Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to browse AJSM online!

Sign In to gain access to subscriptions and/or personal tools.
Medical Decision Making
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
0272989X08323299v1
29/1/104    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Felli, J. C.
Right arrow Articles by Cavazzoni, P. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Felli, J. C.
Right arrow Articles by Cavazzoni, P. A.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*Medicines
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Multiattribute Model for Evaluating the Benefit-Risk Profiles of Treatment Alternatives

James C. Felli, PhD

Eli Lilly & Company, Indianapolis, IN, felli_james_c{at}lilly.com

Rebecca A. Noel, DrPH

Eli Lilly & Company, Indianapolis, IN

Patrizia A. Cavazzoni, MD

Eli Lilly & Company, Indianapolis, IN

The assessment of the benefits and risks associated with a medicine's use requires careful consideration of a wealth of information of varying format and quality, ranging from efficacy and safety data derived from randomized clinical trials to statistical results from health outcomes studies to spontaneously reported adverse events. Contrary to the expectations of patients, physicians, and regulators, the literature offers little guidance as to how to strike an appropriate balance between benefit and risk. Although a qualitative listing of a medicine's benefits and risks is useful, much could be gained from a systematic and transparent process to evaluate a medicine's pre- and postmarketing performance. The authors propose a representational model based on multicriteria decision analysis that can incorporate both evaluative judgments from different perspectives (e.g., physician, patient) and quantitative data to inform tradeoffs between multiple benefit and multiple risk elements in a logically consistent and transparent manner. The model is designed to highlight the relative merits and deficits of treatment alternatives in well-defined and specific contexts. It is intended to serve as a common platform to facilitate focused benefit-risk tradeoff discussions between scientists, physicians, regulatory authorities, and pharmaceutical companies, and to assist in the communication of clear and consistent messages regarding those tradeoffs.

Key Words: Key words: benefit-risk analysis • benefit-risk communication • multiattribute decision analysis • pharmaceutical applications • decision analysis. (Med Decis Making 2009;29:104—115)

This version was published on January 1, 2009

Medical Decision Making, Vol. 29, No. 1, 104-115 (2009)
DOI: 10.1177/0272989X08323299


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?