study the interrater reliability.

Results

Only a few categories of the MAG and MARS demonstrated a high interrater reliability. Although the MAG was found to be superior, there was considerable variation in the scores between the different types of reviewers. The categories with the highest interrater reliability in MAG were “Security” (α=0.78) and “Privacy” (α=0.73). In addition, 2 other categories, “Usability” and “Safety,” were very close to compliance (health care professionals: α=0.62 and 0.61, respectively). The total interrater reliability of the MAG (ie, for all categories) was 0.45, whereas the total interrater reliability of the MARS was 0.29.

Conclusions

This study shows that some categories of MAG have significant interrater reliability. Importantly, the data show that the MAG scores are better than the ones provided by the MARS, which is the most commonly used guide in the area. However, there is great variability in the responses, which seems to be associated with subjective interpretation by the reviewers.

What matters when exploring fidelity when using health IT to reduce disparities?

BACKGROUND

Implementation of evidence-based interventions often involves strategies to engage diverse populations while also attempting to maintain external validity. When using health IT tools to deliver patient-centered health messages, systems-level requirements are often at odds with 'on-the ground' tailoring approaches for patient-centered care or ensuring equity among linguistically diverse populations.

METHODS

We conducted a fidelity and acceptability-focused evaluation of the STAR MAMA Program, a 5-month bilingual (English and Spanish) intervention for reducing diabetes risk factors among 181 post-partum women with recent gestational diabetes. The study's purpose was to explore fidelity to pre-determined 'core' (e.g. systems integration) and 'modifiable' equity components (e.g. health coaching responsiveness, and variation by language) using an adapted implementation fidelity framework. Participant-level surveys, systems-level databases of message delivery, call completion, and coaching notes were included.

RESULTS

96.6% of participants are Latina and 80.9% were born outside the US. Among those receiving the STAR MAMA intervention; 55 received the calls in Spanish (61%) and 35 English (39%). 90% (n = 81) completed ≥ one week. Initially, systems errors were common, and increased triggers for health coach call-backs. Although Spanish speakers had more triggers over the intervention period, the difference was not statistically significant. Of the calls triggering a health coach follow-up, attempts were made for 85.4% (n = 152) of the English call triggers and for 80.0% (n = 279) of the Spanish call triggers (NS). Of attempted calls, health coaching calls were complete for 55.6% (n = 85) of English-language call triggers and for 56.6% of Spanish-language call triggers (NS). Some differences in acceptability were noted by language, with Spanish-speakers reporting higher satisfaction with prevention content (p = < 0.01) and English-speakers reporting health coaches were less considerate of their time (p = 0.03).

CONCLUSIONS

By exploring fidelity by language-specific factors, we identified important differences in some but not all equity indicators, with early systems errors quicky remedied and high overall engagement and acceptability. Practice implications include: (1) establishing criteria for languge-equity in interventions, (2) planning for systems level errors so as to reduce their impact between language groups and over time; and (3) examining the impact of engagement with language-concordant interventions on outcomes, including acceptability. Trial Registration National Clinical Trials registration number: CT02240420 Registered September 15, 2014. ClinicalTrials.gov.

Sound-level Monitoring Earphones With Smartphone Feedback as an Intervention to Promote Healthy Listening Behaviors in Young Adults

OBJECTIVES

More than a billion adolescents and youngsters are estimated to be at risk of acquiring recreational noise-induced hearing loss (RNIHL) due to the unsafe use of personal audio systems. RNIHL is preventable; therefore, the present study aimed to determine (i) the accuracy and reliability of dbTrack (Westone) sound-level monitoring earphones and (ii) the effect of sound-level monitoring earphones with smartphone feedback and hearing-health information as an intervention to promote healthy listening behaviors in young adults.

