PREVENT Tool Study: Late Effects Clinic
Addressing Social Determinants of Health During Clinical Care Visits to Promote Equitable Behavior Change and PREVENT Cardiovascular Disease
2 other identifiers
interventional
65
1 country
1
Brief Summary
The purpose of this study is to test the feasibility of a novel, Health Information Technology behavior change tool in a single clinic setting. The PREVENT tool is the first electronic health record (EHR)-compatible tool that both tailors evidence-based behavior change strategies and incorporates community-level data specific to each patient into routine care. The central hypothesis is that PREVENT will improve patient's attitudes towards behavior change recommendations, increase adherence to recommended behavior change and improve cardiovascular health. Fifty adolescents will be randomized to intervention or wait-list, routine care control to assess the preliminary effectiveness of PREVENT. Qualitative and quantitative methods will be used among patients, parents and providers to examine barriers to current and future implementation of the PREVENT tool to inform adoption and maintenance.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Feb 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 11, 2020
CompletedFirst Posted
Study publicly available on registry
August 28, 2020
CompletedStudy Start
First participant enrolled
February 10, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 14, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
February 14, 2022
CompletedResults Posted
Study results publicly available
April 25, 2023
CompletedApril 25, 2023
April 1, 2023
1 year
August 11, 2020
February 12, 2023
April 24, 2023
Conditions
Outcome Measures
Primary Outcomes (5)
Mean Change in Minutes of Moderate Physical Activity Per Week (From Self Report) Survey
* Physical activity will be measured using a triaxial accelerometer (Actigraph GT3X+, Actigraph of Ft. Walton Beach, FL). The participant will be instructed to wear the accelerometer on an elasticized belt, on the left mid-axillary line. The Actigraph is one of the most common accelerometers used for scientific purposes. Participants will be encouraged to wear the accelerometer 24-hours per day for at least 7-days, including 2 weekend days. Participants completed a brief Health Behavior \& Attitudes Survey using questions from the International Physical Activity Questionnaire Mean changes from baseline and 3-month follow-up were calculated as the follow-up measure minus the baseline measure, averaged across the intervention groups. * Note: Actigraph measure was dropped due to university mail distribution delays during the remote work period of the COVID-19 pandemic. Self-reported change in minutes of physical activity became the primary outcome.
At baseline and 3-months
Mean Change in Minutes of Vigorous Physical Activity Per Week (From Self Report) Survey
* Physical activity will be measured using a triaxial accelerometer (Actigraph GT3X+, Actigraph of Ft. Walton Beach, FL). The participant will be instructed to wear the accelerometer on an elasticized belt, on the left mid-axillary line. The Actigraph is one of the most common accelerometers used for scientific purposes. Participants will be encouraged to wear the accelerometer 24-hours per day for at least 7-days, including 2 weekend days. Participants completed a brief Health Behavior \& Attitudes Survey using questions from the International Physical Activity Questionnaire Mean changes from baseline and 3-month follow-up were calculated as the follow-up measure minus the baseline measure, averaged across the intervention groups. * Note: Actigraph measure was dropped due to university mail distribution delays during the remote work period of the COVID-19 pandemic. Self-reported change in minutes of physical activity became the primary outcome.
At baseline and 3-months
Mean Change in Number of Food Intake Behaviors Met
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. Responses are dichotomized into a binary yes (1)/no (0) score indicating whether or not the patient is meeting the food intake recommendation for each food group. The total number of food intake behaviors are scored on a 5 item scale (range 0-5), maximum improvement in number of behaviors=5. Mean changes from baseline and 3-month follow-up were calculated as the follow-up measure minus the baseline measure, averaged across the intervention groups.
At baseline and 3-months
Provider's Satisfaction of PREVENT Tool: Survey
A survey (24-questions) containing validated subscales assessed provider's satisfaction with the PREVENT tool on subscales assessing acceptability, feasibility, and appropriateness of the tool, and satisfaction with specific components of the tool. Items were scored on a 5-point Likert scale with a higher score indicating greater satisfaction. Subscales were summed to generate the average across all questions (range 1-5) and was reported as overall satisfaction.
