Clinical Research Directory

Diabetes Toolkit at Discharge

The purpose of this randomized clinical trial is to implement the DM Discharge Toolkit into hospital discharge and assess the effect of the DM Discharge Toolkit on patients newly requiring insulin.

Integrating New Skills Into Diabetes Education With CGM

This study is designed to test the preliminary efficacy of a three-stage continuous glucose monitor (CGM) integration program for older adults who are taking insulin. This study will learn if a three-stage CGM integration program ("intervention") that includes sessions focused on CGM technology skills, data skills, and lifestyle skills impacts CGM wear-time, glycemic metrics, and participant-reported outcomes, compared to two standard CGM training approaches ("comparators"). Following a screening visit and baseline data collection, participants will be randomized to either the intervention or one of the two comparator arms for 6 weeks. The intervention involves three educational sessions over 4 weeks. The first session will be in-person and subsequent sessions will be virtual. Participants in the intervention may receive 1-2 additional individualized training sessions to review CGM skills. The first comparator (Comparator A) will receive a one-time clinic-based CGM training. The second comparator (Comparator B) will be provided with a comprehensive informational pamphlet about CGM. All participants will complete outcomes data collection at 6 weeks. The study will also explore participant experiences through a series of semi-structured interviews with a subset of purposively selected participants and their care partners to identify opportunities for scaling the intervention to a broader population. Lastly, an extension phase of the study will evaluate long-term CGM use and associated outcomes 3- and 6-months post-intervention.

Use of CGM in Kidney Transplant Recipients

The investigators want to study the impact CGM (continuous glucose monitoring) has on patients glycemic control as determined by time in range (TIR 70-180 mg/dL) in the Diabetic Kidney Transplant population.

The Seafarers' Continuous Glucose Monitoring Systems Study

People with diabetes sometimes consider that they are subjected to unfair discrimination in the occupational or work environment. These include safety-critical activities, such as operating machinery and driving 1-3. Some occupations preclude the use of medications that lower blood glucose, particularly insulin. Safety regulators, occupational health physicians and national organisations frequently have to balance the competing priorities of individual rights against public safety. Modern treatment, with advances in insulin therapy and glucose monitoring, combined with rigorous clinical assessment and review, has allowed stereotypical attitudes to be challenged and advocated individual assessment with respect to safety criteria. Along with the UK Driving and Vehicle Licensing Agency (DVLA) and Civil Aviation Authority (CAA), the Maritime and Coastguard Agency (MCA) have accepted that insulin-treated diabetes should not be an absolute contra-indication to partaking in these occupational activities4. However, as the Disability Discrimination Act (1995) recognises that there may be specific employment-related hazards, fitness to work should be assessed on an individual basis. Therefore, each of these transport agencies has established regulatory standards for their respective domains, with the priority of minimising hypoglycaemic incapacitation risks. The CAA, for example, has worked alongside other European countries to use the ARA.MED.330 protocol and require medically certified pilots to check their blood glucose levels regularly before and during flights. In 2010, the UK CAA's expert committee reviewed the knowledge and policies concerning flying and it was decided that Continuous Glucose Monitoring (CGM) systems were not accurate enough and instead used finger prick-blood glucose monitoring (SMBG) as the gold standard. Since then, the protocol has been successfully implemented and there are current works in progress that demonstrate sufficient accuracy in modern CGMs as a viable alternative to SMBG. Similarly, the guidelines devised by the MCA, Approved Doctor's Manual (ADM), place a great emphasis on the type and treatment of diabetes, with the primary concern being risks of cognitive impairment or incapacitation5. Emphasis is placed on the need for able glycaemic control and "full awareness of impending hypos, with no reported or observed significant hypoglycaemic episodes in the last year". The guidance stipulates that certification may be restricted on individuals pending their medication side effects, compliance, and vascular risk factor control. Previous regulations prevented seafaring individuals such as insulin-treated seafarers from partaking in lone watchkeeping/lone-working roles and restricted them to near-coastal duties (150-200 nautical miles) (Appendix 1). Current regulations allows for exemptions for certain vessels, provided that the seafarer's diabetes control remains stable and is subject to blood glucose monitoring. Regardless, an approved medical assessor is needed to conduct these specific medical assessments in line with the statutory standards in MSN 1886 and guidance in the ADM. All seafarers who are insulin-dependent and licenced to undertake seafaring in the UK will be invited to participate in this study.

The Use of the Dexcom G6® in Commercial Pilots With Insulin-treated Diabetes

To compare glucose control achieved by using real time continuous glucose monitoring (CGMS) Dexcom G6® in combination with self-monitored blood glucose during flight and also with free living in pilots.

Diabetes Electronic Prompt for Improved Care Coordination and Treatment in the ED

The goal of this clinical trial is to improve the processes of Type 2 Diabetes (T2D) care coordination and treatment in the emergency department (ED) by utilizing clinical decision support mechanisms in the electronic health record (EHR). The main question is whether electronic prompts triggered by hyperglycemia and elevated A1c results in providers providing earlier treatments and faster time to subsequent primary care appointment and greater reduction in hemoglobin A1c (HA1c). ED clinicians will receive alerts called Our Practice Advisories (OPA's) through the EPIC EHR. The 1st OPA triggers when a random point-of-care (POC) glucose is ≥250 mg/dL, prompting a suggested additional HA1c order. A 2nd OPA triggers if the resulting HA1c is ≥10%, prompting consideration of further care coordination in the Observation Unit. Investigators will compare the outcomes post-intervention compared to pre-intervention.

Commercial or Open Source Closed Loop Impact on Pregnancy Study

The goal of this observational study is to better understand what happens when pregnant people with type 1 diabetes (T1D) use automated insulin delivery (AID) systems. The main questions this study aims to answer are: * What are the maternal and neonatal outcomes with AID system use in pregnancy? * What are the glycemic outcomes with AID system use in pregnancy? * What are the behavioral and emotional outcomes with AID system use in pregnancy? Researchers will compare pregnant people who use commercial AID systems and pregnant people who use open source AID systems to see if outcomes are different with these different types of systems. Participants will be asked to remotely share their AID system data with the research team; complete online surveys regarding behavioral and emotional health; and sign an authorization to release health information to allow the research team to access medical records.

T1D Pregnancy & Me

T1D Pregnancy \& Me will partner with pregnant participants living with type 1 diabetes (T1D) in the United States to collect real-world data on management of T1D in pregnancy. This is a remote study where participants can complete online surveys and share device data (continuous glucose monitor (CGM) data and insulin data). Through the collection of CGM, insulin, and pregnancy outcome data, the study will provide important information to understand how diabetes is being managed during pregnancy. These data will provide much needed evidence to guide modern management of diabetes during pregnancy with a goal of improving care and outcomes.