Literature DB >> 1464535

A study of the relationship between severity of illness and hospital cost in New Jersey hospitals.

R F Averill1, T E McGuire, B E Manning, D A Fowler, S D Horn, P S Dickson, M J Coye, D L Knowlton, J A Bender.   

Abstract

In response to concerns over the equity of diagnosis-related group (DRG)-based prospective payment, the New Jersey Department of Health conducted a Severity of Illness evaluation study in which severity of illness, DRG, and uniform cost information were collected for 76,798 patients in 25 hospitals. Severity of illness was measured using the Computerized Severity Index (CSI) and was found to be a significant determinant of hospital cost in 76 DRGs that accounted for 41.4 percent of the total direct hospital patient care costs and 27 percent of the patients. The addition of CSI severity levels to the 76 DRGs reduced the coefficient of variation of cost in these DRGs by 17.4 percent and improved the overall reduction in variance of cost within the 76 DRGs by 38.2 percent. The change in total hospital payments due to the addition of severity for the 76 DRGs varied from a positive 5.71 percent to a negative 5.48 percent. These results demonstrate that a severity adjustment to this subset of DRGs would result in a more equitable DRG-based prospective payment system.

Entities:  

Mesh:

Year:  1992        PMID: 1464535      PMCID: PMC1069899     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  12 in total

1.  Severity indices: potential uses in quality measurement.

Authors:  S D Horn; J M Buckle
Journal:  Top Health Rec Manage       Date:  1989-12

2.  Severity of illness within DRGs. Homogeneity study.

Authors:  S D Horn; R A Horn; P D Sharkey; A F Chambers
Journal:  Med Care       Date:  1986-03       Impact factor: 2.983

3.  Refining case-mix adjustment. The research evidence.

Authors:  S F Jencks; A Dobson
Journal:  N Engl J Med       Date:  1987-09-10       Impact factor: 91.245

4.  The utility of severity of illness information in assessing the quality of hospital care. The role of the clinical trajectory.

Authors:  L I Iezzoni; J D Restuccia; M Shwartz; D Schaumburg; G A Coffman; B E Kreger; J R Butterly; H P Selker
Journal:  Med Care       Date:  1992-05       Impact factor: 2.983

5.  Three case-type classifications: suitability for use in reimbursing hospitals.

Authors:  R P Ament; J L Dreachslin; E J Kobrinski; W R Wood
Journal:  Med Care       Date:  1982-05       Impact factor: 2.983

6.  Implications of DRG payments for medical intensive care.

Authors:  C J Coulton; D McClish; H Doremus; S Powell; S Smookler; D L Jackson
Journal:  Med Care       Date:  1985-08       Impact factor: 2.983

7.  Admission MedisGroups score and the cost of hospitalizations.

Authors:  L I Iezzoni; A S Ash; J L Cobb; M A Moskowitz
Journal:  Med Care       Date:  1988-11       Impact factor: 2.983

8.  Measuring severity of illness: comparisons across institutions.

Authors:  S D Horn
Journal:  Am J Public Health       Date:  1983-01       Impact factor: 9.308

9.  Disease staging and PMCs. Can they improve DRGs?

Authors:  K A Calore; L Iezzoni
Journal:  Med Care       Date:  1987-08       Impact factor: 2.983

10.  The Severity of Illness Index as a severity adjustment to diagnosis-related groups.

Authors:  S D Horn; R A Horn; P D Sharkey
Journal:  Health Care Financ Rev       Date:  1984
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  30 in total

1.  Coding response to a case-mix measurement system based on multiple diagnoses.

Authors:  Colin Preyra
Journal:  Health Serv Res       Date:  2004-08       Impact factor: 3.402

2.  Measuring case-mix complexity of tertiary care hospitals using DRGs.

Authors:  Hayoung Park; Youngsoo Shin
Journal:  Health Care Manag Sci       Date:  2004-02

3.  Physical therapy activities in stroke, knee arthroplasty, and traumatic brain injury rehabilitation: their variation, similarities, and association with functional outcomes.

Authors:  Gerben DeJong; Ching-Hui Hsieh; Koen Putman; Randall J Smout; Susan D Horn; Wenqiang Tian
Journal:  Phys Ther       Date:  2011-10-14

4.  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

5.  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

6.  The SCIRehab project: treatment time spent in SCI rehabilitation. Nursing bedside education and care management time during inpatient spinal cord injury rehabilitation.

Authors:  Jeannine Rundquist; Julie Gassaway; Joy Bailey; Patricia Lingefelt; Ivy Anne Reyes; Jane Thomas
Journal:  J Spinal Cord Med       Date:  2011       Impact factor: 1.985

7.  The SCIRehab project: treatment time spent in SCI rehabilitation. Occupational therapy treatment time during inpatient spinal cord injury rehabilitation.

Authors:  Teresa Foy; Ginger Perritt; Deepa Thimmaiah; Lauren Heisler; Jennifer Lookingbill Offutt; Kara Cantoni; Ching-Hui Hseih; Julie Gassaway; Rebecca Ozelie; Deborah Backus
Journal:  J Spinal Cord Med       Date:  2011       Impact factor: 1.985

8.  The SCIRehab project: treatment time spent in SCI rehabilitation. Physical therapy treatment time during inpatient spinal cord injury rehabilitation.

Authors:  Sally Taylor-Schroeder; Jacqueline LaBarbera; Shari McDowell; Jeanne M Zanca; Audrey Natale; Sherry Mumma; Julie Gassaway; Deborah Backus
Journal:  J Spinal Cord Med       Date:  2011       Impact factor: 1.985

9.  The SCIRehab project: treatment time spent in SCI rehabilitation. Speech-language pathology treatment time during inpatient spinal cord injury rehabilitation: the SCIRehab project.

Authors:  Rebecca Brougham; Dana Spivak David; Viki Adornato; Wendy Gordan; Beverly Dale; Amy C Georgeadis; Julie Gassaway
Journal:  J Spinal Cord Med       Date:  2011       Impact factor: 1.985

10.  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

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