Literature DB >> 9596067

The Home Infusion Therapy/Relative Benefit Index: summary of an analysis using insurance claims data.

H G Birnbaum1, M Tang.   

Abstract

OBJECTIVES: The cost of providing services is the traditional criteria used by payers in making selective contracting decisions regarding home care providers in general, and home infusion therapy (HIT) vendors specifically for this analysis. This approach assumes comparable health outcomes, for which adequate measures often are unavailable. In practice, poor quality can result in a need for remedial services. The objective of this research is to develop a method to use health insurance claims data to incorporate the hidden costs of adverse outcomes into an analysis of the costs of a vendor's HIT.
METHODS: The Home Infusion Therapy/Relative Benefit Index (HIT/RBI) model incorporates measures of both the cost of providing HIT services as well as the cost of remedial treatment for the adverse outcomes that may result from HIT care, eg, emergency room visits. The data source for the analysis is the health care claims for a sample of managed care patients of national insurer for the period 1990 to 1994.
RESULTS: The analysis confirms that adverse clinical outcomes can lead to additional demand for remedial health care with resultant negative financial consequences. When the cost of the adverse outcomes is incorporated into the analysis, vendors who appeared to be low cost on the basis of HIT services, in fact were higher cost vendors, whereas vendors with a high cost of services but with few adverse events were low cost vendors.
CONCLUSIONS: Payers should consider both the clinical and economic consequences of providing care into account in selecting vendors. The HIT/RBI model is a useful tool for incorporating the cost of adverse outcomes into a comprehensive comparison of the cost multiple vendors of HIT services.

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Year:  1998        PMID: 9596067     DOI: 10.1097/00005650-199805000-00016

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


  1 in total

1.  Using healthcare claims data for outcomes research and pharmacoeconomic analyses.

Authors:  H G Birnbaum; P Y Cremieux; P E Greenberg; J LeLorier; J A Ostrander; L Venditti
Journal:  Pharmacoeconomics       Date:  1999-07       Impact factor: 4.981

  1 in total

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