- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05627011
Dissemination and Implementation of Improving Pediatric Obesity Practice Using Prompts (iPOP-UP)
Dissemination and Implementation of Decision Support for the Management of Overweight and Obesity in Pediatric Primary Care - Improving Pediatric Obesity Practice Using Prompts
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This study will evaluate iPOP-UP, a newly-optimized intervention to improve adherence to national guidelines for the management of childhood obesity, among 81 primary care practices, grouped into 71 clinic clusters, affiliated with three health systems serving children with racial and ethnic, socio-economic, rural-urban, and geographic diversity.
This multi-site, parallel 2-arm cluster randomized controlled "Hybrid Type 2" effectiveness-implementation trial will use mixed methods (electronic health record (EHR) data analysis, surveys, interviews, and focus groups) to simultaneously evaluate (1) the effectiveness of the iPOP-UP implementation package in improving clinical care and children's Body Mass Index (BMI) outcomes in pediatric primary care setting and (2) the impact of the implementation strategy on the reach, adoption, fidelity, cost, and maintenance of the intervention.
The unit of randomization in this study is pediatric primary care practice clusters. Within the participating 71 clusters, pediatric primary care clinicians working at the implementation sites will be invited to participate in pre- and post-intervention surveys assessing their practice behaviors, obesity-related attitudes, beliefs, and self-efficacy, EHR usage and attitudes, and training preferences. In addition, a limited data set of EHR from patients visits will be queried and analyzed to evaluate clinical care outcomes and children's BMI outcomes. Limited data (to include dates and geographic information but no facial identifiers) will be queried and analyzed for all children 1) age 2.0 to ≤18 years-old at baseline, 2) with a well-child visit, during which height and weight are measured, at one of the participating practices during the study period, and 3) with a BMI ≥85th percentile for age/sex (CDC criteria for overweight/obesity).
Outcomes include: (a) change in BMI, measured as the yearly change in BMI expressed as a percentage of the 95th percentile (%BMIp95); (b) Change in clinicians' objective practice around managing elevated BMI in primary care using EHR data; (c) Change in clinicians' self-reported knowledge, attitudes, and practice around managing elevated BMI in primary care; and (d) Utilization of Clinical Decision Support (CDS) tools. The investigators will also describe implementation outcomes (reach, adoption, fidelity/adaptation, and cost) through qualitative and quantitative data collection from members of the study team throughout the process of implementation.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Indiana
-
Indianapolis, Indiana, United States, 46202
- Eskenazi Health
-
-
North Carolina
-
Durham, North Carolina, United States, 27708
- Duke University
-
-
Pennsylvania
-
Philadelphia, Pennsylvania, United States, 19104
- Children's Hospital of Philadelphia
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
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;
- Clinician-participants: all clinicians who delivery pediatric primary care at the participating practices, including physicians and physicians-in-training (residents and fellows), physician assistants (PA), nurse practitioners (NP)/advanced practice registered nurses (APRNs);
- Patient-participants: all patients ages 2-18 with overweight/obesity seen during the study period may be impacted by the intervention. A limited dataset will be collected for the subset of these 2 to 18 years old patients with BMI ≥ 85th percentile for age and sex seen for a well or follow-up visit during the study period in a primary care department and conducted by a prescribing clinician (physician, NP, PA)
Exclusion Criteria:
- None - exclusion criteria are purposefully limited in this real-world implementation study
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Clinical Decision Support Tool
Practices assigned to iPOP-UP intervention which involves EHR-based CDS tools refined through a formative evaluation and user-centered design.
|
EHR-based CDS tools refined through a formative evaluation and user-centered design process that immediately preceded this study.
|
|
No Intervention: Control
Practices assigned to usual care that will not have access to the iPOP-UP CDS tool but will have access to many opportunities available to all pediatric clinicians nationally around the release of the new American Academy of Pediatrics guidelines for obesity management.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean Change in BMI as Percentage of 95th Percentile
Time Frame: Up to 15 months after first primary care visit following trial launch
|
Calculated as a percentage of the participant's BMI (m/kg2) divided by the BMI (m/kg2) at the 95th percentile for the participant's age and sex based on CDC growth curves. A negative percentage indicates that the participant's BMI has decreased since trial launch. |
Up to 15 months after first primary care visit following trial launch
|
|
Percent Adherence in Composite Measure of Clinician's Adherence to Clinical Guidelines, for Visits Completed Among Children 2-18 Years-old With BMI ≥85th Percentile.
