Remote Monitoring of Multiple Indicators of Heart Failure
Usability and Utility Assessment of Passive Remote Monitoring of Multiple Novel Indicators of Heart Failure
1 other identifier
interventional
165
1 country
1
Brief Summary
This study is intended to evaluate the impact of passive continuous remote patient monitoring to assist in the outpatient management of heart failure (HF) patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable heart-failure
Started Feb 2020
Longer than P75 for not_applicable heart-failure
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 5, 2020
CompletedStudy Start
First participant enrolled
February 11, 2020
CompletedFirst Posted
Study publicly available on registry
February 13, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2024
CompletedDecember 8, 2023
December 1, 2023
4.5 years
February 5, 2020
December 6, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Myia Platform feasibility: questionnaire
Patient perception of the Myia Platform will be assessed during the study using a structured questionnaire, delivered either electronically or by paper to patients by research staff. Patient Platform satisfaction/usability/utility questionnaire: The formal title of the questionnaire is 'Check In Survey' and it consists of 17 questions with scaled options, 1-7 (1=most positive, 7=most negative) and it is administered at 3 time points. The lower the overall total the more positive the patient rating of the Myia Platform.
From baseline to 6 months (final)
Secondary Outcomes (8)
Persistence of minimally useful data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
From baseline to 6 months time (final)
Persistence of daily data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
From baseline to 6 months time (final)
Persistence of weekly data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
From baseline to 6 months time (final)
Persistence of vital sign data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
From baseline to 6 months time (final)
Persistence of greater than 1 data point per week data acquisition of a remote patient monitoring platform to monitor the health status of patients living with heart failure.
From baseline to 6 months time (final)
- +3 more secondary outcomes
Study Arms (1)
Remote patient monitoring
OTHERAfter consenting to the study, the Myia in-home suite of devices, and mobile phone application if the patient owns a smart phone, will be provided to all recruited patients. The data flowing from the Myia platform will be available to clinicians and patients for the duration of the pilot and utilized to complete study activities. Patients enrolled will transmit daily vital sign data to the Myia Health remote patient monitoring platforms for clinical review. Enrolled patients will complete medication change/compliance survey monthly to assess for medication changes. Enrolled patients will complete symptomatic assessments (KCCQ-12) at 0, 3, and 6 months. Enrolled patients will complete a Check-In survey to assess utility and usability of the intervention at the 2, 4, and 6 month timepoints
Interventions
After consenting to the study, the Myia in-home suite of devices will be provided to all recruited patients. The data flowing from the Myia platform will be available to clinicians and patients for the duration of the pilot and utilized to complete study activities. Device: Myia Health platform and in-home suite of devices®: Emfit Ballistocardiograph® Withings Connected Scale® VitalScout (VivaLink) ECG Accelerometer® Omron Blood Pressure Monitor® (Sphygmomanometer) Cradlepoint - Hotspot / Adaptor® (LTE Connection) Samsung Galaxy Tab A 8.0"® (User Interface)
Eligibility Criteria
You may qualify if:
- Outpatients cared for by BJH Advanced Heart Failure Clinic, where BJH is their primary cardiology care team
- Age ≥ 18 years old at time of consent
- HFrEF diagnosis in the BJH Advanced Heart Failure Clinic medical record
- Has had an ER presentation or hospitalization related to their heart failure in last 12 months prior to enrollment
- Most recent recorded Left Ventricular Ejection Fraction (LVEF) of \< 50% and at least 1 recorded LVEF of \< 40%
- Scheduled clinic visit 90- 180 days after study enrollment.
- NYHA Class II-IV
- Sleeps in the same bed at ≥ 4 days per week
- Able to ambulate
- Willingness to complete the required surveys, measurements and study activities
You may not qualify if:
- Current ventricular assist device or cardiac transplant.
