2.50
Hdl Handle:
http://hdl.handle.net/10755/183057
Category:
Abstract
Type:
Presentation
Title:
How to Choose What to Prescribe and Minimize Multi Drug Resistant Organisms
Author(s):
Crenshaw, Nicole; Wyckoff, Mary; Wells, Valerie
Author Details:
Nicole Crenshaw, MSN, ARNP, Jackson Health System, email: mwyckoff@jhsmiami.org; Mary Wyckoff; Valrie Wells
Abstract:
Purpose:
This symposium will provide an overview of the epidemiology of antimicrobial resistance on a global scale. Multi-drug resistant organisms are prevalent worldwide and these infections cause severe illness, especially in acute and chronically ill patient populations. Choosing appropriate antimicrobial therapy has become increasingly complex as more choices become available. Multiple factors affect the choice of agent, and resistance forces vary widely between clinical settings, patient populations, and geographic areas.

Method:
Facilitating the understanding of the cellular mechanisms through which bacteria become resistant is vital for healthcare providers. Individual patient care practices affect resistance within patients and clinical environments. This research-based information and recommendations on how to manage the use of antimicrobial agents, minimize nosocomial infections in acutely-ill patients, and responsibly care for patients, in an age of widespread bacterial resistance will enhance the individual's knowledge base. Recommendations will include description of evidence-based guidelines from professional societies, as well as provision of multiple resources through which participants may further gain knowledge of the state of the science of this important topic

Findings:
Antibiograms based research are an important resource for healthcare professionals involved in deciding and prescribing empiric antibiotic therapy. Appropriate empiric therapy is essential in attempting to treat infections correctly and quickly in an effort to decrease mortality. One of the uses of antibiograms is to identify trends in antibiotic resistance. Basic components of an antibiogram include: antibiotics tested, organisms tested, number of isolates for each organism, percentage susceptibility data for each drug/pathogen combination, specimen sites notations and specific area or unit being tested.
Discussion
This symposium will provide evidence based information on data collection from culture specific information and how to implement antibiogram data into everyday prescriptive practice. This presentation will further provide information for nurse advocates to understand which antibiotics should be prescribed for their patients and when they should be discontinued.
Repository Posting Date:
28-Oct-2011
Date of Publication:
28-Oct-2011
Conference Date:
2009
Conference Name:
6th Annual Florida Magnet Research Conference
Conference Host:
University of South Florida College of Nursing; Magnet Hospitals of Florida; Sigma Theta Tau International; Florida Organization of Nurse Executives
Conference Location:
Kissimmee, Florida
Description:
6th Annual Florida Magnet Research Conference � Theme: Research at the Point of Care. Held 12-13 February 2009 at Gaylord Palms Resort and Convention Center, Kissimmee, Florida, USA.
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleHow to Choose What to Prescribe and Minimize Multi Drug Resistant Organismsen_GB
dc.contributor.authorCrenshaw, Nicoleen_US
dc.contributor.authorWyckoff, Maryen_US
dc.contributor.authorWells, Valerieen_US
dc.author.detailsNicole Crenshaw, MSN, ARNP, Jackson Health System, email: mwyckoff@jhsmiami.org; Mary Wyckoff; Valrie Wellsen_US
dc.identifier.urihttp://hdl.handle.net/10755/183057-
dc.description.abstractPurpose:<br/>This symposium will provide an overview of the epidemiology of antimicrobial resistance on a global scale. Multi-drug resistant organisms are prevalent worldwide and these infections cause severe illness, especially in acute and chronically ill patient populations. Choosing appropriate antimicrobial therapy has become increasingly complex as more choices become available. Multiple factors affect the choice of agent, and resistance forces vary widely between clinical settings, patient populations, and geographic areas. <br/><br/>Method:<br/>Facilitating the understanding of the cellular mechanisms through which bacteria become resistant is vital for healthcare providers. Individual patient care practices affect resistance within patients and clinical environments. This research-based information and recommendations on how to manage the use of antimicrobial agents, minimize nosocomial infections in acutely-ill patients, and responsibly care for patients, in an age of widespread bacterial resistance will enhance the individual's knowledge base. Recommendations will include description of evidence-based guidelines from professional societies, as well as provision of multiple resources through which participants may further gain knowledge of the state of the science of this important topic<br/><br/>Findings:<br/>Antibiograms based research are an important resource for healthcare professionals involved in deciding and prescribing empiric antibiotic therapy. Appropriate empiric therapy is essential in attempting to treat infections correctly and quickly in an effort to decrease mortality. One of the uses of antibiograms is to identify trends in antibiotic resistance. Basic components of an antibiogram include: antibiotics tested, organisms tested, number of isolates for each organism, percentage susceptibility data for each drug/pathogen combination, specimen sites notations and specific area or unit being tested.<br/>Discussion<br/>This symposium will provide evidence based information on data collection from culture specific information and how to implement antibiogram data into everyday prescriptive practice. This presentation will further provide information for nurse advocates to understand which antibiotics should be prescribed for their patients and when they should be discontinued.en_GB
dc.date.available2011-10-28T16:12:43Z-
dc.date.issued2011-10-28en_GB
dc.date.accessioned2011-10-28T16:12:43Z-
dc.conference.date2009en_US
dc.conference.name6th Annual Florida Magnet Research Conferenceen_US
dc.conference.hostUniversity of South Florida College of Nursingen_US
dc.conference.hostMagnet Hospitals of Floridaen_US
dc.conference.hostSigma Theta Tau Internationalen_US
dc.conference.hostFlorida Organization of Nurse Executivesen_US
dc.conference.locationKissimmee, Floridaen_US
dc.description6th Annual Florida Magnet Research Conference � Theme: Research at the Point of Care. Held 12-13 February 2009 at Gaylord Palms Resort and Convention Center, Kissimmee, Florida, USA.en_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.