The goal of this factorial randomized trial is to examine the independent and synergistic efficacies of two mobile health technology interventions in people with chronic heart failure. The first intervention involves the use of multiple consumer mHealth apps and sensor devices (MyApps) for heart failure self-care (maintenance, monitoring, and management). The second intervention is a program of tailored text messages (Text4HF) targeting modifiable behavioral factors associated with heart failure self-care non-adherence. The main questions this study aims to answer are: 1. Can the use of consumer mHealth apps and devices (MyApps) improve heart failure self-care and reduce days lost due to cardiovascular hospitalization or death for any cause? 2. Can a program of individually tailored text messages (Text4HF) improve heart failure self-care and reduce the days lost due to cardiovascular hospitalization or death for any cause? 3. Can MyApps and Text4HF combined lead to greater improvements in heart failure self-care and days lost due to cardiovascular hospitalization or death for any cause
Heart failure (HF) remains one of the most frequent principal diagnoses for hospitalization and a leading cause of death in the United States. Up to 65% of HF readmissions are the result of insufficient self-care. Existing HF self-care interventions delivered face-to-face or via telephone have had limited impact and reach. They require significant provider time and are not always accessible to patients. There is an urgent need for accessible and scalable interventions that are designed to assist patients with HF self-care while in the community to reduce HF readmissions. Consumer mobile health (mHealth) technologies (e.g., mobile apps and sensor devices) hold promise for promoting HF self-care and expanding intervention delivery. However, their efficacy remains largely underexplored. To address this gap, our team developed a patient-centered HF self-care intervention (iCardia4HF) that combines the use of three consumer mobile health apps and connected health devices (MyApps) with a program of individually tailored text messages (Text4HF) targeting modifiable behavioral factors to promote HF self-care adherence and improve clinical outcomes. This study aims to conduct a fully powered, 2x2 factorial randomized controlled trial to determine the independent and combined efficacy of the two iCardia4HF intervention components (MyApps and Text4HF) at 6 months, as well as their maintenance efficacy at 6 months post-intervention. A total of 360 patients with HF will be recruited and randomized to one of four conditions for 12 months: (1) Usual care, (2) Text4HF, (3) MyApps, or (4) MyApps\&Text4HF. Specific aims are: Aim 1: Determine the independent and combined efficacies of MyApps and Text4HF at 6-months on the primary outcome of days lost due to cardiovascular hospitalization or death for any cause, and secondary outcomes of HF self-care and health status. Hypothesis 1a: MyApps and Text4HF will have significant main effects on the primary outcome at 6 months. Hypothesis 1b: MyApps and Text4HF will have significant main effects on objectively assessed measures of HF self-care adherence, self-reported HF self-care, and health status, at 6 months. Aim 2: Determine the independent and combined maintenance efficacies of MyApps and Text4HF at 12 months (6 months post-intervention). Hypothesis 2a: Text4HF and MyApps will have significant main effects on the primary outcome at 12 months. Hypothesis 2b: Text4HF and MyApps will have significant main effects on objectively assessed measures of HF self-care adherence, self-reported HF self-care, and health status, at 12 months. Aim 3: Investigate the mediating effect of intervention targets (health beliefs, HF knowledge, self-efficacy), and moderating effect of multi-level determinants of HF self-care adherence on the efficacy of the intervention, across individual (e.g., age, race/ethnicity), illness-related (e.g., depression, comorbidities), and socioeconomic factors (e.g., insurance, income, employment, and access to care). Impact statement: This study will provide important new knowledge that will critically shape our understanding about the potential of commercially available mHealth technologies and tailored text messages to improve HF self-care adherence and reduce hospital readmissions in patients with HF.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
360
Behavioral text messages about heart failure self-care
consumer mobile health apps and devices for heart failure self-care
Consumer mobile health apps and devices supplemented with behavioral text messages for heart failure self-care
Participants assigned to the enhanced usual care group will receive (1) standard care, (2) patient education about HF self-care, and (3) three connected health devices (Withings weight scale and blood pressure monitor, and Fitbit activity tracker with Fitbit mobile app).
