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Technology-Based Intervention to Promote Heart Health After Cardiac Rehab (Mobile4Heart)

A Technology-Based Adaptive Intervention to Promote Cardiovascular Health After Completion of Cardiac Rehabilitation (Mobile4Heart)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03446313
Acronym
Mobile4Heart
Enrollment
60
Registered
2018-02-26
Start date
2018-02-28
Completion date
2019-04-05
Last updated
2025-04-10

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

Conditions

Cardiovascular Diseases, Ischemic Heart Disease, Systolic Heart Failure, Unstable Angina

Brief summary

The purpose of this study is to determine whether using a mobile app increases adherence to a heart healthy prescription after discharge from a cardiac rehab program.

Detailed description

Ongoing maintenance of physical activity after cardiac rehab is an important part of preventing secondary cardiac events in patients with ischemic heart disease. Our central hypothesis is that monitoring and promotion of health-related behaviors by increasing patient-provider communication through a mobile device after discharge from cardiac rehab increased adherence to a heart healthy prescription over time. Participants will be randomly assigned to use a mobile app or serve as the control group. All participants will have an activity tracker to track their activity for two months.

Interventions

BEHAVIORALMovn Mobile App

The Movn app will have each participant's personalized instructions for post-cardiac rehab integrated into it including medication reminders, physical activity prompts, educational materials, and patient-reported outcomes.

Sponsors

University of California, San Francisco
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

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

Inclusion criteria

* At least 18 years of age * History of cardiovascular disease that qualified patient for cardiac rehab (i.e. ischemic heart disease, history of unstable angina, systolic heart failure with ejection fraction at 35% or less, and Class II to IV symptoms, coronary artery bypass graft surgery, valve replacement) * Own a smartphone or tablet

Exclusion criteria

* Cognitive impairment * Lack of English proficiency/literacy * Clinical conditions including: unstable arrhythmias, aortic stenosis, thrombophlebitis, dissecting aneurysm, symptomatic anemia, active infection, uncontrolled hypertension (resting diastolic \> 100 mmHg, systolic \> 180 mmHg), decompensated heart failure NYHA class 3-4, current unstable angina, 2nd or 3rd degree heart block, or uncontrolled high grade exercise-induced ventricular ectopy

Design outcomes

Primary

MeasureTime frameDescription
Steps Per DayTwo monthsPhysical activity will be measured by steps per day using activity tracker.
6MWT2 monthsPhysical activity will be measured by a six minute walk test.

Secondary

MeasureTime frameDescription
PHQ-92 monthsDepression will be measured by the Patient Health Questionnaire-9 (PHQ-9). Scores range from 0 (lowest) to 27 (highest), higher score associated with moderate to severe depression.
Exercise Self-Efficacy Scale (EXSE)2 monthsSelf-efficacy will be measured by the Exercise Self-Efficacy Scale (EXSE). Scores can range from 0 (lowest) to 100 (highest) with 0 indicating low self-efficacy and 100 indicating high self-efficacy.
Acceptability2 monthsSatification survey, scored 0 (lowest) to 5 (highest), higher score associated with greater satisfaction

Countries

United States

Participant flow

Participants by arm

ArmCount
MVN Group
The intervention group received (1) a Charge 2 (Fitbit Inc) to record step counts, (2) a Movn mobile app to record exercise, and (3) push-through motivational PA prompts and educational messages related to CVD management. Messages were sent from the study team through the Movn app as a push notification 3 times per week on random days between 9 AM and 6 PM to provide positive feedback and additional motivation for PA. These 1- and 2-way messages were based on the American Heart Association Simple 7 principles \[24\] and prompted participants to engage in PA, keep healthy eating habits, or track their medication use. Additionally, participants could use the Movn app to record daily weight, blood pressure, heart rate, medication use, and other exercise (eg, swimming, biking) not captured by the Fitbit device. Every time they chose to record any of these other measures, they were prompted to complete this information through a push notification from the app. Finally, mHealth participants had the ability to report any cardiovascular symptoms through the Movn app. If the participant reported shortness of breath or chest pain, a message prompted them with a button to call 911. The study team triaged participant entries once a day.
26
Usual Care
Participants in the control group were provided a basic pedometer (Walking 3D, IceFox) and paper-and-pencil diary to record daily step counts. They were asked to fasten the pedometer around their waist or to place it in their pants pocket during all waking hours. All participants received a phone call (or text message if in the intervention group) 3 days following enrollment to answer any questions regarding the study and verify adherence to the assigned regimen. After 1 month of participation, participants received a follow-up phone call or text sent by the study staff.
25
Total51

