Linked Life Data

18188835

Source:http://linkedlifedata.com/resource/pubmed/id/18188835

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-1-17
pubmed:abstractText
This paper shows how decision theory can be used to determine optimal cut-off scores on mental health screeners. The procedure uses (a) the costs and benefits of correct and erroneous decisions, and (b) the rates of correct and erroneous decisions as a function of the cut-off score. Using this information, for each cut-off point expected costs are calculated. The cut-off point with the lowest expected costs is the optimal cut-off score. An illustration is given in which the General Health Questionnaire is employed as a major depression screener. Optimal cut-off points are determined for four different contexts: patients, health service providers, society, and mental health researchers. As in these four situations different costs are encountered, different optimal cut-off points were found.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1049-8931
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
219-29
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Using decision theory to derive optimal cut-off scores of screening instruments: an illustration explicating costs and benefits of mental health screening.
pubmed:affiliation
Department of Clinical Psychology, Vrije Universiteit, Amsterdam, The Netherlands. n.smits@psy.vu.nl
pubmed:publicationType
Journal Article