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Guided Physical Activity Counseling for Hypertension in Primary Care

Guided Physical Activity Counseling for Hypertension in Primary Care

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07342543
Enrollment
330
Registered
2026-01-15
Start date
2026-10-01
Completion date
2031-01-01
Last updated
2026-01-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertension, Hypertension Grade I, Subgroup Borderline (WHO), Physical Activity, Prehypertension

Keywords

primary care, physical activity counseling, fitness tracker, physical activity, prehypertension, stage 1 hypertension

Brief summary

The goal of this study is to create easy-to-read physical activity reports and counseling guides for primary care doctors. These tools will use activity data collected over time from wearable fitness trackers. The study will also test how helpful and easy the system is for doctors when talking with patients who have high blood pressure. This approach uses technology that already exists and helps solve problems that make it hard to use in medical care. It also has the potential to reach many people and be low-cost for clinics to use.

Detailed description

There is robust evidence that adopting regular moderate-to-vigorous physical activity (MVPA) can improve blood pressure and reduce CVD risk in patients with hypertension. Accordingly, MVPA counseling is considered first line treatment for patients with pre- and stage 1 hypertension, though rates of counseling in ambulatory care visits for hypertension management remain low. Some health systems have begun incorporating data from wearable activity trackers (e.g., Fitbits) into electronic health records (EHR) to facilitate MVPA counseling, but it is unclear whether sharing these data with providers will change ambulatory care visits or patient behavior. Clinicians have reported myriad barriers to incorporating this technology into clinical care, including that reviewing data takes too much time, is not standardized, takes expertise they do not have, and there is often too much data to be useful. In addition to summarized data, providers may need guidance in how to interpret it, use evidence-based counseling practices, and suggest behavior change strategies based on patients' unique barriers. In the current proposal, investigators will conduct a 3-arm randomized trial to test the efficacy of an expert software system to interpret data from wearables for providers and generate tailored counseling scripts for them incorporating evidence-based communication strategies for primary care. The study team will recruit N=30 primary care providers from UC San Diego primary care clinics and N=300 of their patients with pre- and stage 1 hypertension (PS1H). All patients will receive a wearable Fitbit activity tracker to wear in the 4-6 weeks preceding an ambulatory care visit for PS1H management. Providers will be randomized to receive 1) algorithm-driven counseling guides in EHR with summarize data and tailored counseling scripts based on patient activity levels and barriers (intervention), 2) only summarized data from wearables integrated into EHR (comparison), or 3) no access to patient Fitbit data (control). Patients will continue to wear trackers continuously for 3 months following their ambulatory care visit, and will take at-home blood pressure readings monthly. Investigators hypothesize that patients whose providers are randomized to receive the expert system summary reports will show greater increases in MVPA following ambulatory care visits than those whose providers receive only summarized data and patients in the control group. The study team will also evaluate effects of the counseling guides on blood pressure, doctor-patient communication, and clinical workflow by using time stamps in EHR to estimate visit length. Investigators will also evaluate provider satisfaction with the system through questionnaires and interviews. This study will advance intervention science by creating an intervention tool for providers that has potential for low-cost implementation across a wide range of clinical settings. This will capitalize on the rich data that are increasingly generated by consumer wearables in clinical populations while addressing critical barriers to incorporating this data into clinical care.

Interventions

BEHAVIORALPhysical activity counseling

The personalized data system will use physical activity data from Fitbits to create summary system reports that will guide brief discussions between providers and patients regarding PA during clinic visits. To facilitate discussion, tailored guides for providers randomly assigned to the Intervention Arm will include each of the following elements: a) a visual summary of mean weekly minutes of MVPA over the past 4-6 weeks, b) whether they are meeting clinical guidelines of 150 minutes/week, c) whether their minutes are increasing, decreasing, or generally remaining the same, d) a script for performance feedback, e) questions tailored to whether the patient is increasing or decreasing their activity, f) a script to discuss an appropriate BCT through the lens of shared decision making, and g) a prompt to review the plan. The plan summary will be incorporated in the patient's after visit summary.