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyDiagnosed with terminal cancer10
Overall StudyExcluded from analysis11
Overall StudyFailed primary screening30
Overall StudyLost to Follow-up12

Baseline characteristics

CharacteristicMVN GroupUsual CareTotal
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
15 Participants14 Participants29 Participants
Age, Categorical
Between 18 and 65 years
11 Participants11 Participants22 Participants
Age, Continuous66.7 years
STANDARD_DEVIATION 8.6
66.8 years
STANDARD_DEVIATION 8.7
66.8 years
STANDARD_DEVIATION 8.7
Ethnicity (NIH/OMB)
Hispanic or Latino
1 Participants2 Participants3 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
25 Participants23 Participants48 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
3 Participants1 Participants4 Participants
Race (NIH/OMB)
Black or African American
1 Participants0 Participants1 Participants
Race (NIH/OMB)
More than one race
1 Participants1 Participants2 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants1 Participants3 Participants
Race (NIH/OMB)
White
19 Participants22 Participants41 Participants
Region of Enrollment
United States
26 participants25 participants51 participants
Sex: Female, Male
Female
6 Participants5 Participants11 Participants
Sex: Female, Male
Male
20 Participants20 Participants40 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 320 / 28
other
Total, other adverse events
0 / 320 / 28
serious
Total, serious adverse events
1 / 320 / 28

Outcome results

Primary

6MWT

Physical activity will be measured by a six minute walk test.

Time frame: 2 months

ArmMeasureValue (MEAN)Dispersion
MVN Group6MWT430 metersStandard Error 112
Usual Care6MWT429 metersStandard Error 97
Primary

Steps Per Day

Physical activity will be measured by steps per day using activity tracker.

Time frame: Two months

ArmMeasureValue (MEAN)Dispersion
MVN GroupSteps Per Day8860 Steps/dayStandard Deviation 5334
Usual CareSteps Per Day6633 Steps/dayStandard Deviation 4684
Secondary

Acceptability

Satification survey, scored 0 (lowest) to 5 (highest), higher score associated with greater satisfaction

Time frame: 2 months

Population: Surveys were given to participants in the intervention group who agreed to participate in individual interviews.

ArmMeasureGroupValue (MEAN)Dispersion
MVN GroupAcceptabilityFitbit device4.83 Score on a scaleStandard Deviation 0.41
MVN GroupAcceptabilityMovn app4.5 Score on a scaleStandard Deviation 0.71
Secondary

Exercise Self-Efficacy Scale (EXSE)

Self-efficacy will be measured by the Exercise Self-Efficacy Scale (EXSE). Scores can range from 0 (lowest) to 100 (highest) with 0 indicating low self-efficacy and 100 indicating high self-efficacy.

Time frame: 2 months

Population: Total scores for depressive symptoms and exercise self-efficacy were examined from baseline to 2 months. We also examined these variables as possible covariates related to the PA and 6MWT results.

ArmMeasureValue (MEAN)
MVN GroupExercise Self-Efficacy Scale (EXSE)10 score on a scale
Usual CareExercise Self-Efficacy Scale (EXSE)9.9 score on a scale
Secondary

PHQ-9

Depression will be measured by the Patient Health Questionnaire-9 (PHQ-9). Scores range from 0 (lowest) to 27 (highest), higher score associated with moderate to severe depression.

Time frame: 2 months

ArmMeasureValue (MEAN)
MVN GroupPHQ-91 score on a scale
Usual CarePHQ-92 score on a scale

Source: ClinicalTrials.gov · Data processed: Feb 15, 2026