Source:http://linkedlifedata.com/resource/pubmed/id/18694091
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2008-8-12
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pubmed:abstractText |
We evaluated the accuracy of diagnostic codes for schizophrenia in identifying actual cases in the historical charts of 801 primary care patients. The rate of schizophrenia by diagnostic code was 14%, whereas the estimated rate based on independent clinical chart review by a trained psychiatrist, using DSM-IV criteria, was 1.8%. The findings suggest that coded data alone should not be used to determine which patients have schizophrenia for research studies.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1942-597X
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
991
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pubmed:dateRevised |
2009-3-9
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pubmed:meshHeading |
pubmed-meshheading:18694091-Chronic Disease,
pubmed-meshheading:18694091-Databases as Topic,
pubmed-meshheading:18694091-Diagnostic Errors,
pubmed-meshheading:18694091-Forms and Records Control,
pubmed-meshheading:18694091-Humans,
pubmed-meshheading:18694091-Medical Records Systems, Computerized,
pubmed-meshheading:18694091-Mental Disorders,
pubmed-meshheading:18694091-Pain,
pubmed-meshheading:18694091-Schizophrenia
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pubmed:year |
2007
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pubmed:articleTitle |
Use of coded and administrative data to identify mental health conditions: impediments and implications in a chronic pain study.
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pubmed:affiliation |
University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
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pubmed:publicationType |
Journal Article,
Evaluation Studies
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