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.
0-3 months
Secondary Outcomes (11)
Provider's Motivation for Sustained Use of PREVENT Tool
3-months
Maintenance of PREVENT Tool as Measured by Provider Perceptions of Feasibility of the Tool
3-months
Maintenance of PREVENT Tool as Measured by Provider Perceptions of Ease of Use of the Tool
3-months
Patient's Perceptions of Usability/Acceptability of PREVENT Tool
3-months
Parent's Perceptions of Usability/Acceptability of PREVENT Tool
3-months
- +6 more secondary outcomes
Study Arms (4)
Providers
NO INTERVENTION* All eligible providers will be sent questionnaires electronically to their email at baseline and follow-up. Providers will be invited to attend a training session to educate them on the PREVENT tool at baseline * A subset of 5-10 providers will be recruited via email, at the baseline training,or by using snowball-sampling approach within the clinic to participate in qualitative in-depth interviews
Parents
NO INTERVENTION-Semi-structured interviews
Patients - Wait-List Control
ACTIVE COMPARATOR* Complete questionnaires at baseline (administered electronically or by mail; accelerometers administered by mail). Following baseline measurement, patients will be randomized and attend their clinic visit. Follow-up measures will be administered immediately following the clinic visit (within 48 hours) and 3-months after the clinic visit electronically and by mail * Up to 10 patients will also take part in semi-structured interviews * A PREVENT action plan (behavior change prescription, community resources, and education) will be provided to the patient via email after the completion of the follow-up measurement.
Patients - PREVENT tool
EXPERIMENTAL* Complete questionnaires at baseline (administered electronically or by mail; accelerometers administered by mail). Following baseline measurement, patients will be randomized and attend their clinic visit. Follow-up measures will be administered immediately following the clinic visit (within 48 hours) and 3-months after the clinic visit electronically and by mail * Up to 10 patients will also take part in semi-structured interviews * At the clinic visit, the provider will use PREVENT tool to discuss risk and deliver a tailored behavioral change plan inclusive of patient-centered community resources. PREVENT will calculate patient's overall risk for developing cardiovascular disease. Physical activity and food intake recommendations are tailored to current weight status and health behaviors using evidence-based recommendations.
Interventions
-Will receive routine clinical care. After completion of follow-up measures, control participants will receive a behavior change prescription via the PREVENT tool
-PREVENT is a novel Health Information Technology tool designed to promote physical activity and healthy food intake among overweight/obese adolescent 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.
Eligibility Criteria
You may qualify if:
- Patient Eligibility Criteria:
- Adolescents 12 to 19 years
- Prior diagnosis of pediatric cancer (diagnosed \<21 years of age)
- Not receiving active therapy for their cancer
- Receiving care from the Pediatric Hematology/Oncology staff and physicians at St. Louis Children's Hospital or the St. Louis Children's Specialty Care Center (CSCC)
- At risk for poor cardiovascular health (CVH) (BMI greater than or equal to 85th percentile)
- Provider Eligibility Criteria -All providers and staff (physicians, nurses, clinic staff, clinical research associates) in the Pediatric Hematology/Oncology program at St. Louis Children's Hospital and the CSCC
- Parent Eligibility Criteria
- A parent or legal guardian of a study participant. The parent or legal guardian must have been present at the clinic visit in which the PREVENT tool was administered to the study participant.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Washington University School of Medicine
St Louis, Missouri, 63110, United States
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Maura Kepper, Ph.D.
- Organization
- Washington University School of Medicine
Study Officials
- PRINCIPAL INVESTIGATOR
Maura Kepper, Ph.D.
Washington University School of Medicine
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 11, 2020
First Posted
August 28, 2020
Study Start
February 10, 2021
Primary Completion
February 14, 2022
Study Completion
February 14, 2022
Last Updated
April 25, 2023
Results First Posted
April 25, 2023
Record last verified: 2023-04
Data Sharing
- IPD Sharing
- Will not share