Article(id=1324078125264536045, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078037817504735, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202508040, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1754236800000, receivedDateStr=2025-08-04, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793614425244, onlineDateStr=2026-11-02, pubDate=1770652800000, pubDateStr=2026-02-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793614425244, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793614425244, creator=13701087609, updateTime=1793614425244, updator=13701087609, issue=Issue{id=1324078037817504735, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='3', pageStart='385', pageEnd='576', issueExtLink='null', onlineDate='null', pubDate='1770652800000', pubDateStr='2026-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793614404396, creator='13701087609', updateTime=1793614474144, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324078330420527919, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078037817504735, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324078330420527920, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078037817504735, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=479, endPage=485, ext={EN=ArticleExt(id=1324078125486834158, articleId=1324078125264536045, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Regional disparities and spatial distribution of human resource allocation in county-level medical and health sub-centers in Sichuan Province, columnId=1228016572892119056, journalTitle=Modern Preventive Medicine, columnName=Primary Health Services, runingTitle=null, highlight=null, articleAbstract=
Objective To analyze the regional disparities and spatial distribution characteristics of human resource allocation in county-level medical and health sub-centers in Sichuan Province, and to provide a basis for optimizing the allocation of primary health resources.
Methods The Dagum Gini coefficient, Health Resource Density Index (HRDI), and Health Resource Agglomeration Degree(HRAD) were used to evaluate the current status and regional disparities in resource allocation, combined with exploratory spatial data analysis to examine spatial distribution characteristics.
Results From 2021 to 2023, the overall Gini coefficient for health human resources in Sichuan’s sub-centers decreased from 0.309 to 0.280, indicating an improvement in the equity of resource allocation. However, regional disparities remained prominent. The HRDI in Northeast Sichuan was 1.757, 4.71 times that of Northwest Sichuan. Structural imbalances were evident, with the density of general practitioners in Northwest Sichuan being only 20.3% of that in the Chengdu Plain. In terms of agglomeration, a mismatch was observed between geographical and population distribution. Chengdu showed a high level of geographical agglomeration, while the three autonomous prefectures had an HRAD<1. Based on population distribution, Chengdu had an HRAD/population agglomeration degree(PAD) <1, indicating a relative shortage of resources, whereas Aba and Ganzi were relatively well-resourced. Spatial analysis further revealed significant clustering of resources, forming a polarized pattern with Ziyang-Suining-Meishan as a “High-High” clustering zone and Ganzi-Liangshan as a “Low-Low” clustering zone.
