Outcomes of a feasibility trial using an innovative mobile health programme to assist in insulin dose adjustment

Mobile Application for Adhering to Diabetic Foot Self-care: Randomized Controlled Clinical Trial

This study aimed to analyze the effectiveness of a mobile application for adherence to foot self-care in people with type 2 diabetes at risk for diabetic foot ulcer. A double-blind randomized controlled clinical trial was conducted with people with type 2 diabetes in a secondary healthcare unit. A total of 42 patients were recruited, matched, and allocated into two groups: one (intervention group) undergoing standard nursing consultations and application use and the other (control group) receiving only standard nursing consultations. The outcome variable was the adherence to foot self-care, measured by completing questionnaires on diabetes self-care activities and adherence to foot self-care. Measures of central tendency and dispersion were calculated, in addition to bivariate associations, considering a significance level of P ≤ .05. The intragroup and intergroup analyses regarding diabetes self-care did not show statistical significance; however, the intervention group showed a considerable increase in the frequency of daily assessments ( P = .048) and adherence to foot self-care ( P = .046). The use of the app, combined with the nursing consultation, increased adherence to foot self-care of people with type 2 diabetes. Brazilian Registry of Clinical Trials: U1111-1202-6318.

Assessing the Content Validity, Acceptability, and Feasibility of the Hypo-METRICS App: Survey and Interview Study

BACKGROUND

The Hypoglycaemia - MEasurement, ThResholds and ImpaCtS (Hypo-METRICS) smartphone app was developed to investigate the impact of hypoglycemia on daily functioning in adults with type 1 diabetes mellitus or insulin-treated type 2 diabetes mellitus. The app uses ecological momentary assessments, thereby minimizing recall bias and maximizing ecological validity. It was used in the Hypo-METRICS study, a European multicenter observational study wherein participants wore a blinded continuous glucose monitoring device and completed the app assessments 3 times daily for 70 days.

OBJECTIVE

The 3 aims of the study were to explore the content validity of the app, the acceptability and feasibility of using the app for the duration of the Hypo-METRICS study, and suggestions for future versions of the app.

METHODS

Participants who had completed the 70-day Hypo-METRICS study in the United Kingdom were invited to participate in a brief web-based survey and an interview (approximately 1h) to explore their experiences with the app during the Hypo-METRICS study. Thematic analysis of the qualitative data was conducted using both deductive and inductive methods.

RESULTS

A total of 18 adults with diabetes (type 1 diabetes: n=10, 56%; 5/10, 50% female; mean age 47, SD 16 years; type 2 diabetes: n=8, 44%; 2/8, 25% female; mean age 61, SD 9 years) filled out the survey and were interviewed. In exploring content validity, participants overall described the Hypo-METRICS app as relevant, understandable, and comprehensive. In total, 3 themes were derived: hypoglycemia symptoms and experiences are idiosyncratic; it was easy to select ratings on the app, but day-to-day changes were perceived as minimal; and instructions could be improved. Participants offered suggestions for changes or additional questions and functions that could increase engagement and improve content (such as providing more examples with the questions). In exploring acceptability and feasibility, 5 themes were derived: helping science and people with diabetes; easy to fit in, but more flexibility wanted; hypoglycemia delaying responses and increasing completion time; design, functionality, and customizability of the app; and limited change in awareness of symptoms and impact. Participants described using the app as a positive experience overall and as having a possible, although limited, intervention effect in terms of both hypoglycemia awareness and personal impact.

CONCLUSIONS

The Hypo-METRICS app shows promise as a new research tool to assess the impact of hypoglycemia on an individual's daily functioning. Despite suggested improvements, participants' responses indicated that the app has satisfactory content validity, overall fits in with everyday life, and is suitable for a 10-week research study. Although developed for research purposes, real-time assessments may have clinical value for monitoring and reviewing hypoglycemia symptom awareness and personal impact.

Impact of My Dose Coach App Frequency of Use on Clinical Outcomes in Type 2 Diabetes

INTRODUCTION

My Dose Coach (MDC) is a US Food and Drug Administration-approved digital smartphone application designed to help users with type 2 diabetes (T2D) titrate their basal insulin (BI) according to a clinician-prescribed individualized titration plan. The aim of this analysis was to assess the impact of the frequency of MDC use on clinical outcomes.