Time Frame: 6 months after trial launch
|
Percent change in composite measure of adherence to clinical guidelines, calculated from practice behaviors queried from the EHR. A dichotomous variable, adherence is defined as whether or not, for each relevant visit, the clinician followed all evidence of recommended obesity-related care during the study period:
A score of 1 indicates that a clinician followed all evidence of recommended obesity-related care; a score of 0 indicates that a clinician did not follow at least one recommendation for obesity-related care. |
6 months after trial launch
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percent Adherent Visits in Composite Measure of Clinician's Adherence to Clinical Guidelines
Time Frame: 12 and 18 months after trial launch
|
Percent adherent visits at 12 and 18 months in composite measure of adherence to clinical guidelines, calculated from practice behaviors queried from the EHR. A dichotomous variable, adherence is defined as whether or not, for each relevant visit, the clinician followed all evidence of recommended obesity-related care during the study period:
A score of 1 indicates that a clinician followed all evidence of recommended obesity-.related care; a score of 0 indicates that a clinician did not follow at least one recommendation. |
12 and 18 months after trial launch
|
|
Percent Visits With Inclusion of Diagnosis Code Indicating High BMI in Problem List
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of inclusion of diagnosis code indicating high BMI in problem list, queried from the electronic health record at baseline, 6, 12, and 18 months to see change at 6 months and how it's sustained at 12 and 18 months. A higher proportion of visits with relevant diagnosis code is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Visits With Inclusion of Diagnosis Code Indicating High BMI in Visit Diagnosis
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of inclusion of diagnosis code indicating high BMI queried from the electronic health record. A higher proportion of visits with relevant diagnosis code is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Adherent Visits to Guideline Recommended Screening Lab Orders for Obesity Related Comorbidities, if Eligible
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of screening lab orders for obesity-related comorbidities recommended by the American Academy of Pediatrics clinical practice guideline for obesity based on age and BMI percentile, queried from the electronic health record. A higher proportion of visits with recommended screening lab orders is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Adherent Visits in Appropriate Blood Pressure Screening
Time Frame: 6, 12 and 18 months after trial launch
|
Percent adherent visits completed among children 3-18 years with BMI ≥85th percentile during the study period with evidence of appropriate blood pressure screening queried from the electronic health record. A higher proportion of visits with blood pressure screening is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Adherent Visits in Structured Documentation of Counseling
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of counseling structured documentation queried from the electronic health record. A higher proportion of visits with counseling structured documentation is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Visits With Follow-up Visit Requested
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of follow-up visit requested, queried from the electronic health record. A higher proportion of visits with follow-up visit requested is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Visits With Referral for Further Management of Obesity
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of referral for further management of obesity queried from the electronic health record. A higher proportion of visits with follow-up or referral for further management of obesity is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Visits With Weight Loss Medication Orders, if Eligible
Time Frame: 6, 12 and 18 months after trial post intervention launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of weight loss medication orders, if eligible, queried from the electronic health record. A higher proportion of visits with weight loss medication orders, when eligible, is consistent with recommended care. |
6, 12 and 18 months after trial post intervention launch
|
|
Percent Visits With Bariatric Surgery Program Referrals, if Eligible
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of bariatric surgery program referrals, if eligible queried from the electronic health record. A higher proportion of referrals to bariatric surgery programs, when eligible, is consistent with recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Change in Potentially Unnecessary Insulin or Thyroid Laboratory Tests Ordered
Time Frame: 6, 12 and 18 months after trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of insulin or thyroid lab orders, not routinely recommended for evaluation of children with obesity, queried from the electronic health record. A lower proportion indicates better adherence to recommended care. |
6, 12 and 18 months after trial launch
|
|
Percent Visits With Clinicians' Utilization of the Clinical Decision Support Tools
Time Frame: 6, 12 and 18 months following trial launch
|
Visits completed among children 2-18 years with BMI ≥85th percentile during the study period with evidence of clinician use of the clinical decision support tools in the electronic health record developed for this trial, calculated from electronic health record query. Measure= % of visits at intervention sites at which the clinicians' uses clinical decision support tools through18 months A higher proportion indicates greater utilization of clinical decision support tools. |
6, 12 and 18 months following trial launch
|
|
Mean Change in Clinicians' Attitudes and Practice Around Managing Elevated BMI in Primary Care
Time Frame: baseline and 6 months post intervention launch
|
Mean change in clinician's attitudes and practice around management of elevated BMI measured using survey questions.
