Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03937674 |
Other study ID # |
1257484 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 1, 2019 |
Est. completion date |
December 4, 2020 |
Study information
Verified date |
October 2021 |
Source |
Kaiser Permanente |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial 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.
Description:
This project file refers to Aim 2 and Aim 3 of the National Heart, Lung, and Blood Institute
(NHLBI) grant. Aim 1 is registered in clinical trials.gov under a separate project file
number, NCT03225521.
Many of the risk factors for heart disease are behavioral, such as physical inactivity,
smoking, and diets high in saturated and trans-fats. Prevention programs are effective at
helping patients make the initial lifestyle changes needed to reduce their risks, but
patients often struggle to maintain those changes.
In this study the investigators propose to develop a novel mHealth application for supporting
maintenance of physical activity. Kaiser Permanente Washington Health Research Institute
(KPWHRI) will conduct a prospective study to test the application among Kaiser Permanente
Washington (KPW) men and women with blood pressure that falls in the stage 1 hypertension
range. By taking advantage of the frequent interactions that individuals have with their
mobile phones throughout the day, the investigators will design and evaluate an adaptive,
personalized application that (1) keeps patients reminded of their health goals and
motivations; (2) provides actionable ideas for how patients can be active right now, given
their current context; and (3) helps patients plan and reflect on their physical activity to
enable creation of robust and sustainable physical-activity habits. In addition, the
application will adapt its functioning for each patient over time in order to minimize user
burden while optimizing its ability to encourage physical activity and maintain engagement
with the intervention.
Through three Specific Aims-intervention development, intervention optimization, and pilot
evaluation-this project will contribute: (1) understanding of how burden and intervention
engagement change over time and how they are influenced by intervention delivery and
patients' behavior and context; (2) generalization of learning algorithms that are used to
personalize web content based on users' characteristics and past behavior for use in mHealth
interventions for behavioral maintenance; and (3) new insights about how reflective and
automated self-regulatory processes interact over time to support behavioral maintenance and
how to optimally recruit these processes through an mHealth intervention.
Aim 2: Optimize intervention and investigate influences on participant response.
The investigators will conduct a three-month micro-randomized pilot study within-subject
field study with 40-50 participants with blood pressure readings that fall in the stage 1
hypertension range. Goals for this aim include (1) perform in-situ usability and
user-experience testing of the intervention; (2) finalize and tune the intervention's
learning algorithms; (3) develop initial decision rules for when and for whom individual
intervention components will be provided; and (4) begin to investigate how participants'
physical activity, burden, and patterns of engagement with the intervention are affected by
different intervention features and the context of use.
Aim 3: Pilot the personalized just-in-time adaptive mHealth intervention over 9 months The
investigators will conduct a 9 month-long single-arm pilot study of adaptive mHealth
intervention for physical-activity maintenance with 50-60 participants with blood pressure
readings that falls in the stage 1 hypertension range. The investigators will (1) evaluate
the feasibility and acceptability of the intervention for use over the course of nine months;
(2) assess the ability of the learning algorithms to personalize intervention delivery over
time; and (3) investigate how cardiac patients' responses to the intervention-physical
activity, burden, and engagement-change over time as functions of time-varying application
use and time-varying contextual factors. The study will also enable the investigators to
gather empirical evidence to plan a follow-up RCT to test the efficacy of the intervention.
Development of effective mHealth interventions requires advancements in and collaboration
between computer science, human-computer interaction, and behavioral and health sciences.
This project makes contributions to all three disciplines and deepens understanding of how to
design personalized, adaptive interventions that help individuals not only to adopt but also
sustain health-promoting behavior changes over the long-term.
Aim 2 and Aim 3 activities will take place sequentially. The recruitment and participant
experience will be almost identical. Differences beyond scientific objectives between the Aim
2 and Aim 3 groups is the time each group is enrolled in the testing trial. Slight
modifications are made to materials due to the difference in enrollment time.
No hypotheses will be tested. The purpose of both studies is to develop and test for
usability and acceptability of an mHealth application that supports maintenance of physical
activity of patients with high blood pressure.