Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm
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 s...
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doaj-03c13159de3645a6bbdd01cf3ee8a20f2020-11-24T23:52:16ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982018-02-0111230831310.18240/ijo.2018.02.21Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithmAi-Jing Luo0Wei-Fu Chang1Zi-Rui Xin2Hao Ling3Jun-Jie Li4Ping-Ping Dai5Xuan-Tong Deng6Lei Zhang7Shao-Gang Li8The Third Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, China; Xiangya School of Public Health, Central South University, Changsha 410008, Hunan Province, China; Key Laboratory of Medical Information Research, Central South University, Changsha 410013, Hunan Province, ChinaThe Third Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, China; Xiangya School of Public Health, Central South University, Changsha 410008, Hunan Province, China; Key Laboratory of Medical Information Research, Central South University, Changsha 410013, Hunan Province, ChinaKey Laboratory of Medical Information Research, Central South University, Changsha 410013, Hunan Province, China; Information Security and Big Data Research Institute, Central South University, Changsha 410013, Hunan Province, ChinaThe Third Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, ChinaKey Laboratory of Medical Information Research, Central South University, Changsha 410013, Hunan Province, China; Information Security and Big Data Research Institute, Central South University, Changsha 410013, Hunan Province, ChinaKey Laboratory of Medical Information Research, Central South University, Changsha 410013, Hunan Province, China; Information Security and Big Data Research Institute, Central South University, Changsha 410013, Hunan Province, ChinaKey Laboratory of Medical Information Research, Central South University, Changsha 410013, Hunan Province, China; Information Security and Big Data Research Institute, Central South University, Changsha 410013, Hunan Province, ChinaNational Institute of Hospital Administration, Beijing 100191, ChinaHospital of Stomatology Wuhan University, Wuhan 430079, Hubei Province, ChinaAIM: 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.http://www.ijo.cn/en_publish/2018/2/20180221.pdf313diagnosis related groupsenile cataracthospitalization expensesE-CHAID algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ai-Jing Luo Wei-Fu Chang Zi-Rui Xin Hao Ling Jun-Jie Li Ping-Ping Dai Xuan-Tong Deng Lei Zhang Shao-Gang Li |
spellingShingle |
Ai-Jing Luo Wei-Fu Chang Zi-Rui Xin Hao Ling Jun-Jie Li Ping-Ping Dai Xuan-Tong Deng Lei Zhang Shao-Gang Li Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm International Journal of Ophthalmology 313 diagnosis related group senile cataract hospitalization expenses E-CHAID algorithm |
author_facet |
Ai-Jing Luo Wei-Fu Chang Zi-Rui Xin Hao Ling Jun-Jie Li Ping-Ping Dai Xuan-Tong Deng Lei Zhang Shao-Gang Li |
author_sort |
Ai-Jing Luo |
title |
Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm |
title_short |
Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm |
title_full |
Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm |
title_fullStr |
Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm |
title_full_unstemmed |
Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm |
title_sort |
diagnosis related group grouping study of senile cataract patients based on e-chaid algorithm |
publisher |
Press of International Journal of Ophthalmology (IJO PRESS) |
series |
International Journal of Ophthalmology |
issn |
2222-3959 2227-4898 |
publishDate |
2018-02-01 |
description |
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. |
topic |
313 diagnosis related group senile cataract hospitalization expenses E-CHAID algorithm |
url |
http://www.ijo.cn/en_publish/2018/2/20180221.pdf |
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