Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 25;11(8):e36741.
doi: 10.2196/36741.

Continuous Remote Patient Monitoring in Patients With Heart Failure (Cascade Study): Protocol for a Mixed Methods Feasibility Study

Affiliations

Continuous Remote Patient Monitoring in Patients With Heart Failure (Cascade Study): Protocol for a Mixed Methods Feasibility Study

Courtney Reamer et al. JMIR Res Protoc. .

Abstract

Background: Heart failure (HF) is a prevalent chronic disease and is associated with increases in mortality and morbidity. HF is a leading cause of hospitalizations and readmissions in the United States. A potentially promising area for preventing HF readmissions is continuous remote patient monitoring (CRPM).

Objective: The primary aim of this study is to determine the feasibility and preliminary efficacy of a CRPM solution in patients with HF at NorthShore University HealthSystem.

Methods: This study is a feasibility study and uses a wearable biosensor to continuously remotely monitor patients with HF for 30 days after discharge. Eligible patients admitted with an HF exacerbation at NorthShore University HealthSystem are being recruited, and the wearable biosensor is placed before discharge. The biosensor collects physiological ambulatory data, which are analyzed for signs of patient deterioration. Participants are also completing a daily survey through a dedicated study smartphone. If prespecified criteria from the physiological data and survey results are met, a notification is triggered, and a predetermined electronic health record-based pathway of telephonic management is completed. In phase 1, which has already been completed, 5 patients were enrolled and monitored for 30 days after discharge. The results of phase 1 were analyzed, and modifications to the program were made to optimize it. After analysis of the phase 1 results, 15 patients are being enrolled for phase 2, which is a calibration and testing period to enable further adjustments to be made. After phase 2, we will enroll 45 patients for phase 3. The combined results of phases 1, 2, and 3 will be analyzed to determine the feasibility of a CRPM program in patients with HF. Semistructured interviews are being conducted with key stakeholders, including patients, and these results will be analyzed using the affective adaptation of the technology acceptance model.

Results: During phase 1, of the 5 patients, 2 (40%) were readmitted during the study period. The study completion rate for phase 1 was 80% (4/5), and the study attrition rate was 20% (1/5). There were 57 protocol deviations out of 150 patient days in phase 1 of the study. The results of phase 1 were analyzed, and the study protocol was adjusted to optimize it for phases 2 and 3. Phase 2 and phase 3 results will be available by the end of 2022.

Conclusions: A CRPM program may offer a low-risk solution to improve care of patients with HF after hospital discharge and may help to decrease readmission of patients with HF to the hospital. This protocol may also lay the groundwork for the use of CRPM solutions in other groups of patients considered to be at high risk.

International registered report identifier (irrid): DERR1-10.2196/36741.

Keywords: continuous remote patient monitoring; feasibility; heart failure; mobile phone; preliminary efficacy; remote patient monitoring; wearable biosensor.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: The study devices, monitoring platform, and technical support are nonfinancial support by physIQ. KL and JV own shares in, and are engaged in paid employment at physIQ. NSS reports nonfinancial support from physIQ during the conduct of the study. JE reports to, and serves on, the American College of Cardiology MedAxiom Board of Trustees. This is the for-profit arm of the American College of Cardiology Foundation. Although JE has no direct relationships with vendors, the Board approves partnerships with vendors.

Figures

Figure 1
Figure 1
Overview of the clinician portal showing the portal, possible clinician-defined events, and a notification. HR: heart rate; MCI: multivariate change index; RR: respiratory rate; RVR: rapid ventricular response.
Figure 2
Figure 2
The clinician portal showing an alert and clinical events, where green dots represent events that have been seen already, and red dots represent new events.
Figure 3
Figure 3
The daily symptom survey on the mobile app.
Figure 4
Figure 4
Mobile app alerts.
Figure 5
Figure 5
Data transmission pathway. ECG: electrocardiogram; HR: heart rate; RR: respiratory rate.
Figure 6
Figure 6
Workflow process map. AF: atrial fibrillation; APP: advanced practice provider; BMP: basic metabolic panel; CBC: complete blood count; CMP: comprehensive metabolic panel; ED: emergency department; HF: heart failure; IV: intravenous; LE: lower extremity; MCI: multivariate change index; NT-proBNP: N-terminal pro–B-type natriuretic peptide; SOB: shortness of breath.

Similar articles

Cited by

References

    1. Ziaeian B, Fonarow GC. Epidemiology and aetiology of heart failure. Nat Rev Cardiol. 2016 Jun;13(6):368–78. doi: 10.1038/nrcardio.2016.25. http://europepmc.org/abstract/MED/26935038 nrcardio.2016.25 - DOI - PMC - PubMed
    1. Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UK, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P, American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee Heart Disease and Stroke Statistics-2018 update: a report from the American Heart Association. Circulation. 2018 Mar 20;137(12):67–492. doi: 10.1161/CIR.0000000000000558. https://www.ahajournals.org/doi/abs/10.1161/CIR.0000000000000558?url_ver... CIR.0000000000000558 - DOI - DOI - PubMed
    1. Cook C, Cole G, Asaria P, Jabbour R, Francis DP. The annual global economic burden of heart failure. Int J Cardiol. 2014 Feb 15;171(3):368–76. doi: 10.1016/j.ijcard.2013.12.028.S0167-5273(13)02238-9 - DOI - PubMed
    1. Jackson SL, Tong X, King RJ, Loustalot F, Hong Y, Ritchey MD. National burden of heart failure events in the United States, 2006 to 2014. Circ Heart Fail. 2018 Dec;11(12):e004873–85. doi: 10.1161/CIRCHEARTFAILURE.117.004873. http://europepmc.org/abstract/MED/30562099 S0033-0620(15)30016-5 - DOI - PMC - PubMed
    1. Ziaeian B, Fonarow GC. The prevention of hospital readmissions in heart failure. Prog Cardiovasc Dis. 2016 Apr 13;58(4):379–85. doi: 10.1016/j.pcad.2015.09.004. http://europepmc.org/abstract/MED/26432556 S0033-0620(15)30016-5 - DOI - PMC - PubMed