Assessing the price levels of medical service and influential factors: evidence from China

被引:4
|
作者
Lin, Yanxian [1 ,2 ]
Li, Luo [1 ,2 ]
Liu, Bao [1 ,2 ]
机构
[1] Fudan Univ, Sch Publ Hlth, Dept Hlth Econ, 130 Dong An Rd, Shanghai 200032, Peoples R China
[2] Fudan Univ, Key Lab Hlth Technol Assessment, Minist Hlth, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Medical service; Medical service prices; Price level; Influential factors; China; HEALTH-CARE REFORM; PUBLIC HOSPITALS;
D O I
10.1186/s12889-024-17639-2
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundMedical 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.MethodsData 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.ResultsDescriptive 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.ConclusionsThe 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.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Assessing the price levels of medical service and influential factors: evidence from China
    Yanxian Lin
    Luo Li
    Bao Liu
    BMC Public Health, 24
  • [2] The Influential Factors of Financial Cycle Spillover: Evidence from China
    Liu, Yue
    Li, Zhenghui
    Xu, Manrui
    EMERGING MARKETS FINANCE AND TRADE, 2020, 56 (06) : 1336 - 1350
  • [3] Regional price differences of medical services: evidence from China
    Li, Luo
    Liu, Bao
    BMC PUBLIC HEALTH, 2024, 24 (01)
  • [4] Infrastructure Operation Efficiency and Influential Factors in Developing Countries: Evidence from China
    Wei, Xiao
    Xu, Haicheng
    Zhang, Beiqi
    Li, Jianlong
    SUSTAINABILITY, 2019, 11 (03):
  • [5] Factors Affecting Carbon Emission Trading Price: Evidence from China
    Yin, Yingkai
    Jiang, Zhihui
    Liu, Yazhou
    Yu, Zheng
    EMERGING MARKETS FINANCE AND TRADE, 2019, 55 (15) : 3433 - 3451
  • [6] THE DISTRIBUTION AND INFLUENTIAL FACTORS ANALYSIS OF NATIONAL PRICE-NEGOTIATED DRUGS IN MEDICAL INSTITUTIONS AND PHARMACIES IN CHINA: A CASE STUDY OF HYPERKALEMIA
    Liu, J.
    Zhao, Z.
    Hu, M.
    VALUE IN HEALTH, 2024, 27 (06) : S208 - S209
  • [7] THE STUDY OF DYNAMIC ADJUSTMENT MECHANISM OF MEDICAL SERVICE PRICE IN CHINA
    Lin, P.
    Wang, Y.
    Li, L.
    Liu, B.
    VALUE IN HEALTH, 2018, 21 : S166 - S166
  • [8] The Influential Mechanism of Producer-Service on Manufacturing Industry in China: Empirical Evidence from Zhejiang Province
    Cai, Ning
    Wang, Xiaoyan
    EDUCATION AND EDUCATION MANAGEMENT, 2013, 28 : 388 - 394
  • [9] Influential factors and interventions for repeated production violations in food enterprises - Empirical evidence from China
    Zhao, Tong
    Li, Taiping
    Liu, Dan
    Luo, Yun
    JOURNAL OF CLEANER PRODUCTION, 2024, 447
  • [10] Influencing Factors of Smart Community Service Quality: Evidence from China
    Wang, Fengke
    Zhang, Juzheng
    Zhang, Panke
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2021, 28 (04): : 1187 - 1196