Comparing Classification Methods

Measurement of Variations in Charges, Length of Stay, and Mortality

Dados Bibliográficos

ID9103096
AutoresSusan D Horn (0000-0003-0199-4513, autor correspondente), Dale N Schumacher (Washburn University)
Ano1982
Volume20
Fascículo5
Páginas489-500
Data de publicação1982-05-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198205000-00005
PMID6808258
OpenAlexW2088860186
IdiomaEN
Citações recebidas8
Referências citadas4

We define and examine three alternative systems for categorizing hospital patients. The first system is based on discharge abstract data alone; the second system is based on discharge abstract data that has been reabstracted from charts for completeness and accuracy; the third system is based on a severity-of-illness index within a diagnostic group. Using acute myocardial infarction patients as an illustrative example, we examine the homogeneity of these categorization systems with respect to charges, length of stay and mortality rates. Our results indicate that a measure of patient severity of illness is essential to produce homogeneous categories to study hospital productivity for utilization review assessment by PSROs, for planning purposes by Health Systems Agencies, for hospital rate setting by cost review commissions and for internal hospital financial management and utilization review studies

Actuarial science · Business · Categorization · Health care · Healthcare system · Homogeneity (statistics) · Homogeneous · Hospital discharge · Intensive care medicine · Medical emergency · Myocardial infarction · Operations management · Statistics · Artificial Intelligence · Computer Science · Emergency Medicine · Engineering · Healthcare Policy and Management · Internal Medicine · Mathematics · Medical Coding and Health Information · Medicine