An Econometric Analysis of Hospital Length of Stay for Cataract Operations in Japan by the Box-Cox Transformation Model and Hausman Tests: Evaluation of the 2010 Revision of the Medical Payment System*

Nawata, Kan; Kawabuchi, Koichi

doi:10.4236/ojapps.2015.59054

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…This means that nearly one million cataract surgeries and over 100 billion yen are spent annually. Although the effect of the single revision on the LOS was evaluated [6], analyses of long term evaluation of the revisions on the LOS and the non-inclusive payments have not been studied.…”

Section: Introductionmentioning

confidence: 99%

A Long Term Evaluation of the Japanese Medical Payment System for Cataract Surgeries: Did the Medical Policy Reduce the Long Hospital Stay in Japan?

Nawata¹,

Kawabuchi²

2016

Health

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In this paper, we conducted a long term survey of the cataract surgeries. The sample period was about 7 years, from July 2005 to March 2012. We evaluated the effects of three revisions of the medical payment system that were done in 2006, 2008 and 2010. For the analysis, the Box-Cox transformation model and Hausman test using Nawata's estimator were used for the length of stay (LOS) in hospitals, and the ordinary least squares method was used for the non-inclusive (mainly payments for surgeries) payments. We analyzed a dataset of 51,054 patients obtained from 60 hospitals (Hp1-60) where more than 300 one-eye cataract surgeries were performed during the period. For the LOS, we found that only the 2008 revision had significant impact on shortening the LOS but the other two did not. We also found very large differences among hospitals even after eliminating effects of patients' characteristics and type of principle diseases as previous studies. For non-inclusive payments 2006 and 2008 revisions had significant impacts and the differences among hospitals were much smaller than those of the LOS.

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Section: Introductionmentioning

confidence: 99%

A Long Term Evaluation of the Japanese Medical Payment System for Cataract Surgeries: Did the Medical Policy Reduce the Long Hospital Stay in Japan?

Nawata¹,

Kawabuchi²

2016

Health

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Asymptotic Efficiency of the Maximum Likelihood Estimator for the Box-Cox Transformation Model with Heteroscedastic Disturbances

Nawata¹

2016

OJS

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This paper considers the asymptotic efficiency of the maximum likelihood estimator (MLE) for the Box-Cox transformation model with heteroscedastic disturbances. The MLE under the normality assumption (BC MLE) is a consistent and asymptotically efficient estimator if the "small σ " condition is satisfied and the number of parameters is finite. However, the BC MLE cannot be asymptotically efficient and its rate of convergence is slower than ordinal order 1 n when the number of parameters goes to infinity. Anew consistent estimator of order 1 n is proposed. One important implication of this study is that estimation methods should be carefully chosen when the model contains many parameters in actual empirical studies.

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An Econometric Analysis of Hospital Length of Stay for Cataract Operations in Japan by the Box-Cox Transformation Model and Hausman Tests: Evaluation of the 2010 Revision of the Medical Payment System*

Cited by 2 publications

References 14 publications

A Long Term Evaluation of the Japanese Medical Payment System for Cataract Surgeries: Did the Medical Policy Reduce the Long Hospital Stay in Japan?

A Long Term Evaluation of the Japanese Medical Payment System for Cataract Surgeries: Did the Medical Policy Reduce the Long Hospital Stay in Japan?

Asymptotic Efficiency of the Maximum Likelihood Estimator for the Box-Cox Transformation Model with Heteroscedastic Disturbances

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