Rush University Medical Center
Chicago, Illinois, United States
RECRUITINGUniversity of Illinois Hospital & Health Sciences System
Chicago, Illinois, United States
RECRUITINGPercentage of days lost due to unplanned cardiovascular hospitalizations or death from any cause
Hospitalization is defined as hospital admission resulting in an overnight stay where the length of stay is at least 24 hours. Events leading to emergency department visit only with a length of stay under 24 hours will not be classified as hospitalization. For a hospitalization to be considered as unplanned the patient must present new symptoms and/or worsening of existing symptoms with the need for immediate admission in a hospital for intensified care. A hospitalization will be considered "cardiovascular" when it is due to cardiovascular causes which includes but is not limited to: HF deterioration, acute myocardial infarction, arrhythmia, HF, pulmonary embolism, cerebrovascular disease (e.g., stroke), severe bleeding, endocarditis, etc.
Time frame: 6 months
Percentage of days lost due to unplanned cardiovascular hospitalizations or death from any cause
Hospitalization is defined as hospital admission resulting in an overnight stay where the length of stay is at least 24 hours. Events leading to emergency department visit only with a length of stay under 24 hours will not be classified as hospitalization. For a hospitalization to be considered as unplanned the patient must present new symptoms and/or worsening of existing symptoms with the need for immediate admission in a hospital for intensified care. A hospitalization will be considered "cardiovascular" when it is due to cardiovascular causes which includes but is not limited to: HF deterioration, acute myocardial infarction, arrhythmia, HF, pulmonary embolism, cerebrovascular disease (e.g., stroke), severe bleeding, endocarditis, etc.
Time frame: 12 months
Number of patients with unplanned cardiovascular hospitalizations
Number of patients with one or more unplanned cardiovascular-related hospitalizations
Time frame: 6 and 12 months
Mean number of unplanned cardiovascular hospitalizations
Mean number of unplanned hospital admissions for cardiovascular reasons
Time frame: 6 and 12 months
Unplanned heart failure hospitalizations
Number of patients with one or more hospitalizations due to acute decompensated heart failure
Time frame: 6 and 12 months
Mean number of unplanned heart failure hospitalizations
Mean number of unplanned hospital admissions due to acute decompensated heart failure
Time frame: 6 and 12 months
Emergency Room visits
Mean number of emergency room visits
Time frame: 6 and 12 months
All-cause mortality
Number of deaths from any cause
Time frame: 6 and 12 months
Medication adherence - Dose count
Percentage of prescribed number of doses taken. Assessed throughout the study with the AARDEX MEMS Cap Smart Pill Bottle.
Time frame: 6 and 12 months
Medication adherence - Dose days
Percentage of days the correct number of doses were taken. Assessed throughout the study with the AARDEX MEMS Cap Smart Pill Bottle.
Time frame: 6 and 12 months
Weighing adherence
Percentage of days patients used the Withings smart scale to measure their weight
Time frame: 6 and 12 months
Blood pressure monitoring adherence
Percentage of days patients used the Withings smart blood pressure cuff to measure their blood pressure
Time frame: 6 and 12 months
Steps
Mean number of steps per day assessed with a Fitbit activity tracker
Time frame: 6 and 12 months
Moderate-to-vigorous physical activity (MVPA) minutes
Average number of MVPA minutes per day assessed with a Fitbit activity tracker
Time frame: 6 and 12 months
Self-care maintenance
Mean change in self-care maintenance scores from baseline, assessed with the Self-care Heart Failure Index v 7.2. Scores range from 0 to 100. Higher scores indicate better self-care maintenance.
Time frame: 3, 6, 9, and 12 months
Symptom perception
Mean change in symptom perception scores from baseline, assessed with the Self-care Heart Failure Index v 7.2. Scores range from 0 to 100. Higher scores indicate better symptom perception.
Time frame: 3, 6, 9, and 12 months
Self-care management
Mean change in self-care management scores from baseline, assessed with the Self-care Heart Failure Index v 7.2. Scores range from 0 to 100. Higher scores indicate better self-care management
Time frame: 3, 6, 9, and 12 months
Self-care efficacy
Mean change in self-care efficacy scores from baseline, assessed with the Self-care Heart Failure Index v 7.2. Scores range from 0 to 100. Higher scores indicate better self-care efficacy.
Time frame: 3, 6, 9, and 12 months
Health Status
Mean change in health status scores from baseline. Health Status will be assessed with the Kansas City Cardiomyopathy Questionnaire, which contains 23-items that can be quantified into five subscales: physical limitations, symptoms (frequency, severity, and change over time), quality of life (QoL), social interference, and self-efficacy. Lower scores indicate worse health status
Time frame: 3, 6, 9, and 12 months
Heart Failure Knowledge
Mean change in heart failure knowledge score from baseline. Assessed with the Dutch Heart Failure Knowledge Questionnaire. Higher scores indicate better knowledge.
Time frame: 3, 6, 9, and 12 months
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