Monitoring and Self-management of Sleep Fatigue and Dyspnea

June 12, 2020 updated by: University of Massachusetts, Amherst

Monitoring and Self-management of Sleep Fatigue and Dyspnea to Improve Heart Failure Outcomes in African-Americans

African Americans have the highest risk for developing heart failure. When African Americans are diagnosed with heart failure (AAHF) it is usually more advanced HF compared to other races. African-Americans have the highest rate of hospitalization for HF compared to any other ethnic groups. Thus, life style modification, awareness of signs and symptoms of HF by continuous, rather than intermittent monitoring, is essential in beginning to develop HF interventions that can provide early detection. Early interventions would lead to reduced re-hospitalization, prevent hospital readmission and reduce the mortality rate associated with HF.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Detailed Description

Symptoms of heart failure due to circulatory fluid overload: Signs of circulatory fluid overload are theleading to cardiac decompensation or worsening heart failure are: orthopnea, dyspnea, fatigue, weight gain, abdominal swelling, fluid retention, extended jugular vein, leg edema, crackles, and ascites. Identifying early signs of CFO in HF would provide patients more time to respond and self-manage symptoms at home.

Currently most HF patients are monitored intermittently for changes in symptoms

. According to the American Heart Association establishing self- monitoring practices is the best method for improving health behaviors and health outcomes in individuals.

Fatigue and sleep in HF and gaps in symptom self-management: Fatigue in heart failure patients was previously measured using a self-reported questionnaire and concluded that identifying fatigue early could result in initiation of treatment to prevent HF decompensation. A study by also concluded that severe HF symptoms are associated with higher levels of fatigue in HF patients. found that increases in fatigue in cardiovascular patients resulted in poorer self-care and poorer cardiovascular outcomes, but fatigue was not an indication of disease severity. . Similarly another study concluded that there is a relationship between sleep, fatigue and functional performance in HF patients. However, sleep, fatigue and HF symptoms were only intermittently, rather than continuously, monitored in these studies to assess its impact on HF patient outcomes.

The wrist-worn wearable device, Readiband (Fatigue Science)has a 93 accuracy rate in measuring sleep. The Readiband and the biomathematical fatigue model SAFTE (Sleep, Activity, Fatigue, and Task Effectiveness)have being successfully used to measure sleep and fatigue in multiple areas of research The Readiband has a one month battery life and has the ability to sync to mobile phones, or iPads via a Sync app. It allows for Minute-by-minute actigraphy values and sleep/wake classification. The Readiband has the ability to track, high recurring wake episodes, frequency of daytime sleep episodes, high sleep latency, wake after sleep onset and total sleep quantity. The Readiband has been used successfully to measure fatigue in athletes and law enforcement officers In the following studies the Readiband was use to assess the correlation between sleep and fatigue: risk for accidents in medical residents risk for making medical errors, and to predict football player's risk for injury Each study has shown some level of statistical significance of the relationship between sleep and fatigue. This study is adding another component of assessing if sleep and fatigue correlates with increase severity of HF symptoms.The SAFTE Fatigue Model (Sleep, Activity, Fatigue, and Task Effectiveness)will interpret the data collected from the Readiband. The SAFTE Fatigue Model and the Readiband has never been use to monitor the correlation between sleep, fatigue and decompensation in HF symptoms. The data from the Readiband will be transmitted to the SAFTE Fatigue model. The data will analyze the patient sleep wake pattern to detect patient's level of fatigue and data will be provided with the patient.

Study Type

Interventional

Enrollment (Anticipated)

20

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Massachusetts
      • Amherst, Massachusetts, United States, 01003
        • Recruiting
        • University of Massachusetts Amherst
        • Contact:
        • Principal Investigator:
          • Heather Hamilton, PhD RN

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

30 years to 85 years (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria

  • Age 30-85years.
  • Diagnosis of heart failure based on patient's medical record.
  • Meets the criteria for New York Heart Failure (NYHF) classification for stage I-III heart failure.
  • Meets the criteria for ACA/AHA HF classification Stage A and B (Patient with clinical HF).

