N/A
N=1,369
Computer Automation for Diagnosis and Management of Childhood Type 2 Diabetes
Type 2 Diabetes
Bottom Line
View on ClinicalTrials.gov: NCT01814787 ↗Enrolled (actual)
1,369
Serious AEs
0.0%
Results posted
Mar 2017
Primary outcome: Primary: Number of Children With Documented Risk Factors for Type 2 Diabetes — 283; 282 Participants
Study Design & Population
- Study type
- Interventional
- Phase
- N/A
- Interventions
- CHICA Type 2 Diabetes Module (Other)
- Age
- Pediatric, Adult · 10+ yrs
- Sex
- All
- Sponsor
- Indiana University
- Primary completion
- Jul 2016
Outcome Measures
| Outcome | Result | p-value |
|---|---|---|
| PRIMARY Number of Children With Documented Risk Factors for Type 2 Diabetes |
283; 282 | — |
Summary
Increasing rates of type 2 diabetes among children and adolescents has considerable long-term implications not only for the affected individuals, but also for society and the health system as a whole. Pediatricians have unique and important opportunities to screen for type 2 diabetes and to promote lifestyle modification for those children identified with pre-diabetes; yet implementation of these practices within the pediatric primary care setting is far from ideal. The purpose of this study is to implement the ADA screening guidelines for type 2 diabetes and clinical management prompts within a pediatric primary care setting using a computer decision support system (CDSS) developed by the investigators research group - the Child Health Improvement through Computer Automation (CHICA) system. The investigators hypothesize that the coupling of CDSS with ADA guidelines will result in greater compliance with ADA recommended screening procedures as well as better clinical management of children identified as having pre-diabetes or type 2 diabetes.
Eligibility Criteria
Inclusion Criteria
- A patient's chart will be eligible for chart abstraction if the child is age 10 or older and is a patient at one of the four clinics involved in the study.
Exclusion Criteria
- None
Data sourced from ClinicalTrials.gov (NCT01814787). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.