Continuous Glucose Monitoring for High-Risk Type 2 Diabetes in the Hospital (Cyber GEMS)
Cyber GEMS
1 other identifier
interventional
518
1 country
1
Brief Summary
Given the known serious consequences of uncontrolled blood sugars during hospitalization, this research plans to study an alternative seamlessly integrated continuous glucose monitoring (CGM) system in the hospital to test a dynamic and digitized, team-based approach to glucose management in an underserved and understudied, yet high-risk population. A digital dashboard will facilitate real-time, remote monitoring of a large volume of patients simultaneously; automatically identify and prioritize patients for intervention; and will detect any and all potentially dangerous hypoglycemic episodes in a hospital environment. The study will focus on clinical metrics of glucose control and infection that are in-line with patient priorities and US hospital quality initiatives.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable type-2-diabetes
Started Apr 2022
Longer than P75 for not_applicable type-2-diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 11, 2021
CompletedFirst Posted
Study publicly available on registry
April 1, 2022
CompletedStudy Start
First participant enrolled
April 19, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 17, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 17, 2025
CompletedMarch 9, 2026
March 1, 2026
3.7 years
November 11, 2021
March 5, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Percent time in range
Participants will have their percent time in range calculated following a minimum CGM data collection period of 12 hours and expressed as a percentage where: Percent Time in Range= 100 (Number readings in range (70-200mg/dL)/Total number of readings from CGM). Number of readings will be used in calculation, which scale directly with time.
Immediately following intervention completion
Percent time spent in hypoglycemia and percent time in severe hyperglycemia
Our second outcome will be assessed by the same methods as the first, but instead looking at Percent Time in Severe Hyperglycemic Range (\>300mg/dL) and Percent Time in Hypoglycemic Range (\<70mg/dL).
Immediately following intervention completion
Infection Rate
Rates of hospital-acquired infection are defined as skin wound or surgical site, central line-associated bloodstream infection, urinary tract infection, bacteremia, clostridium difficile infection, or pneumonia not present at admission. Unadjusted incidence rates among study participants will be compared between intervention and control groups via Chi-Square test of two proportions.
Immediately following intervention completion
Secondary Outcomes (3)
Glucose Variability
Immediately following intervention completion
Electronic Medical Record (EMR) - Derived Outcomes: HbA1C
Immediately following intervention completion
Electronic Medical Record (EMR) - Derived Outcome: fasting POC blood glucose
Immediately following intervention completion
Other Outcomes (12)
Process Indicators (Reach): Enrollment Characteristics
Immediately following intervention completion
Process Indicators (Reach): Representative Characteristics
Immediately following intervention completion
Process Indicators (Reach): CGM wear time
Immediately following intervention completion
- +9 more other outcomes
Study Arms (2)
Continuous Glucose Monitoring
EXPERIMENTALResearch Assistants (RAs) will verbally administer baseline survey and insert Dexcom G6 CGM, before unveiling the group assignment. CGM data will be transmitted from bedside iPhone to web-based platforms for: (1) Real-Time Management (via iPad-based FOLLOW app used by bedside RN and Digital Dashboard used by remote monitoring team) and (2) Clinical Optimization (via CLARITY, a Diabetes RN Coordinator will conduct remote clinical management of patients from a central, Scripps Diabetes Hub). A post-CGM satisfaction survey will be administered and compensation provided when CGM is removed prior to discharge or within 2 weeks following discharge. The CGM readings will be used to make recommendations for insulin adjustment and glucose management. After discharge, CGM data will be downloaded from a HIPPA-compliant, web-based CGM data management tool, and saved in Excel. The Data Analyst, blinded to condition, will routinely screen CGM data and merge individual spreadsheets for analysis.
Usual Care
ACTIVE COMPARATORRAs will verbally administer a baseline survey and insert the Dexcom G6 CGM. before unveiling the group assignment. CGM data will be blinded and used for evaluation purposes only. Glucose will be monitored via the hospital's standard POC testing protocol (i.e., prior to meals and at bedtime for patients who are eating, and every 4-6 waking hours if not eating). Glucose management in UC is designed to minimize differences between groups, aside from CGM monitoring, A post-CGM satisfaction survey will be administered and compensation provided when the CGM is removed prior to discharge or within 2 weeks following discharge. After discharge, CGM data will be downloaded from a HIPPA-compliant, web-based CGM data management tool, and saved in individual Excel spreadsheets. The study Data Analyst, blinded to study condition, will routinely screen CGM data and merge individual spreadsheets for analysis.
Interventions
CGM data will be blinded and used for evaluation purposes only. Glucose will be monitored via the hospital's standard POC testing protocol (i.e., prior to meals and at bedtime for patients who are eating, and every 4-6 waking hours if not eating). Glucose management in UC is designed to minimize differences between groups, aside from CGM monitoring.
CGM data will be transmitted from the bedside iPhone to web-based platforms for: (1) Real-Time Management (via iPad-based FOLLOW app used by bedside RN and Digital Dashboard used by the remote monitoring team) and (2) Clinical Optimization (via CLARITY, by which a Diabetes RN Coordinator will conduct remote clinical management of patients from a central, Scripps Diabetes Hub.
Eligibility Criteria
You may qualify if:
- Documented previous or current Type 2 Diabetes (T2D) diagnosis as defined by either diagnosis in the chart or an HbA1c \> or = to 6.5% in the last 90 days
- Either on subcutaneous (SQ) insulin orders, or greater than two serum or Point of Care (POC) glucose \> or = 200 mg/dL in most recent 24 hours of admission
You may not qualify if:
- Anticipated length of stay \< 24 hours;
- Current or anticipated ICU placement;
- Does not speak English or Spanish;
- Known allergy to adhesives;
- Current participation in any medication or device research study;
- Pregnant;
- Any other condition that Multiple Principal Investigator (MPI) Philis-Tsimikas or the attending physician deems contraindicated
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Scripps Mercy Hospital
Chula Vista, California, 91910, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Athena Philis-Tsimikas, MD
Scripps Whittier Diabetes Institute
- PRINCIPAL INVESTIGATOR
Addie Fortmann, PhD
Scripps Whittier Diabetes Institute
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Corporate Vice President
Study Record Dates
First Submitted
November 11, 2021
First Posted
April 1, 2022
Study Start
April 19, 2022
Primary Completion
December 17, 2025
Study Completion
December 17, 2025
Last Updated
March 9, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share