Linked Life Data

2533174

Source:http://linkedlifedata.com/resource/pubmed/id/2533174

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1990-3-14
pubmed:abstractText
Methods for measuring illness severity are receiving increasing attention from payers, purchasers, and others interested in the equity and financial incentives of prospective payment systems, as well as from those concerned with the use of mortality rates and other outcomes to measure quality of care. Several methodologies have been proposed for measuring the severity of illness of patients admitted to hospitals. When choosing among the available measures, one characteristic of interest is reliability. In this paper, we present a comparative evaluation of interrater reliability among four severity measures--APACHE II, MedisGroups, Patient Management Categories (PMCs), and Disease Staging Q-Scale--as well as for the Diagnosis Related Groups (DRG) classification system. The results show APACHE II, MedisGroups, and DRGs to be highly reliable, with Inter-Rater Reliability Coefficient (RI) values greater than .8. PMCs and Disease Staging Q-Scale were able to achieve fair-to-good levels of reliability. Results are consistent regardless of which reliability statistics are used.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0046-9580
pubmed:author
pubmed:issnType
Print
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
483-92
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1989
pubmed:articleTitle
Measuring severity of illness: a comparison of interrater reliability among severity methodologies.
pubmed:affiliation
School of Public Health, University of Michigan, Ann Arbor 48109-2029.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't