8 research outputs found
Challenging diabetes mellitus-related stigma with targeted education
Get PDFDiabetes mellitus is a highly prevalent chronic metabolic disorder that requires rigorous self-management to prevent complications and maintain health. Managing diabetes can also be psychologically challenging for those living with the condition, significantly affecting their mental health, particularly when diabetes-related stigma manifests as discrimination, social rejection and internalised shame. This article examines how diabetes-related stigma often stems from misconceptions about the condition, but nonetheless can adversely affect the self-care, physical health and quality of life of people living with the condition. The author explains how mitigating this stigma through targeted education, empathic communication and advocacy is essential and explores the pivotal role of nurses in reducing diabetes-related stigma
Robotics use in the care and management of people living with Diabetes Mellitus in the community – a scoping review protocol
Get PDFThe aim of the review is to identify and map the range of available evidence on the types of robotic devices and their impact on people living with Diabetes Mellitus in the community. The outcome of this scoping review will inform the development and testing of a future robotic intervention
Experiences and Health Outcomes of Emerging Adults with Type 1 Diabetes: A Mixed Methods Study
Get PDFBackground Emerging adults with type 1 diabetes are at risk of poorer diabetes-related health outcomes than other age groups. Several factors affecting the health and experiences of the emerging adults are culture and healthcare specific.Objectives The aim of this study was to explore the experience of emerging adults living with type 1 diabetes in Lebanon, describe their diabetes self-care and diabetes-related health outcomes (HbA1c and diabetes distress), and identify the predictors of these outcomes.Methods A convergent mixed methods design was used with 90 participants aged 18-29 years. Sociodemographic, clinical data, and measures of diabetes distress, social support, and self-care were collected. Fifteen emerging adults participated in individual semi-structured interviews. Multiple linear regression was used to determine predictors of diabetes outcomes. Thematic analysis was used to analyze qualitative data. Data integration was used to present the mixed methods findings.Results The study sample had a mean HbA1c of 7.7% (SD = 1.36) and 81.1 % reported moderate to severe diabetes distress levels. The participants had good levels of diabetes self-care and high levels of social support. HbA1c was predicted by insulin treatment type, age at diagnosis, and diabetes self-care; while diabetes distress was predicted by diabetes knowledge, blood glucose monitoring approach, and diabetes self-care. “Living with type 1 diabetes during emerging adulthood: the complex balance of a chemical reaction” was the overarching theme of the qualitative data, with three underlying themes: “Breaking of bonds: changes and taking ownership of their diabetes”, “The reactants: factors affecting the diabetes experience”, and “Aiming for equilibrium”. The integrated mixed methods results revealed one divergence between the qualitative and quantitative findings related to the complexity of the effect of received social support.Discussion The suboptimal health of the emerging adults despite good self-care highlights the importance of addressing cultural and healthcare specific factors such as diabetes knowledge and public awareness, social support, and availability of technology to improve diabetes health. Findings of this study can guide future research, practice, and policy development
Exploring the role of the clinical decision support system in delivering multimodal interventions for delirium care in ICU adults: a scoping review protocol
Get PDFDelirium is a frequently reported significant complication in acute and critically ill patients. Multimodal interventions can potentially decrease delirium incidence and severity by reducing predisposing factors. Previous research has documented the efficacy of delirium assessment and management interventions. However, the heterogeneity and complexity of these multimodal interventions make them challenging to disseminate and integrate into clinical practice. To support nurses in decision-making for delirium care, a clinical decision support system (CDSS) can increase situational awareness by reducing the cognitive load and facilitating relevant clinical information gathering. It can have a positive impact on nursing efficacy as well as on patient outcomes. This scoping review aims to map the existing literature on the use of CDSS to deliver multimodal interventions in delirium care for ICU adults, explore how it has been applied in this context, and identify gaps in the existing literature
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Exploring the role of the clinical decision support system in delivering multimodal interventions for delirium care in ICU adults: a scoping review protocol.
No full textDelirium is a frequently reported significant complication in acute and critically ill patients. Multimodal interventions can potentially decrease delirium incidence and severity by reducing predisposing factors. Previous research has documented the efficacy of delirium assessment and management interventions. However, the heterogeneity and complexity of these multimodal interventions make them challenging to disseminate and integrate into clinical practice. To support nurses in decision-making for delirium care, a clinical decision support system (CDSS) can increase situational awareness by reducing the cognitive load and facilitating relevant clinical information gathering. It can have a positive impact on nursing efficacy as well as on patient outcomes. This scoping review aims to map the existing literature on the use of CDSS to deliver multimodal interventions in delirium care for ICU adults, explore how it has been applied in this context, and identify gaps in the existing literature
Recommended from our members
Exploring the role of the clinical decision support system in delivering multimodal interventions in delirium care for ICU adults: a scoping review protocol.
No full textDelirium is a frequently reported significant complication in acute and critically ill patients. Multimodal interventions can potentially decrease delirium incidence and severity by reducing predisposing factors. Previous research has documented the efficacy of delirium assessment and management interventions. However, the heterogeneity and complexity of these multimodal interventions make them challenging to disseminate and integrate into clinical practice. To support nurses in decision-making for delirium care, a clinical decision support system (CDSS) can increase situational awareness by reducing the cognitive load and facilitating relevant clinical information gathering. It can have a positive impact on nursing efficacy as well as on patient outcomes. This scoping review aims to map the existing literature on the use of CDSS to deliver multimodal interventions in delirium care for ICU adults, explore how it has been applied in this context, and identify gaps in the existing literature
Robotics use in the care and management of people living with diabetes mellitus: A scoping review
No full textStatement of the Problem: Diabetes prevalence is rising and projected to affect 783 million globally by 2045. Effective diabetes self management relies on diabetes knowledge, lifestyle modifications, and disease management, yet global healthcare workforce shortages pose challenges to providing adequate support. Socially assistive technologies, such as robots or artificial intelligence, are proposed as potential solutions to help meet these rising demands. Aim and Methods: This review aimed to map the current literature on Socially Assistive Robotic interventions for diabetes care, identifying intervention types, barriers and enablers to use, and their impact on health-related outcomes. A scoping review using Arskey and Omalley’s framework was conducted, screening studies published between January 2013 and December 2023 across key databases (CINAHL, Medline, PubMed Central, Web of Science, Ovid Emcare, OvidNursing, Proquest SciTech Collection, IEEE Xplore, ACM Digital Library, Proquest Social Science Premium Collection, and grey literature databases), with data extracted using COVIDENCE®. Findings: Nineteen studies met inclusion criteria, mostly focused on children with type 1 diabetes. Studies were largely conducted in Europe, cross sectional in design, and with small sample sizes. Socially assistive robots demonstrated high acceptability, especially among younger children, positively effecting knowledge acquisition, self-management, and self-efficacy. Personalized interactions, gamified features, and emotional responsiveness were key enablers that enhanced engagement. However, engagement waned over time, particularly when participants practical and emotional expectations were unmet. Barriers included usability challenges, privacy concerns, and lack of customization. Economic and sustainability evaluations were not ablyabsent. Conclusion & Significance: Although evidence for robotics in diabetes care is growing, current research is methodologically limited and focuses primarily on younger populations. Future studies should include adults, employ multi-faceted robotics designs, and be adequately powered to assess acceptability and efficacy across diverse patient groups facilitating broader application in diabetes care
