Electronic Health Record Prompts for Childhood Obesity

(iPOP-UP Trial)

No longer recruiting at 2 trial locations
EB
M(
Overseen ByMahnoosh (Mona) Sharifi, MD, MPH
Age: Any Age
Sex: Any
Trial Phase: Academic
Sponsor: Yale University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)
Approved in 1 JurisdictionThis treatment is already approved in other countries

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to determine if electronic health record prompts can more effectively manage childhood obesity in primary care settings. The study will compare practices using these prompts with those following usual care guidelines. Children aged 2 to 18 with a BMI at or above the 85th percentile, who visit participating primary care practices, might benefit most from this trial. As an unphased trial, it offers a unique opportunity to contribute to innovative healthcare solutions for childhood obesity.

Do I have to stop taking my current medications for this trial?

The trial protocol does not specify whether you need to stop taking your current medications. It seems focused on implementing electronic health record tools rather than changing medication regimens.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that this clinical decision support tool is safe for managing pediatric obesity?

Research has shown that reminders in Electronic Health Records (EHR), such as those in the iPOP-UP program, help doctors more easily identify children at risk for obesity. This tool provides doctors with helpful reminders and advice directly in the patient's digital record.

EHR reminders have been implemented in many settings and are generally considered safe. No reports indicate problems directly caused by using these digital tools to manage childhood obesity. Since these reminders assist doctors in decision-making rather than performing medical procedures, they are usually well-accepted.

In summary, EHR reminders like iPOP-UP are regarded as a safe way to assist healthcare providers in making informed choices about managing childhood obesity.12345

Why are researchers excited about this trial?

Researchers are excited about the iPOP-UP intervention because it leverages electronic health records (EHR) to provide tailored clinical decision support (CDS) tools for managing childhood obesity. Unlike traditional methods that rely on general guidelines and in-person consultations, iPOP-UP integrates directly into the workflow of healthcare providers, offering immediate, personalized prompts during patient visits. This approach aims to enhance the efficiency and effectiveness of obesity management by providing evidence-based recommendations in real-time, potentially leading to better health outcomes for children.

What evidence suggests that the iPOP-UP clinical decision support tool is effective for managing childhood obesity?

This trial will evaluate the effectiveness of Electronic Health Record (EHR) prompts in managing childhood obesity. Research has shown that EHR reminders can help doctors and nurses manage childhood obesity more effectively. Participants will be assigned to one of two groups: those using the iPOP-UP Clinical Decision Support Tool, which includes EHR-based prompts, and a control group receiving usual care without the iPOP-UP tool. Studies have found that these reminders help doctors identify children at risk of becoming overweight. EHR tools also ensure that healthcare providers follow national guidelines for treating obesity in children. Early results suggest that these reminders lead to better weight management in children. Overall, these tools appear promising for improving obesity care in primary healthcare settings.12346

Who Is on the Research Team?

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Mahnoosh (Mona) Sharifi, MD, MPH

Principal Investigator

Yale University

Are You a Good Fit for This Trial?

This trial is for primary care practices using a specific EHR system, their clinicians (including doctors, residents, fellows, PAs, and NPs), and patients aged 2-18 with overweight/obesity. It focuses on those seen for well or follow-up visits by prescribing clinicians.

Inclusion Criteria

Primary Care Practices: all primary care practices using the EHR system of one of the 3 health systems participating in the study that agree to participate in the iPOP-UP trial
I am a healthcare provider in pediatric primary care.

Exclusion Criteria

None - exclusion criteria are purposefully limited in this real-world implementation study

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Intervention Implementation

Implementation of the iPOP-UP intervention to improve adherence to national guidelines for managing childhood obesity

18 months
Regular visits as per primary care schedule

Follow-up

Participants are monitored for changes in BMI and adherence to clinical guidelines

6 months

What Are the Treatments Tested in This Trial?

Interventions

  • Improving Pediatric Obesity Practice Using Prompts (iPOP-UP)
Trial Overview The study tests the use of electronic prompts in patient records to help manage pediatric overweight and obesity in primary care settings. It aims to see how well these prompts work when used widely in real-world conditions.
How Is the Trial Designed?
2Treatment groups
Experimental Treatment
Active Control
Group I: Clinical Decision Support ToolExperimental Treatment1 Intervention
Group II: ControlActive Control1 Intervention

Improving Pediatric Obesity Practice Using Prompts (iPOP-UP) is already approved in United States for the following indications:

🇺🇸
Approved in United States as iPOP-UP for:

Find a Clinic Near You

Who Is Running the Clinical Trial?

Yale University

Lead Sponsor

Trials
1,963
Recruited
3,046,000+

National Institute on Minority Health and Health Disparities (NIMHD)

Collaborator

Trials
473
Recruited
1,374,000+

Published Research Related to This Trial

A new algorithm was developed to accurately identify children aged 1-5.99 years with severe early onset obesity using both structured and unstructured data from electronic health records, achieving high precision with a rule-based approach (0.895 accuracy at one site).
This algorithm is crucial for targeting interventions in children at high risk for obesity-related health issues and aids in identifying genetic factors by excluding patients with other causes of obesity, enhancing future healthcare applications.
Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.Lingren, T., Thaker, V., Brady, C., et al.[2020]
A study of 49,694 pediatric patients revealed that conditions like asthma and allergic rhinitis are significantly associated with obesity incidence, particularly noted during healthcare visits leading up to the diagnosis of obesity.
The analysis identified 163 condition patterns related to obesity, suggesting that certain health issues prior to obesity diagnosis may serve as early indicators, warranting further investigation into their potential causal relationships.
Identification of temporal condition patterns associated with pediatric obesity incidence using sequence mining and big data.Campbell, EA., Qian, T., Miller, JM., et al.[2021]
Implementing evidence-based guidelines for childhood obesity identification and prevention in primary care significantly increased the identification of at-risk children, with a notable improvement in documentation (p < .0001).
The use of a tracking form during preventative care visits enhanced the delivery of obesity prevention education through motivational interviewing, leading to better engagement with families (p < .05).
Implementation of childhood obesity identification and prevention strategies in primary care: A quality improvement project.Rankin, A., Blood-Siegfried, J., Vorderstrasse, A., et al.[2023]

Citations

Study Details | NCT05627011 | Dissemination and ...This study will evaluate iPOP-UP, a newly-optimized intervention to improve adherence to national guidelines for the management of childhood obesity, ...
Dissemination and Implementation of Improving Pediatric ...The purpose of this study is to evaluate the dissemination and implementation of electronic health record-based clinical decision support tools ...
Electronic Health Record Prompts for Childhood Obesity ...The available research shows that using Electronic Health Record Prompts for Childhood Obesity can significantly improve the identification of children at risk ...
Improving Pediatric Obesity Practice Using PromptsThis study compares the effectiveness of electronic health record (EHR)-based tools to support the management of pediatric obesity in primary care. All ...
Child Obesity Electronic Health Record Tool - PubMed CentralStudy findings suggest that EHR-enabled tools to assist primary care teams in managing child obesity may be useful for helping to address the weight in children ...
High Blood Pressure in Children Aged 3 to 12 Years Old ...We conducted a cross-sectional study based on pre-intervention data from the Improving Pediatric Obesity Practice Using Prompts (iPOP-UP) trial ...
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