This study is designed to descriptively assess improvement in quality of life and test the usability of remotely monitored respiration parameters in the routine management of recently discharged heart failure patients. It will consist of two arms: (i) intervention, and (ii) control. Participants will be randomized to either arm at time of enrollment. Every participant enrolled in the study will receive a device for remote monitoring.
Heart failure ('HF') presents an increasing social and economic burden, especially with respect to HF related hospitalizations. Some commentators suggest that these costs may double within the next two decades. Respiration patterns are well acknowledged as having diagnostic and prognostic value in HF. In this preliminary study, the investigators assess the usability of remote monitoring of respiration parameters in the routine management of HF patients. Objectives: (primary and important secondary objectives) The primary aims are: 1. Assess usability of the system (primary measurement is % of successful data transmissions from participants' homes, secondary measurement includes scores from the System Usability Scale) 2. Assess quality of life (as measured using the KCCQ) for HF patients monitored with a non-contact respiration monitor which can be used by clinicians to guide standard therapy. Other key secondary objectives include examining trends in healthcare utilization, descriptively assessing any differences in care patterns post hoc between participants. As part of the study plan , the investigators will also analyze respiration and sleeping patterns from the raw data files to assess the prevalence of unusual breathing patterns such as sleep apnea in newly discharged HF patients and how these patterns may be linked to outcomes. These analyses will be executed retrospectively on a population rather than individual participant basis and will not be used to inform individual treatment plans.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
17
Reassure uses a specially-designed, non-contact motion sensor to monitor body movement and continuous respiratory rate (CRR) during sleep. Reassure is used to monitor, over a prolonged period, the sleep patterns and respiration rate while the patient is asleep.
Allegheny General Hospital
Pittsburgh, Pennsylvania, United States
Percent Successful Data Transmissions
Number of successful data transmissions compared to number of possible data transmissions
Time frame: One year
Quality of Life as Measured by Kansas City Cardiomyopathy Questionnaire
Quality of life as measured by Kansas City Cardiomyopathy Questionnaire
Time frame: One year
System Usability
Usability of the system by the clinical care team as measured by a System Usability Scale
Time frame: One year
Healthcare Utilization
Trends in healthcare utilization and care patterns as measured by numbers of home visits, outpatient visits, all-cause hospitalizations, HF related hospitalizations, lengths of stay
Time frame: One year
HF Drug Compliance
Percent compliance in HF-specific drugs: diuretics, ACE/ARB, Beta Blockers, Spironolactone/Nitrates and Hydralazine
Time frame: One year
HF Drug Changes
Rate of changes in HF-specific drugs: diuretics, ACE/ARB, Beta Blockers, Spironolactone/Nitrates and Hydralazine
Time frame: One year
Biomarkers
Trends in HF-specific biomarkers: NT-proBNP, ST2
Time frame: One year
Respiration Patterns
Retrospective exploratory analysis of respiration rate measured by the Reassure device compared to participant outcomes (eg, status at end of study, changes in medications, biomarkers, etc) to evaluate potential predictive trends for use in designing future studies.
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Time frame: One year
Sleeping Patterns
Retrospective exploratory analysis of sleeping patterns measured by the Reassure device compared to participant outcomes (eg, status at end of study, changes in medications, biomarkers, etc) to evaluate potential predictive trends for use in designing future studies.
Time frame: One year