DESIGN

The study consisted of two phases: the first phase investigated the accuracy and reliability of dbTrack sound-level monitoring earphones. Accuracy was determined by comparing earphone measurements to sound level meter measurements. Intradevice reliability was determined by comparing earphone measurements during test-retest conditions. Nineteen participants were recruited through convenience sampling to determine within-subject reliability by comparing in-ear sound levels measured by the earphones during test-retest conditions. For the second phase of the study, a single-group pretest-posttest design was utilized. Forty participants, recruited through snowball sampling, utilized the sound-level monitoring earphones with the accompanying dbTrack smartphone application for 4 weeks. The application's smartphone feedback was disabled during the first 2 weeks (pretest condition) and enabled during the last 2 weeks (posttest condition). Average daily intensities, durations, and sound dosages measured during pre- and posttest conditions were compared.

RESULTS

Phase 1 dbTrack earphone measurements were within 1 dB when compared with sound level meter measurements. Earphones were also within 1 dB in repeated measures across earphones and across participants. Phase 2 posttest average daily intensity decreased by 8.7 dB (18.3 SD), duration decreased by 7.6 minutes (46.6 SD), and sound dose decreased by 4128.4% (24965.5% SD). Differences in intensity and sound dose were significantly lower with a small and medium effect size, respectively.

CONCLUSIONS

This study's preliminary data indicate that dbTrack (Westone) sound-level monitoring earphones with a calibrated in-ear microphone can reliably and accurately measure personal audio systems sound exposure. Preliminary results also suggest that feedback on sound exposure using the accurate sound-level monitoring earphones with the accompanying dbTrack application can potentially promote safe listening behavior in young adults and reduce the risk of acquiring an RNIHL.

Patient Preference and Satisfaction with the Use of Telemedicine for Glycemic Control in Patients with Type 2 Diabetes: A Review

BACKGROUND

Telemedicine has the potential to improve patient care and management for various chronic diseases such as type 2 diabetes. To ensure the success of any telemedicine program, there is a need to understand the patients' satisfaction and their preferences. This review aims to collate and provide evidence related to practices that may influence the performance of telemedicine for patients with type 2 diabetes.

METHODS

We searched three electronic databases for studies examining patients' satisfaction and preferences for using telemedicine in type 2 diabetes. An evaluation matrix was developed to collect the data from the included articles. A total of 20 articles were identified and data on the key outcomes identified were narratively synthesized.

RESULTS

Patients were generally satisfied with the use of telemedicine for management of type 2 diabetes. Users reported that telemedicine was beneficial as it provided constant monitoring, improved access to healthcare providers, and reduced waiting time. When adopting a telemedicine platform, most patients expressed preference for mobile health (mHealth) as the telemedicine modality, especially if it has been endorsed by their physician. To improve usability and sustainability, patients suggested that modules related to diabetes education be enhanced, together with sufficient technical and physician support when adopting telemedicine. Patients also expressed the importance of having a sufficiently flexible platform that could be adapted to their needs.

CONCLUSION

Personalized telemedicine strategies coupled with appropriate physician endorsement greatly influences a patient's decision to undertake telemedicine. Future work should focus on improving telemedicine infrastructure and increasing physician's involvement, especially during the implementation phase.

Identifying features of a mobile-based application for self-care of people living with T2DM

INTRODUCTION

Diabetes self-care requires support to empower patients to improve self-monitoring and maintain the necessary self-care behaviors. We aimed to identify features of a mobile-based application as a technology-based device for self-care of people living with T2DM.

METHOD

This study was conducted in two main phases in 2020. In the first phase, a literature review study was performed to identify the data elements and technical features of the T2DM self-care application. In the second phase, using the information obtained from the review of similar articles, a questionnaire was designed to validate identified requirements. The statistical population of the present study consisted of 22 endocrinologists and metabolic specialists.

RESULTS

Identification of 55 data elements and technical features for mobile-based self-care application for people with T2DM, and according to the statistical population, 15data elements for demographic requirements, 16 data elements for clinical requirements, and 17 features for the technical capability of this app were selected.

CONCLUSION

Blood sugar monitoring, exercise, nutrition, weight monitoring, and educational capabilities were the most highlighted technical features of the T2DM self-care application. Software designers can use these requirements to design a self-care app for people with type-2 diabetes that can help manage and improve patients' health status.

