Dataset Information

Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales.

ABSTRACT:

Background

In the complex domain of medical decision making, reasoning under uncertainty can benefit from supporting tools. Automated decision support tools often build upon mathematical models, such as Bayesian networks. These networks require probabilities which often have to be assessed by experts in the domain of application. Probability response scales can be used to support the assessment process. We compare assessments obtained with different types of response scale.

Methods

General practitioners (GPs) gave assessments on and preferences for three different probability response scales: a numerical scale, a scale with only verbal labels, and a combined verbal-numerical scale we had designed ourselves. Standard analyses of variance were performed.

Results

No differences in assessments over the three response scales were found. Preferences for type of scale differed: the less experienced GPs preferred the verbal scale, the most experienced preferred the numerical scale, with the groups in between having a preference for the combined verbal-numerical scale.

Conclusion

We conclude that all three response scales are equally suitable for supporting probability assessment. The combined verbal-numerical scale is a good choice for aiding the process, since it offers numerical labels to those who prefer numbers and verbal labels to those who prefer words, and accommodates both more and less experienced professionals.

SUBMITTER: Witteman CL

PROVIDER: S-EPMC1903351 | biostudies-literature | 2007 Jun

REPOSITORIES: biostudies-literature

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Publications

Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales.

Witteman Cilia L M CL Renooij Silja S Koele Pieter P

BMC medical informatics and decision making 20070611

<h4>Background</h4>In the complex domain of medical decision making, reasoning under uncertainty can benefit from supporting tools. Automated decision support tools often build upon mathematical models, such as Bayesian networks. These networks require probabilities which often have to be assessed by experts in the domain of application. Probability response scales can be used to support the assessment process. We compare assessments obtained with different types of response scale.<h4>Methods</h ...[more]

PMID: 17562000

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Dataset Information

Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales.

Background

Methods

Results

Conclusion

Publications

Medicine in words and numbers: a cross-sectional survey comparing probability assessment scales.

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