On the use of administrative databases to support planning activities: the case of the evaluation of neonatal case-mix in the Emilia-Romagna region using DRG and APR-DRG classification systems.
There are several versions of the Diagnosis Related Group (DRG) classification systems that are used for case-mix analysis, utilization review, prospective payment, and planning applications. The objective of this study was to assess the adequacy of two of these DRG systems--Medicare DRG and All Patient Refined DRG--to classify neonatal patients. The first part of the paper contains a descriptive analysis that outlines the major differences between the two systems in terms of classification logic and variables used in the assignment process. The second part examines the statistical performance of each system on the basis of the administrative data collected in all public hospitals of the Emilia-Romagna region relating to neonates discharged in 1997 and 1998. The Medicare DRG are less developed in terms of classification structure and yield a poorer statistical performance in terms of reduction in variance for length of stay. This is important because, for specific areas, a more refined system can prove useful at regional level to remove systematic biases in the measurement of case-mix due to the structural characteristics of the Medicare DRGs classification system.
Fantini
M P
MP
Department of Public Health, University of Bologna, Italy.
Cisbani
L
L
Manzoli
L
L
Vertrees
J
J
Lorenzoni
L
L
D003628:Database Management Systems; D003953:Diagnosis-Related Groups / Q000145:classification* / Q000706:statistics & numerical data; D006779:Hospitals, Public / Q000191:economics / Q000458:organization & administration / Q000706:statistics & numerical data*; D006801:Humans; D007231:Infant, Newborn; D007363:Intensive Care Units, Neonatal / Q000706:statistics & numerical data; D038801:International Classification of Diseases; D007558:Italy; D007902:Length of Stay / Q000706:statistics & numerical data; D010934:Planning Techniques; D012189:Retrospective Studies