Chen Huihui, Xia Ying, Qin Qiang, Cheng Jing, Xiong Change
School of Public Health, Wuhan University of Science and Technology, Wuhan, China.
Department of Nursing, School of Medicine, Wuhan University of Science and Technology, Wuhan, China.
Arch Public Health. 2024 Sep 29;82(1):169. doi: 10.1186/s13690-024-01402-5.
At present, unequal allocation of medical resources represents a major problem for medical service management in China and many other countries. Equity of intensive care unit (ICU) bed allocation is essential for timely and equitable access to medical care for critically ill patients. This study analysed the equity of ICU bed allocation in 31 provincial regions in China, and the associated factors, to provide a theoretical basis for improvement in the allocation of ICU beds.
The equity of ICU bed allocation was investigated in 31 provincial regions in China in 2021. The Gini coefficient combined with Lorenz curves were used to analyse the current status of ICU bed allocation by both population and service area. The spatial heterogeneity and aggregation of ICU bed density were analysed using the Global Moran's index. The spatial distribution pattern was visualized via LISA maps using the Local Moran's index. Three grey correlation models were constructed to assess the key factors influencing ICU bed density. Finally, robustness analysis was performed to test the reliability of the results.
The allocation of ICU beds in China was highly inequitable by service area (Gini = 0.68) and showed better balance by population distribution (Gini = 0.14). The distribution of ICU beds by service area was highly spatially clustered (Global Moran's I = 0.22). The bed utilization rate exhibited the strongest association with ICU bed density by population. Registered nurses per 10,000 square kilometres was the strongest factor affecting ICU bed density by service area.
The allocation of ICU beds by population is better than by service area; the allocation by service area is less equitable in China. These findings emphasise the need to implement better measures to reduce ICU bed equity differences between regions and balance and coordinate medical resources. Service area size, bed utilization, the number of registered nurses and other key factors should be considered when performing regional health planning for ICU bed supply. This will increase the equitable access to critical medical services for all populations.
目前,医疗资源分配不均是中国和许多其他国家医疗服务管理面临的一个主要问题。重症监护病房(ICU)床位分配的公平性对于重症患者及时、公平地获得医疗服务至关重要。本研究分析了中国31个省级行政区ICU床位分配的公平性及其相关因素,为改善ICU床位分配提供理论依据。
2021年对中国31个省级行政区的ICU床位分配公平性进行调查。采用基尼系数结合洛伦兹曲线,从人口和服务面积两个方面分析ICU床位分配现状。利用全局莫兰指数分析ICU床位密度的空间异质性和聚集性。通过局部莫兰指数,利用LISA地图直观展示空间分布格局。构建三个灰色关联模型,评估影响ICU床位密度的关键因素。最后进行稳健性分析,检验结果的可靠性。
按服务面积计算,中国ICU床位分配极不公平(基尼系数=0.68),按人口分布则显示出较好的平衡性(基尼系数=0.14)。按服务面积计算的ICU床位分布在空间上高度聚集(全局莫兰指数I=0.22)。床位使用率与按人口计算的ICU床位密度关联最强。每万平方公里注册护士人数是影响按服务面积计算的ICU床位密度最强的因素。
按人口分配ICU床位优于按服务面积分配;在中国,按服务面积分配不太公平。这些发现强调需要采取更好的措施来减少地区间ICU床位公平性差异,平衡和协调医疗资源。在进行ICU床位供应的区域卫生规划时,应考虑服务面积大小、床位使用率、注册护士数量等关键因素。这将增加所有人群公平获得关键医疗服务的机会。