A spotlight on the surfacing of self-management of employees with diabetes seen by professional nurses in selected occupational health clinics in Cape Town

Background

Diabetes is considered one of the largest global health challenges of this century and one of the top 10 causes of death across the world. Studies indicate an increased economic burden in relation to diabetes, not only on government revenue but also within private industries. Exploring the perceptions of employees with diabetes mellitus as related to their self-management practices could assist in encouraging behaviours that are associated with positive management outcomes.

Aim

The purpose of this study was to explore and describe the perceptions of employees with diabetes mellitus, seen by professional nurses in selected occupational health clinics, about the self-management of their disease.

Methods

A qualitative, exploratory, descriptive contextual design was followed through 17 individual interviews with 17 employees working in various industries in Cape Town, using a semi-structured interview schedule. Open coding of the data followed, and four themes emerged. Measures to ensure trustworthiness were also adhered to in the study, and approval for the study was granted.

Results

The study findings gave insight into the manner in which employees perceived their behaviour changes in terms of their self-management practices. Various emotions were expressed by employees relating to the disease as well as the lifestyle adaptations required for self-management thereof. Employees noted that knowledge acquisition and greater understanding of the motivators for lifestyle changes could improve aspects of their day-to-day living as well as the disease outcomes.

Conclusion

Employees expressed an awareness of the changes and lifestyle adaptations needed but found aspects thereof to be an ongoing challenge. The areas of challenge varied amongst employees. A consciousness of the possible consequences of poor self-management practices and self-modification behavior to address these was observed.

Leveraging Technology to Improve Diabetes Care in Pregnancy

Pregnant women with diabetes are at higher risk of adverse outcomes. Prevention of such outcomes depends on strict glycemic control, which is difficult to achieve and maintain. A variety of technologies exist to aid in diabetes management for nonpregnant patients. However, adapting such tools to meet the demands of pregnancy presents multiple challenges. This article reviews the key attributes digital technologies must offer to best support diabetes management during pregnancy, as well as some digital tools developed specifically to meet this need. Despite the opportunities digital health tools present to improve the care of people with diabetes, in the absence of robust data and large research studies, the ability to apply such technologies to diabetes in pregnancy will remain imperfect.

Mobile applications for emerging adults transitioning to independent diabetes monitoring

Access to high-quality mhealth tools for diabetes management is critical. The purpose was to systematically review mobile apps for features relevant to helping emerging adults manage their diabetes as they transition to independent diabetes monitoring. Mobile apps were reviewed for relevance to emerging adults, aged 18-25, living with diabetes. The GooglePlay store was systematically searched to identify diabetes management mobile tools. Of the 29 apps, only one app had any features relevant to emerging adults. In total, 20 apps had a feature to share a copy of diet or blood sugar logs with a family member or provider. Only 9 apps had any interactivity other than tracking. While most apps had graphics, only 5 were deemed high quality. Just one app met all three included Mobile Application Rating Scale (MARS) criteria. This review serves as a starting point to guide educators and patients, especially to aid continuity of care when in-person support is not feasible. Ongoing review of new apps with improved functionality and effectiveness studies of the apps' impact on emerging adults' diabetes management is imperative.

Tecnologias digitais na prevenção de pé diabético: uma revisão sobre aplicativos móveis

Objetivo: Analisar aplicativos móveis desenvolvidos para prevenção do pé diabético. Método: Revisão integrativa, com buscas nas bases de dados LILACS, BDENF, Scopus, Web of Science e PubMed, no período de 2000 a 2019. Após critérios de elegibilidade, a amostra constituiu-se de nove artigos. Resultados: Os aplicativos móveis para prevenção do pé diabético, se baseiam no monitoramento online dos pés por meio de imagens, avaliação de imagens térmicas dos pés, captura de imagens da planta do pé, recomendações de autocuidado com os pés e classificação do risco de pé diabético. A análise dos artigos evidencia que os aplicativos foram considerados como boa estratégia de prevenção. Conclusão: A realização deste estudo possibilitou a identificação de nove aplicativos móveis desenvolvidos para prevenção do pé diabético, com predomínio no uso da termometria como principal medida para prevenção e detecção precoce das úlceras do pé diabético, com utilização de imagens térmicas e sensores associados ao aplicativo móvel.

