Computer Automation for Diagnosis and Management of Childhood Type 2 Diabetes

NCT ID: NCT01814787

Last Updated: 2017-05-15

Study Results

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

1369 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-10-31

Study Completion Date

2016-12-31

Brief Summary

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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.

Detailed Description

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As the prevalence of obesity in the United States has risen, so too has the prevalence of type 2 diabetes, a disease typically associated with adults. The American Diabetes Association (ADA) has recommended screening children 10 years of age or older who are at substantial risk for the presence or development of type 2 diabetes. They also recommend that primary prevention efforts, such as lifestyle modification, be directed to high-risk children whose glucose levels are elevated but not yet diagnostic of diabetes. The choice of screening methodology remains controversial and implementation 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 within pediatric primary care practices using a computer decision support system (CDSS) developed by the investigators research group - the Child Health Improvement through Computer Automation (CHICA) system. Using the CHICA system the investigators will also be implementing clinical management prompts for the pediatrician caring for children with risk factors for type 2 diabetes, with impaired fasting glucose (IFG), or with fasting glucose indicating the possibility of diabetes. One of the greatest strengths of the CHICA system is its ability to implement evidence-based recommendations from authoritative sources, in this case the ADA, in a format that integrates easily into routine pediatric care; the system can therefore overcome many of the barriers described by pediatricians to the screening of type 2 diabetes in children. While the use of CDSS is not new, its application within the pediatric population has not been as pervasive as in adult medicine. Moreover, the application of CDSS to the screening, diagnosis and management of type 2 diabetes in children is relatively unexplored. The specific aims for this study are to: (1) Expand and modify an existing computer-based decision support system (CHICA), to identify those children 10 years of age or older who are at increased risk for type 2 diabetes, to provide pediatric physicians guidelines to screen for type 2 diabetes, and to coordinate the diagnosis and long-term management of the condition and (2) Demonstrate both the feasibility and effectiveness of the CHICA Type 2 Diabetes Module to recognize those children in need of screening for type 2 diabetes and facilitate prompt diagnosis and management of the condition. Phase one (Aim 1) focuses on programming and enhancements to the CHICA system and will take 12 months to complete. Phase two consists of a randomized controlled trial conducted in four pediatric clinics in order to evaluate Aim 2. Randomization will be by clinic and 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. Phase two will begin in year 2 and continue through quarter 2 of year 4. Phase three involves statistical analysis and manuscript preparation.

Conditions

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Type 2 Diabetes

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SCREENING

Blinding Strategy

SINGLE

Investigators

Study Groups

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CHICA Type 2 Diabetes Module

Children treated at the two intervention clinic sites will have be treated using the CHICA system AND will be provided access to the newly developed CHICA Type 2 Diabetes Module. The CHICA Type 2 Diabetes Module will assist pediatricians in identification of those children 10 years of age or older who are at increased risk for type 2 diabetes, it will provide pediatric physicians guidelines to screen for type 2 diabetes, and it will coordinate the diagnosis and long-term management of the condition.

Group Type EXPERIMENTAL

CHICA Type 2 Diabetes Module

Intervention Type OTHER

Information with regard to family history of type 2 diabetes, race/ethnicity, and maternal history of gestational diabetes will be gathered for every patient. This data will then be utilized by the CHICA system when a child is age 10 or older and presents to the clinic. Data regarding the child's BMI at that time will be analyzed by the CHICA system. If the child's BMI \> 85th percentile, a prompt will appear on the provider worksheet asking the clinician whether the child might have insulin resistance. All information will then be analyzed to determine whether the child has 2 or more risk factors for the development of type 2 diabetes. If at least 2 risk factors are present, then the CHICA system goes on to coordinate the diagnosis and long-term management of type 2 diabetes.

Usual Care

Those patients who are assigned to the control group will have the CHICA system but will NOT be cared for using the CHICA Type 2 Diabetes Module. The CHICA system will notify the physician of the child's BMI percentile on the physician worksheet. However, the CHICA system will not ask for any additional information related to risk factors for type 2 diabetes on the pre-screening form, no advice will be provided to the physician on the physician worksheet, nor will just-in-time documents or automated reminder calls be made available. Identification of patients at risk for type 2 diabetes and care of those patients will occur through routine practices for that clinic.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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CHICA Type 2 Diabetes Module

Information with regard to family history of type 2 diabetes, race/ethnicity, and maternal history of gestational diabetes will be gathered for every patient. This data will then be utilized by the CHICA system when a child is age 10 or older and presents to the clinic. Data regarding the child's BMI at that time will be analyzed by the CHICA system. If the child's BMI \> 85th percentile, a prompt will appear on the provider worksheet asking the clinician whether the child might have insulin resistance. All information will then be analyzed to determine whether the child has 2 or more risk factors for the development of type 2 diabetes. If at least 2 risk factors are present, then the CHICA system goes on to coordinate the diagnosis and long-term management of type 2 diabetes.

Intervention Type OTHER

Eligibility Criteria

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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
Minimum Eligible Age

10 Years

Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

NIH

Sponsor Role collaborator

Indiana University

OTHER

Sponsor Role lead

Responsible Party

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Aaron Carroll

Professor of Pediatrics

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Aaron E Carroll, MD, MS

Role: PRINCIPAL_INVESTIGATOR

Indiana University School of Medicine

Tamara Hannon, MD, MS

Role: PRINCIPAL_INVESTIGATOR

Indiana University School of Medicine

Locations

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Indiana University School of Medicine

Indianapolis, Indiana, United States

Site Status

Countries

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United States

References

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Hannon TS, Dugan TM, Saha CK, McKee SJ, Downs SM, Carroll AE. Effectiveness of Computer Automation for the Diagnosis and Management of Childhood Type 2 Diabetes: A Randomized Clinical Trial. JAMA Pediatr. 2017 Apr 1;171(4):327-334. doi: 10.1001/jamapediatrics.2016.4207.

Reference Type DERIVED
PMID: 28192551 (View on PubMed)

Other Identifiers

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1R01DK092717

Identifier Type: NIH

Identifier Source: secondary_id

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1R01DK092717

Identifier Type: NIH

Identifier Source: org_study_id

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