GROWTH, CHARACTERISTICS, AND QUALITY OF THE COST-UTILITY LITERATURE THROUGH 2003

Author(s)

Jennifer A. Palmer, MS, Research Associate1, Joshua T. Cohen, PhD, Lecturer and Research Scientist2, Gary L. Cochran, PharmD, SM, Assistant Professor3, Adi Eldar-Lissai, MBA, Doctoral Student4, Dan Greenberg, PhD, Faculty5, Tara A. Lavelle, MS, Doctoral Student6, Si-Tien Wang, BA, Master's Student7, Peter J. Neumann, ScD, Professor21Tufts-New England Medical Center, Boston, MA, USA; 2 Tufts University School of Medicine, Boston, MA, USA; 3 University of Nebraska Medical Center, Omaha, NE, USA; 4 University of Rochester, Rochester, NY, USA; 5 Ben-Gurion University of the Negev, Beer-Sheva, Israel; 6 Harvard University, Cambridge, MA, USA; 7 Harvard School of Public Health, Boston, MA, USA

OBJECTIVES: 1) To quantify and characterize the cost-utility analyses (CUAs) published in the scientific literature through 2003; and 2) to examine methodological practices used in these CUAs. This paper builds upon our previous analyses that evaluated CUAs from 1976 through 2001. METHODS: We systematically searched Medline and the Health Economic Evaluations Database (HEED) for original CUAs written in English and published during 2002-2003 to update a comprehensive registry of CUAs (www.tufts-nemc.org/cearegistry). Two trained readers independently extracted data on the characteristics and methodology of each study. We compared recently published (2002-2003) with previously published (1976-2001) data. RESULTS: Our previous search identified 533 original CUAs published during 1976-2001; a finding of 262 studies published during 2002-2003 increased the sample by almost 50%. In the 1976-2001 and 2002-2003 data, most studies were based in the US (61%, 53%) and written by academics (90%, 92%). Studies examined treatment (63%, 62%) more than primary (14%, 16%) and secondary (22%, 21%) prevention. The most frequent condition studied was cardiovascular disease (21%, 18%). Percentage of funding by the pharmaceutical and device industry did not change substantially (19%, 23%). Studies improved with time across the two datasets: disclosing funding source (65% vs. 71%), stating year of currency (76% vs. 82%), reporting incremental ratios (59% vs. 79%), and using probabilistic sensitivity analyses (9% vs. 28%). CONCLUSIONS: The publication of CUAs has accelerated in recent years. Use of recommended methods has increased, although a sizeable number of analyses still do not adhere to best practice. Continued monitoring of these trends is crucial to enhancing the quality of the field.

Conference/Value in Health Info

2006-10, ISPOR Europe 2006, Copenhagen, Denmark

Value in Health, Vol. 9, No.6 (November/December 2006)

Code

MC1

Topic

Economic Evaluation

Topic Subcategory

Cost/Cost of Illness/Resource Use Studies

Disease

Multiple Diseases

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