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Original article

Key data elements for use in cost-utility modeling of biological treatments for rheumatoid arthritis

, , &
Pages 366-375 | Accepted 19 Dec 2014, Published online: 19 Jan 2015
 

Abstract

Objectives:

Economic evaluation is becoming more common and important as new biologic therapies for rheumatoid arthritis (RA) are developed. While much has been published about how to design cost-utility models for RA to conduct these evaluations, less has been written about the sources of data populating those models. The goal is to review the literature and to provide recommendations for future data collection efforts.

Methods:

This study reviewed RA cost-utility models published between January 2006 and February 2014 focusing on five key sources of data (health-related quality-of-life and utility, clinical outcomes, disease progression, course of treatment, and healthcare resource use and costs). It provided recommendations for collecting the appropriate data during clinical and other studies to support modeling of biologic treatments for RA.

Results:

Twenty-four publications met the selection criteria. Almost all used two steps to convert clinical outcomes data to utilities rather than more direct methods; most did not use clinical outcomes measures that captured absolute levels of disease activity and physical functioning; one-third of them, in contrast with clinical reality, assumed zero disease progression for biologic-treated patients; little more than half evaluated courses of treatment reflecting guideline-based or actual clinical care; and healthcare resource use and cost data were often incomplete.

Conclusions:

Based on these findings, it is recommended that future studies collect clinical outcomes and health-related quality-of-life data using appropriate instruments that can convert directly to utilities; collect data on actual disease progression; be designed to capture real-world courses of treatment; and collect detailed data on a wide range of healthcare resources and costs.

Transparency

Declaration of funding

This study was funded by Novo Nordisk A/S.

Declaration of financial/other relationships

MLG is an employee of Evidera, formerly a division of United BioSource Corporation. United BioSource Corporation received funding from Novo Nordisk A/S for conducting a literature review as a basis for this study. BBH, MS-L, and XV were all employees at Novo Nordisk A/S or Novo Nordisk Inc. while this work was performed. XV is currently at Bristol-Myers Squibb. Decisions regarding study design, interpretation, and writing and submitting the manuscript were jointly made by the authors.

Acknowledgments

The authors would like to thank Meghan Burns and Amber Martin for their assistance preparing this manuscript.

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