Pediatric Obesity Clinical Trial
— iPOP-UPOfficial title:
Improving Pediatric Obesity Practice Using Prompts (iPOP-UP): Using Electronic Health Records to Support Decision-Making in Pediatric Obesity Care
Verified date | May 2021 |
Source | Yale University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This study compares the effectiveness of electronic health record (EHR)-based tools to support the management of pediatric obesity in primary care. All clinicians will receive an interruptive "pop-up" alert We will examine the impact -- the added value versus unintended consequences -- of the interruptive alert on the quality of obesity management in pediatric primary care.
Status | Completed |
Enrollment | 140 |
Est. completion date | December 31, 2020 |
Est. primary completion date | September 30, 2020 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility | All pediatric primary care providers providing well child care for patients ages 2-17 years-old in the Boston Children's Hospital primary care practices will be eligible for the study. There are no exclusion criteria. |
Country | Name | City | State |
---|---|---|---|
United States | Boston Children's Hospital | Boston | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
Yale University | Boston Children's Hospital |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in body mass index (BMI) | change in BMI, calculated from height and weight measured as part of routine clinical practice during primary care clinic visits and documented in the EHR | 1 year pre-intervention, baseline, and 1 year post-intervention | |
Primary | Change in percent BMI above the 95th percentile (%BMIp95) | Change in percentage of age/sex-adjusted BMI above the 95th percentile (%BMIp95), calculated from height and weight measured as part of routine clinical practice during primary care clinic visits and documented in the EHR | 1 year pre-intervention, baseline, and 1 year post-intervention | |
Primary | Change in documentation of elevated BMI diagnosis | Change in proportion of patients with obesity who have elevated BMI documented in the EHR | 1-year pre-implementation compared to 1-year post-implementation | |
Primary | Change in proportion of patients with obesity | Change in proportion of patients with obesity who receive age-appropriate screening for comorbidities (blood measure measurement and age-appropriate laboratory screening) | 1-year pre-implementation compared to 1-year post-implementation | |
Primary | Change in proportion of patients with obesity who have counseling for obesity-related behavior change documented in the EHR | 1-year pre-implementation compared to 1-year post-implementation | ||
Primary | Change in proportion of patients with obesity with follow-up or referral orders | 1-year pre-implementation compared to 1-year post-implementation | ||
Secondary | Change in provider knowledge, attitudes and practice around obesity management in primary care assessed via an electronic surveys and qualitative interviews of clinicians | baseline compared to 6 months post-implementation | ||
Secondary | System usability scale (SUS) score | the system usability scale is a validated 10-item measure of system usability | 6 months post-implementation |
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