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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of PeriAnest...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of PeriAnesthesia Nursing
Article . 2002 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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PACU pain management algorithm

Authors: Helen E, Buss; Karen, Melderis;

PACU pain management algorithm

Abstract

Effective and safe pain management for a patient emerging from the effects of anesthesia is a specialized skill that is often acquired only through years of experience. This article provides perianesthesia nurses with a technique to assess the cognitively impaired postanesthesia patient and to incorporate vital circumstantial criteria in determining the presence of pain. Intervention recommendations are also included. The pain management algorithm includes research-based information from the following sources: Pain: Clinical Manual (ed 2), by pain nurse experts Margo McCaffery, RN, MS, FAAN, and Chris Pasero, RN, MS; and the American Pain Society's Principles of Analgesic Use in the Treatment of Acute Pain and Cancer Pain (ed 4). Parameters are incorporated for clinical use.

Related Organizations
Keywords

Pain, Postoperative, Humans, Postanesthesia Nursing, Algorithms, Patient Care Planning, Patient Discharge

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
Related to Research communities
Cancer Research
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