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
University of California, San Diego
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

for Providers: 1. Currently work for UC San Diego Health, with a primary appointment in one of the eight primary care clinics 2. Conduct ambulatory care visits for blood pressure management with at least 20 patients with a diagnosis of pre- or stage 1 hypertension Inclusion Criteria for Patients: 1. Have received a diagnosis of pre- or stage 1 hypertension, and/or having SBP 120-139, DBP \<89 2. be receiving care from one of the enrolled providers 3. be currently engaging in \<150 minutes/week of at least moderate intensity exercise (see below) 4. be between age 18 and 80 years 5. not currently taking anti-hypertensive medication 6. able to read, speak, and understand English.

Exclusion criteria

for Providers: 1. planning to leave UCSD Health in the next 18 months 2. participated in the co-design workshops to design the PACE system 3. being unwilling to be randomized to one of the three conditions.

Design outcomes

Primary

MeasureTime frameDescription
Change in Physical Activity Minutes Measured by Fitbit4 monthsChange in physical activity minutes measured by wrist-worn Fitbits in patients who that are assigned to providers receiving the PACE Guides during ambulatory care visits (intervention group) compared to those seeing providers in the comparison or control groups.

Secondary

MeasureTime frameDescription
Demographics (Patient)EnrollmentAge, race, ethnicity, education, income, marital status
Rate Your Plate4 monthsa 24-item tool capturing information regarding fat intake, animal and dairy protein, fruit, vegetables, whole grains, snacks, and sweets.
Social Support for Exercise (SSE)4 monthsQuestionnaire measuring social support specifically in relation to exercise with three subscales (friends, family, rewards/punishments)
Height in centimetersRecorded at ambulatory care visit (4-6 weeks post-enrollment)Height in cm
Medication Use4 monthsUse and dose of medications per medical record
Blood Pressure (at-home)4 monthsPatients will be sent an Omron M10-IT blood pressure cuff for monthly at-home readings. They will be provided with detailed instructions and a link to an AHA video demonstrating proper measurement. Participants will measure BP twice, one minute apart, in a seated position after 5 minutes of rest. They will be instructed to measure at the same time of day each month, and to avoid caffeine or physical activity immediately before measurement. Readings will be shared via Bluetooth and recorded in a log.
Center for Epidemiologic Studies Depression Scale (CES-D)4 months20-item self reported questionnaire designed to measure depressive symptoms, with higher scores indicating possible depression
Perceived Stress Scale (PSS)4 monthsA 10-item scale used to assess stress levels with higher scores indicating greater perceived stress
Pittsburgh Sleep Quality Index4 monthsQuestionnaire used to measure sleep quality
Self-Efficacy for Physical Activity (SE)4 monthsQuestionnaire measuring confidence to become physically active across diverse contexts
Communication and Shared Decision Makingimmediately following ambulatory care visit in clinic (4-6 weeks post enrollment)the CollaboRATE questionnaire measuring patient experience of care, plus the facilitation subscale of the Perceived Involvement in Care scale
Fitbit Adherence4 months% of days Fitbit worn, % of days Fitbit synced within 5 days
Clinical Workflow2 monthsTimestamped user access logs in Epic to approximate visit lengths to assess if using the physical activity counseling guides impacts total visit timed
Consumer Satisfaction Questionnaire (Provider)18-36 months post-enrollmentAssess overall satisfaction/acceptability and suggestions for improvement (intervention arm only)
Follow-up Interview (Provider)18-36 months post-enrollmentA brief 20-minute interview to share experiences with the physical activity counseling guides (intervention arm) or summarized wearable data (comparison arm), and give suggestions for increased efficacy and usability
Demographics (Provider)At enrollmentAge, sex, provider type/degree, specialty, years in clinical practice
Weight in kgRecorded at ambulatory care visit (4-6 weeks post-enrollment)Weight measured in kilograms
Resting blood pressure in clinicRecorded at ambulatory care visit (4-6 weeks post-enrollment)Blood pressure in mm Hg as measured in clinic
Medication adherence4 monthsMedication Adherence Report Scale (MARS-5) is a 5-item questionnaire to assess self-reported adherence to medical regimens with higher scores indicating better adherence
After-visit Questionnaireimmediately following ambulatory care visit in clinic (4-6 weeks post-enrollment)Assesses which topics were discussed during provider visit, including physical activity, goals, behavior change techniques, wearable tracker data, etc.

Contacts

Primary ContactBritta Larsen, PhD
blarsen@health.ucsd.edu858-534-8429

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026