- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04110756
ChangeGradients: Promoting Adolescent Health Behavior Change
Promoting Adolescent Health Behavior Change With Clinically Integrated Sample-Efficient Policy Gradient Methods
As most adolescents visit a healthcare provider once a year, health behavior change interventions linked to clinic-based health information technologies hold significant promise for improving healthcare quality and subsequent behavioral health outcomes for adolescents (Baird, 2014, Harris, 2017). Recognizing the potential to leverage recent advances in machine learning and interactive narrative environments, the investigators are now well positioned to design health behavior change systems that extend the reach of clinicians to realize significant impacts on behavior change for adolescent preventive health.
The proposed project centers on the design, development, and evaluation of a clinically-integrated health behavior change system for adolescents. CHANGEGRADIENTS will introduce an innovative reinforcement learning-based feedback loop in which adolescent patients interact with personalized behavior change interactive narratives that are dynamically personalized and realized in a rich narrative-centered virtual environment. CHANGEGRADIENTS will iteratively improve its behavior change models using policy gradient methods for Reinforcement Learning (RL) designed to optimize adolescents' achieved behavior change outcomes. This in turn will enable CHANGEGRADIENTS to generate more effective behavior change narratives, which will then lead to further improved behavior change outcomes. With a focus on risky behaviors and an emphasis on alcohol use, adolescents will interact with CHANGEGRADIENTS to develop an experiential understanding of the dynamics and consequences of their alcohol use decisions. The proposed project holds significant transformative potential for (1) producing theoretical and practical advances in how to realize significant impacts on adolescent health behavior change through novel interactive narrative technologies integrated with policy-based reinforcement learning, (2) devising sample-efficient policy gradient methods for RL that produce personalized behavior change experiences by integrating theoretically based models of health behavior change with data-driven models of interactive narrative generation, and (3) promoting new models for integrating personalized health behavior change technologies into clinical care that extend the effective reach of clinicians.
Study Overview
Status
Intervention / Treatment
Detailed Description
STUDY AIMS:
I. Design, develop, and iteratively refine a policy-based reinforcement learning behavior change system for preventive adolescent health (Part 1).
II. Investigate the impact of a clinically integrated sample-efficient policy gradient-based behavior change system on adolescent behavior (Part 2).
The project will culminate with an investigation of the behavioral effects of the CHANGEGRADIENTS system using adolescent patients recruited from two outpatient primary care clinics within the UCSF Department of Pediatrics: Mt. Zion Pediatrics and the Adolescent/Young Adult Clinic. It is hypothesized that adolescents who interact with CHANGEGRADIENTS will reduce number of days of alcohol use, reduce binge drinking, and increase self-efficacy to engage in healthy behavior and avoid risky substance use.
It is anticipated that CHANGEGRADIENTS will provide a testbed for a broad range of health behavior change research and serve as the foundation for next generation personalized preventive healthcare through computationally enabled behavior change that is designed to be tightly integrated into clinical practice workflow. By taking advantage of the high degree of adaptive interactivity offered by its personalized behavior change environment, CHANGEGRADIENTS holds significant potential for creating compelling interactions that promote self-efficacy and engagement in healthy lifestyle behaviors to prevent cancer through improving cancer-related behaviors and risk factors.
PART 1 of the study (Focus Group) has closed to enrollment.
PART 2 of the study (Randomized Clinical Trial) is planned for enrollment upon finalization of data collected in Part 1.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Elizabeth M Ozer, PhD
- Phone Number: 415-819-6337
- Email: elizabeth.ozer@ucsf.edu
Study Contact Backup
- Name: Alison S Giovanelli, PhD
- Phone Number: 805-405-0772
- Email: alison.giovanelli@ucsf.edu
Study Locations
-
-
California
-
San Francisco, California, United States, 94107
- Recruiting
- University of California San Francisco Adolescent and Young Adult Medicine Clinic
-
Principal Investigator:
- Elizabeth M Ozer, PhD
-
Contact:
- Alison S Giovanelli, PhD
- Phone Number: 805-405-0772
- Email: alison.giovanelli@ucsf.edu
-
Contact:
- Elizabeth M Ozer, PhD
- Phone Number: 415-502-4851
- Email: elizabeth.ozer@ucsf.edu
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Adolescents between the ages of 15 and 17 years of age
- Report current alcohol use
- Presenting for a well-visit at UCSF Pediatric primary care clinics (the Mt. Zion Pediatric Primary Care Practices at UCSF and The Adolescent/Young Adult Clinic at UCSF)
Exclusion Criteria:
- Non-English speakers
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Treatment (ChangeGradients)
Adolescent participants will be introduced to the intervention through a brief introductory video trailer during their clinic visit and receive a link that enables them to engage with CHANGEGRADIENTS interactive narratives at home over a course of four weeks (i.e., one per week) on a personal computing device (e.g., laptop or tablet).
|
CHANGEGRADIENTS is an interactive web-based tool which includes narrative-centered behavior change experiences that are dynamically generated.
Other Names:
|
|
No Intervention: No Intervention (Usual Care)
Participants will receive usual care at the clinic.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean scores on assessment of Alcohol Use
Time Frame: 30 days
|
Standard validated questions taken from the "Alcohol and other Drug Use" scale of the Youth Risk Behavior Surveillance Survey (CDC surveillance system that monitors adolescent risk behavior) will be administered.
Measures include quantity and frequency of use and safety (drinking and driving), Current use of alcohol measured by quantity and frequency of use in the past 30 days (Centers for Disease Control and Prevention, 2018).
Scale ranges vary based on questions and questions are scored individually.
Responses to questions about alcohol use in general (past 12 months and ever) are scored as No = 0 and Yes = 1.