Exclusion Criteria

  • Exclusion criteria include patients with a diagnosis of dementia, patients on the heart transplant
  • list and stage IV HF.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: DEVICE_FEASIBILITY
  • Allocation: NA
  • Interventional Model: SINGLE_GROUP
  • Masking: NONE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
OTHER: Feasibility of Wearing a Readiband

Participants will wear the Fatigue Science Readiband for 42 consecutive day. On day one, every seventh day and at the end of the study each participant will complete the Dyspnea-Characteristic scale, BRICS NINR PROMIS Fatigue Short Form6a scale , Modified Pulmonary Functional Status, Dyspnea Questionnaire and the BRICS NINR PROMIS SF v1.0-Sleep Disturbance 6a scale.The Minnesota Living with Heart Failure Questionnaire and Self-Care of Heart Failure Index will be completed on day one and day 60. The purpose of this intervention is to assess the Feasibility of Wearing a Readiband.

Semi-structured Interview will be conducted at the end of 42 days to assess patient comfort and challenges with wearing the Readiband.

On day one of the study participants will complete a demographic survey. On day one, every seventh day and at the end of the study each participant will complete all the scales; The Minnesota Living with Heart Failure Questionnaire (MLHFQ) and Self-Care of Heart Failure Index will be completed on day one and day 60. At the end of the intervention an Interview will be conducted to assess participants experiences using the Readiband: On a scale of 0-10, how would you rate your digital literacy? 2) Why that number? 3) Tell me about a day using the readiband? 4) Were there any challenges to wearing the band, forgetting to wear it, level of comfort wearing the band? Anything else etc..? 5) How did the digital tools enhance your health? 6) Did the use of digital tools cause you to take a proactive approach rather than a reactive approach to your health? 7) As I use the readiband in a next study, what suggestions do you have for me?

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Measure if the Readiband is able to measure Sleep and Fatigue
Time Frame: 42 days

Specific Aim #1: To evaluate the ability of HF patients to continuously wear a wrist-worn device (Readiband) for up to 42 days to monitor fatigue, activity and sleep.

These data will be gathered via the Readiband which is a wrist-worn device. It is not an instrument or a scale. The wrist-worn wearable device, Readiband (Fatigue Science) has a 93% accuracy rate in measuring sleep The Readiband and the biomathematical fatigue model SAFTE (Sleep, Activity, Fatigue, and Task Effectiveness) have being successfully used to measure sleep and fatigue in multiple areas of research.

42 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between data from the Readiband and the PROMIS scales
Time Frame: 42 days
Specific Aim #2: To determine if HF patients can use and interpret the data obtained from a wrist-worn device on their level of fatigue, activity, sleep, and other symptoms to self-manage symptoms. This aim will be addressed via descriptive statistics that will present items completed by study participants that reflect the use and ability of study participants to interpret data the data obtained from a wrist-worn device on their level of fatigue and sleep(BRICS NINR PROMIS Fatigue Short Form6a scale and the BRICS NINR PROMIS SF v1.0-Sleep Disturbance 6a scale) Readiband will be worn for 42 days and data will be generated on a daily basis.
42 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Heather M Hamilton, PhD, RN, University of Massachusetts, Amherst

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

August 15, 2019

Primary Completion (ANTICIPATED)

April 30, 2021

Study Completion (ANTICIPATED)

April 30, 2021

Study Registration Dates

First Submitted

March 11, 2020

First Submitted That Met QC Criteria

June 12, 2020

First Posted (ACTUAL)

June 17, 2020

Study Record Updates

Last Update Posted (ACTUAL)

June 17, 2020

Last Update Submitted That Met QC Criteria

June 12, 2020

Last Verified

June 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • 2019-5684

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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