Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1991-5-30
pubmed:abstractText
Because the federal government's diagnosis-related group (DRG) classification system for prospective payment has not been widely applied to hospitalized pediatric patients, we analyzed the effectiveness of one DRG category (central nervous system infections) for a single year at a medium-sized children's hospital to control for patients' severity of illness and for hospital reimbursement. Several independent measures of severity of illness (length of stay, duration of fever, Physiologic Severity Index) showed that patients with bacterial meningitis and those with encephalitis (DRG 20) were more ill than those with aseptic meningitis (DRG 21) (p less than 0.001 for each measure). Cost analysis revealed that the hospital was only partially reimbursed for its charges (shortfall of $95,547) and that patients with Medicaid or no insurance accounted for 22% of discharges but 88% of losses. Reimbursement by DRG would have increased payment for DRG 21 but decreased that for DRG 20. If DRGs were applied to pediatric central nervous system infections and used in a prospective payment system, they would accurately predict disease severity between but not within groups, and significant financial losses for children's hospitals would still occur.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0022-3476
pubmed:author
pubmed:issnType
Print
pubmed:volume
118
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
693-7
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
Economic impact of diagnosis-related groups and severity of illness on reimbursement for central nervous system infections.
pubmed:affiliation
Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't