Five factors will be assessed: Practice, Treatment self-efficacy, Counseling self-efficacy, Expectations, and Technology.
Possible responses range from 1 (strongly disagree) to 5 (strongly agree) for attitudes or 1 (never) to 5 (almost always).
Negative values indicate higher disagreement.
|
baseline and 6 months post intervention launch
|
|
Total Cost and Cost-effectiveness of iPOP-UP
Time Frame: From 6 months before trial launch and up to 15 months after first primary care visit following trial launch
|
Total cost of design, build, implementation of the tools, and other implementation strategies of iPOP-UP incurred by the clinics.
Using a healthcare sector perspective, a micro-costing approach was utilized to estimate costs associated with the design, build, and implementation of EHR-based CDS for the management of pediatric overweight/obesity in primary care.
|
From 6 months before trial launch and up to 15 months after first primary care visit following trial launch
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Mahnoosh (Mona) Sharifi, MD, MPH, Yale University
Publications and helpful links
General Publications
- Ray J, Finn EB, Tyrrell H, Aloe CF, Perrin EM, Wood CT, Miner DS, Grout R, Michel JJ, Damschroder LJ, Sharifi M. User-Centered Framework for Implementation of Technology (UFIT): Development of an Integrated Framework for Designing Clinical Decision Support Tools Packaged With Tailored Implementation Strategies. J Med Internet Res. 2024 May 21;26:e51952. doi: 10.2196/51952.
- Nugent JT, Maciejewski KR, Finn EB, Grout RW, Wood CT, Esserman D, Michel JJ, Lu Y, Sharifi M. High Blood Pressure in Children Aged 3 to 12 Years Old With Overweight or Obesity. Child Obes. 2024 Dec;20(8):581-589. doi: 10.1089/chi.2023.0143. Epub 2024 May 3.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2000033551
- 5R01MD014853 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Obesity, Childhood
-
Universiteit LeidenWageningen University; Nutricia, Inc.; Danone ResearchCompletedChildhood Obesity | Childhood Overweight | Vegetable Acceptance in Early ChildhoodNetherlands
-
Universidad de SonoraCentro de Investigación en Alimentación y Desarrollo A.C.; Instituto Nacional...Not yet recruitingChildhood Obesity Pevention
-
Tehran University of Medical SciencesUnknownChildhood Obesity PreventionIran, Islamic Republic of
-
Cornell UniversityCompletedChildhood Obesity Prevention
-
Universidad Autonoma de Nuevo LeonUniversidad de la SabanaCompletedPrevention Childhood ObesityMexico
-
Oregon State UniversityCompletedChildhood Obesity Prevention
-
The Miriam HospitalHassenfeld Child Health Innovation InstituteCompletedChildhood Obesity PreventionUnited States
-
Fundacion para la Formacion e Investigacion Sanitarias...UnknownChildhood Obesity PreventionSpain
-
Tampere UniversitySeinajoki Central Hospital; Tampere University Hospital; Foundation for Paediatric... and other collaboratorsCompleted
-
Harokopio UniversityCompletedPrevention of Childhood ObesityGreece