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

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

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06899191
Acronym
DEPICCT
Enrollment
200
Registered
2025-03-27
Start date
2025-03-30
Completion date
2026-03-31
Last updated
2025-05-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 2 Diabetes, Type 2 Diabetes Mellitus (T2DM), Hyperglycemia, Insulin Dependent Diabetes

Keywords

Type 2 Diabetes, Electronic Prompt, Emergency Department Diabetes, Practice Advisory

Brief summary

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.

Detailed description

Type 2 Diabetes (T2D) is a growing public health crisis with rates of diabetes steadily increasing over the last 10 years. The ED is commonly the first point of contact for individuals who present with symptoms of hyperglycemia, often with very severe (HbA1C \> 10%) underlying diabetes. However, there is currently no national guideline or clinical policy for the ED management of patients who are not in diabetic ketoacidosis (DKA) or in a hyperglycemia hyperosmolar state (HHS). The investigators hypothesize that there are two subgroups who may benefit from greater care coordination initiated from the ED: patients who are newly-diagnosed with severe T2D and patients whom T2D is poorly-controlled despite medication adherence. This study designs electronic prompt practice advisories that nudge ED providers towards more aggressive treatment pathways. It is currently unknown whether alert tools can improve the delivery and coordination of care of patients with severe T2D presenting to the ED.

Interventions

DIAGNOSTIC_TESTHemoglobin A1c

Prompt to order A1c

BEHAVIORALObservation Unit

Electronic prompt nudging ED provider to consider admitting patient to the Observation Unit for care coordination and more aggressive glycemic control

Sponsors

Rutgers, The State University of New Jersey
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Moderate hyperglycemia, (glucose ≥250 mg/dL) * Patients who arrive in the emergency department * Not pregnant or peri-partum * Not SARS-COV-2 PCR positive in past 7 days

Exclusion criteria

* Diabetic ketoacidosis (pH \< 7.20, HCO3 \< 15, AG \> 25) * Diabetic foot ulcer or skin complications * Hyperglycemic hyperosmolar state with neurologic impairment * Patients who leave against medical advice (AMA), elope from the ED, or are transferred to another facility

Design outcomes

Primary

MeasureTime frameDescription
Care Coordination: Follow-Up CareFrom date of ED encounter until 4 weeks after% Patients achieving: A T2D-related appointment within 4 weeks
Physiologic ResponseFrom date of ED encounter to 4 months after% Patients achieving: HbA1c 1% reduction in 3 months

Secondary

MeasureTime frameDescription
Care Coordination: InsuranceWithin 3 weeks of ED encounterInclusion: patients with NO insurance Measure % Patients achieving new insurance
Care Coordination: Medication Prescription3 daysInclusion: patients discharged from the ED or observation Unit % subjects prescribed a diabetes medication
Care Coordination: Medication Change3 daysInclusion: patients discharged from the ED or observation Unit % subjects with a change in diabetes medication regimen
Care Coordination: Appointment3 monthsTime (days) to next appointment related to T2D, calculated as \[Appt date\] - \[ED encounter date\]
Care Coordination: DispositionWithin 1 day of ED encounter datenumber of patients discharged, number of patients admitted to observation unit, number of patients admitted to hospital
Physiologic: Serum Glucose1 daySerum glucose concentration change from beginning to end of ED encounter
Physiologic: Hemoglobin A1c percentage6 monthsSerum hemoglobin A1c (%)
Physiologic: Diagnosis1 dayProportion of subjects with newly diagnosed Type 2 Diabetes, proportion of subjects with poorly controlled, established Type 2 Diabetes
Physiologic: ED medications1 day% subjects receiving (1) intravenous fluids, (2) insulin, (3) other diabetes medications while in the ED
Physiologic: A1c Orders1 dayProportion of patients with hemoglobin A1c ordered in the ED
Care Coordination: Length of stay1 dayLength of stay (minutes) of subject ED encounter

Countries

United States

Contacts

Primary ContactPaul Peng, MD PhD MS
paul.peng@rutgers.edu732-633-1402

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026