- Currently listed for cardiac transplantation
- End-Stage Renal Disease on chronic dialysis
- Malignancy diagnosis undergoing active treatment
- Hospice or palliative care
- Living in a skilled nursing facility or other chronic care facility (ambulatory patients only)
- Self-reported pregnancy or planned pregnancy in the next 6 months
- Inability or unwillingness to consent and/or follow requirements of the study
- Planned major surgeries or procedures requiring hospitalization in next 6 months
- Use of Lifevest or other worn device that may affect ballistocardiogram measurements
- Patient weight \> 385 lbs at time of enrollment
- Life expectancy \<1 year
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Washington University School of Medicinelead
- Healthcare Innovation Labcollaborator
- MYIA Labs, Inc.collaborator
Study Sites (1)
Washington University School of Medicine
St Louis, Missouri, 63110, United States
Related Publications (17)
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PMID: 21315441BACKGROUNDBoehmer JP, Hariharan R, Devecchi FG, Smith AL, Molon G, Capucci A, An Q, Averina V, Stolen CM, Thakur PH, Thompson JA, Wariar R, Zhang Y, Singh JP. A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices: Results From the MultiSENSE Study. JACC Heart Fail. 2017 Mar;5(3):216-225. doi: 10.1016/j.jchf.2016.12.011.
PMID: 28254128BACKGROUNDWeng SF, Reps J, Kai J, Garibaldi JM, Qureshi N. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLoS One. 2017 Apr 4;12(4):e0174944. doi: 10.1371/journal.pone.0174944. eCollection 2017.
PMID: 28376093BACKGROUNDChan PS, Oetgen WJ, Spertus JA. The Improving Continuous Cardiac Care (IC(3)) program and outpatient quality improvement. Am J Med. 2010 Mar;123(3):217-9. doi: 10.1016/j.amjmed.2009.09.019. No abstract available.
PMID: 20193826BACKGROUNDOng MK, Romano PS, Edgington S, Aronow HU, Auerbach AD, Black JT, De Marco T, Escarce JJ, Evangelista LS, Hanna B, Ganiats TG, Greenberg BH, Greenfield S, Kaplan SH, Kimchi A, Liu H, Lombardo D, Mangione CM, Sadeghi B, Sadeghi B, Sarrafzadeh M, Tong K, Fonarow GC; Better Effectiveness After Transition-Heart Failure (BEAT-HF) Research Group. Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients With Heart Failure: The Better Effectiveness After Transition -- Heart Failure (BEAT-HF) Randomized Clinical Trial. JAMA Intern Med. 2016 Mar;176(3):310-8. doi: 10.1001/jamainternmed.2015.7712.
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PMID: 20031870BACKGROUNDChun S, Tu JV, Wijeysundera HC, Austin PC, Wang X, Levy D, Lee DS. Lifetime analysis of hospitalizations and survival of patients newly admitted with heart failure. Circ Heart Fail. 2012 Jul 1;5(4):414-21. doi: 10.1161/CIRCHEARTFAILURE.111.964791. Epub 2012 May 2.
PMID: 22556322BACKGROUNDTung YC, Chou SH, Liu KL, Hsieh IC, Wu LS, Lin CP, Wen MS, Chu PH. Worse Prognosis in Heart Failure Patients with 30-Day Readmission. Acta Cardiol Sin. 2016 Nov;32(6):698-707. doi: 10.6515/acs20151113a.
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PMID: 20142027BACKGROUNDSoto GE, Jones P, Weintraub WS, Krumholz HM, Spertus JA. Prognostic value of health status in patients with heart failure after acute myocardial infarction. Circulation. 2004 Aug 3;110(5):546-51. doi: 10.1161/01.CIR.0000136991.85540.A9. Epub 2004 Jul 19.
PMID: 15262843BACKGROUNDGreen CP, Porter CB, Bresnahan DR, Spertus JA. Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. J Am Coll Cardiol. 2000 Apr;35(5):1245-55. doi: 10.1016/s0735-1097(00)00531-3.
PMID: 10758967BACKGROUNDGreene SJ, Fonarow GC, Butler J. Reply: Titration of Guideline-Directed Medical Therapy Improves Patient-Centered Outcomes in Heart Failure With Reduced Ejection Fraction. J Am Coll Cardiol. 2019 Sep 10;74(10):1426-1427. doi: 10.1016/j.jacc.2019.06.061. No abstract available.
PMID: 31488284BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Greg Ewald, MD
Washington University School of Medicine
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 5, 2020
First Posted
February 13, 2020
Study Start
February 11, 2020
Primary Completion
July 31, 2024
Study Completion
August 1, 2024
Last Updated
December 8, 2023
Record last verified: 2023-12
Data Sharing
- IPD Sharing
- Will not share