Linked Life Data

18992379

Source:http://linkedlifedata.com/resource/pubmed/id/18992379

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-11-10
pubmed:abstractText
Mathematical models have been used extensively in the evaluation of chronic diseases and in exploring the health economics of vaccination. In this study, we examine the value of having two different cohort models based on similar assumptions, one comprehensive and one simplified, which can be used to evaluate the impact of cervical cancer vaccination. To compare models, we ran cost-effectiveness analyses in four geographical regions (Italy, the UK, Taiwan and Canada). We show that the models produce comparable results and therefore can be used independently. However, as they require different complexities of data inputs, they are more suited to different circumstances depending on the level of data inputs available or the complexity of the research question asked.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0264-410X
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
26 Suppl 5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
F16-28
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Comparison of detailed and succinct cohort modelling approaches in a multi-regional evaluation of cervical cancer vaccination.
pubmed:affiliation
Health Economics and Outcomes Research, i3 Innovus, 1016-A Sutton Drive, Burlington, Ontario, Canada. Donna.DEBICKI@i3innovus.com
pubmed:publicationType
Journal Article, Comparative Study, Review