Fall Prevention Algorithm for the Older Adult Population: A DNP Project Utilizing Evidence-Based Practice and Translational Research

2.50
Hdl Handle:
http://hdl.handle.net/10755/335643
Category:
Full-text
Type:
Presentation
Title:
Fall Prevention Algorithm for the Older Adult Population: A DNP Project Utilizing Evidence-Based Practice and Translational Research
Author(s):
Williams, Jeffrey
Lead Author STTI Affiliation:
Delta Alpha at Large
Author Details:
Jeffrey Williams, DNP, RN, CCRN, CCNS, jsw082668@gmail.com
Abstract:
Session presented on Saturday, July 26, 2014: Significance/Background: Prevention of falls in the older population is an important issue in patient safety. Assessing patients for fall risk is a standard part of the hospital admission process. The American Geriatrics Society (AGS), in collaboration with the British Geriatrics Society (BGS), revised and published an updated version of its previously published guideline entitled 'Falls Prevention in the Older Person.' The updated version is titled '2010 AGS/BGS Clinical Practice Guideline: Prevention of falls in older persons.' Purpose: The purpose of this project was to decrease the risk of falling in the older adult population during hospitalization with the utilization of an adapted evidence-based fall prevention algorithm. The decreased risk of falling will lead to a decrease in the number of falls in the older adult acute care patient. Intervention: The intervention utilized an adaptation of the algorithm, established within the guideline for the prevention of falls in older persons living in the community within an acute care unit in those patients over 65 years of age. Evaluation: Evaluation of the adapted algorithm occurred in a twofold process. First, the adapted algorithm was evaluated by comparing the number of falls and the fall rate before and after implementation of the algorithm. Second, the algorithm itself was evaluated with a simple survey given to the registered nurses on the pilot unit that evaluated multiple aspects including ease of use, the education received on the TUG test, the simplicity of the TUG test, and whether or not the adapted algorithm is a beneficial tool. The survey was given through Survey Monkey utilizing an online survey tool. Discussion: Falls prevention in the older adult in the acute care setting must be a priority for all healthcare organizations. The importance of falls prevention in the older adult in the acute care setting must be reinforced at all levels of the healthcare organization. The older adult population is growing as will the number of hospital admissions. Nurses provide most of the patient care and spend the most time with patients, which places nurses in the perfect position to be the champions of fall prevention. The use of an algorithms is simple and beneficial, allowing nurses to target specific safety related aspects of patient care. Through the use of the algorithm, healthcare organizations will be able to reduce the risk of falls in the older adult, thus reducing the number of falls in the older adult in the acute care setting.
Keywords:
Older adult; Falls; Acute care
Repository Posting Date:
17-Nov-2014
Date of Publication:
11 ; 11
Conference Date:
2014
Conference Name:
25th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Hong Kong
Description:
International Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kong

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.language.isoenen
dc.type.categoryFull-texten
dc.typePresentationen
dc.titleFall Prevention Algorithm for the Older Adult Population: A DNP Project Utilizing Evidence-Based Practice and Translational Researchen
dc.contributor.authorWilliams, Jeffreyen
dc.contributor.departmentDelta Alpha at Largeen
dc.author.detailsJeffrey Williams, DNP, RN, CCRN, CCNS, jsw082668@gmail.comen
dc.identifier.urihttp://hdl.handle.net/10755/335643-
dc.description.abstractSession presented on Saturday, July 26, 2014: Significance/Background: Prevention of falls in the older population is an important issue in patient safety. Assessing patients for fall risk is a standard part of the hospital admission process. The American Geriatrics Society (AGS), in collaboration with the British Geriatrics Society (BGS), revised and published an updated version of its previously published guideline entitled 'Falls Prevention in the Older Person.' The updated version is titled '2010 AGS/BGS Clinical Practice Guideline: Prevention of falls in older persons.' Purpose: The purpose of this project was to decrease the risk of falling in the older adult population during hospitalization with the utilization of an adapted evidence-based fall prevention algorithm. The decreased risk of falling will lead to a decrease in the number of falls in the older adult acute care patient. Intervention: The intervention utilized an adaptation of the algorithm, established within the guideline for the prevention of falls in older persons living in the community within an acute care unit in those patients over 65 years of age. Evaluation: Evaluation of the adapted algorithm occurred in a twofold process. First, the adapted algorithm was evaluated by comparing the number of falls and the fall rate before and after implementation of the algorithm. Second, the algorithm itself was evaluated with a simple survey given to the registered nurses on the pilot unit that evaluated multiple aspects including ease of use, the education received on the TUG test, the simplicity of the TUG test, and whether or not the adapted algorithm is a beneficial tool. The survey was given through Survey Monkey utilizing an online survey tool. Discussion: Falls prevention in the older adult in the acute care setting must be a priority for all healthcare organizations. The importance of falls prevention in the older adult in the acute care setting must be reinforced at all levels of the healthcare organization. The older adult population is growing as will the number of hospital admissions. Nurses provide most of the patient care and spend the most time with patients, which places nurses in the perfect position to be the champions of fall prevention. The use of an algorithms is simple and beneficial, allowing nurses to target specific safety related aspects of patient care. Through the use of the algorithm, healthcare organizations will be able to reduce the risk of falls in the older adult, thus reducing the number of falls in the older adult in the acute care setting.en
dc.subjectOlder adulten
dc.subjectFallsen
dc.subjectAcute careen
dc.date.available2014-11-17T13:56:30Z-
dc.date.issued11/17/2014-
dc.date.issued11/17/2014en
dc.date.accessioned2014-11-17T13:56:30Z-
dc.conference.date2014en
dc.conference.name25th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationHong Kongen
dc.descriptionInternational Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kongen
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.