Digital technologies in the prevention of diabetic foot: a review on mobile applications

Analyze mobile applications developed for prevention of diabetic foot. Method: Integrative review, with searches in LILACS, BDENF, Scopus, Web of Science and PubMed databases, from 2000 to 2019. After eligibility criteria, the sample consisted of nine articles. Results: The mobile applications for prevention of diabetic foot are based on online foot monitoring through images, evaluation of thermal images of the feet, capture of images of the sole of the foot, recommendations for self-care with the feet and classification of the risk of diabetic foot. The analysis of the articles shows that the applications were considered a good prevention strategy. Conclusion: This study enabled the identification of nine mobile applications developed for prevention of diabetic foot, with predominance in the use of thermometry as the main measure for prevention and early detection of diabetic foot ulcers, with the use of thermal images and sensors associated with the mobile application.

Facilitators and barriers of using digital technology for the management of diabetic foot ulcers: A qualitative systematic review

The use of digital technology has been shown to be effective in managing chronic conditions. Telemedicine and mobile application are two common applications of digital technology in managing diabetic foot ulcers (DFU). The facilitators and barriers of using it for DFU management are yet to be explored. This is a qualitative systematic review. Five bibliography databases and grey literature sources were searched (2000‐2019). Two reviewers independently screened the citations, extracted the data, assessed the quality of the included studies, and performed thematic synthesis. Three studies on patients and five studies on healthcare practitioners (HCPs) were included. Two studies focused on the use of mobile applications and six on telemedicine. In studies on patients, four analytical themes were generated: the relationships with HCPs; the attitude towards the usage of digital technology; the role of wound image taking; and impact of digital technology on DFU care, encompassing 15 facilitators (eg, enabling community support, improving wound care knowledge) and 12 barriers (eg, lack of technological savviness, difficulty reading on smartphones). Three analytical themes were generated from studies on HCPs: the impact of digital technology on HCPs; the role of digital technology in DFU care; and organisation of DFU care delivery, encompassing 17 facilitators (eg, adequate wound care training, digital technology enables holistic care) and 16 barriers (eg, lack of multidisciplinary approach in caring for DFU, lack of direct contact in care provision). Patients and HCPs reported various barriers and facilitators relating to different aspects of using digital technology in DFU management. Our findings can help inform future research as well as the adoption of digital technology in DFU management.

Social Media in the Diabetes Community: a Novel Way to Assess Psychosocial Needs in People with Diabetes and Their Caregivers

PURPOSE OF REVIEW

Diabetes is a chronic disease that, regardless of type, requires intensive, ongoing self-management. As a result, people with diabetes (PWD) often have complex environmental, social, behavioral, and informational needs, many of which are unmet in healthcare settings and systems. To help meet these needs, many PWD interact with diabetes online communities (DOCs), including platforms such as Facebook, Twitter, and blogs, to share real-life support, problems, and concerns with other PWD, offering a rich source of data on patient-reported outcomes. This article reviews recent psychosocial needs and outcomes identified by studies of DOCs and/or their users.

RECENT FINDINGS

Participation in DOCs appears driven by a need for psychosocial support, unmet by providers and the healthcare system, as well as a sense of duty to provide it to others. The most common activities observed in DOCs are giving and receiving various types of support: psychosocial, technical, informational, and self-management. General and specific challenges (e.g., continuous glucose monitoring) as well as frustrations and worries associated with those challenges are commonly expressed, leading to reciprocal sharing, support, and encouragement, in a judgment-free manner, from other PWD. This leads users to feel more understood, empowered, validated, less alone, and more supported. Negative findings were reported very rarely and focused more on how other participants used social media rather than on the exchange of misplaced or dangerous information or advice. Diabetes online communities have grown from unmet needs for problem-solving and psychosocial support for living with a complex condition and from the availability of a new communications medium (i.e., social media). This has enabled communities of peers to both seek and receive support for living with diabetes, providing an important supplement to what is provided in healthcare settings and offering valuable information about what is most important to PWD and their families, with the potential to improve psychosocial care.

