Heart Failure PatientsNCT04434716
Monitoring and Self-management of Sleep Fatigue and Dyspnea
A study testing Feasibility of wearing a Readiband to monitor Sleep and Fatigue in people with Heart Failure Patients, run by University of Massachusetts, Amherst at 1 site in United States.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 30 to 85 years
- Conditions the study is for
- Heart Failure Patients
- What is being tested?
- Feasibility of wearing a Readiband to monitor Sleep and Fatigue
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 20 participants
- Where
- 1 siteUnited States
- Study dates
- 15 Aug 2019to 30 Apr 2021
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 30 to 85 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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).
Who cannot join
- Exclusion criteria include patients with a diagnosis of dementia, patients on the heart transplant
- list and stage IV HF.
Trial locations and contacts
1 site in 1 country.
United States1 site, 1 recruiting
- Recruiting
University of Massachusetts Amherst
Amherst, Massachusetts, 01003
Heather Hamilton, PhD RN, 413-545-7174, hamilton@umass.edu
Heather Hamilton, PhD RN
About this study
Official title: 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.
Read the 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.
- Conditions
- Heart Failure Patients
- Being tested
- Feasibility of wearing a Readiband to monitor Sleep and Fatigue
- Keywords
- Heart failure, African Americans, Wrist worn device, Mixed- method
- Medical subject headings
- Heart Failure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Feasibility of wearing a Readiband to monitor Sleep and FatigueDevice
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?
| Study group | Role | What they receive |
|---|---|---|
| Feasibility of Wearing a Readiband | Other | 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. Receives: Device: Feasibility of wearing a Readiband to monitor Sleep and Fatigue |
What is being measured
The primary outcome is the main question the study is designed to answer.
Measure if the Readiband is able to measure Sleep and Fatigue
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.
Measured: 42 days
Secondary outcomes (1)
Correlation between data from the Readiband and the PROMIS scales
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.
Measured: 42 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Jun 2020
- Study start15 Aug 2019
- Primary completion30 Apr 2021 (estimated)
- Study completion30 Apr 2021 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (9)Papers the sponsor has linked to this study.
- Other trials for Heart Failure PatientsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Device feasibility
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- The overall specific aim of this study is to test whether daily monitoring of fatigue and sleep using a wrist-worn device can improve self-management and aid in the early detection of the signs and symptoms of CFO indicating increasing cardiac decompensation in heart failure. A mixed methods approach will be used to study the specific aims.
- Masking
- None (open label)
- Enrolment
- 20 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Massachusetts, Amherst
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Heather M Hamilton, PhD, RN, Principal investigator, University of Massachusetts, Amherst
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04434716
- Sponsor's protocol ID
- 2019-5684
- Status last verified
- Jun 2020
- First submitted
- 11 Mar 2020
- Last updated
- 17 Jun 2020
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Benjamin, E.J., Muntner. P., Alonso, A., Bittencourt, M.S., Callaway, C.W., Carson, A.P., Chamberlain, A.M., Chang, A.R., Cheng, S., Das, S.R., Delling, F.N., Djousse, L., Elkind, M.S.V., Ferguson, J.F., Fornage, M., Jordan, L.C., Khan, S.S., Kissela, B.M., Knutson, K.L.,Kwan, T.W., Lackland, D.T., Lewis, T.T., Lichtman, J.H., Longenecker, C.T., Loop, M.S., Lutsey, P.L., Martin, S.S., Matsushita, K., Moran, A.E., Mussolino, M.E., O'Flaherty, M., Pandey, A., Perak, A.M., Rosamond, W.D., Roth, G.A., Sampson, U.K.A., Satou, G.M., Schroeder, E.B., Shah, S.H., Spartano, N.L., Stokes, A., Tirschwell, D.L., Tsao, C.W., Turakhia, M.P., VanWagner, L.B., Wilkins, J.T., Wong, S.S., Virani, S.S. (2019); on behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics-2019 update: a report from the American Heart Association [published online ahead of print January 31, 2019]. Circulation. doi: 10.1161/CIR.0000000000000659.
Bibbins-Domingo K, Pletcher MJ, Lin F, Vittinghoff E, Gardin JM, Arynchyn A, Lewis CE, Williams OD, Hulley SB. Racial differences in incident heart failure among young adults. N Engl J Med. 2009 Mar 19;360(12):1179-90. doi: 10.1056/NEJMoa0807265.
PubMed 19297571Bui AL, Fonarow GC. Home monitoring for heart failure management. J Am Coll Cardiol. 2012 Jan 10;59(2):97-104. doi: 10.1016/j.jacc.2011.09.044.
PubMed 22222071Fatigue Science(2018)Retrieved from https://www.fatiguescience.com
Health Measures (2019).http://www.healthmeasures.net/explore-measurement-systems/promis Heart failure Society of America.(2018)Patient Application. Retrieved from
Heart Failure Society of America (20190 HEART FAILURE HEALTH STORYLINES. Retrieved from hfsa.org/patient/patient-tools/patient
Chen LH, Li CY, Shieh SM, Yin WH, Chiou AF. Predictors of fatigue in patients with heart failure. J Clin Nurs. 2010 Jun;19(11-12):1588-96. doi: 10.1111/j.1365-2702.2010.03218.x.
PubMed 20579199Riegel B, Dickson VV, Lee CS, Daus M, Hill J, Irani E, Lee S, Wald JW, Moelter ST, Rathman L, Streur M, Baah FO, Ruppert L, Schwartz DR, Bove A. A mixed methods study of symptom perception in patients with chronic heart failure. Heart Lung. 2018 Mar-Apr;47(2):107-114. doi: 10.1016/j.hrtlng.2017.11.002. Epub 2018 Jan 3.
