Home health care visits may reduce the need for early readmission after coronary artery bypass grafting-Reference-Cited by-同舟云学术

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Home health care visits may reduce the need for early readmission after coronary artery bypass grafting

Published:2021-12 Issue:6 Volume:162 Page:1732-1739.e4
ISSN:0022-5223
Container-title:The Journal of Thoracic and Cardiovascular Surgery
language:en
Short-container-title:The Journal of Thoracic and Cardiovascular Surgery

Author:

Deo Salil V.,Sharma Vikas,Altarabsheh Salah E.,Raza Sajjad,Wilson Brigid,Elgudin Yakov,Cmolik Brian

Funder

Louis Stokes Cleveland VA Medical Center

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Reference16 articles.

1. Stability after initial decline in coronary revascularization rates in the United States;Raza;Ann Thorac Surg,2019

2. Risk calculator to predict 30-day readmission after coronary artery bypass: a strategic decision support tool;Deo;Heart Lung Circ,2018

3. Interventions to reduce 30-day rehospitalization: a systematic review;Hansen;Ann Intern Med,2011

4. Reducing readmission rates through a discharge follow-up service;Vernon;Future Healthc J,2019

5. Effect of home-based follow-up intervention on readmissions and mortality in heart failure patients: a meta-analysis;Malik;Future Cardiol,2019

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1. Home Health Care Use and Outcomes After Coronary Artery Bypass Grafting Among Medicare Beneficiaries;Circulation: Cardiovascular Quality and Outcomes;2024-07

2. Global Insights into Chronic Obstructive Pulmonary Disease and Coronary Artery Disease: A Systematic Review and Meta-Analysis of 6,400,000 Patients;Reviews in Cardiovascular Medicine;2024-01-15

3. The role of home healthcare in reducing hospital readmissions and costs in patients with acute myocardial infarction;International Journal of Computational Economics and Econometrics;2024

4. Nationwide database analysis of one-year readmission rates after open surgical or thoracic endovascular repair of Stanford Type B aortic dissection;JTCVS Open;2022-09

5. A Deep Learning Model for Mining Behavioral Preference of Home Care Demanders to Suppliers;City, Society, and Digital Transformation;2022

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