METHODS

This retrospective observational analysis included people with T2D who were registered for MDC (August 1st, 2018-April 30th, 2020) and received BI. Users with an activated care plan and ≥2 fasting blood glucose (FBG) observations spanning ≥2 weeks were defined as active. Outcomes included percentage achieving their individual FBG target, time to FBG target, change in FBG, change in insulin dose and hypoglycemia. Users were stratified into high (>3 days per week), moderate (>1- ≤3 days per week), and low (≤1 day per week) MDC usage groups.

RESULTS

The analysis included 2517 active MDC users. Approximately 49% of users had high MDC usage. Overall, 44% of users across all usage frequencies achieved their individual FBG target. High MDC use was associated with significantly better FBG target achievement and less time to FBG target versus moderate- and low-usage groups (p≤0.01 for all). Insulin dose change was significantly greater in the high- versus moderate-usage group (p=0.01). There was no significant difference in hypoglycemia incidence among MDC usage groups (12%-16% of users in any usage group).

CONCLUSIONS

More frequent MDC usage was associated with better FBG outcomes without increased hypoglycemia risk.

New digital health technologies for insulin initiation and optimization for people with type 2 diabetes

OBJECTIVE

The health and economic burden of type 2 diabetes (T2D) is of global significance. Many people with T2D eventually need insulin to help reduce their risk of serious associated complications. However, barriers in initiating and/or optimizing insulin expose people with diabetes to sustained hyperglycemia. In this review, we investigate how new and future technologies may provide opportunities to help overcome barriers to insulin initiation and/or optimization.

METHODS

A focused literature search of PubMed and key scientific congresses was conducted. Software tools and devices developed to support insulin initiation and/or optimization were identified by manually filtering over 300 publications and conference abstracts.

RESULTS

Most software tools have been developed for a smartphone platform. At present, published data suggest that use of these technologies is associated with equivalent or improved glycemic outcomes compared with standard care with additional benefits such as reduced healthcare provider (HCP) time burden and improved diabetes knowledge. However, there remains a paucity of good quality evidence. Most new devices to support insulin therapy help track the dose and timing of insulin use.

CONCLUSIONS

New digital health tools may help to reduce barriers to optimal insulin therapy. An integrated solution that connects glucose monitoring, dose recording, titration advice, and records comorbidities and lifestyle factors has the potential to reduce the complexity and burden of treatment and may improve titration and treatment adherence, resulting in better outcomes for people with diabetes.

Chinese Version of the mHealth App Usability Questionnaire: Cross-Cultural Adaptation and Validation

Background

Mobile health (mHealth) apps have shown the advantages of improving medication compliance, saving time required for diagnosis and treatment, reducing medical expenses, etc. The World Health Organization (WHO) has recommended that mHealth apps should be evaluated prior to their implementation to ensure their accuracy in data analysis.

Objective

This study aimed to translate the patient version of the interactive mHealth app usability questionnaire (MAUQ) into Chinese, and to conduct cross-cultural adaptation and reliability and validity tests.

Methods

The Brislin’s translation model was used in this study. The cross-cultural adaptation was performed according to experts’ comments and the results of prediction test. The convenience sampling method was utilized to investigate 346 patients who used the “Good Doctor” (“Good Doctor” is the most popular mHealth app in China), and the reliability and validity of the questionnaire were evaluated as well.

Results

After translation and cross-cultural adaptation, there were a total of 21 items and 3 dimensions: usability and satisfaction (8 items), system information arrangement (6 items), and efficiency (7 items). The content validity index was determined to be 0.952, indicating that the 21 items used to evaluate the usability of the Chinese version of the MAUQ were well correlated. The Cronbach’s α coefficient of the total questionnaire was 0.912, which revealed that the questionnaire had a high internal consistency. The values of test-retest reliability and split-half reliability of the Chinese version of the MAUQ were 0.869 and 0.701, respectively, representing that the questionnaire had a good stability.

Conclusion

The translated questionnaire has good reliability and validity in the context of Chinese culture, and it could be used as a usability testing tool for the patient version of interactive mHealth apps.