Article(id=1324077735252984739, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077560820282023, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202509135, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757260800000, receivedDateStr=2025-09-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793614332258, onlineDateStr=2026-11-02, pubDate=1774368000000, pubDateStr=2026-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793614332258, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793614332258, creator=13701087609, updateTime=1793614332258, updator=13701087609, issue=Issue{id=1324077560820282023, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='6', pageStart='961', pageEnd='1152', issueExtLink='null', onlineDate='null', pubDate='1774368000000', pubDateStr='2026-03-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793614290671, creator='13701087609', updateTime=1793614391469, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324077983656444429, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077560820282023, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324077983660638734, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077560820282023, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1068, endPage=1074, ext={EN=ArticleExt(id=1324077735798244261, articleId=1324077735252984739, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Matching degree between the elderly population and the supply of medical resources, Guangdong, columnId=1228016567846367388, journalTitle=Modern Preventive Medicine, columnName=Health Policy and Management, runingTitle=null, highlight=null, articleAbstract=
Objective To analyze the coupling and coordination relationship between the elderly population and the supply of medical resources in Guangdong Province from 2000 to 2020, and to provide insights for optimizing regional medical resource allocation, improving health and well-being among the elderly, and proactively addressing population aging.
Methods Using data from population censuses and statistical yearbooks, the entropy method and the coupling coordination degree model were applied to evaluate the coupling coordination and matching degree of the elderly system and medical resource supply system.
Results From 2000 to 2020, the matching degrees of the elderly population and medical resource supply in Guangdong Province evolved from mild mismatch to basic match. Spatially, all cities had reached a minimally matched level by 2020, however, significant regional disparities remained. The Pearl River Delta and western Guangdong regions exhibited higher matching degrees than eastern and northern Guangdong.
Conclusion The matching degree between the elderly population and medical resource supply in Guangdong has improved overall, though regional gaps remain. It is recommended that regions tailor medical resource allocation according to local aging trends, while proactively addressing the structural service needs of the elderly, such as chronic disease management and rehabilitation nursing, to enhance the precision and adaptability of resource matching.
, authors=Ya-min LU, Wei-guang YAO, authorsList=Ya-min LU, Wei-guang YAO, authorCompany=null, correspAuthors=Wei-guang YAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324077738868474796, articleId=1324077735252984739, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=广东省老年人口与医疗资源供给的匹配度研究, columnId=1228016568014139551, journalTitle=现代预防医学, columnName=卫生政策与管理, runingTitle=null, highlight=null, articleAbstract=
