Abstract
The broad aims of this thesis were to evaluate clinical outcomes and user experience of DIY-rtCGM (DIY-real time continuous glucose monitoring) and AID(Automated insulin Delivery), which are both interconnected aspects of wearable technology in type 1 diabetes. To investigate these two aspects, multiple research methodologies, including both quantitative and qualitative techniques, were utilised in five completed studies inclusive of a protocol paper.
Despite finding no significant difference in glycaemic control, DIY-rtCGM provided an improved patient experience and was safe, acceptable, and trustworthy. We found that remote monitoring was used in different ways depending upon age, with reduced uptake in older individuals for both DIY-rtCGM and AID. The underlying reasons for this are being studied further.
The augmentation of AID with decision support tools, as seen in the optimisation study, has revealed a reduction in time in hypoglycaemia, with no worsening of time in range (TIR). The use of decision support tools further resulted in settings that were both acceptable and safe.