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

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

Utilizing Technology-Enabled Intervention to Improve Blood Glucose Self-Management Outcome in Type 2 Diabetic Patients Initiated on Insulin Therapy: A Retrospective Real-World Study

BACKGROUND

The aim of this study was to assess the benefits of a mobile-enabled app through Lilly Connected Care Program (LCCP) in achieving blood glucose control and adhering to self-monitoring of blood glucose in patients with type 2 diabetes mellitus (T2DM).

METHODS

This retrospective study included T2DM patients who were initiated on insulin therapy (mostly premixed insulin) after failure to respond to oral antidiabetic drugs. Patients were provided with glucometers enabled with synchronous data transmission to healthcare providers and family members. The primary objective was to assess the benefits of LCCP based on changes in fasting blood glucose (FBG) and postprandial glucose (PPG) levels from baseline to 12 weeks. Paired t-test was used to assess the change in blood glucose (BG) from baseline to week 12.

RESULTS

In total, 14,085 T2DM patients were recruited. Compared with baseline, significant reductions in FBG and PPG were evident at week 12 (FBG: -0.39 mmol/L; PPG: -0.79 mmol/L; both P < 0.001). Furthermore, at week 12, the proportion of patients attaining a target glucose level of FBG <7.0 mmol/L and PPG <10.0 mmol/L was 25.37% and 59.68%, respectively, with a statistically significant increase compared with that at baseline (6.74% and 45.59%, respectively, both P < 0.001). The frequent monitoring of patients could gain a higher target achievement of FBG (28.1% vs 24.2%) and PPG (64.4% vs 55.1%) than the occasional monitoring patients. Additionally, the incidence of hypoglycemia gradually decreased and was significantly lower than the baseline level.

CONCLUSIONS

In T2DM patients with poor glycemic control, the application of mobile enabled intervention (LCCP) along with insulin significantly reduced the hypoglycemia while improving glycemic control during period of naïve initiating insulin therapy. Additionally, the high frequency of BG self-monitoring was associated with better glycemic control.

Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group

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

Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users

BACKGROUND

Mobile phone applications (apps) have been shown to successfully facilitate the self-management of chronic disease. This study aims to evaluate firstly the experiences, barriers and facilitators to app usage among people with Type 2 Diabetes Mellitus (T2DM) and secondly determine recommendations to improve usage of diabetes apps.

METHODS

Participants were aged ≥ 18 years with a diagnosis of T2DM for ≥ 6 months. Semi-structured phone-interviews were conducted with 16 app and 14 non-app users. Interviews were based on the Technology Acceptance Model, Health Information Technology Acceptance Model (HITAM) and the Mobile Application Rating Scale. Data were analysed using deductive content analysis.

RESULTS

Most app-users found apps improved their T2DM self-management and health. The recommendation of apps by health professionals, as well as positive interactions with them, improved satisfaction; however, only a minority of patients had practitioners involved in their app use. All non-app users had never had the concept discussed with them by a health professional. Facilitators to app use included the visual representation of trends, intuitive navigation and convenience (for example, discretion and portability). Barriers to app use were participant's lack of knowledge and awareness of apps as healthcare tools, perceptions of disease severity, technological and health literacy or practical limitations such as rural connectivity. Factors contributing to app use were classified into a framework based on the Health Belief Model and HITAM. Recommendations for future app design centred on educational features, which were currently lacking (e.g. diabetes complications, including organ damage and hypoglycaemic episodes), monitoring and tracking features (e.g. blood glucose level monitoring with trends and dynamic tips and comorbidities) and nutritional features (e.g. carbohydrate counters). Medication reminders were not used by participants. Lastly, participants felt that receiving weekly text-messaging relating to their self-management would be appropriate.

CONCLUSIONS

The incorporation of user-centred features, which engage T2DM consumers in self-management tasks, can improve health outcomes. The findings may guide app developers and entrepreneurs in improving app design and usability. Given self-management is a significant factor in glycaemic control, these findings are significant for GPs, nurse practitioners and allied health professionals who may integrate apps into a holistic management plan which considers strategies outside the clinical environment.