Conclusion The total quantity and allocation equity of human resources in sub-centers have improved annually, but regional disparities and spatial clustering contradictions persist. Measures such as targeted financial investment, cultivation of local talent, and promotion of resource sharing can help address structural imbalances and promote balanced development of regional health services.
, authors=Qi-yao HU
1, Dan LI
1, Li CHEN
1, Mao-yao DUAN
1, Li-yan ZHU
2, Wei-zi YAO
3, Ying XIONG
4, Jia-wei LI
1, authorsList=Qi-yao HU, Dan LI, Li CHEN, Mao-yao DUAN, Li-yan ZHU, Wei-zi YAO, Ying XIONG, Jia-wei LI, authorCompany=null, correspAuthors=Jia-wei LI, 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=1324078127818867188, articleId=1324078125264536045, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=四川省县域医疗卫生次中心人力资源配置区域差异及空间分布研究, columnId=1228016573533847611, journalTitle=现代预防医学, columnName=基层卫生服务, runingTitle=null, highlight=null, articleAbstract=
目的 分析四川省县域医疗卫生次中心人力资源配置的区域差异与空间分布特征,为优化基层卫生资源配置提供依据。
方法 运用Dagum基尼系数、卫生资源密度指数(health resource density index,HRDI)及卫生资源集聚度(health resource aggregation degree, HRAD)评估资源配置现状及区域差异,并结合探索性空间数据分析其空间分布特征。
结果 2021—2023年,四川省次中心卫生人力资源总体基尼系数由0.309降至0.280,资源配置公平性有所提升,然而区域差异仍然突出,川东北卫生资源密度指数为1.757,是川西北的4.71倍;结构失衡明显,川西北全科医师密度仅为成都平原的20.3%。从集聚度看,地理与人口分布存在错位:成都市按地理面积配置高度集聚,而三州地区HRAD<1;按人口分布衡量,成都市HRAD/人口集聚度(population agglomeration degree,PAD)<1,资源相对不足,阿坝、甘孜则相对富集。空间分析进一步显示,资源分布呈现显著集聚特征,形成以资阳-遂宁-眉山为“高高”集聚区、甘孜-凉山为“低低”集聚区的两极格局。
结论 次中心卫生人力资源总量及公平性逐年提升,但区域差异与空间集聚矛盾仍存。可通过精准投入财政、培养本土化人才、促进资源共享等措施,破解结构性失衡,推动区域卫生服务均衡发展。
, authors=胡琪堯
1, 李丹
1, 陈丽
1, 段茂瑶
1, 朱立燕
2, 姚魏紫
3, 熊颖
4, 李家伟
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胡琪堯(2000—),男,硕士在读,研究方向:卫生管理与政策研究
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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=i4Iq8NhbH1k2FbiqbBxJ0A==, magXml=3EmSjN0mzS7cZb6aRZOhjQ==, pdfUrl=null, pdf=iPswiAsrejeGY53WzzYizw==, pdfFileSize=968693, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=vW9USf3XTljfrb7E9M/80A==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=3XflVRkNK+AyGUZ6kWZDvA==, mapNumber=null, fund=null)}, authors=[Author(id=1324078128531898879, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, 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=1324078128640950785, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, authorId=1324078128531898879, language=EN, stringName=Qi-yao HU, firstName=Qi-yao, middleName=null, lastName=HU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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48(11): 1987-1991. (In Chinese)), articleTitle=Study on the allocation and demand forecast of health human resource of township hospital and village clinics in ethnic minority areas of Sichuan province, refAbstract=null)], funds=[Fund(id=1324078136341692990, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, awardId=H20240006, language=CN, fundingSource=四川省“十五五”卫生健康发展规划基础研究(H20240006), fundOrder=null, country=null), Fund(id=1324078136429773375, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, awardId=0701-234011130073, language=CN, fundingSource=2023年四川省县域医疗卫生次中心建设项目监测与验收(0701-234011130073), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324078128078914037, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, xref=1., ext=[AuthorCompanyExt(id=1324078128179577334, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, companyId=1324078128078914037, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Management, Chengdu University of Traditional Chinese Medicine/Sichuan Institute of Health, Chengdu, Sichuan 611137, China), AuthorCompanyExt(id=1324078128192160247, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, companyId=1324078128078914037, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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Spatial distribution map of sub-center health human resources in Sichuan Province, 2021—2023, figureFileSmall=M65qU1IMh3IMLeaK0xiWPA==, figureFileBig=vW9USf3XTljfrb7E9M/80A==, tableContent=null), ArticleFig(id=1324078133334377009, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=CN, label=图1, caption=
