Heart failure (HF) is a progressive disease that affects 6.5 million Americans and is projected to reach 10 million by 2020. Presently, treatments for HF are largely comprised of drug therapies targeting pathophysiology and self-administered therapies that require patients to learn, accurately recall and routinely execute complex self-care practices. HF patients are expected to monitor their weight, diet and manage their medications, and are also required to recognize, monitor and report HF related symptoms. However, adopting self-care behaviors are often challenging for patients due to concomitant cognitive impairments, as shown in 30% to 80% of HF patients; a condition which is often complicated by insufficient social support. Multiple studies have shown a direct relationship between cognitive deficits and difficulty with self-care. Thus, there is currently an urgent unmet need for novel patient-centered interventions that are easy to use by older adults with HF that suffer cognitive difficulties and lack social support.~In the current application, investigators propose to elaborate upon, reconstruct and advance to pivotal trial readiness a recently validated mobile application (HeartMapp), designed for the ecological momentary assessment and treatment of individuals with HF. Presently, HeartMapp includes physiological modules (PM) that support self-monitoring and exercises that promote heart health, and cognitive modules (CM) that train participants to enhance cognitive functions. The Posit Science Corporation team of developer and neuroscientists will closely collaborate with investigators at University of South Florida (Drs. Athilingam and Labrador), inventors of the initial version of HeartMapp, to include a clinician-facing dashboard and reporting utility comprised of both PM and CM performance and progress tracking metrics. This Point-of-Care (POC) device will also aid clinical studies of cardiovascular, lung, and blood diseases and disorders by providing continuous monitoring data collected remotely to serve as an open channel between patients and clinicians. A recent usability study of the HeartMapp PM conducted by co-investigator Dr. Athilingam in 25 HF patients was successful; patients found the app easy to use, helpful and engaging. A concurrent pilot clinical trial that examined only CM in 17 HF patients demonstrated that CM improved memory, cognitive speed of processing, and showed trends for improved everyday function and HF self-care. Across all functional outcomes measured, the CM group showed better function post-training relative to controls. Similarly, in our prior research, and in the successful development of related products at Posit Science that demonstrated a core ability to develop multimodal (i.e., assessment and treatment) applications with compelling user experiences that drive strong performance improvements across multiple performance domains.~The investigators will conduct a single arm, open label, pilot clinical trial to examine feasibility and initial efficacy of the HeartMapp+CT (HeartMapp and computerized plasticity-based adaptive cognitive training). The study will enroll 32 adults aged 40 and older with a diagnosis of HF and over sample by 25% to reduce attrition for a total of 24 participants. Participants will complete follow-up assessments at 3- and 6-months after enrollment.~The primary outcome is to test the feasibility and initial efficacy of using HeartMapp with computerized plasticity-based adaptive cognitive training (HeartMapp+CT), which will be quantified by measuring app usage and engagement with the apps. Engagement with cognitive training will be calculated as percentage of participants who complete 30 sessions of assigned cognitive training included in HeartMapp. App usability and engagement will be assessed by App access by participants; Accessing App components at least 80% of the days (72 days out of 90-days) will be used to determine app engagement.~The secondary outcomes are improvement in cognitive function and HF self-care. If an effect sizes on Cohen's d of d=0.25 or greater relative to controls for these outcomes, HeartMapp will be considered potentially efficacious.~Exploratory outcomes include improvement in quality of life, global health, medication adherence, heart rate variability and hospital admission. The investigators will calculate effect sizes using Cohen's d on these outcomes to inform future studies.
In the current application, the investigators propose to elaborate upon, reconstruct and advance to pivotal trial readiness a recently validated mobile application (HeartMapp), designed for the ecological momentary assessment and treatment of individuals with Heart Failure (HF). Presently, HeartMapp includes physiological modules (PM) that support self-monitoring and exercises that promote heart health, and cognitive modules (CM) that track and enhance cognitive functions. During the first three-months, the investigators will finalize the cognitive training modules within HeartMapp and release through the quality management system. At the completion of software development, the investigators propose to test the relevant usage and progression variables of the algorithm that will be used to direct engagement with the app.~The investigators will conduct a single arm, open label, pilot clinical trial to examine feasibility and initial efficacy of the HeartMapp+CT (HeartMapp and computerized plasticity-based adaptive cognitive training). The term CT refers to computerized training. The study will enroll 32 adults aged 40 and older with a diagnosis of HF and over sample by 25% to reduce attrition for a total of 24 participants enrolled at the end. Participants will complete follow-up assessments at 3- and 6-months after enrollment.