Background: Despite the fact that there is an increasingly effective armoury of medications to treat diabetes, many people continue to have substantially elevated blood glucose levels. The purpose of this study was to explore what the barriers to diabetes management are in a cohort of people with diabetes and poor glycaemic control.
Methods: Qualitative semistructured interviews were carried out with 10 people with diabetes who had known diabetes and a recent HbA1c of >11.3% (100 mmol/mol) to explore their experiences of barriers to diabetes self-management and glycaemic control.
Results: Barriers to diabetes management were based around two key themes: biopsychosocial factors and knowledge about diabetes. Specifically, financial concerns, social stigma, medication side effects, and cognitive impairment due to hyperglycaemia were commonly reported as barriers to medication use. Other barriers included a lack of knowledge about their own condition, poor relationships with healthcare professionals, and a lack of relevant resources to support diet and weight loss.
Conclusion: People with diabetes with poor glycaemic control experience many of the same barriers as those reported elsewhere, but also experience issues specifically related to their severe hyperglycaemia. Management of diabetes could be improved via the increased use of patient education and availability of locally relevant resources.
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http://dx.doi.org/10.1155/2021/5531146 | DOI Listing |
BMJ Open
January 2025
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
Objectives: Diabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.
View Article and Find Full Text PDFBackground And Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) and its more severe subtype, metabolic dysfunction-associated steatohepatitis (MASH), are highly prevalent and strongly associated with obesity and type 2 diabetes (T2D). This study sought to identify challenges to the diagnosis, treatment and management of people living with MASLD and MASH and understand the key barriers to adopting relevant clinical guidelines.
Methods: A real-world, cross-sectional study (BARRIERS-MASLD) consisting of a quantitative survey and qualitative interviews of physicians in France, Germany, Italy, Spain and the United Kingdom was conducted from March to September 2023.
J Racial Ethn Health Disparities
January 2025
Epidemiology and Health Economics Research (EHER), Universidad Científica del Sur, Lima, Peru.
Background: The Afro-Peruvian population is one of the ethnic minorities most affected by cultural, socioeconomic, and health barriers; however, there is little evidence on health inequalities in this ethnic group. Therefore, We aimed to determine health inequalities among the Peruvian Afro-descendant population in comparison with non-Afro-descendants.
Methods: A cross-sectional study was conducted using data from the Demographic and Family Health Survey 2022.
Alzheimers Dement
December 2024
Brain and Mind Institute, Aga Khan University, Nairobi, Kenya.
Background: Alzheimer's disease (AD) is the most common type of dementia globally and is the fifth leading cause of death and disability. About half of all people suffering from the disease are living in sub-Saharan African Countries including Kenya. However, research on dementia has been almost exclusively focused on the Global North societies.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Virginia, Charlottesville, VA, USA.
Background: The microvasculature of the central nervous system (CNS), which delivers oxygen and nutrients and forms a critical barrier protecting the CNS, is deleteriously affected by both Alzheimer's Disease (AD) and Type 2 Diabetes (T2D). Previous studies have shown pericyte dropout and vessel constriction in brain capillaries in AD, while other studies have shown pericyte bridging and dropout in retinal capillaries in T2D. T2D patients have increased risk of AD, suggesting potentially related microvascular pathological mechanisms.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!