Linked Life Data

11784900

Source:http://linkedlifedata.com/resource/pubmed/id/11784900

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2002-1-10
pubmed:abstractText
This study focused on the reliability of the DSM-III inventory of psychiatric symptoms in representative general population samples in three Brazilian cities. Reliability was assessed through two different designs: inter-rater reliability and internal consistency. Diagnosis of lifetime (k = 0.46) and same-year generalized anxiety (k = 1.00), lifetime depression (k = 0.77), and lifetime alcohol abuse and dependence (k = 1.00) was consistently reliable in the two methods. Lifetime diagnosis of agoraphobia (k = 1.00), simple phobia (k = 0.77), non-schizophrenic psychosis (k = 1.00), and psychological factors affecting physical health (1.00) showed excellent reliability as measured by the kappa coefficient. The main reliability problem in general population studies is the low prevalence of certain diagnoses, resulting in small variability in positive answers and hindering kappa estimation. Therefore it was only possible to examine 11 of 39 diagnoses in the inventory. We recommend test and re-test methods and a short time interval between interviews to decrease the errors due to such variations.
pubmed:language
por
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0102-311X
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1393-402
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:articleTitle
[Reliability of diagnostic instruments: investigating the psychiatric DSM-III checklist applied to community samples].
pubmed:affiliation
Núcleo de Estatística e Metodologia Aplicadas, Departamento de Psiquiatria, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, 04026-001, Brasil.
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't, Evaluation Studies