Literature DB >> 7419420

A conceptual model of the case-based payment scheme for New Jersey hospitals.

J B Reiss.   

Abstract

In this paper I propose a methodology for paying short-term general hospitals on the basis of prospective cost-based case-mix revenue budgets. A hospital's budget is divided into patient care--related components and other components. The patient care--related budget is based on the case mix of patients treated by the hospital. Diagnosis-related groupings of patients are developed and a revenue per case amount is calculated for each group, based on reasonable costs of treatment, with a profit incentive for cost reduction resulting from improvements in productivity, efficiency, or more rational delivery of hospital services. The institutional budget is calculated on the basis of interinstitutional comparisons using a peer grouping method. I discuss various fundamental issues related to payment including paying for bad debt and indigency, the effect of insurance coverage, and a regional approach to capital funding. Case-mix payment allow for closer integration of payer programs with the activities of Professional Standards Review Organizations and health planning agencies. Additionally, payment based on the treatment of patients encourages a clear-cut management relationship between physician activities and hospital programs.

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Year:  1980        PMID: 7419420      PMCID: PMC1072155     

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


  2 in total

1.  Case mix and resource use.

Authors:  J D Thompson; R B Fetter; C D Mross
Journal:  Inquiry       Date:  1975-12       Impact factor: 1.730

2.  The impact of certificate-of need controls on hospital investment.

Authors:  D S Salkever; T W Bice
Journal:  Milbank Mem Fund Q Health Soc       Date:  1976
  2 in total
  1 in total

1.  A case mix simulation decision support system model for negotiating hospital rates.

Authors:  M E Hatcher; C Connelly
Journal:  J Med Syst       Date:  1988-12       Impact factor: 4.460

  1 in total

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