Open Access

Journal of Cardiac and Pulmonary Rehabilitation
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Community-Based Programs to Prevent the Risk of Elderly Falls: Mini Review

Corey Hamel1 and Levan Atanelov2*
1Touro College of Osteopathic Medicine, Middletown, New York, USA
2Steady Strides: Fall Prevention and Stroke Rehabilitation Medical Institute, Baltimore, Maryland, USA
*Corresponding Author: Levan Atanelov, 9199 Reisterstown Rd, Ste 101B, Owings Mills, MD 21117, United States, Email: latanelov@steadystridesmd.com

Received Date: May 14, 2020 / Accepted Date: Jun 01, 2020 / Published Date: Jun 08, 2020

Citation: Hamel C, Atanelov L (2020) Community-Based Programs to Prevent the Risk of Elderly Falls: Mini Review. J Card Pulm Rehabil 4:129.

Copyright: © 2020 Hamel C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 
To read the full article Peer-reviewed Article PDF image

Abstract

Falls and fall-related injuries are common in older adults, including those with cardiac and pulmonary conditions, but thankfully falls are preventable. Despite national guidelines recommending using community-based fall prevention programs to help reduce falls, little is known about their availability at senior centers. This review summarizes pertinent evidence on community-based fall prevention programs that can be deployed for cardiac and pulmonary rehabilitation patients. A novel algorithm for health care workers is proposed based on the available data to help decide how to refer older adults to the appropriate community-based fall prevention programs.

Keywords

Top