Healthcare providers recognize the need for behavior change and the influence of social determinants on youth at risk for poor cardiovascular health (CVH), especially among those of low-socioeconomic status (SES). Yet, providers lack the time and community data necessary to provide tailored, evidence-based care within routine practice. This project will use an Interventional Informatics approach to help providers prescribe patient-centered, evidence-based physical activity and nutrition prescriptions and link patients to community resources to account for social determinants at the point-of-care. This project will integrate our existing, novel, Patient-centered Real-timE interVENTion (PREVENT) tool into the BJC electronic health record (EHR) and test it with providers and adolescent patients at-risk for poor CVH. EHR integration of PREVENT will enable a cyclical, synergistic and data-centric approach to impact modifiable risk factors (physical activity and food intake) and prevent cardiovascular disease. This approach uses health informatics technology (HIT) to deliver data-driven, patient-centered care and generate evidence to support the use of HIT as a way to prevent cardiovascular disease across diverse patients and communities.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
36
PREVENT is a novel Health Information Technology tool designed to promote physical activity and healthy food intake among overweight/obese patients at the point of care. PREVENT automates the delivery of personalized, evidence-based behavior change recommendations and provides an interactive map of community resources to help providers link patients to resources in their community.
Will receive routine clinical care. After completion of follow-up measures, control participants will receive a behavior change prescription via the PREVENT tool
Washington University in St. Louis
St Louis, Missouri, United States
Patients' satisfaction of PREVENT tool: survey
A survey (6-questions) will assess patient's satisfaction with the PREVENT tool. Questions are asked on a 5-point Likert scale (range: 6-30) with a higher score indicating greater satisfaction.
Time frame: 3-months
Provider's satisfaction of PREVENT tool: survey
A survey (31-questions) will assess provider's acceptability and satisfaction with five aspects of health information technology: content, accuracy, format, ease of use and timeliness. Questions are asked on a 5-point Likert scale (range: 31-155) with a higher score indicating greater satisfaction.
Time frame: 3-months
Fidelity of PREVENT tool implementation
Fidelity will be measured using direct observation of patient-provider interactions while using the PREVENT tool. A direct observation checklist will be used by the observer to determine the number of interactions with the PREVENT tool that were implemented as intended.
Time frame: 0-3 months
Change in patient's motivation
A survey (15-question) administered to patients will assess motivation and self-efficacy for behavior change. Questions are asked using a 4-point Likert scale (range: 15-60) with a higher score indicating greater motivation.
Time frame: At baseline, and 3-months
Change in patient's knowledge of CVH
A survey (3-question) administered to patients to assess their knowledge of CVH risk (perceived value/importance of healthy behaviors) and awareness of resources. Questions are asked using a 4-point Likert scale (range: 3-12) with a higher score indicating greater knowledge.
Time frame: At baseline, and 3-months
Change in food intake behaviors
Patient-reported food intake behaviors (fruit and vegetable intake, whole grains, sugar-sweetened beverages and snacking behaviors) are collected using a brief Health Behavior \& Attitudes Survey.
Time frame: At baseline, and 3-months
Change in physical activity behaviors
Patient-reported physical activity (minutes of moderate and vigorous activity per week) are collected using a survey (4-questions). Patients report the average number of minutes of moderate and vigorous activity they do per week.
Time frame: At baseline, and 3-months
Change in body mass index z-score
Collected from patient's medical record. BMI z-score was calculated using the Centers for Disease Control and Prevention Growth Charts. The mean change was calculated by subtracting the baseline mean from the follow-up mean for each intervention group.
Time frame: At baseline, and 3-months
Change on patient's average systolic and diastolic blood pressure
Collected from patient's medical record
Time frame: At baseline, and 3-months
Change in patient's cholesterol
Collected from patient's medical record
Time frame: At baseline, and 3-months
Change in patient's blood glucose
Collected from patient's medical record
Time frame: At baseline, and 3-months
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