Bridging technology and clinical practice: innovating inpatient hyperglycaemia management in non-critical care settings.

Emerging evidence shows that suboptimal glycaemic control is associated with increased morbidity and length of stay in hospital. Various guidelines for safe and effective inpatient glycaemic control in the non-critical care setting have been published. In spite of this, implementation in practice remains limited because of the increasing number of people with diabetes admitted to hospital and staff work burden. The use of technology in the outpatient setting has led to improved glycaemic outcomes and quality of life for people with diabetes. There remains an unmet need for technology utilisation in inpatient hyperglycaemia management in the non-critical care setting. Novel technologies have the potential to provide benefits in diabetes care in hospital by improving efficacy, safety and efficiency. Rapid analysis of glucose measurements by point-of-care devices help facilitate clinical decision-making and therapy adjustment in the hospital setting. Glucose treatment data integration with computerized glucose management systems underpins the effective use of decision support systems and may streamline clinical staff workflow. Continuous glucose monitoring and automation of insulin delivery through closed-loop systems may provide a safe and efficacious tool for hospital staff to manage inpatient hyperglycaemia whilst reducing staff workload. This review summarizes the evidence with regard to technological methods to manage inpatient glycaemic control, their limitations and the future outlook, as well as potential strategies by healthcare organizations such as the National Health Service to mediate the adoption, procurement and use of diabetes technologies in the hospital setting.

Utilization of Frontal Assessment Battery and Executive Interview 25 in assessing for dysexecutive syndrome and its association with diabetes self-care in elderly patients with type 2 diabetes mellitus.

AIMS: Executive function (EF) comprises a set of cognitive skills that controls the execution of complex activities. In the context of diabetes, this may include patients' self-monitoring and daily management of their condition. We compared two different measures of EF in a population of elderly patients with type 2 diabetes mellitus (T2DM) and studied its relationship with diabetes self-care. METHODS: Fifty patients (34 males) had EF assessed using Frontal Assessment Battery (FAB) and Executive Interview 25 (EXIT25). Diabetes self-care was assessed using the Summary of Diabetes Self-Care Activities (SDSCA) scale. Haemoglobin A1c (HbA1c), lipid levels, blood pressure and diabetes duration were recorded. RESULTS: The mean age of the patients was 67.0+/-7.5 years and mean duration of diabetes was 8.1+/-6.4 years. Mean HbA1c was 7.0+/-1.2%, and mean fasting plasma glucose, cholesterol and LDL-C were 7.0+/-1.7mM, 4.0+/-0.9mM and 2.1+/-0.7mM respectively. Mean EXIT25 score was 9.5+/-4.6 in the range of normal EF (14% had EXIT25 score>15, indicating impaired EF). Mean FAB score was 13.7+/-3.3 (48% having scores<15, indicating impaired EF), suggesting a degree of dysexecutive syndrome involving frontal lobe functions. EXIT25 score was inversely correlated with SDSCA (r=-0.3, p<0.05) but no significant correlation between FAB and SDSCA or HbA1c, diabetes duration, lipid levels and blood pressure with EXIT25, FAB or SDCSA was found. CONCLUSION: A substantial proportion of elderly patients with T2DM may have dysexecutive syndrome and impairment in EF may impact on self-care in this group.