Comparing Classification Methods

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

Datos Bibliográficos

ID9103096
AutoresSusan D Horn (0000-0003-0199-4513, autor de correspondencia), Dale N Schumacher (Washburn University)
Año1982
Volumen20
Número5
Páginas489-500
Fecha de publicación1982-05-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198205000-00005
PMID6808258
OpenAlexW2088860186
IdiomaEN
Citas recibidas8
Referencias 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