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Use of Telemonitoring System in Heart Failure Patients

Heart Failure Self-Management Using a Mobile Web-Based Telemonitoring System- Impact on Hospital Readmissions and Quality of Life SELF-e HF

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04294303
Acronym
I get better
Enrollment
50
Registered
2020-03-04
Start date
2016-02-03
Completion date
2020-01-29
Last updated
2020-03-05

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

Conditions

Heart Failure, Quality of Life

Brief summary

Heart failure is a major public health problem worldwide. Heart failure is one of the most common causes for hospitalizations among people over 65 years of age in the United States. Nationwide, approximately 25% of patients admitted to a hospital for heart failure are readmitted to a hospital within 30 days.Multiple transitional care interventions, including telemonitoring, aimed to decrease hospital readmission rates and improve quality of life in heart failure (HF) patients have been explored. Most studies evaluated effectiveness of telemonitoring used in conjunction with other interventions. In this study, investigators studied the role of a potentially cost-effective, telemonitoring program in reducing readmissions and improving quality of life among patients admitted with HF exacerbation in a teaching hospital. They aimed to determine impact of a standalone telemonitoring system. Primary outcome: Rate of hospital readmission for heart failure Secondary outcomes: Quality of life, Perceived effect of the intervention on heart-failure related care

Detailed description

60 patients will be recruited for this study. After signing the consent form, participant will be randomized to receive usual care (i.e. they will get the current standard care for patients with heart failure) or usual care and participation in the iGetBetter program. Participant will complete a questionnaire in the hospital about their quality of life. iGetBetter group will be given a Bluetooth-equipped scale, blood pressure cuff, and a tablet with a data plan. Participant will check their weight and blood pressure at home daily, using the equipment provided. This information will be sent via the internet to iGetBetter's web server, where the data will be temporarily stored. The data will be monitored by the physician researcher. If their blood pressure is high (e.g. greater than or equal to 140/90 for two days in a row) or they gain a significant amount of weight (e.g. 2 pounds in two days), the study team will be automatically notified. A member of the study team will alert participant cardiologist and the cardiologist will have the option to make any recommendations, such as contacting the subject to schedule an office visit. Total participation in this study will last 45 days after patient is discharged from the hospital. Regardless of the assigned group, participant will be asked to complete two questionnaires after 45 days. A member of the research team will contact participant by phone to complete these questionnaires. One of these questionnaires will investigate their quality of life; the other will assess how participant feel the care they have received has affected their health. Patients assigned to the iGetBetter group will also complete a third survey about their satisfaction with the program.

Interventions

OTHERweb based telemonitoring system

Subjects in the telemonitoring group were given an iPad with installed iHealth application, a scale, and an electronic blood pressure monitor (a mobile web-based telemonitoring system). These devices were interconnected via Bluetooth. The iPad had permanent internet connection. Patients were taught to use the equipment to check and record their weight, blood pressure, and heart rate every morning, for 45 days after the hospital discharge. Data was automatically uploaded via iHealth application in a secure database.

OTHERConventional

Subjects in the control group received the standard patient teaching, including an instruction to self-monitor their weight.

Sponsors

Danbury Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE

Eligibility

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

Inclusion criteria

* 18 years of age and older * Admitted to Danbury Hospital with heart failure * NYHA functional class II-IV

Exclusion criteria

* Not agreeable to participate in the study * ESRD on HD * Severe COPD (O2/steroid dependent?) * Pregnancy * Hospice patients/bed bound patients * Severe valvular disease, or recent valvular intervention (within 1 year) or planned valvular intervention. * Expected to be transferred to another acute care hospital * Solid organ transplant recipient or listed for transplant, recipient of left ventricular assist device or planned to receive one * Homeless participants * Active psychiatric disorders, addiction

Design outcomes

Primary

MeasureTime frame
Rate of hospital readmission for heart failure45 days after enrollment

Secondary

MeasureTime frameDescription
Quality of life: questioninaire45 days after enrollmentQuality of life based on Minnesota Living with Heart Failure Questionnaire, Range 0-105, from best to worst quality of life. First time given at time of enrollment and then 45 days after enrollment, a member of the research team contacted patient by phone to complete the questionnaire.
Perceived effect of the intervention on heart-failure related care45 days after enrollmentPerceived effect of the intervention on heart-failure related care based on the Perceived effect of telemonitoring questionnaire. 45 days after enrollment, a member of the research team contacted patient by phone to complete the following questions : 1. Felt more in the control of the disease 2. Felt more connected with the medical team 3. Felt that it reminded to take the pills Each question is answered on the following scale: very true, true, somewhat true, and not true at all.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026