Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT06314048 |
Other study ID # |
74212 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
April 2024 |
Est. completion date |
January 2026 |
Study information
Verified date |
April 2024 |
Source |
Stanford University |
Contact |
Franziska K Bishop, MS, CDCES |
Phone |
3037485027 |
Email |
fbishop[@]stanford.edu |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The goal of the 4T program is to implement proven methods and emerging diabetes technology
into clinical practice to sustain tight glucose control from the onset of type 1 diabetes
(T1D) and optimize patient-reported and psychosocial outcomes. The investigators will expand
the 4T (Teamwork, Targets, Technology, and Tight Control) program to all patients seen at
Stanford Pediatric Diabetes Endocrinology as the standard of care. Disseminating the 4T
program as the standard of care will optimize the benefits of diabetes technology by lowering
HbA1c, improving PROs, and reducing disparities.
Description:
The investigators propose a multi-disciplinary diabetes team approach to utilize existing and
emerging diabetes technologies and education strategies to implement scalable diabetes care
with the goal of maintaining tight control for newly diagnosed Pediatric T1D patients.
Successful T1D care is more than glucose control; the 4T program will closely monitor
psychosocial and patient-reported outcomes (PROs) through the established psychosocial
screening and treatment program. The 4T program will utilize automated approaches to analyze
glucose profiles developed in conjunction with the Stanford SURF (Systems Utilization
Research For Stanford Medicine) team. The 4T program will tailor intervention to those
patients most in need of team support employing a broad range of behavioral and technology
supports, strengths of the Stanford Pediatric Diabetes program. The 4T program approach more
precisely adapts care to patient needs and optimizes glucose and psychosocial outcomes.
Therefore, the investigators propose to expand the diabetes team approach (Teamwork, Targets,
and Technology for Tight Control: 4T), which utilizes existing diabetes technologies and
education strategies to implement and standardize goal-oriented diabetes care for newly
diagnosed pediatric T1D patients, to a standard of care program at Stanford pediatric
diabetes clinics. The Stanford diabetes team has revised the diabetes education approach to
set clear and tighter targets at new-onset through the early phase of T1D and to be
aggressive with the intensification of control as insulin needs and care demands increase.
The 4T Sustainability program will further standardize T1D team care while allowing for
personalization based on patient/family needs with the goal of optimizing glucose and
psychosocial outcomes. (NOTE: the current protocol [IRB #52812] focuses on early initiation
of CGM as the key technology for glucose monitoring. The 4T program is designed to be
flexible to incorporate emerging technologies as they become available for patient care. For
example, automated insulin delivery systems will be supported as part of the program). To
make the 4T Sustainability Program a true standard of care program, remote patient monitoring
(RPM) of the CGM data and CDCES-tailored patient contacts will be billed using RPM billing
codes. These RPM billing codes have received hospital compliance approval, and billing
workflows will be available in LPCH EPIC.
Personalized Goals and Automated Identification for Need for Insulin Changes in New Onsets:
Data collected by continuous glucose monitoring (CGM) can improve the quality of patient
care; facilitate the use of telemedicine to reduce costs and improve convenience; and improve
the understanding of how daily behaviors shape long-term outcomes.
Modern Electronic Health Records (EHRs) can potentially be used to reduce the workload
necessary to care for patients; reduce error rates by automating alerts; and facilitate
continuous evaluation and improvement of provider adherence to best-practices. To be
practical and scalable, these systems must provide actionable information and require
relatively few inputs. The investigators have developed stand-alone tools that analyze CGM
time series data to set personalized care goals and to determine when glucose values
increase, or insulin dose adjustments and other care adaptations are required. To allow
Stanford and the broader community to realize the full potential of such tools, the
investigators will implement and refine their use in our clinics:
1. Implement and refine analytical methods and software tools to interpret and improve the
quality of time-series CGM data, set personalized goals, and generate automated
notifications for care providers.
2. A data-driven intervention to improve long-term outcomes for early onset patients
including a hospital- server-based monitoring system to evaluate the intervention.
[Note: identification is the goal of the system and medical advice will be solely given
by trained healthcare professionals.]