Using mHealth applications for self-care - An integrative review on perceptions among adults with type 1 diabetes

Insights into the Technological Evolution and Research Trends of Mobile Health: Bibliometric Analysis

Background/Objectives: Smartphones, with their widespread popularity and diverse apps, have become essential in our daily lives, and ongoing advancements in information technology have unlocked their significant potential in healthcare. Our goal is to identify the future research directions of mobile health (mHealth) by examining its research trends and emerging hotspots. Methods: This study collected mHealth-related literature published between 2005 and 2024 from the Web of Science database. We conducted a descriptive statistic of the annual publication count and categorized the data by authors and institutions. In addition, we developed visualization maps to display the frequency of keyword co-occurrences. Furthermore, overlay visualizations were created to showcase the average publication year of specific keywords, helping to track the changing trends in mHealth research over time. Results: Between 2005 and 2024, a total of 6093 research papers related to mHealth were published. The data have revealed a rapid increase in the number of publications since 2011. However, it was found that research on mHealth has reached a saturation point since 2021. The University of California was the dominant force in mHealth research, with 248 articles. The University of California, the University of London, Harvard University, and Duke University are actively collaborating, which shows a geographical pattern of collaboration. From the analysis of keyword co-occurrence and timeline, the research focus has gradually shifted from solely mHealth technologies to exploring how new technologies, such as artificial intelligence (AI) in mobile apps, can actively intervene in patient conditions, including breast cancer, diabetes, and other chronic diseases. Privacy protection policies and transparency mechanisms have emerged as an active research focus in current mHealth development. Notably, cutting-edge technologies such as the Internet of Things (IoT), blockchain, and virtual reality (VR) are being increasingly integrated into mHealth systems. These technological convergences are likely to constitute key research priorities in the field, particularly in addressing security vulnerabilities while enhancing service scalability. Conclusions: Although the volume of core research in mobile health (mHealth) is gradually declining, its practical applications continue to expand across diverse domains, increasingly integrating with multiple emerging technologies. It is believed that mobile health still holds enormous potential.

Mobile apps for diabetes self-management: An updated review of app features and effectiveness

Self-management of diabetes is extremely challenging and non-adherence is common. Health consequences are significant for those unable to adhere to the complex treatment regimen, which includes regular oral medication and/or insulin use, frequent blood sugar checks, strict dietary management, and regular physical activity. Mobile applications (apps) present a tremendous opportunity to help patients improve adherence to these behaviors. The availability of commercial diabetes self-management apps is increasing exponentially, making it difficult for patients and providers to stay informed about app options and benefits. Previous reviews have described commercial diabetes apps and their features and usability for patients with diabetes. A smaller number have reviewed the effectiveness of these apps in improving blood glucose as well as other aspects of diabetes management. The aim of this article is to update our 2016 review, summarize the results of new reviews, review outcomes of diabetes apps described in the literature, and offer recommendations for app features, effectiveness research, and marketing in apps for diabetes self-management. Although higher-quality research is needed, current reviews suggest that many diabetes apps are effective in lowering HbA1c. Recommendations for future research include reporting critical details such as patient demographics and intervention elements and designing studies to identify the most effective components of diabetes management apps. Furthermore, clearly labeling apps that have data supporting clinical efficacy in app stores would allow both providers and patients to easily identify apps that might be most beneficial. Future research should explore the use of apps for the prevention of diabetes in individuals diagnosed with prediabetes.

The effectiveness of Parentbot - a digital healthcare assistant - on parenting outcomes: A randomized controlled trial

BACKGROUND

Transitioning to parenthood is a stressful period that makes parents more prone to depression and anxiety. Mobile application-based interventions and chatbots could improve parents' well-being across the perinatal period. Hence, the Parentbot - a Digital healthcare Assistant was developed to support parents across the perinatal period.

OBJECTIVE

To evaluate the effectiveness of the Parentbot - a Digital healthcare Assistant in improving parenting self-efficacy (primary outcome), stress, depression, anxiety, social support, parent-child bonding, and parenting satisfaction (secondary outcomes) among parents across the perinatal period.

METHODS

A two-group pre-test and repeated post-test randomized controlled trial was used where 118 heterosexual couples (118 mothers and 118 fathers) were recruited from a public tertiary hospital in Singapore. Couples were randomly assigned to the intervention group receiving the Parentbot - a Digital healthcare Assistant and standardized care (59 couples) and a control group receiving the standard care only (59 couples). Data collection occurred at baseline (>24 weeks of gestation - age of viability in Singapore) and at one month (post-test 1) and three months (post-test 2) postpartum. Linear mixed models were used to compare parental outcomes between groups and a linear mixed model with repeated measures was used to analyze within-group differences. General linear models were used to conduct subgroup analyses of mothers and fathers between groups.

