Literature DB >> 7860966

The impact of intra-DRG severity of illness on hospital profitability: implications for payment reform.

M D Rosko1, C E Carpenter.   

Abstract

We examined the relationship between variations in intra-DRG severity of illness classifications and hospital profitability. Unlike in previous studies, we created a direct hospital-level measure of severity, formed from MedisGroup severity scores. We estimated separate regression equations for total margin, operating margin, net revenue per admission, and expense per admission. We examined data for 201 Pennsylvania hospitals and found that hospital profits were inversely related to the severity of illness index. Expense per admission was positively related to severity; however the relationship between severity and net revenue per admission was not significant. The results suggest that hospitals with a more severe case mix may not recover the full costs of providing services. Thus payment reform should include adjustments for severity of illness.

Mesh:

Year:  1994        PMID: 7860966     DOI: 10.1215/03616878-19-4-729

Source DB:  PubMed          Journal:  J Health Polit Policy Law        ISSN: 0361-6878            Impact factor:   2.265


  8 in total

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2.  Estimating hospital inefficiency: does case mix matter?

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Review 3.  Performance of US teaching hospitals: a panel analysis of cost inefficiency.

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4.  The impact of TennCare on hospital efficiency.

Authors:  Cyril F Chang; Jennifer L Troyer
Journal:  Health Care Manag Sci       Date:  2009-09

5.  Did budget cuts in Medicaid disproportionate share hospital payment affect hospital quality of care?

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Journal:  Med Care       Date:  2014-05       Impact factor: 2.983

6.  Measuring hospital inefficiency: the effects of controlling for quality and patient burden of illness.

Authors:  Ryan L Mutter; Michael D Rosko; Herbert S Wong
Journal:  Health Serv Res       Date:  2008-09-08       Impact factor: 3.402

7.  One DRG, one price? The effect of patient condition on price variation within DRGs and across hospitals.

Authors:  W J Lynk
Journal:  Int J Health Care Finance Econ       Date:  2001-06

8.  Improved efficiency of coding systems with health information technology.

Authors:  Jinhyung Lee; Jae-Young Choi
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

  8 in total

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