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.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
65
-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.
Washington University School of Medicine
St Louis, Missouri, United States
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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
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
Provider's Motivation for Sustained Use of PREVENT Tool
A survey (8 questions) assessed provider's intent to change their behavior and continue using PREVENT. Questions were adapted from Legare's CPD Reaction Questionnaire and asked using a 5-point Likert scale (range 1-5). An average of all responses was calculated with a higher score indicating greater motivation for sustained use.
Time frame: 3-months
Maintenance of PREVENT Tool as Measured by Provider Perceptions of Feasibility of the Tool
Qualitative in-depth interview with providers who used the PREVENT tool. Qualitative content analysis methods were used to summarize key themes related to provider perceptions of the tool and ability to use the tool in routine clinical practice.
Time frame: 3-months
Maintenance of PREVENT Tool as Measured by Provider Perceptions of Ease of Use of the Tool
Qualitative in-depth interview with providers who used the PREVENT tool. Qualitative content analysis methods were used to summarize key themes related to provider perceptions of the tool and ability to use the tool in routine clinical practice.
Time frame: 3-months
Patient's Perceptions of Usability/Acceptability of PREVENT Tool
Semi-structured interviews with adolescent study participants (n=10).
Time frame: 3-months
Parent's Perceptions of Usability/Acceptability of PREVENT Tool
Semi-structured interviews with parents/guardians (n=10) of study participants.
Time frame: 3-months
Impact of PREVENT Tool on Mean Change in Patient's Body Mass Index (BMI)
Collected from patient's medical record. BMI z-score is a standardized calculation accounting age and sex using the Centers for Disease Control and Prevention Growth Charts. A z-score represents the standard deviation from the population mean. A z-score of zero represents the population mean. Mean change in BMI z-score was calculated by subtracting the baseline mean from the follow-up mean for each intervention group. A decrease in z-score is a favorable outcome.
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Time frame: At baseline and 3-months
Impact of PREVENT Tool on Patient's Systolic and Diastolic Blood Pressure
Collected from patient's medical record. Blood pressure is measured in mmHg. 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
Impact of PREVENT Tool on Patient's Cholesterol
Collected from patient's medical record
Time frame: At baseline and 3-months
Impact of PREVENT Tool on Patient's Fasting Blood Glucose
Collected from patient's medical record
Time frame: At baseline and 3-months
Impact of PREVENT Tool on Patient's Attitudes Toward Behavior Change
A survey (6-question) administered to patients will assess attitudes toward and readiness for behavior change. Questions are asked using a 5-point Likert scale (range: 0-5) with a higher score indicating more positive attitudes.
Time frame: At baseline and 3-months
Clinic-level Capacity for Sustainability as Measured by Provider Survey
The Clinical Sustainability Assessment Tool (CSAT) will assess clinic-level readiness and capacity for sustainability of the PREVENT tool. The CSAT tool will examine organization, financial, regulatory and political factors that may influence sustainability. 10 items scored on a 7-point scale, with higher scores indicating greater capacity for sustainment. The average of the 10 items is reported (range 1-7).
Time frame: 3-months