Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information

Sign In to gain access to subscriptions and/or personal tools.
Medical Decision Making
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
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 HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Nease, R. F.
Right arrow Articles by Bonduelle, Y.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nease, R. F., JR.
Right arrow Articles by Bonduelle, Y.
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?

Solid Recommendations from Soft Numbers

The Test/Treatment Decision

Robert F. Nease, JR.

Yann Bonduelle

The authors review the probability threshold approach to test/treatment decisions developed by Pauker and Kassirer, 6,7 emphasizing that certain aspects of the nature of medical decisions call for a new approach. The utility threshold approach, while maintaining all the advantages of threshold methods in general, brings improvements. It diminishes the need to accurately assess one of the decision's parameters: the patient's utility for the outcome states. For a simple case of one disease with three outcome states (cured, diseased, dead) and one test, three utility thresholds are derived. The treat/no treat threshold, denoted by u*, separates the utility space in two. If the patient's value for the diseased state is greater than u*, the analyst can feel confident in recommending the patient forego treatment. Similar interpre tations are developed for u1, the no treatment/test utility threshold (the value u must take, given a positive test result, for the patient to be indifferent between foregoing and receiving treatment), and u2, the test/treatment utility threshold (the value u must take, given a negative test result, for the patient to be indifferent between foregoing and receiving treatment). Key words: medical decision analysis; threshold analysis; utility threshold. (Med Decis Making 7:220-233, 1987)

Medical Decision Making, Vol. 7, No. 4, 220-233 (1987)
DOI: 10.1177/0272989X8700700404


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?


This article has been cited by other articles:


Home page
Med Decis MakingHome page
R. F. Nease and D. K. Owens
A Method for Estimating the Cost- Effectiveness of Incorporating Patient Preferences into Practice Guidelines
Med Decis Making, October 1, 1994; 14(4): 382 - 392.
[Abstract] [PDF]


Home page
Med Decis MakingHome page
C. B. Schechter
Sequential Decision Making with Continuous Disease States and Measurements: II. Application to Diastolic Blood Pressure
Med Decis Making, December 1, 1990; 10(4): 256 - 265.
[Abstract] [PDF]