Modeling Hospitalization Decision and Utilization for the Elderly in China
Getting medical services has become more difficult and expensive in China, which led to a problem of illness not being treated and a large number of zeros in the statistics of being hospitalized for the elderly. Traditional classic models such as the Poisson model and the negative binomial model can...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/4878442 |
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| _version_ | 1832556485849120768 |
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| author | Xin Xu Dongxiao Chu |
| author_facet | Xin Xu Dongxiao Chu |
| author_sort | Xin Xu |
| collection | DOAJ |
| description | Getting medical services has become more difficult and expensive in China, which led to a problem of illness not being treated and a large number of zeros in the statistics of being hospitalized for the elderly. Traditional classic models such as the Poisson model and the negative binomial model cannot fit this kind of data well. One aim of this study was to use zero-inflated and hurdle models to better solve the problem of excess zeros. Another aim was to discover the factors affecting the decision-making behavior of the elderly being hospitalized and hospitalization service utilization. Therefore, the XGBoost model was firstly introduced to rank the importance of influencing factors in this paper. It was found that the zero-inflated negative binomial model performed best. The results showed that the elderly who had enjoyed NRCM or ERBMI/URBMI were more likely to have a higher number of hospitalizations. This indicated that the high cost of hospitalization had prevented the willingness of the elderly being hospitalized, but the basic medical insurance had increased the times of their repeated hospital readmissions. Policy efforts should be made to improve the level of basic medical insurance. |
| format | Article |
| id | doaj-art-996b8810b26a426586acf28b58c30c71 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-996b8810b26a426586acf28b58c30c712025-02-03T05:45:21ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/48784424878442Modeling Hospitalization Decision and Utilization for the Elderly in ChinaXin Xu0Dongxiao Chu1School of Finance, Capital University of Economics and Business, Beijing 100070, ChinaSchool of Finance, Capital University of Economics and Business, Beijing 100070, ChinaGetting medical services has become more difficult and expensive in China, which led to a problem of illness not being treated and a large number of zeros in the statistics of being hospitalized for the elderly. Traditional classic models such as the Poisson model and the negative binomial model cannot fit this kind of data well. One aim of this study was to use zero-inflated and hurdle models to better solve the problem of excess zeros. Another aim was to discover the factors affecting the decision-making behavior of the elderly being hospitalized and hospitalization service utilization. Therefore, the XGBoost model was firstly introduced to rank the importance of influencing factors in this paper. It was found that the zero-inflated negative binomial model performed best. The results showed that the elderly who had enjoyed NRCM or ERBMI/URBMI were more likely to have a higher number of hospitalizations. This indicated that the high cost of hospitalization had prevented the willingness of the elderly being hospitalized, but the basic medical insurance had increased the times of their repeated hospital readmissions. Policy efforts should be made to improve the level of basic medical insurance.http://dx.doi.org/10.1155/2021/4878442 |
| spellingShingle | Xin Xu Dongxiao Chu Modeling Hospitalization Decision and Utilization for the Elderly in China Discrete Dynamics in Nature and Society |
| title | Modeling Hospitalization Decision and Utilization for the Elderly in China |
| title_full | Modeling Hospitalization Decision and Utilization for the Elderly in China |
| title_fullStr | Modeling Hospitalization Decision and Utilization for the Elderly in China |
| title_full_unstemmed | Modeling Hospitalization Decision and Utilization for the Elderly in China |
| title_short | Modeling Hospitalization Decision and Utilization for the Elderly in China |
| title_sort | modeling hospitalization decision and utilization for the elderly in china |
| url | http://dx.doi.org/10.1155/2021/4878442 |
| work_keys_str_mv | AT xinxu modelinghospitalizationdecisionandutilizationfortheelderlyinchina AT dongxiaochu modelinghospitalizationdecisionandutilizationfortheelderlyinchina |