Assessing the price levels of medical service and influential factors: evidence from China
Abstract Background Medical service prices play a crucial role in cost containment in China. This study aimed to assess the change in medical service price levels at the macro level and the relationship with relevant macroeconomic factors. Methods Data from the 2022 China Statistics Yearbook, the 20...
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BMC
2024-01-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-024-17639-2 |
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| author | Yanxian Lin Luo Li Bao Liu |
| author_facet | Yanxian Lin Luo Li Bao Liu |
| author_sort | Yanxian Lin |
| collection | DOAJ |
| description | Abstract Background Medical service prices play a crucial role in cost containment in China. This study aimed to assess the change in medical service price levels at the macro level and the relationship with relevant macroeconomic factors. Methods Data from the 2022 China Statistics Yearbook, the 2022 China Health Statistics Yearbook, and the 2020 China National Health Accounts Report were used. Time trends of health price levels, utilization, and health expenditure were examined. A time-series regression model was employed to measure the impact of service utilization and medical service prices on total medical service expenditure growth from 2000 to 2021. The Johansen cointegration test was conducted to test the cointegrating relationship between medical service price levels and total medical service expenditure, average wage of employees and CPI. The Granger causality test was performed to observe the direction of causality. Results Descriptive analyses showed consistent growth in utilization and medical service price levels from 2000 to 2021. The time-series model indicated that medical service expenditure was influenced by the rise in inpatient admissions and price levels of medical service and medicine. The Johansen cointegration test identified a long-term equilibrium relationship between medical service price levels and total medical service expenditure, average wage and CPI. The change in medical service price levels was the Granger cause of the change in medical service expenditure, but it had no impact on average wage and CPI. However, the change in medical service price levels was influenced by these three macroeconomic factors. Conclusions The growth of medical service expenditure in China was driven by inpatient use and price level. There was a long-term equilibrium relationship between medical service price levels and relevant macroeconomic factors. However, medical service price levels only affected medical service expenditure and have no impact on average wage and CPI. It is necessary to improve the value transmission mechanism of medical service prices. |
| first_indexed | 2024-03-08T14:11:29Z |
| format | Article |
| id | doaj.art-b53f2fd5790f4a90a15f2dc840a5d01d |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-03-08T14:11:29Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-b53f2fd5790f4a90a15f2dc840a5d01d2024-01-14T12:41:17ZengBMCBMC Public Health1471-24582024-01-012411910.1186/s12889-024-17639-2Assessing the price levels of medical service and influential factors: evidence from ChinaYanxian Lin0Luo Li1Bao Liu2Department of Health Economics, School of Public Health, Fudan UniversityDepartment of Health Economics, School of Public Health, Fudan UniversityDepartment of Health Economics, School of Public Health, Fudan UniversityAbstract Background Medical service prices play a crucial role in cost containment in China. This study aimed to assess the change in medical service price levels at the macro level and the relationship with relevant macroeconomic factors. Methods Data from the 2022 China Statistics Yearbook, the 2022 China Health Statistics Yearbook, and the 2020 China National Health Accounts Report were used. Time trends of health price levels, utilization, and health expenditure were examined. A time-series regression model was employed to measure the impact of service utilization and medical service prices on total medical service expenditure growth from 2000 to 2021. The Johansen cointegration test was conducted to test the cointegrating relationship between medical service price levels and total medical service expenditure, average wage of employees and CPI. The Granger causality test was performed to observe the direction of causality. Results Descriptive analyses showed consistent growth in utilization and medical service price levels from 2000 to 2021. The time-series model indicated that medical service expenditure was influenced by the rise in inpatient admissions and price levels of medical service and medicine. The Johansen cointegration test identified a long-term equilibrium relationship between medical service price levels and total medical service expenditure, average wage and CPI. The change in medical service price levels was the Granger cause of the change in medical service expenditure, but it had no impact on average wage and CPI. However, the change in medical service price levels was influenced by these three macroeconomic factors. Conclusions The growth of medical service expenditure in China was driven by inpatient use and price level. There was a long-term equilibrium relationship between medical service price levels and relevant macroeconomic factors. However, medical service price levels only affected medical service expenditure and have no impact on average wage and CPI. It is necessary to improve the value transmission mechanism of medical service prices.https://doi.org/10.1186/s12889-024-17639-2Medical serviceMedical service pricesPrice levelInfluential factorsChina |
| spellingShingle | Yanxian Lin Luo Li Bao Liu Assessing the price levels of medical service and influential factors: evidence from China BMC Public Health Medical service Medical service prices Price level Influential factors China |
| title | Assessing the price levels of medical service and influential factors: evidence from China |
| title_full | Assessing the price levels of medical service and influential factors: evidence from China |
| title_fullStr | Assessing the price levels of medical service and influential factors: evidence from China |
| title_full_unstemmed | Assessing the price levels of medical service and influential factors: evidence from China |
| title_short | Assessing the price levels of medical service and influential factors: evidence from China |
| title_sort | assessing the price levels of medical service and influential factors evidence from china |
| topic | Medical service Medical service prices Price level Influential factors China |
| url | https://doi.org/10.1186/s12889-024-17639-2 |
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