Literature DB >> 15917742

Incidence and characteristics of naloxone use in postoperative pain management: a critical examination of naloxone use as a potential quality measure.

Debra B Gordon1, Teresa A Pellino.   

Abstract

The administration of naloxone may be an important monitor of the quality and safety of postoperative pain management. However, studies that support the use of naloxone as a quality measure are absent. The purposes of this study are to determine the incidence and factors associated with naloxone administration in the postoperative setting and to critically examine naloxone as a potential quality measure. Participants included all postoperative adult inpatients at an academic hospital who received naloxone and an equal number of matched control patients who did not receive naloxone during the calendar year 2003. Medical record audits were performed to examine patient demographics, relevant medical history, postoperatively administered analgesics and central nervous system depressants, documented sedation and respiratory assessments, reason provided for naloxone administration, and patient outcome. Naloxone was administered to .53% (56/10,511) of all adult inpatient postoperative patients. Patients who received naloxone were significantly older and received more central nervous system depressants than cohorts. No significant differences were found in comorbidities, route of opioid administration, or amount of opioids taken by the two groups. Reversal of excessive opioid-induced sedation was the primary reason provided for naloxone administration. However, 25% of the patients were later determined to have a new diagnosis that contributed to sedation. Examination of naloxone administration proved useful in uncovering deficits in structures and processes of care. However, caution is warranted when using naloxone as a quality measure to avoid the implication that higher use indicates opioid analgesic over-treatment or error.

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Year:  2005        PMID: 15917742     DOI: 10.1016/j.pmn.2004.12.003

Source DB:  PubMed          Journal:  Pain Manag Nurs        ISSN: 1524-9042            Impact factor:   1.929


  9 in total

1.  Predictors of Delayed Postoperative Respiratory Depression Assessed from Naloxone Administration.

Authors:  Toby N Weingarten; Vitaly Herasevich; Maria C McGlinch; Nicole C Beatty; Erin D Christensen; Susan K Hannifan; Amy E Koenig; Justin Klanke; Xun Zhu; Bhargavi Gali; Darrell R Schroeder; Juraj Sprung
Journal:  Anesth Analg       Date:  2015-08       Impact factor: 5.108

2.  Association of OPRM1 A118G variant with risk of morphine-induced respiratory depression following spine fusion in adolescents.

Authors:  V Chidambaran; J Mavi; H Esslinger; V Pilipenko; L J Martin; K Zhang; S Sadhasivam
Journal:  Pharmacogenomics J       Date:  2014-09-30       Impact factor: 3.550

3.  Naloxone Administration in US Emergency Departments, 2000-2011.

Authors:  Joseph W Frank; Cari Levy; Susan L Calcaterra; Jason A Hoppe; Ingrid A Binswanger
Journal:  J Med Toxicol       Date:  2016-06

4.  Quality Assessment of Acute Inpatient Pain Management in an Academic Health Center.

Authors:  Richard J Lin; M Carrington Reid; Amy E Chused; Arthur T Evans
Journal:  Am J Hosp Palliat Care       Date:  2014-08-08       Impact factor: 2.500

5.  Predictors and outcomes following naloxone administration during Phase I anesthesia recovery.

Authors:  Toby N Weingarten; Elisa Y Chong; Darrell R Schroeder; Juraj Sprung
Journal:  J Anesth       Date:  2015-10-08       Impact factor: 2.078

6.  Risk factors for severe opioid-induced respiratory depression in hospitalized adults: A case-control study.

Authors:  Madalina Boitor; Ariane Ballard; Jessica Emed; Sylvie Le May; Céline Gélinas
Journal:  Can J Pain       Date:  2020-05-21

7.  Risk factors for opioid-induced respiratory depression in surgical patients: a systematic review and meta-analyses.

Authors:  Kapil Gupta; Mahesh Nagappa; Arun Prasad; Lusine Abrahamyan; Jean Wong; Toby N Weingarten; Frances Chung
Journal:  BMJ Open       Date:  2018-12-14       Impact factor: 2.692

8.  Predicting opioid-induced oversedation in hospitalised patients: a multicentre observational study.

Authors:  John Garrett; Anneliese Vanston; Gerald Ogola; Briget da Graca; Cindy Cassity; Maria A Kouznetsova; Lauren R Hall; Taoran Qiu
Journal:  BMJ Open       Date:  2021-11-24       Impact factor: 2.692

Review 9.  Opioid-Induced In-Hospital Deaths: A 10-Year Review of Australian Coroners' Cases Exploring Similarities and Lessons Learnt.

Authors:  Nicholas Smoker; Ben Kirsopp; Jacinta Lee Johnson
Journal:  Pharmacy (Basel)       Date:  2021-05-07
  9 in total

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