Computer Automation for Diagnosis and Management of Childhood Type 2 Diabetes
Completed · Not applicable
Conditions studied: Type 2 Diabetes
In brief
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.
Key facts
- Study ID
- NCT01814787
- Run by
- Indiana University
- People needed
- 1369
- Starts
- 2013-10-01
- Expected to finish
- 2016-12-01
- Last updated by the study team
- 2017-05-15
Who can join
Age: 10 and older, up to 18. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- 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.
You may not qualify if…
- None
Where it is running
- Indiana University School of Medicine — Indianapolis, Indiana, United States
Full record on ClinicalTrials.gov
Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.