2021—2023年四川省次中心卫生人力资源分布图注:底图源于国家地理信息公共服务平台,审图号GS(2024)0650号。
, figureFileSmall=M65qU1IMh3IMLeaK0xiWPA==, figureFileBig=vW9USf3XTljfrb7E9M/80A==, tableContent=null), ArticleFig(id=1324078133581840946, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=EN, label=Figure 2, caption=
LISA map of health technician aggregation in sub-centers of Sichuan Province, 2021—2023, figureFileSmall=6TJlCHJiWpJnM4851WLxgQ==, figureFileBig=iO/aa3mA4LbdITPEDARjcg==, tableContent=null), ArticleFig(id=1324078133653144115, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=CN, label=图2, caption=
2021—2023年四川省次中心卫生技术人员集聚度局部空间关联指数图, figureFileSmall=6TJlCHJiWpJnM4851WLxgQ==, figureFileBig=iO/aa3mA4LbdITPEDARjcg==, tableContent=null), ArticleFig(id=1324078133753807412, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=EN, label=Table 1, caption=
Dagum Gini coefficient and contribution rate results of sub-center health human resources in Sichuan Province, 2021—2023
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份(年) | 组内基尼系数 | 基尼系数 | 贡献率(%) |
|---|
| 川东北经济区 | 川南经济区 | 川西北生态示范区 | 成都平原经济区 | 攀西经济区 | 总体 | 组内基尼系数Gw | 组间基尼系数Gb | 超变密度基尼系数Gt | 组内贡献率Gw | 组间贡献率Gb | 超变密度贡献率Gt |
|---|
| 2021 | 0.285 | 0.217 | 0.297 | 0.317 | 0.336 | 0.309 | 0.091 | 0.069 | 0.149 | 29.49 | 22.21 | 48.30 |
| 2022 | 0.264 | 0.234 | 0.304 | 0.306 | 0.284 | 0.294 | 0.087 | 0.056 | 0.151 | 29.73 | 19.08 | 51.19 |
| 2023 | 0.270 | 0.230 | 0.148 | 0.293 | 0.250 | 0.280 | 0.085 | 0.056 | 0.138 | 30.46 | 20.20 | 49.34 |
), ArticleFig(id=1324078133829304885, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=CN, label=表1, caption=
2021—2023年四川省次中心卫生人力资源Dagum基尼系数及贡献率结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份(年) | 组内基尼系数 | 基尼系数 | 贡献率(%) |
|---|
| 川东北经济区 | 川南经济区 | 川西北生态示范区 | 成都平原经济区 | 攀西经济区 | 总体 | 组内基尼系数Gw | 组间基尼系数Gb | 超变密度基尼系数Gt | 组内贡献率Gw | 组间贡献率Gb | 超变密度贡献率Gt |
|---|
| 2021 | 0.285 | 0.217 | 0.297 | 0.317 | 0.336 | 0.309 | 0.091 | 0.069 | 0.149 | 29.49 | 22.21 | 48.30 |
| 2022 | 0.264 | 0.234 | 0.304 | 0.306 | 0.284 | 0.294 | 0.087 | 0.056 | 0.151 | 29.73 | 19.08 | 51.19 |
| 2023 | 0.270 | 0.230 | 0.148 | 0.293 | 0.250 | 0.280 | 0.085 | 0.056 | 0.138 | 30.46 | 20.20 | 49.34 |
), ArticleFig(id=1324078133929968182, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=EN, label=Table 2, caption=
Between-group Gini coefficients of sub-center health human resources in Sichuan Province, 2021—2023
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 川东北&川西北 | 川东北&成都平原 | 川南&川东北 | 川南&川西北 | 川西北&成都平原 | 川西北&攀西 | 成都平原&川南 | 成都平原&攀西 | 攀西&川东北 | 攀西&川南 |
|---|
| 2021 | 0.429 | 0.303 | 0.258 | 0.454 | 0.456 | 0.413 | 0.273 | 0.341 | 0.322 | 0.307 |
| 2022 | 0.393 | 0.288 | 0.252 | 0.406 | 0.430 | 0.363 | 0.272 | 0.316 | 0.289 | 0.283 |
| 2023 | 0.291 | 0.286 | 0.255 | 0.301 | 0.335 | 0.233 | 0.264 | 0.305 | 0.276 | 0.274 |
), ArticleFig(id=1324078134018048567, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=CN, label=表2, caption=
2021—2023年四川省次中心卫生人力资源组间基尼系数
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 川东北&川西北 | 川东北&成都平原 | 川南&川东北 | 川南&川西北 | 川西北&成都平原 | 川西北&攀西 | 成都平原&川南 | 成都平原&攀西 | 攀西&川东北 | 攀西&川南 |
