Literature DB >> 1826495

Measuring severity of illness: six severity systems and their ability to explain cost variations.

J W Thomas1, M L Ashcraft.   

Abstract

This paper presents results from a study that used a common set of patient records to compared how well different severity measurement systems are able to explain the variations in estimated costs among hospital patients. The systems examined were: APACHE II, MedisGroups, Computerized Severity Index (CSI), Disease Staging, Patient Management Categories (PMCs), and Acuity Index Method. In regressions on costs, all of the measures were found to improve upon DRGs for some types of cases but to offer little or no improvement for others. Indicators of maximum severity, especially Max CSI, explained greater proportions of cost variation than measures of admission severity and measures based on discharge abstracts. In most of the analyses, PMCs and Disease Staging yielded somewhat higher R2 values than the measures of admission severity.

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Year:  1991        PMID: 1826495

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  25 in total

1.  Alternative methods to examine hospital efficiency: data envelopment analysis and stochastic frontier analysis.

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2.  Relevance of outlier cases in case mix systems and evaluation of trimming methods.

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3.  The impact of payer-specific hospital case mix on hospital costs and revenues for third-party patients.

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4.  The effects of case mix on hospital costs and revenues for medicare patients in California.

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Review 5.  Identifying complications and low provider adherence to normative practices using administrative data.

Authors:  D H Kuykendall; C M Ashton; M L Johnson; J M Geraci
Journal:  Health Serv Res       Date:  1995-10       Impact factor: 3.402

Review 6.  How severity measures rate hospitalized patients.

Authors:  J S Hughes; L I Iezzoni; J Daley; L Greenberg
Journal:  J Gen Intern Med       Date:  1996-05       Impact factor: 5.128

7.  Lessons from evaluating an automated patient severity index.

Authors:  R F Gibson; P J Haug; S D Horn
Journal:  J Am Med Inform Assoc       Date:  1996 Sep-Oct       Impact factor: 4.497

8.  Judging hospitals by severity-adjusted mortality rates: the influence of the severity-adjustment method.

Authors:  L I Iezzoni; A S Ash; M Shwartz; J Daley; J S Hughes; Y D Mackiernan
Journal:  Am J Public Health       Date:  1996-10       Impact factor: 9.308

9.  Do severity measures explain differences in length of hospital stay? The case of hip fracture.

Authors:  M Shwartz; L I Iezzoni; A S Ash; Y D Mackiernan
Journal:  Health Serv Res       Date:  1996-10       Impact factor: 3.402

10.  The role of insurance claims databases in drug therapy outcomes research.

Authors:  N J Lewis; J T Patwell; B A Briesacher
Journal:  Pharmacoeconomics       Date:  1993-11       Impact factor: 4.981

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