Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm
Contact Author:

Wei-Fu Chang. The Third Xiangya Hospital of Central South University, 138 Tongzipo Road, Yuelu District, Changsha 410013, Hunan Province, China. 1697516106@qq.com


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Supported by the Key Research and Development Program of Hunan Province (No.2017SK2011).

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    AIM: To figure out the contributed factors of the hospitalization expenses of senile cataract patients (HECP) and build up an area-specified senile cataract diagnosis related group (DRG) of Shanghai thereby formulating the reference range of HECP and providing scientific basis for the fair use and supervision of the health care insurance fund. METHODS: The data was collected from the first page of the medical records of 22 097 hospitalized patients from tertiary hospitals in Shanghai from 2010 to 2012 whose major diagnosis were senile cataract. Firstly, we analyzed the influence factors of HECP using univariate and multivariate analysis. DRG grouping was conducted according to the exhaustive Chi-squared automatic interaction detector (E-CHAID) model, using HECP as target variable. Finally we evaluated the grouping results using non-parametric test such as Kruskal-Wallis H test, RIV, CV, etc. RESULTS: The 6 DRGs were established as well as criterion of HECP, using age, sex, type of surgery and whether complications/comorbidities occurred as the key variables of classification node of senile cataract cases. CONCLUSION: The grouping of senile cataract cases based on E-CHAID algorithm is reasonable. And the criterion of HECP based on DRG can provide a feasible way of management in the fair use and supervision of medical insurance fund.

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Ai-Jing Luo, Wei-Fu Chang, Zi-Rui Xin, et al. Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm. Int J Ophthalmol, 2018,11(2):308-313

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  • Received:May 26,2017
  • Revised:December 05,2017
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  • Online: February 06,2018
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