Medical Management
Research on the supply efficiency and influencing factors of provincial medical and health services in China
Chen Kui, Zhang Haitao, Lu Jiayue, Ge Guoshu
Published 2023-01-02
Cite as Chin J Hosp Admin, 2023, 39(1): 16-21. DOI: 10.3760/cma.j.cn111325-20220807-00698
Abstract
ObjectiveTo analyze the supply efficiency and influencing factors of medical and health services in 31 provinces in China from 2011 to 2020, providing reference for rational allocation of medical and health resources and improving service efficiency.
MethodsThe data related to the input-output indicators of China′s medical and health services from 2011 to 2020 were collected from China Health Statistical Yearbook, China Statistical Yearbook and China Social Statistical Yearbook. Data envelopment analysis was used to calculate the static efficiency of China′s medical and health service supply, the Malmquist index method was used to analyze the dynamic efficiency of China′s medical and health service supply, and the Tobit model was used to analyze the factors affecting the efficiency.
ResultsIn 2020, the comprehensive efficiency of medical and health service supply in 15 provinces (Tianjin, Shanghai, Zhejiang, etc.) was 1.000, and the scale benefit remained unchanged. The comprehensive efficiency in 16 provinces (Heilongjiang, Jilin, Inner Mongolia, etc.) was less than 1.000. Among them, 15 provinces showed a decreasing scale benefit, while 1 province showed an increasing scale benefit.From 2011 to 2020, the total factor production efficiency index of China′s healthcare service supply increased from 0.988 to 1.036. The factors affecting the efficiency included number of people with a college degree or above per 10 000 people, the utilization rate of hospital bed rate, population density, asset liability ratio, and average length of stay (P<0.05).
ConclusionsIn recent years, the efficiency of healthcare service supply in China showed a growth trend featuring regional differences and multiple influencing factors. It is suggested to further narrow the regional differences of the efficiency, reasonable control the scale of medical institutions, optimize medical service technology and management levels, shorten the average transfer day and improve bed utilization to improve the overall efficiency of medical and health service supply.
Key words:
Medical health services; Data envelopment analysis; Malmquist index; Tobit model; Supply efficiency
Contributor Information
Chen Kui
Medical Department, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
Zhang Haitao
National Governance and National Audit Institute, Nanjing Audit University, Nanjing 211815, China
Lu Jiayue
Personnel Department, First Affiliated Hospital of Soochow University, Suzhou 215031, China
Ge Guoshu
Discipline &
Inspection Office, First Affiliated Hospital of Soochow University, Suzhou 215031, China
