中国重症监护病房床位分配的空间公平性及相关因素。

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Archives of Public Health Pub Date : 2024-09-29 DOI:10.1186/s13690-024-01402-5
Huihui Chen, Ying Xia, Qiang Qin, Jing Cheng, Change Xiong
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引用次数: 0

摘要

背景: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 个省级地区重症监护病房床位分配的公平性及其相关因素,为改善重症监护病房床位分配提供理论依据:方法:研究了 2021 年中国 31 个省级地区 ICU 病床分配的公平性。采用基尼系数和洛伦兹曲线分析了按人口和服务区域划分的 ICU 床位分配现状。利用全球莫兰指数分析了 ICU 床位密度的空间异质性和聚集性。利用局部莫兰指数,通过 LISA 地图对空间分布模式进行可视化分析。构建了三个灰色关联模型,以评估影响 ICU 床位密度的关键因素。最后,进行了稳健性分析以检验结果的可靠性:按服务区域划分,中国的 ICU 床位分配极不公平(基尼系数 = 0.68),而按人口分布划分,则显示出较好的平衡性(基尼系数 = 0.14)。按服务区划分的重症监护病房床位分布在空间上高度聚集(全球莫兰 I = 0.22)。病床使用率与按人口划分的重症监护病房病床密度关系最为密切。每万平方公里的注册护士数是影响服务区 ICU 病床密度的最大因素:结论:在中国,按人口分配ICU床位的情况优于按服务区分配的情况;按服务区分配的情况则不太公平。这些发现强调,需要采取更好的措施来缩小地区间的 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,应考虑服务区规模、床位使用率、注册护士数量和其他关键因素。这将增加所有人群公平获得关键医疗服务的机会。
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Spatial equity and factors associated with intensive care unit bed allocation in China.

Background: 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.

Methods: 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.

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.

Conclusions: 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.

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来源期刊
Archives of Public Health
Archives of Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
3.00%
发文量
244
审稿时长
16 weeks
期刊介绍: rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.
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