THE USE OF HEALTH ECONOMICS TERMINOLOGY IN CLINICAL PUBLICATIONS- BRIDGING THE GAP FROM CLINICAL EFFECTIVENESS TO COMPARATIVE EFFECTIVENESS

Author(s)

Reich SPAREXEL, Hackensack, NJ, USA

OBJECTIVES:  As the demands of the current regulatory climate and US Health Care Reform call for greater outcomes-based evidence in health care, the scientific literature is increasingly incorporating pharmacoeconomic data into peer-reviewed clinical publications in order to demonstrate value to payer audiences.  Data from clinical outcomes and cost studies are increasingly finding their way into traditional clinical papers and review articles.  It has been observed that variations may exist in the use of health outcomes data and terminology. The purpose of this presentation will be to demonstrate how clearer and more consistent terminology can be integrated into scientific publications and other vehicles in order to more effectively communicate economic and clinical outcomes information.   METHODS:  Using specific examples from clinical publications, the presentation will: Identify and analyze common terms used for communicating health economic and outcomes research information to determine; If they have multiple and/or unclear meanings; How they are being used to convey information; Define the specific meaning of these terms, using language that is understandable to all stakeholder audiences; Provide examples/case studies demonstrating how more uniform and consistent definitions can be integrated into payer-focused clinical publications RESULTS: An overview of the findings regarding how to address specific areas of confusion and inconsistency will be provided. CONCLUSIONS: The results will reiterate the need for clear and consistent terminology in communicating value in clinical publications.       

Conference/Value in Health Info

2010-11, ISPOR Europe 2010, Prague, Czech Republic

Value in Health, Vol. 13, No. 7 (November 2010)

Code

PHP68

Topic

Real World Data & Information Systems

Topic Subcategory

Health & Insurance Records Systems

Disease

Multiple Diseases

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