Values on questions about alcohol use in the past 30 days are scored on a scale from 0-7, with higher values corresponding to greater alcohol consumption.
Questions about drinking and driving are scored on a scale from 0-5 with higher numbers corresponding to more frequent instances of driving/being driven by others after alcohol was consumed.
|
30 days
|
|
Mean score on a Self-efficacy tool developed by Drs Elizabeth Ozer and Dr. Albert Bandura
Time Frame: 30 days
|
Self-efficacy will be measured using a tool developed by Drs Elizabeth Ozer and Dr. Albert Bandura designed for this study.
The tool assesses confidence in avoiding drinking in various scenarios.
Participants are asked to rate level of confidence in drinking avoidance across various situations.
Responses are rated on a scale of 0 to 10, with a rating of 0 indicating 'not at all confident', a rating of 5 indicating 'moderately confident', and rating of 10 indicating t 'completely confident'.
Scenarios include: "When a close friend offers you a drink," and, "When you feel depressed or nervous."
Scores on this assessment are calculated by summing participant responses and dividing by the number of questions to obtain a mean self-efficacy score.
|
30 days
|
|
Quality of Care: Adolescent Report of the Visit (AROV)
Time Frame: 1 day, immediately following baseline clinic visit
|
The Adolescent Report of the Visit (AROV) is a validated measure to assess the quality of care delivered to adolescents (Ozer, 2004), which has been utilized in clinics nationally and internationally (Sanci, 2015).
The investigators are specifically using questions from this measure assessing provider rates of screening and counseling adolescents for alcohol use during adolescent visits.
All questions are scored separately on a binary scale, with response scoring as No = 0 and Yes = 1.
An answer of Yes to any item indicates higher quality of care.
|
1 day, immediately following baseline clinic visit
|
Collaborators and Investigators
Investigators
- Principal Investigator: Elizabeth Ozer, PhD, University of California, San Francisco
Publications and helpful links
General Publications
- Baird A, Nowak S. Why primary care practices should become digital health information hubs for their patients. BMC Fam Pract. 2014 Nov 25;15:190. doi: 10.1186/s12875-014-0190-9.
- Harris SK, Aalsma MC, Weitzman ER, Garcia-Huidobro D, Wong C, Hadland SE, Santelli J, Park MJ, Ozer EM. Research on Clinical Preventive Services for Adolescents and Young Adults: Where Are We and Where Do We Need to Go? J Adolesc Health. 2017 Mar;60(3):249-260. doi: 10.1016/j.jadohealth.2016.10.005. Epub 2016 Dec 20.
- Ozer EM, Bandura A. Mechanisms governing empowerment effects: a self-efficacy analysis. J Pers Soc Psychol. 1990 Mar;58(3):472-86. doi: 10.1037//0022-3514.58.3.472.
- Ozer EM, Adams SH, Orrell-Valente JK, Wibbelsman CJ, Lustig JL, Millstein SG, Garber AK, Irwin CE Jr. Does delivering preventive services in primary care reduce adolescent risky behavior? J Adolesc Health. 2011 Nov;49(5):476-82. doi: 10.1016/j.jadohealth.2011.02.011. Epub 2011 Jun 8.
- Sanci L, Chondros P, Sawyer S, Pirkis J, Ozer E, Hegarty K, Yang F, Grabsch B, Shiell A, Cahill H, Ambresin AE, Patterson E, Patton G. Responding to Young People's Health Risks in Primary Care: A Cluster Randomised Trial of Training Clinicians in Screening and Motivational Interviewing. PLoS One. 2015 Sep 30;10(9):e0137581. doi: 10.1371/journal.pone.0137581. eCollection 2015.
- Ozer EM, Adams SH, Lustig JL, Millstein SG, Wibbelsman CJ, Babb J. The effect of preventive services on adolescent behavior (abstract). Pediatric Research. 2004;53(suppl. 4, pt. 2):265A.
- Ozer EM. The impact of childcare responsibility and self-efficacy on the psychological health of working mothers. Psychology of Women Quarterly. 1995;19:315-35.
- Ozer E, Rowe J, Tebb K, Culbertson K, Berna M, Jasik C, et al. A self-adaptive personalized behavior change system for adolescent preventive care. The Indian Journal of Pediatrics, Special Supplement The International Association for Adolescent Health, 11th World Congress on Adolescent Health, 27-29 October, 2017, New Delhi, India2017. p. SS-1.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 19-28893
- R01CA247705 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Alcohol Drinking
-
University of North Carolina, Chapel HillNational Institute on Alcohol Abuse and Alcoholism (NIAAA)CompletedDrinking Behavior | Adolescent Behavior | Drinking, Alcohol | Alcohol Drinking, AdolescentUnited States
-
University of Auckland, New ZealandTe Hiringa Hauora/Health Promotion AgencyCompletedDrinking, Alcohol | Consumption, AlcoholNew Zealand
-
Penn State UniversityNot yet recruiting
-
Boston University Charles River CampusActive, not recruiting
-
The Hong Kong Polytechnic UniversityNot yet recruitingHazardous Drinking | Harmful Alcohol Use
-
Binghamton UniversityNot yet recruitingUnderage Drinking | Drinking, Teen | Adolescent Alcohol UseUnited States
-
Butler HospitalNational Institute of General Medical Sciences (NIGMS)CompletedDrinking, AlcoholUnited States
-
The University of Hong KongRecruitingmHealth Intervention | AlcoholHong Kong
-
Real Prevention, LLCCompletedUnderage Drinking | Alcohol Use, UnderageUnited States
-
Universidad de GranadaCompletedExercise | Drinking, AlcoholSpain