Reducing Type 2 Diabetes Diagnostic Delays Using Decision Support
Harnessing the Electronic Medical Record to Reduce Delays in the Diagnosis of Type 2 Diabetes: a Systems-based, Decision Support Approach
1 other identifier
interventional
747
1 country
1
Brief Summary
This study will focus on the cohort of 20,000 established patients cared for by 31 attending physicians in the outpatient, adult primary care practices at UT Southwestern (two general internal medicine one family medicine and one geriatric practice). The investigators will develop and implement an automated Diabetes Detection Tool (DDT) that does data mining on electronic medical record (EMR) lab data to systematically identify all primary care patients with elevated random plasma glucose results (RPGs) who are at high risk of diabetes and thus in need of further testing. In a cluster-randomized trial, primary care providers will be randomized to either the intervention/DDT arm or usual care. Providers in the intervention arm will receive visit-based, EMR-enabled case identification and real-time decision support. Outcomes will be tracked at a patient level. All subjects will be followed for 12 months to assess rates of follow-up diabetes testing, time to testing, rates of subsequent diabetes diagnosis, and time to diagnosis. The investigators hypothesize that the visit-based provider decision support will be superior to usual care.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable diabetes
Started Jul 2014
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
Study Start
First participant enrolled
July 1, 2014
CompletedFirst Submitted
Initial submission to the registry
July 22, 2014
CompletedFirst Posted
Study publicly available on registry
July 24, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2016
CompletedApril 26, 2023
April 1, 2023
1.1 years
July 22, 2014
April 24, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Resulted Diabetes Screening Test
The proportion of patients completing diabetes testing, defined by a resulted A1C or fasting plasma glucose (FPG) within 90 days of the first best practice alert (BPA) fire or the time that the alert would have fired in the control group.
90 days
Secondary Outcomes (5)
Ordered Diabetes Screening
90 days
Time to diabetes testing
12 months
Time to diabetes diagnosis
12 months
Pre-diabetes diagnosis
90 days
Diabetes Diagnosis
90 days
Study Arms (2)
Clinical Decision Support
EXPERIMENTALVisit-based, EMR-enabled case identification and real-time decision support to identify patients without diabetes who have a RBG\>= 125mg/dL and no resulted diabetes screening.
Usual care
NO INTERVENTIONDiabetes screening/testing and diagnosis per usual care at the discretion of the treating physician.
Interventions
Investigators will develop and implement an automated Diabetes Detection Tool (DDT) that does data mining on EMR lab data to systematically identify all primary care patients with elevated RPGs who are at high risk of diabetes and in need of further diabetes testing/screening.
Eligibility Criteria
You may qualify if:
- Study Patients Included: will be those who are:
- an established patient of a study PCP;
- have no diagnosis of diabetes (encounter diagnoses, problem list, medical history);
- over 18 years of age
- have at least one RPG≥125mg/dL in the past 2 years
You may not qualify if:
- Study Patients Excluded: will be those who are:
- pregnant;
- under 18 years of age and
- Patients with an A1C\<6.5% in the past 12 months, as this would indicate the appropriate follow-up was done
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UT Southwestern Medical Center
Dallas, Texas, 75390, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Michael E Bowen, MD, MPH
University of Texas Southwestern Medical Center
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
July 22, 2014
First Posted
July 24, 2014
Study Start
July 1, 2014
Primary Completion
August 1, 2015
Study Completion
April 1, 2016
Last Updated
April 26, 2023
Record last verified: 2023-04