Literature DB >> 3121959

Modified DRGs as evidence for variability in patient severity.

B J McNeil1, G F Kominski, A Williams-Ashman.   

Abstract

The authors were interested in exploring the extent to which differences in the complexity of patients could be determined by modifications in combinations of the ICD-9-CM codes used to define DRGs. The 150 most common medical and surgical DRGs in one teaching hospital were studied. With clinical experts they identified 41 DRGs that were believed to have subgroups reflecting quite different types of patients, one group sicker and costlier than the other. Using a national data set, the authors then showed that 24 of these DRGs showed significant differences in standardized charges. In 11 of these 24 DRGs the higher cost subgroups were seen proportionately more often in major teaching hospitals compared with other types of hospitals. Results suggest that clinical modifications of a few DRGs would lead to clinically more meaningful case-mix groupings. These same results can also serve as the basis for a discussion on the implication of DRG payments for those DRGs with distributional differences among the higher-cost subgroups.

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Mesh:

Year:  1988        PMID: 3121959     DOI: 10.1097/00005650-198801000-00006

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  5 in total

1.  A method for analyzing inpatient care variability through physicians' orders.

Authors:  Matthew C Lenert; Randolph A Miller; Yevgeniy Vorobeychik; Colin G Walsh
Journal:  J Biomed Inform       Date:  2019-01-30       Impact factor: 6.317

2.  [Program for a medical information system at the Public Welfare Hospitals in Paris].

Authors:  P Frutiger; J M Fessler
Journal:  Soz Praventivmed       Date:  1989

3.  Should episode-based economic profiles be risk adjusted to account for differences in patients' health risks?

Authors:  J William Thomas
Journal:  Health Serv Res       Date:  2006-04       Impact factor: 3.402

4.  Trauma case mix and hospital payment: the potential for refining DRGs.

Authors:  E J MacKenzie; D M Steinwachs; A I Ramzy; J W Ashworth; B Shankar
Journal:  Health Serv Res       Date:  1991-04       Impact factor: 3.402

5.  DRGs and severity of illness measures: an analysis of patient classification systems.

Authors:  M D Rosko
Journal:  J Med Syst       Date:  1988-08       Impact factor: 4.460

  5 in total

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