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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jan 31, 2019
Open Peer Review Period: Feb 1, 2019 - Mar 29, 2019
Date Accepted: Aug 19, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

Park C, Otobo E, Ullman J, Rogers J, Fasihuddin F, Garg S, Kakkar S, Goldstein M, Chandrasekhar SV, Pinney S, Atreja A

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

JMIR Med Inform 2019;7(4):e13353

DOI: 10.2196/13353

PMID: 31730039

PMCID: 6913758

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

  • Christopher Park; 
  • Emamuzo Otobo; 
  • Jennifer Ullman; 
  • Jason Rogers; 
  • Farah Fasihuddin; 
  • Shashank Garg; 
  • Sarthak Kakkar; 
  • Marni Goldstein; 
  • Sai Vishudhi Chandrasekhar; 
  • Sean Pinney; 
  • Ashish Atreja

Background:

Heart failure (HF) is a condition that affects approximately 6.2 million people in the United States and has a 5-year mortality rate of approximately 42%. With the prevalence expected to exceed 8 million cases by 2030, projections estimate that total annual HF costs will increase to nearly US $70 billion. Recently, the advent of remote monitoring technology has significantly broadened the scope of the physician’s reach in chronic disease management.

Objective:

The goal of our program, named the Heart Health Program, was to examine the feasibility of using digital health monitoring in real-world home settings, ascertain patient adoption, and evaluate impact on 30-day readmission rate.

Methods:

A digital medicine software platform developed at Mount Sinai Health System, called RxUniverse, was used to prescribe a digital care pathway including the HealthPROMISE digital therapeutic and iHealth mobile apps to patients’ personal smartphones. Vital sign data, including blood pressure (BP) and weight, were collected through an ambulatory remote monitoring system that comprised a mobile app and complementary consumer-grade Bluetooth-connected smart devices (BP cuff and digital scale) that send data to the provider care teams. Care teams were alerted via a Web-based dashboard of abnormal patient BP and weight change readings, and further action was taken at the clinicians’ discretion. We used statistical analyses to determine risk factors associated with 30-day all-cause readmission.

Results:

Overall, the Heart Health Program included 58 patients admitted to the Mount Sinai Hospital for HF. The 30-day hospital readmission rate was 10% (6/58), compared with the national readmission rates of approximately 25% and the Mount Sinai Hospital’s average of approximately 23%. Single marital status (P=.06) and history of percutaneous coronary intervention (P=.08) were associated with readmission. Readmitted patients were also less likely to have been previously prescribed angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers (P=.02). Notably, readmitted patients utilized the BP and weight monitors less than nonreadmitted patients, and patients aged younger than 70 years used the monitors more frequently on average than those aged over 70 years, though these trends did not reach statistical significance. The percentage of the 58 patients using the monitors at least once dropped from 83% (42/58) in the first week after discharge to 46% (23/58) in the fourth week.

Conclusions:

Given the increasing burden of HF, there is a need for an effective and sustainable remote monitoring system for HF patients following hospital discharge. We identified clinical and social factors as well as remote monitoring usage trends that identify targetable patient populations that could benefit most from integration of daily remote monitoring. In addition, we demonstrated that interventions driven by real-time vital sign data may greatly aid in reducing hospital readmissions and costs while improving patient outcomes.


 Citation

Please cite as:

Park C, Otobo E, Ullman J, Rogers J, Fasihuddin F, Garg S, Kakkar S, Goldstein M, Chandrasekhar SV, Pinney S, Atreja A

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

JMIR Med Inform 2019;7(4):e13353

DOI: 10.2196/13353

PMID: 31730039

PMCID: 6913758

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