RESULTS

After adjusting for baseline values and sociodemographic covariates, parents in the intervention group had higher parenting self-efficacy compared to the control group at one-month postpartum (mean difference = 1.22, 95 % CI: 0.06 to 2.39, p = 0.04; Cohen standardized effect size = 0.14), and mothers had lower state-anxiety compared to the control group at three-months postpartum (mean difference = -2.21, 95 % CI: -4.18 to -0.24, p = 0.03; Cohen standardized effect size = -0.22). Non-statistically significant differences between groups were reported for the other parental outcomes.

CONCLUSIONS

This study showed that the Parentbot - a Digital healthcare Assistant is feasible and promising in supporting parents especially enhancing their self-efficacy across the perinatal period. The lack of statistical significance in most outcomes showed that further evaluation of the intervention is required among varied populations of parents across different cultural and geographical contexts. The intervention could be enhanced to support more diverse groups of parents including single parents, parents with high-risk pregnancies and infants with medical complications, and parents with limited English language skills. Future trials could explore the cost-effectiveness of such interventions and investigate infant outcomes for a more comprehensive assessment of mobile application-based perinatal interventions.

TRIAL REGISTRATION

Clinicaltrails.gov (NCT05463926).

Psychosocial Self-efficacy and its Association with Selected Potential Factors Among Adults with Type 1 Diabetes: A Cross-Sectional Survey Study

INTRODUCTION

The management of type 1 diabetes, a non-preventable chronic disease, leads to a high physical and psychological burden on the individual. Digital health technology can improve a person's psychosocial self-efficacy and thereby contribute to improved diabetes self-care. The aim of this study was to explore associations between psychosocial self-efficacy and demographic-, disease specific-, well-being as well as digital health technology (DHT) related factors among adults with type 1 diabetes.

METHODS

A primarily web-based cross sectional survey was conducted among adults with type 1 diabetes in Sweden (n = 301). Psychosocial self-efficacy was assessed using the Swedish version of the Diabetes Empowerment Scale, Swe-DES-23. The survey also contained questions related to demographic-, disease specific-, well-being as well as digital health technology related variables.

RESULTS

Higher well-being scores and lower HbA1c levels were associated with higher psychosocial self-efficacy in multiple linear regression analysis. In multivariate analysis, gender, body mass index, well-being scores, and HbA1c levels showed association with psychosocial self-efficacy. None of the DHT factors were found associated with psychosocial self-efficacy.

CONCLUSIONS

In this study, higher well-being score and lower self-reported HbA1c levels were associated with higher psychosocial self-efficacy in both univariate- and multivariate analysis and accounted for 30% of the variation in psychosocial self-efficacy in the regression model. Thus, measures to improve psychosocial self-efficacy in adults with type 1 diabetes may help maintain their psychological well-being and blood glucose control.

Can online and app-based interventions be used by people with diabetes to reduce diabetes distress? A protocol for a scoping review

INTRODUCTION

Diabetes distress has been defined as "the negative emotional or affective experience resulting from the challenge of living with the demands of diabetes". Diabetes distress affects 20%-25% of individuals living with diabetes and can have negative effects on both diabetes regulation and quality of life. For people living with diabetes distress, innovative tools/interventions such as online or app-based interventions may potentially alleviate diabetes distress in a cost-effective way. The specific research questions of this scoping review are: (1) what are the effects of online or app-based interventions on diabetes distress for adults with type 1 or type 2 diabetes, and (2) what are the characteristics of these interventions (eg, type of intervention, duration, frequency, mode of delivery, underlying theories and working mechanisms)?

METHODS AND ANALYSIS

A scoping review will be conducted, using the methodological framework of Arksey and O'Malley along with Levac et al. Eligible studies are: studies of adults ≥18 years old with type 1 or 2 diabetes using an online or app-based intervention and assessing diabetes distress as the primary or secondary outcome. Five databases (Medline, EMBASE, CINAHL, PsycINFO and Scopus) will be searched and is limited to articles written in English, Danish, Norwegian, Swedish or Dutch. Two reviewers will independently screen potentially eligible studies in Covidence, select studies, and together chart data, collate, summarise, and report the results. We will adhere to the Preferred reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR).

ETHICS AND DISSEMINATION

The scoping review has been exempt from full ethical review by the Regional Committees on Health Research Ethics for Southern Denmark (case number: S-20232000-88). The results of the review will be published in a peer-reviewed journal and presented at relevant conferences and workshops with relevant stakeholders.