Developing Dynamic Theories for Behavior Change
Operationalizing Behavioral Theory for mHealth: Dynamics, Context, and Personalization
1 other identifier
interventional
97
1 country
1
Brief Summary
The aim of this research is to evaluate the efficacy of contextually tailored activity suggestions and activity planning for increasing physical activity among sedentary adults.
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 Jun 2020
Typical duration for not_applicable
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
July 31, 2019
CompletedFirst Posted
Study publicly available on registry
August 2, 2019
CompletedStudy Start
First participant enrolled
June 10, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2022
CompletedOctober 24, 2022
October 1, 2022
2.2 years
July 31, 2019
October 20, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
30 minute step count
step count within the 30-minute window after each available decision point when activity suggestions are randomized. Assessed using the Fitbit Versa Activity tracker.
30 minutes
Daily step count
Daily step count on the day of treatment. Assessed using the Fitbit Versa activity tracker.
24 hours
Secondary Outcomes (1)
Moderate or Vigorous Physical Activity (MVPA)
24 hours
Study Arms (1)
HeartSteps Intervention
EXPERIMENTALFor activity suggestions, at each available decision time, each participant is randomly assigned to either receive an activity suggestion or not.
Interventions
HeartSteps is a smartphone based mHealth intervention that contains the following intervention components: (1) contextually-tailored suggestions for activity; (2) motivational messages aimed at keeping individuals motivated to be active; (3) planning of the next week's activity; and (4) adaptive weekly activity goals. Activity suggestions provide individuals with suggestions for how they can be active, and are tailored based on time of day, user's location, day of the week (weekend/weekday), and weather. Motivational messages are delivered to individuals via a push notification. Activity planning asks users to create a plan of how they will be active in the coming week. Participants are prompted to plan once a week. Each week, as part of the weekly planning, HeartSteps suggests an activity goal for the coming week based on their activity levels the previous week. Participants can edit the suggested goal, and the system-suggested goals top out at 150 minutes of activity per week.
Eligibility Criteria
You may qualify if:
- Individuals are able to participate in mild or moderate physical activity
- They are competent to give informed consent
- Individuals are regular (daily) users of a smartphone (iPhone or Android)
- Individuals are willing to participate in the study protocols, including regularly carrying a mobile phone, using the HeartSteps application, answering phone-based questionnaires, and tracking their physical activity using the Fitbit Versa activity tracker
- Body Mass Index (BMI, weight in kilograms (kg) divided by height in meters squared) between 25--45
- Able to walk one mile without significant discomfort.
You may not qualify if:
- Being mentally incapable of giving informed consent
- Current enrollment in a formal exercise program
- Psychiatric disorder which limits patients' ability to follow the study protocol, including psychosis or dementia
- Orthopedic problems that prevent participation in a walking program
- Significant peripheral neuropathy
- Severe cognitive impairment
- Pregnancy
- Non-English speaking.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Southern Californialead
- University of California, San Diegocollaborator
- Arizona State Universitycollaborator
- Kaiser Permanentecollaborator
- Northeastern Universitycollaborator
- University of Massachusetts, Amherstcollaborator
Study Sites (1)
University of Southern California
Los Angeles, California, 90032, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Donna Spruijt-Metz, MFA, PhD
University of Southern California
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Research Professor
Study Record Dates
First Submitted
July 31, 2019
First Posted
August 2, 2019
Study Start
June 10, 2020
Primary Completion
August 31, 2022
Study Completion
August 31, 2022
Last Updated
October 24, 2022
Record last verified: 2022-10
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- The investigators will make de-identified versions of the data, and meta data describing these data sets, available after the main papers have been written and no later than 1 year after the close of the project. The source code for the HeartSteps system will be made available in a publicly accessible repository on github.com. At the close of the study, the de-identified data, analyzed data, and metadata could be mined by other researchers for understanding human behavior on many levels. Data from all secondary analyses datasets will be de-identified a priori where this is possible, and the de-identified data will be made available via the project website after publication of the main outcomes papers, or at one year after the close of the study, whichever comes first.
- Access Criteria
- The model specification files, and documentation for this project will be made available on http://github.com (or similar open-source code-sharing service) under a permissive BSD-style open-source license ( http://www.linfo.org/bsdlicense.html). Similarly, design documents, images and descriptions of new modeling techniques will be made available to the public via the project website under a Creative Commons Attribution license (http://creativecommons.org). These licenses will allow others to re-use, re-distribute, and produce derivatives of the work royalty-free and with minimal conditions. The investigators plan to release documentation along with or shortly after the publication of related research articles.
A de-identified dataset (i.e., containing no raw location/GPS information) will be generated and made available to the research community. The dataset will be stripped of all codes or any other information that could be linked back to the original data or to an individual participant. Prospective users of this dataset must agree to a confidentiality agreement, meaning that they must get permission from the HeartSteps Primary Investigator to share the data with anyone else. All external requests for data will be directed to Dr. Donna Spruijt-Metz. Prospective investigators will submit a written proposal to the HeartSteps Investigator Team outlining the question they will investigate, the specific variables that they need to answer that question, their analytic plan for answering that question, and documentation of sufficient Institutional Review Board oversight (e.g., approval or exemption). Investigators will also need to sign a confidentiality agreement.