Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of General I...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of General Internal Medicine
Article . 1991 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
versions View all 2 versions
addClaim

Patients’ interpretations of probability terms

Authors: D J, Mazur; D H, Hickam;

Patients’ interpretations of probability terms

Abstract

To assess the meaning ascribed by patients to qualitative expressions of probability commonly used in medical care and to determine patient preferences for obtaining information when communicating with their physicians about medical risk numerically and/or qualitatively.Cross-sectional survey of consecutive patients.A university-based Department of Veterans Affairs medical center.133 patients sequentially seen in a general medicine clinic.Subjects were given a randomly ordered list of 12 common terms, each a qualitative expression of probability. They were asked to indicate what they understood to be the numerical meaning of each word. The patients' probability estimates were found to comprise two groups of five terms each, with high intercorrelations among the probabilities assigned to the terms in each group. Mean probabilities assigned to terms in the first group all were greater than 60%, and mean probabilities assigned to terms in the second group all were below 50%. When asked whether they wanted chance information to be provided in numerical or qualitative terms, 32% reported that they wanted it only numerically; 35.3% wanted it only qualitatively; 21.8% wanted the information either way; and 8.3% wanted the information both ways.The numerical meanings that patients ascribe to probability terms fall into identifiable patterns. While patients vary in the actual values they assign to terms, the relative meanings of terms show consistent trends.

Keywords

Male, Analysis of Variance, Physician-Patient Relations, Informed Consent, Communication, Middle Aged, Random Allocation, Cross-Sectional Studies, Humans, Female, Factor Analysis, Statistical, Probability

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    78
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
78
Top 10%
Top 1%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!