Morristown Medical Center
Morristown, New Jersey, 07960, United States
NCT Number: NCT02594007
Heart Failure (HF) affects 5.7 million Americans and is the only major cardiovascular disorder on the rise. The primary aim of this study is to formally study the combined effects of several different tele-health modalities, all currently approved and available for general use, to determine if such combinations will result in an increase in early intervention and a resultant decrease in acute cardiac decompensation requiring a hospitalization or Emergency Room (ER) visit. This study will attempt to characterize the frequency of health care interventions attributable to the use of these technologies, and any relationship between these interventions and the frequency of hospitalization or ER visits.
Secondary objectives include characterization of healthcare utilization, healthcare costs, and patient experiences with regard to the use the provided technologies.
Looking for future studies?
Notify Me55 year and older
All sexes
Interventional
Not applicable
Morristown, New Jersey, 07960, United States
It is estimated that 400,000 to 700,000 new cases of heart failure (HF) are diagnosed each year and the number of deaths in the United States from this chronic condition has more than doubled since 1979 - averaging 275,000 annually. HF accounts for over 1.1 million annual hospital discharges, 3.4 million physician office visits, 668,000 emergency department visits, and 293,000 outpatient visits per year. The economic impact is equally staggering: the total estimated annual cost of heart failure exceeds $40 billion. This figure is expected to reach $97 billion by 2030. While initial hospitalizations consume a vast amount of health care resources, readmissions are also a significant problem. The overall readmission rate (all cause) in the United States is 19.6%. Studies have shown the 30-day readmission rate for HF to be 24%. The important clinical implication is that patients are particularly vulnerable in the early post-discharge period (30-90 days from hospital to home) and require heightened surveillance, especially if the hospital admission has been prolonged or if the patient has had prior admissions for worsening HF. Despite advances in pharmacologic and monitoring device therapy, the inability to effectively manage and influence patient behavior and the inability of patients to identify signs and symptoms of decompensated HF are major hurdles to improving outcomes and avoiding subsequent readmissions. Less than 10% of HF patients are eligible for implantable monitoring devices due to a variety of reasons. Non-invasive cardiac telemetry units only monitor a patient's echocardiograph (ECG). HF patients present with numerous other physiologic parameters which largely go unmonitored and changes in status undetected after discharge from hospital to home. A worsening status in any one of these indicators may predict worsening condition or decompensation. This gap leaves a tremendous percentage (the majority, in fact) of the HF population at risk for repeat medical crisis and re-hospitalizations.
Managing the HF patient population requires highly skilled clinicians, stringent monitoring and care coordination, and advanced technology integration. The investigators propose a patient-centered non-invasive remote monitoring care system for HF. This model leverages three distinct technology platforms. This unique care plan brings together physiologic data capture with symptomatic and behavioral patient information into a dynamic patient engagement and education mobile platform that analyzes, predicts and notifies clinicians when a patient's baseline health is changing before it leads to a negative health consequence and subsequent hospital re-admission or ER visit.
Another key differentiator in this care model is the patient's use of a tablet-based tele-health mobile software application that includes the patient's discharge plan, a daily medication management list, reminders, and CHAT features for live, interactive communication with the care team. The software assesses the patient's psychosocial status and enables clinicians to coach and guide patients to change negative health behaviors and adhere to their care plan.
This unique care plan brings together physiologic data capture with symptomatic and behavioral patient information into a dynamic patient engagement and education mobile platform that analyzes, predicts and notifies clinicians when a patient's baseline health is changing before it leads to a negative health consequence and subsequent hospital re-admission or ER visit.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Mobile cardiac telemetry system worn externally for a total of 28 days.
Patient-based interface tool that includes a blood pressure cuff and blue-tooth enabled scale for daily recordings. The patient will also answer a series of behavioral and symptomatic questions daily through 30 days.
Patient-based interface tool that analyzes state of wellness. The patient will answer a series of questions daily through day 30.
Time frame: within 30 days of hospital discharge
Time frame: Within 30 days of hospital discharge
Clinical interventions are defined as any intervention with the participant and may include phone contact, counseling, medication changes, and clinic visits.
Atlantic Health System
Other
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07743125
Cardiovascular Diseases, Heart Diseases
Menomonee Falls, Wisconsin, United States
View Trial DetailsNCT03446651
Cardiovascular Diseases, Heart Diseases
New Haven, Connecticut, United States
View Trial DetailsNCT05806606
Behavior, Cardiovascular Diseases
Hong Kong
View Trial DetailsNCT06847438
Cardiovascular Diseases, Heart Diseases
Atlanta, Georgia, United States
View Trial Details