Performance of French intensive care units: A directional distance function approach at the patient level

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Title: Performance of French intensive care units: A directional distance function approach at the patient level
Authors: Dervaux, B.1 bdervaux@cresge.fr, Leleu, H.2 h.leleu@ieseg.fr, Minvielle, E.3 etienne.minvielle@igr.fr, Valdmanis, V.4 v.valdma@usip.edu, Aegerter, P.5,6 philippe.aegerter@apr.ap-hop-paris.fr, Guidet, B.7,8,9 bertrand.guidet@sat.ap-hop-paris.fr
Source: International Journal of Production Economics. Aug2009, Vol. 120 Issue 2, p585-594. 10p.
Subjects: Economic models, Factors of production, Estimation theory, Stochastic processes, Productivity accounting, Intensive care units, Critical care medicine, Hospital emergency services
Abstract: Abstract: By using a novel adaptation of the free-disposable hull analysis of productivity, we assess the medical and technical efficiency of patient care in 25 Parisian intensive care units (ICUs) during 2000. The robust free disposable hull (RFDH) as defined by [Cazals et al., 2002. Nonparametric frontier estimation: a robust approach. Journal of Econometrics 106, 1–25] reduces the impact outliers may have on findings by employing Monte-Carlo techniques and repeated sample selection. Among our key findings, there was no overall significant correlation between medical and technical efficiencies for all the ICUs, therefore performing well in one does not guarantee good performance in the other. We also found that over 80% of inefficiency is concentrated in less than 20% of the sampled patients. [Copyright &y& Elsevier]
Copyright of International Journal of Production Economics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Abstract: By using a novel adaptation of the free-disposable hull analysis of productivity, we assess the medical and technical efficiency of patient care in 25 Parisian intensive care units (ICUs) during 2000. The robust free disposable hull (RFDH) as defined by [Cazals et al., 2002. Nonparametric frontier estimation: a robust approach. Journal of Econometrics 106, 1–25] reduces the impact outliers may have on findings by employing Monte-Carlo techniques and repeated sample selection. Among our key findings, there was no overall significant correlation between medical and technical efficiencies for all the ICUs, therefore performing well in one does not guarantee good performance in the other. We also found that over 80% of inefficiency is concentrated in less than 20% of the sampled patients. [Copyright &y& Elsevier]
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  Data: <i>Copyright of International Journal of Production Economics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.ijpe.2009.04.011
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      – SubjectFull: Factors of production
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      – SubjectFull: Estimation theory
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      – SubjectFull: Stochastic processes
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      – SubjectFull: Productivity accounting
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      – SubjectFull: Intensive care units
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      – SubjectFull: Critical care medicine
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      – SubjectFull: Hospital emergency services
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      – TitleFull: Performance of French intensive care units: A directional distance function approach at the patient level
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              Text: Aug2009
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