PubMed 29304990U.S. Food and Drugs Administration (2018). Human Factors and Medical Devices. Retrieved from https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/Huma
Study at a glance
From the registry record, last updated by the sponsor on 17 Jun 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Monitoring and Self-management of Sleep Fatigue and Dyspnea to Improve Heart Failure Outcomes in African-Americans
- ClinicalTrials.gov ID
- NCT04434716
- Acronym / sponsor ID
- 2019-5684
- Conditions
- Heart Failure Patients
- Keywords
- Heart failure, African Americans, Wrist worn device, Mixed- method
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 20 participants (estimated)
- Lead sponsor
- University of Massachusetts, AmherstUniversity, hospital or other
- Study start
- 15 Aug 2019 (actual)
- Primary completion
- 30 Apr 2021 (estimated)
- Study completion
- 30 Apr 2021 (estimated)
- First posted
- 17 Jun 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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 design
- Primary purpose
- Device feasibility
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- The overall specific aim of this study is to test whether daily monitoring of fatigue and sleep using a wrist-worn device can improve self-management and aid in the early detection of the signs and symptoms of CFO indicating increasing cardiac decompensation in heart failure. A mixed methods approach will be used to study the specific aims.
| Arm | Type | Receives |
|---|---|---|
| Feasibility of Wearing a Readiband | Other | Device: Feasibility of wearing a Readiband to monitor Sleep and FatigueParticipants 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. |
Who may qualify
- Ages
- 30 to 85 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- 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).
Key exclusion criteria (2 listed)
- Exclusion criteria include patients with a diagnosis of dementia, patients on the heart transplant
- list and stage IV HF.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Feasibility of wearing a Readiband to monitor Sleep and FatigueOn 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? | Device | Feasibility of Wearing a Readiband |
Primary outcome
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.
1 secondary outcome
Correlation between data from the Readiband and the PROMIS scales
Time frame: 42 days
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 17 Jun 2020.
- BackgroundBenjamin, E.J., Muntner. P., Alonso, A., Bittencourt, M.S., Callaway, C.W., Carson, A.P., Chamberlain, A.M., Chang, A.R., Cheng, S., Das, S.R., Delling, F.N., Djousse, L., Elkind, M.S.V., Ferguson, J.F., Fornage, M., Jordan, L.C., Khan, S.S., Kissela, B.M., Knutson, K.L.,Kwan, T.W., Lackland, D.T., Lewis, T.T., Lichtman, J.H., Longenecker, C.T., Loop, M.S., Lutsey, P.L., Martin, S.S., Matsushita, K., Moran, A.E., Mussolino, M.E., O'Flaherty, M., Pandey, A., Perak, A.M., Rosamond, W.D., Roth, G.A., Sampson, U.K.A., Satou, G.M., Schroeder, E.B., Shah, S.H., Spartano, N.L., Stokes, A., Tirschwell, D.L., Tsao, C.W., Turakhia, M.P., VanWagner, L.B., Wilkins, J.T., Wong, S.S., Virani, S.S. (2019); on behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics-2019 update: a report from the American Heart Association [published online ahead of print January 31, 2019]. Circulation. doi: 10.1161/CIR.0000000000000659.
- Background: PubMed 19297571Bibbins-Domingo K, Pletcher MJ, Lin F, Vittinghoff E, Gardin JM, Arynchyn A, Lewis CE, Williams OD, Hulley SB. Racial differences in incident heart failure among young adults. N Engl J Med. 2009 Mar 19;360(12):1179-90. doi: 10.1056/NEJMoa0807265.
- Background: PubMed 22222071Bui AL, Fonarow GC. Home monitoring for heart failure management. J Am Coll Cardiol. 2012 Jan 10;59(2):97-104. doi: 10.1016/j.jacc.2011.09.044.
- BackgroundFatigue Science(2018)Retrieved from https://www.fatiguescience.com
- BackgroundHealth Measures (2019).http://www.healthmeasures.net/explore-measurement-systems/promis Heart failure Society of America.(2018)Patient Application. Retrieved from
- BackgroundHeart Failure Society of America (20190 HEART FAILURE HEALTH STORYLINES. Retrieved from hfsa.org/patient/patient-tools/patient
- Background: PubMed 20579199Chen LH, Li CY, Shieh SM, Yin WH, Chiou AF. Predictors of fatigue in patients with heart failure. J Clin Nurs. 2010 Jun;19(11-12):1588-96. doi: 10.1111/j.1365-2702.2010.03218.x.
- Background: PubMed 29304990Riegel B, Dickson VV, Lee CS, Daus M, Hill J, Irani E, Lee S, Wald JW, Moelter ST, Rathman L, Streur M, Baah FO, Ruppert L, Schwartz DR, Bove A. A mixed methods study of symptom perception in patients with chronic heart failure. Heart Lung. 2018 Mar-Apr;47(2):107-114. doi: 10.1016/j.hrtlng.2017.11.002. Epub 2018 Jan 3.
- BackgroundU.S. Food and Drugs Administration (2018). Human Factors and Medical Devices. Retrieved from https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/Huma
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Heather M Hamilton, PhD, RN principal investigator
University of Massachusetts, Amherst
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Feasibility of wearing a Readiband to monitor Sleep and Fatigue in people with Heart Failure Patients, run by University of Massachusetts, Amherst at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 17 Jun 2020. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Heather Hamilton, PhD RN (413-545-7174, hamilton@umass.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Measure if the Readiband is able to measure Sleep and Fatigue (time frame: 42 days). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04434716, which also lists 9 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 17 Jun 2020.