目的 分析2000—2020年广东省老年人口与医疗资源供给的耦合协调关系以评价二者匹配度,为优化区域医疗资源配置,提升老年人群健康福祉,积极应对人口老龄化提供参考。
方法 基于人口普查和统计年鉴数据,采用熵值法和耦合协调度模型评价老年系统与医疗资源供给系统耦合协调情况及其匹配度。
结果 2000—2020年广东省老年人口与医疗资源供给两系统匹配状况从轻度不匹配向基本匹配发展。空间上,2020年所有地市均达到勉强匹配水平,但区域差异显著,珠三角和粤西地区匹配度高于粤东和粤北地区。
结论 广东省老年人口与医疗资源供给的匹配度整体提升,但区域差异依然存在。建议各地结合自身老龄化发展趋势,差异化配置医疗资源,并前瞻性地关注老年群体对慢病管理、康复护理等服务的结构性需求,以提升匹配的精准性与适应性。
, authors=卢雅敏, 姚卫光, authorsList=卢雅敏, 姚卫光, authorCompany=null, correspAuthors=姚卫光, authorNote=
卢雅敏(2003—),女,硕士在读,研究方向:公共管理
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本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点,除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=l4Aa0bof1lo2E4h0nrlp+g==, magXml=4iQ+T+hveakeq4+GJEbwBQ==, pdfUrl=null, pdf=HaBexmhYBXPe6A3PCT4SDA==, pdfFileSize=1115824, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=Ay/m5cD88m/6BcZWqHYI+Q==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=4ALGnFc40qs38XFPwPOT8Q==, mapNumber=null, fund=null)}, authors=[Author(id=1324077739447288753, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1324077739615060915, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, authorId=1324077739447288753, language=EN, stringName=Ya-min LU, firstName=Ya-min, middleName=null, lastName=LU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Health Management, Southern Medical University, Guangzhou, Guangdong 510515, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1324077739711529908, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, authorId=1324077739447288753, language=CN, stringName=卢雅敏, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=南方医科大学卫生管理学院,广东 广州 510515, bio={"content":"
卢雅敏(2003—),女,硕士在读,研究方向:公共管理
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Comparison of the comprehensive development level of aging and the supply level of medical resources in various cities in Guangdong Province, 2000-2020, figureFileSmall=PDrTX65hc5xpjvwH67ISHA==, figureFileBig=Ay/m5cD88m/6BcZWqHYI+Q==, tableContent=null), ArticleFig(id=1324077742781760451, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=CN, label=图1, caption=
2000—2020年广东省各地市老龄化综合发展水平与医疗资源供给水平对比图, figureFileSmall=PDrTX65hc5xpjvwH67ISHA==, figureFileBig=Ay/m5cD88m/6BcZWqHYI+Q==, tableContent=null), ArticleFig(id=1324077743025030084, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=EN, label=Fig.2, caption=
Spatiotemporal evolution of the matching degree netween the two systems in Guangdong Province, 2000-2020, figureFileSmall=Uc79TBfmmY9PQhd90BjGcg==, figureFileBig=shi+9i//vgoI3/x9/8HY5w==, tableContent=null), ArticleFig(id=1324077743150859205, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=CN, label=图2, caption=
2000—2020年广东省各地市两系统匹配度变化趋势, figureFileSmall=Uc79TBfmmY9PQhd90BjGcg==, figureFileBig=shi+9i//vgoI3/x9/8HY5w==, tableContent=null), ArticleFig(id=1324077743238939590, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=EN, label=Table 1, caption=
Evaluation indicator system for aging degree and medical resource supply in Guangdong Province
, figureFileSmall=null, figureFileBig=null, tableContent=
| 评价系统 | 指标维度 | 指标项 | 方向 | 指标权重 |
|---|
| 老年 | 老年人口数量 | 65岁及以上老年人口数(人) | + | 0.281 |
| 人口老龄化水平 | 65岁及以上老年人口比重(%) | + | 0.146 |
