Test Selection Measures

Paul Glasziou; Jørgen Hilden

doi:10.1177/0272989X8900900208

Test Selection Measures

Paul Glasziou^*
, Jørgen Hilden

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

26 Citations (Scopus)

Abstract

Usually, when a patient is being investigated, only a small subset of all available tests is performed. Most selection methods for making this choice fail to account for the risk and cost of the test. By attempting to approximate a decision-analytic ideal, via the concept of quasi-utility, the authors developed the information-to-cost ratio and related measures, which balance the utility of the information gained against the price paid. Measurement of the relative importances of diseases is used to further refine the method. Key words: Test se lection; diagnosis; decision analysis. (Med Decis Making 1989;9:133-141).

Original language	English
Pages (from-to)	133-141
Number of pages	9
Journal	Medical Decision Making
Volume	9
Issue number	2
DOIs	https://doi.org/10.1177/0272989X8900900208
Publication status	Published - Jun 1989
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1177/0272989X8900900208

Cite this

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AB - Usually, when a patient is being investigated, only a small subset of all available tests is performed. Most selection methods for making this choice fail to account for the risk and cost of the test. By attempting to approximate a decision-analytic ideal, via the concept of quasi-utility, the authors developed the information-to-cost ratio and related measures, which balance the utility of the information gained against the price paid. Measurement of the relative importances of diseases is used to further refine the method. Key words: Test se lection; diagnosis; decision analysis. (Med Decis Making 1989;9:133-141).

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Test Selection Measures

Abstract

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