AUTOGRP defined DRGs by dividing a single use measure (i.e., hospital LOS or charges) into "trial" partitions sequentially using clinical variables (Mills et al.
"AUTOGRP: An Interactive Computer System for the Analysis of Health Care Data." Medical Care 14, no.
The AUTOGRP procedure (used for both RUG-II and PDGs) generates "fixed-boundary" groups, where there is no representation of heterogeneity within groups.
In AUTOGRP, clinical characteristics are entered one at a time in some selected sequence to create categories from a continuous service-use measure (e.g., length of stay or minutes of nursing care) that have the smallest within-group, but greatest between-group, variance.
In AUTOGRP, though the single dependent criterion variable is continuous, all clinical attributes used as independent variables to form trial partitions must also be transformed into categorical variables.
In contrast, AUTOGRP minimizes the unexplained variation of a single dependent service-use variable using partitions selected stepwise from a set of discretely coded clinical variables.
To describe the two nursing home case-mix systems, we first discuss their generation by the AUTOGRP procedure.
AUTOGRP was desgiend to be interactive so it can be used in a process for generating groups that involve subjective input.
Both reimbursement systems to be discussed (RUG-II and PDGs) were generated iwth AUTOGRP. Both employed resource use at the patient level as the dependent variable.
In States providing fewer rehabilitation services, this group might not be identified by AUTOGRP.