| 老年人口密度 | 65岁及以上老年人口/区域面积(人/km2) | + | 0.573 |
| 医疗资源供给 | 人力资源 | 卫生技术人员数(人) | + | 0.389 |
| 物力资源 | 医疗卫生机构数(个) | + | 0.323 |
| | 床位数(张) | + | 0.288 |
), ArticleFig(id=1324077743322825671, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=CN, label=表1, caption=
广东省老龄化程度与医疗资源供给评价指标体系
, figureFileSmall=null, figureFileBig=null, tableContent=
| 评价系统 | 指标维度 | 指标项 | 方向 | 指标权重 |
|---|
| 老年 | 老年人口数量 | 65岁及以上老年人口数(人) | + | 0.281 |
| 人口老龄化水平 | 65岁及以上老年人口比重(%) | + | 0.146 |
| 老年人口密度 | 65岁及以上老年人口/区域面积(人/km2) | + | 0.573 |
| 医疗资源供给 | 人力资源 | 卫生技术人员数(人) | + | 0.389 |
| 物力资源 | 医疗卫生机构数(个) | + | 0.323 |
| | 床位数(张) | + | 0.288 |
), ArticleFig(id=1324077743457043400, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=EN, label=Table 2, caption=
Criteria for classifying coupling coordination types and matching degree levels
, figureFileSmall=null, figureFileBig=null, tableContent=
| 协调类型 | 耦合协调度(D) | 匹配度 |
|---|
| 失调衰退型 | 0≤D<0.199 | 重度不匹配 |
| 0.200≤D<0.299 | 中度不匹配 |
| 0.300≤D<0.399 | 轻度不匹配 |
| 过渡调和型 | 0.400≤D<0.499 | 勉强匹配 |
| 0.500≤D<0.599 | 基本匹配 |
| 协调发展型 | 0.600≤D<0.699 | 初级匹配 |
| 0.700≤D<0.799 | 良好匹配 |
| 0.800≤D≤1.000 | 优质匹配 |
), ArticleFig(id=1324077743536735177, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=CN, label=表2, caption=
耦合协调类型与匹配度划分标准
, figureFileSmall=null, figureFileBig=null, tableContent=
| 协调类型 | 耦合协调度(D) | 匹配度 |
|---|
| 失调衰退型 | 0≤D<0.199 | 重度不匹配 |
| 0.200≤D<0.299 | 中度不匹配 |
| 0.300≤D<0.399 | 轻度不匹配 |
| 过渡调和型 | 0.400≤D<0.499 | 勉强匹配 |
| 0.500≤D<0.599 | 基本匹配 |
| 协调发展型 | 0.600≤D<0.699 | 初级匹配 |
| 0.700≤D<0.799 | 良好匹配 |
| 0.800≤D≤1.000 | 优质匹配 |
), ArticleFig(id=1324077743591261130, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=EN, label=Table 3, caption=
Number of elderly population and medical resource supply in Guangdong Province, 2000—2020
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 65岁及以上老年人口 | 医疗卫生机构(个) | 卫生技术人员(人) | 床位数(张) |
|---|
| 数量(人) | 比重(%) | 密度(人/km2) |
|---|
| 2000 | 5 259 948 | 6.17 | 29.25 | 8 984 | 264 990 | 168 143 |
| 2010 | 7 086 150 | 6.79 | 39.41 | 16 541 | 446 456 | 300 083 |
| 2020 | 10 813 000 | 8.58 | 60.14 | 55 900 | 832 061 | 564 701 |
| 年均增长率(%) | 3.67 | 1.66 | 3.67 | 9.57 | 5.89 | 6.24 |
), ArticleFig(id=1324077743670952907, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=CN, label=表3, caption=
2000—2020年广东省老年人口数量及医疗资源供给情况
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 65岁及以上老年人口 | 医疗卫生机构(个) | 卫生技术人员(人) | 床位数(张) |
|---|
| 数量(人) | 比重(%) | 密度(人/km2) |
|---|
| 2000 | 5 259 948 | 6.17 | 29.25 | 8 984 | 264 990 | 168 143 |
| 2010 | 7 086 150 | 6.79 | 39.41 | 16 541 | 446 456 | 300 083 |
| 2020 | 10 813 000 | 8.58 | 60.14 | 55 900 | 832 061 | 564 701 |
| 年均增长率(%) | 3.67 | 1.66 | 3.67 | 9.57 | 5.89 | 6.24 |
), ArticleFig(id=1324077743759033292, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=EN, label=Table 4, caption=
Coupling indices of the two systems in various cities of Guangdong Province, 2000-2020
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地区 | 地市 | 2000年 | 2010年 | 2020年 |
|---|
| C | T | D | C | T | D | C | T | D |
|---|
| 珠三角 | 广州 | 1.000 | 0.316 | 0.562 | 0.997 | 0.478 | 0.691 | 0.990 | 0.879 | 0.933 |
| 深圳 | 1.000 | 0.075 | 0.274 | 0.981 | 0.258 | 0.503 | 1.000 | 0.684 | 0.827 |
| 珠海 | 0.698 | 0.040 | 0.167 | 0.911 | 0.085 | 0.278 | 0.917 | 0.184 | 0.411 |
| 佛山 | 0.927 | 0.151 | 0.374 | 0.969 | 0.239 | 0.481 | 0.975 | 0.461 | 0.671 |
