Dissemination and Implementation of Improving Pediatric Obesity Practice Using Prompts

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.

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:

• Inclusion of diagnosis code indicating high BMI in visit diagnosis associated with the visit or as an active diagnosis in the problem list
• Recommended lab orders for obesity related comorbidities, if eligible
• Appropriate blood pressure (BP) measurement in children 3 years and older
• Counseling diagnosis codes or structured documentation (every visit)
• Follow-up visit requested at visit or active referral order for further management of obesity

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.

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:

• Inclusion of diagnosis code indicating high BMI in visit diagnosis associated with the visit or as an active diagnosis in the problem list
• Recommended lab orders for obesity related comorbidities, if eligible
• Appropriate BP measurement in children 3 years and older
• Counseling diagnosis codes or structured documentation (every visit)
• Follow-up visit requested at visit or active referral order for further management of obesity

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.