Endocrine Abstracts

JOINT2966

Background: Effective hypoglycaemia management requires adherence to standardized guidelines, yet implementation remains inconsistent across healthcare settings¹. A structured monitoring system can improve compliance, but its success depends on user acceptability and integration into clinical workflows². Codesigning such systems with end-users enhances usability and adoption, ultimately supporting better patient care³.

Aims: This study aimed to develop and implement a multicentre, standardised data collection system co-designed with end-users, assessing its feasibility, scalability, and sustainability.

Methods: This multicentre observational study was conducted from October 2023 to July 2024 and involved nine hospitals across three NHS trusts. An online Google Form was created through collaboration between clinical experts, medical students, and resident doctors. The form was piloted by diverse team members to ensure its appropriateness and robustness. Data collection focused on various factors involved during the management of hypoglycaemia, with a two-tier system ensuring data security. The system was scaled across the hospitals, with regular training and quality control measures in place.

Results: The co-designed data collection system, iteratively refined based on end-user feedback, was implemented consistently through structured training. Overall, we collected data on 1, 881 hypoglycaemic episodes across nine hospitals in 10 months. The system was scaled across varied IT environments, making it a sustainable tool in continuous data collection by new cohorts of medical students and ensuring ongoing implementation. Users found the system easy to use, with seamless accessibility and robust data security.

Conclusion: The study successfully developed a scalable, sustainable, and standardised data collection system for hypoglycaemia management, addressing a critical gap in UK healthcare. Its sustainability across various IT environments highlights its long-term feasibility. Further refinement of the system through AI-driven analytics and real-time data integration could enhance its predictive capabilities and clinical decision-making support. Future efforts should focus on expanding the system to additional healthcare settings and evaluating its impact on clinical outcomes and patient safety.

References1. Cryer PE. Hypoglycemia in type 1 diabetes mellitus. Endocrinol Metab Clin North Am. 2010;39(3):641–54.

2. Johnston SS, Conner C, Aagren M, et al. Hypoglycemia incidence and healthcare costs among type 2 diabetes patients treated with long-acting insulin analogs. J Med Econ. 2012;15(5):1009–16.

3. Vindrola-Padros C, Eyre L, Baxter H, et al. Addressing challenges in implementing co-designed healthcare innovations: Lessons from a realist evaluation. BMJ Open. 2019;9(3):e024491.