Faculty of Economics, Thammasat University, 2 Prachan Road, Phranakorn, Bangkok, 10200, Thailand.
Takemi Program in International Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, United States of America.
Hum Resour Health. 2022 Jul 15;20(1):59. doi: 10.1186/s12960-022-00732-1.
Public hospitals are facing a critical shortage of health workers. The area-based network consolidations could be the solution to increase the system capacity for human resources by improving local allocative efficiency.
This study develops counterfactual simulations for area-based network allocations for the health workforce in 10500 public hospitals in Thailand and examines improvements in allocative efficiency from the health workforce redistribution at different administrative levels such as sub-districts, districts, provinces, and health service areas. The workload per worker is calculated from the output measured by numbers of outpatient and inpatient cases and the input measured by numbers of health workers. Both output and input are weighted with their economic values and controlled for heterogeneity through regression analysis. Finally, this study compares the workload per worker and economic valuation of the area-based networks or ex-ante scenarios with the hospital-level or status quo scenario.
Network consolidations of the sub-district primary-level hospitals within the same district could reduce workload per worker by seven percentage points. Another practical policy option is to consolidate similar hospital levels such as primary, first-level secondary, and mid-level secondary hospitals altogether within the same province which could result in the reduction of the workload per worker by 6-7 percentage points. The total economic value gained from consolidating similar hospital levels within the same province is about 15-18 percentage points of total labor cost in the primary hospitals.
This study illustrates the improvement in allocative efficiency of the health workforce in public hospitals from the area-based network consolidations. The results provide an insightful example of economic gains from efficiently reallocating the medical workforce within the same local areas. Major reforms are required such that the health care delivery units can automate their resources in corresponding to the population's health needs through a strengthening gatekeeping system.
公立医院面临着卫生工作者严重短缺的问题。基于区域的网络整合可能是通过提高当地配置效率来增加人力资源系统容量的解决方案。
本研究针对泰国 10500 家公立医院的卫生人力进行基于区域的网络分配进行了反事实模拟,并考察了在不同行政级别(如分区、区、省和卫生服务区)重新分配卫生人力对配置效率的改善。通过门诊和住院病例数量衡量产出,通过卫生工作者数量衡量投入,计算每个工人的工作量。产出和投入都用其经济价值加权,并通过回归分析控制异质性。最后,本研究将基于区域的网络或事前情景的每个工人的工作量和经济价值与医院层面或现状情景进行了比较。
同一区的分区一级基层医院的网络整合可以减少 7 个百分点的每个工人工作量。另一个可行的政策选择是整合类似的医院级别,如初级、一级二级和中级二级医院,在同一省内进行整合,这可能导致每个工人工作量减少 6-7 个百分点。在同一省内整合类似医院级别所获得的总经济价值约占初级医院总劳动力成本的 15-18 个百分点。
本研究说明了公立医院卫生人力基于区域的网络整合带来的配置效率的提高。研究结果提供了一个有见地的例子,说明了在同一地区内有效重新分配医疗劳动力所带来的经济收益。需要进行重大改革,以便医疗服务提供单位能够通过加强把关系统,使资源与人口的健康需求相对应,实现资源的自动化。