Literature DB >> 17895486

Simplified pharmacoeconomics of critical care and severe sepsis.

Frank R Ernst1, Howard Levy, Rebecca L Qualy.   

Abstract

Understanding pharmacoeconomic evaluation can empower clinicians to be stronger decision makers. However, cost-effectiveness analyses (CEAs) in critical care are sometimes not easy to understand and often not placed in context with other interventions. The purpose of this article is to clarify and simplify the CEA process using examples from critical care and severe sepsis. First discussed is cost-effectiveness as a framework for clinical decision making and how it compares to other types of economic evaluations. Then important considerations when conducting or reviewing CEAs are explored, such as perspective, discounting, sensitivity analysis, and grading of CEAs, as well as shortcomings and resistance to using CEAs. Next, applications of CEA in critical care and severe sepsis are reviewed. Included is the Food and Drug Administration-approved drug for severe sepsis, drotrecogin alfa (activated), as an example of a recently new critical care intervention that resulted in significant interest in understanding cost-effectiveness. Finally, CEAs of other medical and nonmedical interventions are placed in context with CEAs from critical care. Understanding pharmacoeconomic evaluation can empower clinicians to be stronger decision makers. CEAs provide decision makers a quantitative measure of the value of therapeutic options that can guide clinicians toward balancing the cost burdens of therapy with their profound effects and choosing between options that compete for funding.

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Year:  2007        PMID: 17895486     DOI: 10.1177/0885066607304231

Source DB:  PubMed          Journal:  J Intensive Care Med        ISSN: 0885-0666            Impact factor:   3.510


  2 in total

1.  Computerized detection of adverse drug reactions in the medical intensive care unit.

Authors:  Sandra L Kane-Gill; Shyam Visweswaran; Melissa I Saul; An-Kwok Ian Wong; Louis E Penrod; Steven M Handler
Journal:  Int J Med Inform       Date:  2011-05-31       Impact factor: 4.046

Review 2.  Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review.

Authors:  Khalia Ackermann; Jannah Baker; Marino Festa; Brendan McMullan; Johanna Westbrook; Ling Li
Journal:  JMIR Med Inform       Date:  2022-05-06
  2 in total

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