Improving Pediatric Obesity Practice Using Prompts

Yale University140 enrolled

Overview

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.

The primary specific aims of this study are to: 1. To assess the impact of EHR-based tools for pediatric obesity in primary care. Hypotheses: EHR-based clinical decision support tools that interrupt but support clinical workflow will (1) improve measures of pediatric obesity care quality delivered by clinicians (e.g., addition of obesity to the problem list, recommended screening for comorbidities, and follow-up/referral plans) and (2) result in a reduced rate of BMI increase over one year among children with obesity. 2. To utilize a mixed methods approach with surveys and semi-structured qualitative interviews with clinicians to (1) examine the extent to which the EHR tools positively impact clinicians' awareness, knowledge and adherence to expert guidelines for pediatric obesity management, and (2) to explore the barriers to and facilitators of clinicians' use of the EHR tools and factors that influence adoption.

Study Type

INTERVENTIONAL

Allocation

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Enrollment

140

Conditions

Pediatric Obesity

Interventions

Interruptive Clinical Decision SupportBEHAVIORAL

An interruptive, "soft-stop" alert will pop up when a pediatric primary care provider open a child's electronic health record (i.e., a new window in the forefront of the screen interrupting workflow and requiring the clinician to take an action) alerting them that the child meets criteria for obesity based on their age/sex-specific BMI percentile. The pop-up alert includes: * One-click addition of elevated BMI to problem list * Reminder to utilize Suggested PowerPlan * One-click access to a patient handout on evidence-based behavior change goals (screen time, sugary drinks, physical activity, sleep) and link to additional handouts and resources * Tables displaying trends in growth measures, blood pressure and relevant laboratory tests * Links to existing, evidence-based childhood obesity screening and management guidelines

Eligibility

Sex: ALL

Medical Language ↔ Plain English

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.

Locations (1)

Boston Children's Hospital

Boston, Massachusetts, United States

Outcomes

Primary Outcomes

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

Time frame: 1 year pre-intervention, baseline, and 1 year post-intervention

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

Time frame: 1 year pre-intervention, baseline, and 1 year post-intervention

Change in documentation of elevated BMI diagnosis

Change in proportion of patients with obesity who have elevated BMI documented in the EHR

Time frame: 1-year pre-implementation compared to 1-year post-implementation

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)

Time frame: 1-year pre-implementation compared to 1-year post-implementation

Change in proportion of patients with obesity who have counseling for obesity-related behavior change documented in the EHR

Time frame: 1-year pre-implementation compared to 1-year post-implementation

Change in proportion of patients with obesity with follow-up or referral orders

Time frame: 1-year pre-implementation compared to 1-year post-implementation

Secondary Outcomes

Change in provider knowledge, attitudes and practice around obesity management in primary care assessed via an electronic surveys and qualitative interviews of clinicians

Data from ClinicalTrials.gov

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