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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
12
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pubmed:dateCreated |
2007-11-16
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pubmed:abstractText |
Previous studies have evaluated whether the addition of multiple laboratory and clinical factors to administrative data, or reabstraction of administrative data, improve the accuracy of risk adjustment. This study assessed if a more feasible strategy of adding 3 readily accessible clinical variables to hospital administrative data might improve the risk adjustment for interhospital comparisons.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Dec
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pubmed:issn |
0025-7079
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
45
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1180-5
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pubmed:meshHeading |
pubmed-meshheading:18007168-Age Factors,
pubmed-meshheading:18007168-Aged,
pubmed-meshheading:18007168-Blood Pressure,
pubmed-meshheading:18007168-Comorbidity,
pubmed-meshheading:18007168-Electrocardiography,
pubmed-meshheading:18007168-Female,
pubmed-meshheading:18007168-Heart Rate,
pubmed-meshheading:18007168-Humans,
pubmed-meshheading:18007168-Male,
pubmed-meshheading:18007168-Models, Statistical,
pubmed-meshheading:18007168-Myocardial Infarction,
pubmed-meshheading:18007168-Patient Admission,
pubmed-meshheading:18007168-Risk Adjustment,
pubmed-meshheading:18007168-Sex Factors
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pubmed:year |
2007
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pubmed:articleTitle |
Should we add clinical variables to administrative data?: The case of risk-adjusted case fatality rates after admission for acute myocardial infarction.
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pubmed:affiliation |
Epidemiology Services Unit, Queensland Health, The University of Queensland, Brisbane, Australia.
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pubmed:publicationType |
Journal Article
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