Sanming Model of Medical Service Integration: Impact on Medical Expenditures, Service Provision, and Resource Allocation in China.

Risk Manag Healthc Policy

Department of Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.

Published: January 2025

Background: Fragmentation of healthcare services has been a central issue, contributing to escalating medical expenditures and service provision, thereby exacerbating the waste of limited medical resources. In response, China has introduced the Sanming Mode, a medical service integration model designed to address these challenges. This study evaluates the model's impact on medical expenditures, service provision, and resource allocation.

Methods: We conducted an interrupted time series analysis on outcome variables related to medical expenditures, service provision, and resource allocation in Sanming City. The dataset encompassed operational data from all public hospitals and community health service institutions in Sanming from January 2016 to November 2019.

Results: Post-reform, the monthly medical expenditures, outpatient visits, and inpatient admissions in Sanming City shifted from a rapid growth trend to a slower growth trend, with slopes decreasing by 0.1%, 1.4%, and 0.5%, respectively. Heterogeneity analysis between hospitals and community health service institutions revealed a more pronounced slowdown in the growth rate of monthly medical expenses in community health service institutions. However, the growth rates for outpatient and inpatient visits in hospitals significantly decreased post-reform, while there was no significant change observed in community health service institutions.

Conclusion: The Sanming Model represents a significant localized attempt to integrate hospital and community health services in China. It effectively curbs the rapid growth of medical expenditures and service provision, thereby reducing the consumption of basic medical insurance funds. The Model enhances the efficiency of medical resource utilization and promotes a shift in service provision from hospitals to community health service institutions, reflecting a trend in resource allocation that concentrates serious illnesses in hospitals while directing minor health issues to community health service institutions. This positive impact promotes the effective integration and rational allocation of medical resources.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745052PMC
http://dx.doi.org/10.2147/RMHP.S503613DOI Listing

Publication Analysis

Top Keywords

community health
28
medical expenditures
24
service provision
24
health service
24
expenditures service
20
service institutions
20
service
14
medical
13
provision resource
12
resource allocation
12

Similar Publications

Frontline Clinic Administrator Perspectives on Extreme Weather Events, Clinic Operations, and Climate Resilience.

J Ambul Care Manage

January 2025

Author Affiliations: Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts (Drs Wiskel and Dresser); Harvard T.H. Chan School of Public Health Center for Climate, Health, and the Global Environment, Boston, Massachusetts (Drs Wiskel and Dresser); Americares, Stamford, Connecticut (Mr Matthews-Trigg, Ms Stevens, and Dr Miles); and Harvard Medical School, Boston, Massachusetts (Drs Wiskel, Dresser, and Bernstein).

Climate-sensitive extreme weather events are increasingly impacting frontline clinic operations. We conducted a national, cross-sectional survey of 284 self-identified administrators and other staff at frontline clinics determining their attitudes toward climate change and the impacts, resilience, and preparedness of clinics for extreme weather events. Most respondents (80.

View Article and Find Full Text PDF

Community health workers (CHWs) play a significant role in supporting health services delivery in communities with few trained health care providers. There has been limited research on ways to optimize the role of CHWs in HIV prevention service delivery. This study explored CHWs' experiences with offering HIV prevention services [HIV testing and HIV pre- and post-exposure prophylaxis (PrEP and PEP)] during three pilot studies in rural communities in Kenya and Uganda, which aimed to increase biomedical HIV prevention coverage via a structured patient-centered HIV prevention delivery model.

View Article and Find Full Text PDF

Causal Inference With Observational Data and Unobserved Confounding Variables.

Ecol Lett

January 2025

Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, USA.

Experiments have long been the gold standard for causal inference in Ecology. As Ecology tackles progressively larger problems, however, we are moving beyond the scales at which randomised controlled experiments are feasible. To answer causal questions at scale, we need to also use observational data -something Ecologists tend to view with great scepticism.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!