| 江门 | 0.857 | 0.127 | 0.331 | 0.912 | 0.159 | 0.381 | 0.972 | 0.292 | 0.533 |
| 东莞 | 0.723 | 0.070 | 0.226 | 0.999 | 0.173 | 0.415 | 1.000 | 0.389 | 0.623 |
| 中山 | 0.479 | 0.083 | 0.199 | 0.868 | 0.130 | 0.336 | 0.890 | 0.265 | 0.486 |
| 肇庆 | 0.877 | 0.088 | 0.278 | 0.919 | 0.126 | 0.340 | 0.999 | 0.264 | 0.513 |
| 惠州 | 0.838 | 0.064 | 0.232 | 0.989 | 0.107 | 0.326 | 0.965 | 0.254 | 0.496 |
| 粤东 | 汕头 | 0.528 | 0.208 | 0.331 | 0.647 | 0.267 | 0.415 | 0.818 | 0.478 | 0.625 |
| 汕尾 | 0.321 | 0.058 | 0.137 | 0.699 | 0.093 | 0.255 | 0.947 | 0.192 | 0.427 |
| 潮州 | 0.481 | 0.110 | 0.230 | 0.730 | 0.145 | 0.325 | 0.905 | 0.278 | 0.502 |
| 揭阳 | 0.532 | 0.125 | 0.257 | 0.675 | 0.167 | 0.335 | 0.973 | 0.371 | 0.601 |
| 粤西 | 湛江 | 0.925 | 0.135 | 0.353 | 0.953 | 0.209 | 0.446 | 1.000 | 0.392 | 0.626 |
| 茂名 | 0.802 | 0.119 | 0.309 | 0.855 | 0.177 | 0.390 | 0.999 | 0.393 | 0.626 |
| 阳江 | 0.563 | 0.074 | 0.203 | 0.734 | 0.107 | 0.280 | 0.983 | 0.204 | 0.448 |
| 粤北 | 韶关 | 0.973 | 0.082 | 0.282 | 0.955 | 0.119 | 0.337 | 1.000 | 0.214 | 0.462 |
| 梅州 | 0.859 | 0.114 | 0.313 | 0.952 | 0.163 | 0.394 | 0.999 | 0.284 | 0.533 |
| 河源 | 0.697 | 0.069 | 0.219 | 0.783 | 0.095 | 0.272 | 1.000 | 0.195 | 0.441 |
| 清远 | 0.903 | 0.090 | 0.285 | 0.909 | 0.118 | 0.328 | 1.000 | 0.232 | 0.482 |
| 云浮 | 0.547 | 0.070 | 0.195 | 0.659 | 0.098 | 0.254 | 0.954 | 0.178 | 0.412 |
), ArticleFig(id=1324077743851307981, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077735252984739, language=CN, label=表4, caption=
2000—2020年广东省各地市两系统耦合指数
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地区 | 地市 | 2000年 | 2010年 | 2020年 |
|---|
| C | T | D | C | T | D | C | T | D |
|---|
| 珠三角 | 广州 | 1.000 | 0.316 | 0.562 | 0.997 | 0.478 | 0.691 | 0.990 | 0.879 | 0.933 |
| 深圳 | 1.000 | 0.075 | 0.274 | 0.981 | 0.258 | 0.503 | 1.000 | 0.684 | 0.827 |
| 珠海 | 0.698 | 0.040 | 0.167 | 0.911 | 0.085 | 0.278 | 0.917 | 0.184 | 0.411 |
| 佛山 | 0.927 | 0.151 | 0.374 | 0.969 | 0.239 | 0.481 | 0.975 | 0.461 | 0.671 |
| 江门 | 0.857 | 0.127 | 0.331 | 0.912 | 0.159 | 0.381 | 0.972 | 0.292 | 0.533 |
| 东莞 | 0.723 | 0.070 | 0.226 | 0.999 | 0.173 | 0.415 | 1.000 | 0.389 | 0.623 |
| 中山 | 0.479 | 0.083 | 0.199 | 0.868 | 0.130 | 0.336 | 0.890 | 0.265 | 0.486 |
| 肇庆 | 0.877 | 0.088 | 0.278 | 0.919 | 0.126 | 0.340 | 0.999 | 0.264 | 0.513 |
| 惠州 | 0.838 | 0.064 | 0.232 | 0.989 | 0.107 | 0.326 | 0.965 | 0.254 | 0.496 |
| 粤东 | 汕头 | 0.528 | 0.208 | 0.331 | 0.647 | 0.267 | 0.415 | 0.818 | 0.478 | 0.625 |
| 汕尾 | 0.321 | 0.058 | 0.137 | 0.699 | 0.093 | 0.255 | 0.947 | 0.192 | 0.427 |
| 潮州 | 0.481 | 0.110 | 0.230 | 0.730 | 0.145 | 0.325 | 0.905 | 0.278 | 0.502 |
| 揭阳 | 0.532 | 0.125 | 0.257 | 0.675 | 0.167 | 0.335 | 0.973 | 0.371 | 0.601 |
| 粤西 | 湛江 | 0.925 | 0.135 | 0.353 | 0.953 | 0.209 | 0.446 | 1.000 | 0.392 | 0.626 |
| 茂名 | 0.802 | 0.119 | 0.309 | 0.855 | 0.177 | 0.390 | 0.999 | 0.393 | 0.626 |
| 阳江 | 0.563 | 0.074 | 0.203 | 0.734 | 0.107 | 0.280 | 0.983 | 0.204 | 0.448 |
| 粤北 | 韶关 | 0.973 | 0.082 | 0.282 | 0.955 | 0.119 | 0.337 | 1.000 | 0.214 | 0.462 |
| 梅州 | 0.859 | 0.114 | 0.313 | 0.952 | 0.163 | 0.394 | 0.999 | 0.284 | 0.533 |
| 河源 | 0.697 | 0.069 | 0.219 | 0.783 | 0.095 | 0.272 | 1.000 | 0.195 | 0.441 |
| 清远 | 0.903 | 0.090 | 0.285 | 0.909 | 0.118 | 0.328 | 1.000 | 0.232 | 0.482 |
| 云浮 | 0.547 | 0.070 | 0.195 | 0.659 | 0.098 | 0.254 | 0.954 | 0.178 | 0.412 |
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