Linked Life Data

11459626

Source:http://linkedlifedata.com/resource/pubmed/id/11459626

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2001-7-18
pubmed:abstractText
This paper reports on an application of discrete choice modelling to the measurement of patient preferences over asthma symptoms. A sample of patients with moderate to severe asthma was asked to choose between a series of pairs of scenarios characterised by different combinations of asthma symptoms. Their responses were analysed using a random effects ordered probit model. The results implied that patients weighted some symptoms more highly than others. Discrete choice modelling proved to be a useful approach for developing preference based outcome measures, although the results show how, in contexts where preferences over health care outcomes based on symptoms or some measure of health status are involved, a conventional linear additive model may not always be suitable.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
H
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0168-8510
pubmed:author
pubmed:issnType
Print
pubmed:volume
57
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
193-204
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Symptom-based outcome measures for asthma: the use of discrete choice methods to assess patient preferences.
pubmed:affiliation
Health Economics Research Unit, University of Aberdeen, University Medical Buildings, Foresterhill, Aberdeen, Scotland AB25 2ZD, UK. lmckenzie@abdn.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Validation Studies