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Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China.
Liu, Jing; He, Beibei; Xu, Xiaolan; Zhou, Leming; Li, Jiang; Wang, Gongru; Chen, Yingyao.
Afiliação
  • Liu J; Key Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China.
  • He B; Department of Health Management, School of Management, Hainan Medical University, Hainan, 571199, People's Republic of China.
  • Xu X; Hospital Management Institute, Fudan University, Shanghai, 200032, People's Republic of China.
  • Zhou L; Department of Statistics and Development Research, Chongqing Health Information Center, Chongqing, 401120, People's Republic of China.
  • Li J; Department of Statistics and Development Research, Chongqing Health Information Center, Chongqing, 401120, People's Republic of China.
  • Wang G; Department of Statistics and Development Research, Chongqing Health Information Center, Chongqing, 401120, People's Republic of China.
  • Chen Y; Key Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China.
BMC Health Serv Res ; 19(1): 858, 2019 Nov 21.
Article em En | MEDLINE | ID: mdl-31752822
ABSTRACT

BACKGROUND:

The reform of county-level public hospitals is a breakthrough in the new era of healthcare reform in China and has attracted considerable attention since 2012. Continuous and efficient operations of hospital are primary concerns of this reform. To ensure the effectiveness of county-based intervention reform measures in Chongqing, it is significant to understand how hospital and county characteristics are associated with county-level public hospital efficiency due to significant development differences between counties. This study identifies the trajectory of hospital efficiency over time and determinants. It will also provide preliminary references for advancing reform.

METHODS:

This study employs data from the Chongqing Regional Health Information Platform, Chongqing Health and Family Planning Statistical Yearbook, and Chongqing Statistical Yearbook for 2012-2016. A three-level growth model is used to estimate the efficiency growth trajectories within the contexts of hospitals and counties.

RESULTS:

The intra-hospital level factors that affect the initial efficiency include government financial assistance, daily charge per bed, total assets turnover, number of hospital healthcare technicians, and medical costs per 100-yuan medical income. Inter-hospital variance is explained by hospital type. Inter-county level factors affecting the growth rate include the number of healthcare technicians per 1000 people and population density of the county. The interaction effect of the number of hospital healthcare technicians, hospital type, and number of healthcare technicians per 1000 people on hospital efficiency growth is significant.

CONCLUSIONS:

This study identifies determinants that contribute to efficiency changes in public county-hospitals over time by using a three-level growth model. The differences in efficiency are associated with intra-hospital, inter-hospital, and inter-county characteristics in Chongqing, which provides useful insight into government decision-making and the progress of reform. The stability and reasonable increase in the number of healthcare technicians in a county are the key factors that improve the efficiency. Further reform should focus on maternal and child healthcare hospitals for increasing investment and implementing government compensation.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Eficiência Organizacional / Hospitais Públicos Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Health Serv Res Assunto da revista: PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Eficiência Organizacional / Hospitais Públicos Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Health Serv Res Assunto da revista: PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article