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A Virtual Cardiovascular Care Program for Prevention of Heart Failure Readmissions in a Skilled Nursing Facility Population: Retrospective Analysis.
Friedman, Daniel M; Goldberg, Jana M; Molinsky, Rebecca L; Hanson, Mark A; Castaño, Adam; Raza, Syed-Samar; Janas, Nodar; Celano, Peter; Kapoor, Karen; Telaraja, Jina; Torres, Maria L; Jain, Nayan; Wessler, Jeffrey D.
  • Friedman DM; Heartbeat Health, Inc., New York, NY, United States.
  • Goldberg JM; Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, United States.
  • Molinsky RL; Heartbeat Health, Inc., New York, NY, United States.
  • Hanson MA; Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, United States.
  • Castaño A; Heartbeat Health, Inc., New York, NY, United States.
  • Raza SS; Innovative Practice & Telemedicine Section, Department of Emergency Medicine, The George Washington University, Washington, DC, United States.
  • Janas N; Heartbeat Health, Inc., New York, NY, United States.
  • Celano P; Cassena Care, LLC, Woodbury, NY, United States.
  • Kapoor K; Heartbeat Health, Inc., New York, NY, United States.
  • Telaraja J; Cassena Care, LLC, Woodbury, NY, United States.
  • Torres ML; Heartbeat Health, Inc., New York, NY, United States.
  • Jain N; Heartbeat Health, Inc., New York, NY, United States.
  • Wessler JD; Heartbeat Health, Inc., New York, NY, United States.
JMIR Cardio ; 5(1): e29101, 2021 Jun 01.
Article in English | MEDLINE | ID: covidwho-1249627
ABSTRACT

BACKGROUND:

Patients with heart failure (HF) in skilled nursing facilities (SNFs) have 30-day hospital readmission rates as high as 43%. A virtual cardiovascular care program, consisting of patient selection, initial televisit, postconsultation care planning, and follow-up televisits, was developed and delivered by Heartbeat Health, Inc., a cardiovascular digital health company, to 11 SNFs (3510 beds) in New York. The impact of this program on the expected SNF 30-day HF readmission rate is unknown, particularly in the COVID-19 era.

OBJECTIVE:

The aim of the study was to assess whether a virtual cardiovascular care program could reduce the 30-day hospital readmission rate for patients with HF discharged to SNF relative to the expected rate for this population.

METHODS:

We performed a retrospective case review of SNF patients who received a virtual cardiology consultation between August 2020 and February 2021. Virtual cardiologists conducted 1 or more telemedicine visit via smartphone, tablet, or laptop for cardiac patients identified by a SNF care team. Postconsult care plans were communicated to SNF clinical staff. Patients included in this analysis had a preceding index admission for HF.

RESULTS:

We observed lower hospital readmission among patients who received 1 or more virtual consultations compared with the expected readmission rate for both cardiac (3% vs 10%, respectively) and all-cause etiologies (18% vs 27%, respectively) in a population of 3510 patients admitted to SNF. A total of 185/3510 patients (5.27%) received virtual cardiovascular care via the Heartbeat Health program, and 40 patients met study inclusion criteria and were analyzed, with 26 (65%) requiring 1 televisit and 14 (35%) requiring more than 1. Cost savings associated with this reduction in readmissions are estimated to be as high as US $860 per patient.

CONCLUSIONS:

The investigation provides initial evidence for the potential effectiveness and efficiency of virtual and digitally enabled virtual cardiovascular care on 30-day hospital readmissions. Further research is warranted to optimize the use of novel virtual care programs to transform delivery of cardiovascular care to high-risk populations.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Etiology study / Observational study / Prognostic study Language: English Journal: JMIR Cardio Year: 2021 Document Type: Article Affiliation country: 29101

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Etiology study / Observational study / Prognostic study Language: English Journal: JMIR Cardio Year: 2021 Document Type: Article Affiliation country: 29101