ABSTRACT
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.
ABSTRACT
BACKGROUND: Individually designed interventions delivered through mobile health applications (mHealth apps) may be able to effectively support diabetes self-care. Our aim was to review and synthesize available evidence in the literature regarding perception of adults with type 1 diabetes on the features of mHealth apps that help promote diabetes self-care, as well as facilitators and barriers to their use. An additional aim was to review literature on changes in patient reported outcome measures (PROMs) in the same population while using mHealth apps for diabetes self-care. METHODS: Quantitative and qualitative studies focusing on adults aged 18 years and over with type 1 diabetes in any context were included. A systematic literature search using selected databases was conducted. Data was synthesised using narrative synthesis. RESULTS: We found that features of mHealth apps designed to help promote and maintain diabetes self-care could be categorized into self-care data monitoring, app display, feedback & reminders, data entry, data sharing, and additional features. Factors affecting the use of mHealth apps reported in the literature were personal factors, app design or usability factors, privacy and safety factors, or socioeconomic factors. Quality of life and diabetes distress were the most commonly reported PROMs in the included studies. CONCLUSION: We are unable to reach a conclusive result due to the heterogeneity of the included studies as well as the limited number of studies reporting on these areas among adults with type 1 diabetes. We therefore recommend further large-scale studies looking into these areas that can ultimately improve mHealth app use in type 1 diabetes self-care. SYSTEMATIC REVIEW REGISTRATION: Prospero CRD42020157620 .
