ArticleHealth care management science2004
DRG-based cost minimization models: applications in a hospital environment.
Article in Health care management science, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- [Cost-effectiveness of hernia repair : IPOM versus open sublay mesh technique].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2011Article
- Modeling the impact of comorbidity on breast cancer patient outcomes.Health care management science · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The primary objective of this article is to investigate the feasibility of the application of cost minimization analysis in a teaching hospital environment. The investigation is concerned with the development of cost per admission and cost per patient day models. These models are further used for determining the value of the length of stay that would minimize cost per patient day (projected length of stay) and for estimating the costs. This study is based on total of 94,500 observations (1999 and 2000), obtained from a teaching hospital in South Florida. The top ten Diagnosis Related Groups (DRGs) with the highest volume are selected and classified into four insurance categories: Medicaid, Medicare, commercial, and self-pay. The cost models are fitted to the data for an average R2 value of 79%, and a MAPE value of 15%. The result demonstrates that if a hospital can control the length of stay at the projected level, on average, the cost per admission and the cost per patient day will decrease. Based on 6,367 admissions for the selected DRGs in 2000, the total cost per year and the cost per patient day decreased by approximately 11.58 and 10.35%, respectively. Overall, these results confirm that the concept of cost minimization analysis in economic theory can be applied to healthcare industries for the purpose of reducing of costs. In addition, this research offers a decision support instrument for healthcare administrators.
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Registered trials
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