Length-of-Stay Variations Within Icda-8 Diagnosis-Related Groups

Bibliographic Data

ID9100331
AuthorsS E Berki (University of Michigan), Marie L F Ashcraft (University of Michigan), William Newbrander (University of Michigan), William C Newbrander
Year1984
Volume22
Issue2
Pages126-142
Publication date1984-02-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198402000-00004
PMID6422169
OpenAlexW2022125871
LanguageEN
Citations received5
References cited11

The number of bed days per inpatient episode, the length of stay (LOS), is a major indicator of hospital performance and a basic measure of patients' resource consumption. Hospital reimbursement on the basis of treated cases requires a system for accurately identifying case categories. Diagnosis Related Groups (DRGs) have been proposed for this purpose. An initial study to analyze variations in length of stay and resource consumption within DRGs is presented. Regression analysis of variation in ALOS for 7 DRGs, in terms of 8-10 independent variables not included in the classification scheme itself, was done. Results indicate that 30-65% of the large intra-DRG LOS variations are explainable by indicators of case complexity and severity despite the homogeneity claimed for the DRGs. For certain DRGs, such variations are also related to admission factors. Results indicate the need for more precise patient taxonomies than the ICDA-8-based DRGs

Case mix index · Diagnosis-related group · Environmental resource management · Health care · Homogeneity (statistics) · Regression analysis · Reimbursement · Resource consumption · Resource use · Statistics · Advanced Statistical Process Monitoring · Emergency Medicine · Healthcare Operations and Scheduling Optimization · Healthcare Policy and Management · Mathematics · Medicine · Nursing