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老龄化视角下粤港澳大湾区珠三角九市医疗资源分布合理性研究OA

The Rationality of Medical Resources Distribution Among the Nine Pearl River Delta Cities in the Guangdong-Hong Kong-Macao Greater Bay Area from the Perspective of Aging

中文摘要英文摘要

目的 研究老龄化视角下粤港澳大湾区珠三角九市医疗资源分布的合理性,为塑造健康湾区提供有利建议.方法 选取衡量地区医疗资源以及老龄化程度的指标,如每千人医院数、每千人卫生机构总床位数、每千人医院床位数、每千人三甲医院数、每千人执业(助理)医师数量、每千人注册护士数量、每千人医院类执业(助理)医师数量、每千人医院类注册护士数、每千人卫生医疗支出、60 岁以上人口以及 65 岁以上人口比例等,研究珠三角九市地区医疗资源分布以及老龄化程度分布特点,采用Spearman秩相关系数分析上述两方面各项指标的关联程度和方向,判断医疗资源分布合理性.结果 衡量粤港澳大湾区珠三角九市医疗资源的 9 个指标的极值比均高于 1.5,高于均值城市数小于 4(不含 4)的指标有 5 个,最高值城市为广州的指标有 7个.在衡量老龄化的 2 个指标中,极值比分别为 3.41、4.04,高于均值城市数 3.除每千人卫生机构总床位数与地区老龄化程度具有正相关关系外,其他医疗资源统计指标与地区老龄化程度都无统计学意义上的相关性,无显著证据显示医疗资源分布与老龄化程度分布相匹配.结论 粤港澳大湾区珠三角九市医疗资源分布集中度较为明显,优势城市在多个方面都相对领先;珠三角九市老龄化程度分布集中度较为明显.医疗资源的供给和需求在地区间形成一定的错配现象,建议通过加强人口老龄化程度较高地区的医疗资源配置,建设不同地区医疗资源共享机制来实现医疗资源合理分布.

Objective To study the rationality of medical resources distribution among the nine pearl river delta cities in the Guangdong-Hong Kong-Macao Greater Bay Area from the perspective of aging.Methods The study firstly selected indicators to measure the regional medical resources and the degree of aging,such as the number of hospitals per thousand people,the total number of beds per thousand people,the number of beds per thousand people,the number of hospitals per thousand people,the number of tertiary hospitals per thousand people,the number of practicing(assistant)physicians per thousand people,the number of registered nurses per thousand people,the number of practicing(assistant)physicians per thousand people,the number of registered nurses per thousand people,the number of registered nurses per thousand people,the health care expenditure per thousand people,the population over 60 years old and the proportion of the population over 65 years old,to study the distribution of medical resources and the distribution characteristics of aging degree.Spearman rank correlation coefficient was used to analyze the correlation degree and direction of the above two aspects,and to judge the rationality of the distribution of medical resources.Results The extreme value ratios of the nine indicators for measuring the medical resources of the nine cities in the Guangdong-Hong Kong-Macao Greater Bay Area were all higher than 1.5,and there were 5 indicators higher than the average number of cities less than 4(excluding 4).There were 7 indicators with the highest value city being Guangzhou.Among the two indicators for measuring aging,the extreme value ratios were 3.41 and 4.04,respectively,which were higher than the average number of cities 3.In addition to the positive correlation between the total number of beds per thousand health institutions and the degree of regional aging,there is no statistically significant correlation between other statistical indicators of medical resources and the degree of regional aging,and there is no significant evidence that the distribution of medical resources matches the distribution of aging.Conclusion The concentration of medical resources distribution in the nine pearl river delta cities of the Guangdong-Hong Kong-Macao Greater Bay Area is relatively obvious,and the dominant cities are relatively leading in many aspects;the distribution concentration of aging degree in the nine pearl river delta cities is more obvious.The supply and demand of medical resources have formed a certain mismatch between regions.It is suggested to realize the rational distribution of medical resources by strengthening the allocation of medical resources in areas with a high degree of population aging and the construction of medical resource sharing mechanism in different regions.

黄靖;罗伟平;韦江勇;李建林

中山大学附属第八医院医务科,广东 深圳 518000广州市第一人民医院运营管理中心,广东 广州 510180中山大学附属第八医院医务科,广东 深圳 518000中山大学附属第八医院医务部,广东 深圳 518000

医药卫生

老龄化粤港澳大湾区珠三角九市医疗资源分布合理性

AgingNine pearl river delta cities in the Guangdong-Hong Kong-Macao Greater Bay AreaRational distribution of medical resources

《医学信息》 2026 (15)

62-66,71,6

1.广东省经济学会2023年科研课题(编号:2023-WJMF-82)2.广州市第一人民医院2023年红棉计划项目(编号:2023GL04)

10.3969/j.issn.1006-1959.2026.15.010

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