|---|
| 2021 | 0.429 | 0.303 | 0.258 | 0.454 | 0.456 | 0.413 | 0.273 | 0.341 | 0.322 | 0.307 |
| 2022 | 0.393 | 0.288 | 0.252 | 0.406 | 0.430 | 0.363 | 0.272 | 0.316 | 0.289 | 0.283 |
| 2023 | 0.291 | 0.286 | 0.255 | 0.301 | 0.335 | 0.233 | 0.264 | 0.305 | 0.276 | 0.274 |
), ArticleFig(id=1324078134093546040, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=EN, label=Table 3, caption=
Density index of sub-center health human resources in Sichuan Province, 2021—2023
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 地区 | 卫生技术人员 | 执业(助理)医师 | 全科医师 | 注册护士 |
|---|
| 2021 | 攀西经济区 | 0.946 | 0.295 | 0.103 | 0.350 |
| 川西北生态示范区 | 0.371 | 0.111 | 0.039 | 0.129 |
| 川南经济区 | 1.337 | 0.452 | 0.156 | 0.559 |
| 川东北经济区 | 1.444 | 0.551 | 0.146 | 0.576 |
| 成都平原经济区 | 1.372 | 0.487 | 0.210 | 0.540 |
| 四川省 | 1.098 | 0.391 | 0.143 | 0.437 |
| 2022 | 攀西经济区 | 1.121 | 0.388 | 0.123 | 0.417 |
| 川西北生态示范区 | 0.375 | 0.123 | 0.047 | 0.143 |
| 川南经济区 | 1.602 | 0.517 | 0.190 | 0.672 |
| 川东北经济区 | 1.628 | 0.635 | 0.180 | 0.648 |
| 成都平原经济区 | 1.522 | 0.546 | 0.243 | 0.590 |
| 四川省 | 1.244 | 0.446 | 0.169 | 0.493 |
| 2023 | 攀西经济区 | 1.268 | 0.485 | 0.132 | 0.515 |
| 川西北生态示范区 | 0.373 | 0.103 | 0.053 | 0.115 |
| 川南经济区 | 1.689 | 0.556 | 0.199 | 0.723 |
| 川东北经济区 | 1.757 | 0.674 | 0.235 | 0.725 |
| 成都平原经济区 | 1.583 | 0.581 | 0.260 | 0.636 |
| 四川省 | 1.314 | 0.477 | 0.188 | 0.537 |
), ArticleFig(id=1324078134177432121, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=CN, label=表3, caption=
2021—2023年四川省次中心卫生人力资源密度指数
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 地区 | 卫生技术人员 | 执业(助理)医师 | 全科医师 | 注册护士 |
|---|
| 2021 | 攀西经济区 | 0.946 | 0.295 | 0.103 | 0.350 |
| 川西北生态示范区 | 0.371 | 0.111 | 0.039 | 0.129 |
| 川南经济区 | 1.337 | 0.452 | 0.156 | 0.559 |
| 川东北经济区 | 1.444 | 0.551 | 0.146 | 0.576 |
| 成都平原经济区 | 1.372 | 0.487 | 0.210 | 0.540 |
| 四川省 | 1.098 | 0.391 | 0.143 | 0.437 |
| 2022 | 攀西经济区 | 1.121 | 0.388 | 0.123 | 0.417 |
| 川西北生态示范区 | 0.375 | 0.123 | 0.047 | 0.143 |
| 川南经济区 | 1.602 | 0.517 | 0.190 | 0.672 |
| 川东北经济区 | 1.628 | 0.635 | 0.180 | 0.648 |
| 成都平原经济区 | 1.522 | 0.546 | 0.243 | 0.590 |
| 四川省 | 1.244 | 0.446 | 0.169 | 0.493 |
| 2023 | 攀西经济区 | 1.268 | 0.485 | 0.132 | 0.515 |
| 川西北生态示范区 | 0.373 | 0.103 | 0.053 | 0.115 |
| 川南经济区 | 1.689 | 0.556 | 0.199 | 0.723 |
| 川东北经济区 | 1.757 | 0.674 | 0.235 | 0.725 |
| 成都平原经济区 | 1.583 | 0.581 | 0.260 | 0.636 |
| 四川省 | 1.314 | 0.477 | 0.188 | 0.537 |
), ArticleFig(id=1324078134357787194, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=EN, label=Table 4, caption=
Aggregation degree of sub-center health human resources in Sichuan Province, 2023
, figureFileSmall=null, figureFileBig=null, tableContent=
| 市州 | PAD | 卫生技术人员 | 执业(助理)医师 | 全科医师 | 注册护士 |
|---|
| HRAD | 比值 | HRAD | 比值 | HRAD | 比值 | HRAD | 比值 |
|---|
| 成都平原经济区 | 1.928 | 1.672 | 0.867 | 1.692 | 0.878 | 1.913 | 0.992 | 1.642 | 0.852 |
| 成都 | 4.721 | 2.875 | 0.609 | 2.754 | 0.583 | 3.546 | 0.751 | 3.011 | 0.638 |
| 德阳 | 1.657 | 1.942 | 1.172 | 1.875 | 1.132 | 2.194 | 1.324 | 1.896 | 1.144 |
| 乐山 | 1.295 | 1.362 | 1.052 | 1.504 | 1.161 | 1.233 | 0.952 | 1.457 | 1.125 |
| 眉山 | 1.419 | 1.432 | 1.009 | 1.577 | 1.112 | 2.290 | 1.614 | 1.581 | 1.115 |
| 绵阳 | 1.049 | 1.040 | 0.992 | 1.200 | 1.145 | 1.038 | 0.990 | 0.853 | 0.813 |
| 遂宁 | 1.905 | 2.031 | 1.066 | 1.868 | 0.981 | 1.861 | 0.977 | 2.004 | 1.052 |
| 雅安 | 1.042 | 1.007 | 0.967 | 1.143 | 1.097 | 1.364 | 1.309 | 0.728 | 0.699 |
| 资阳 | 1.372 | 1.724 | 1.257 | 1.488 | 1.085 | 1.762 | 1.285 | 1.694 | 1.235 |
| 川东北经济区 | 1.379 | 1.571 | 1.139 | 1.662 | 1.205 | 1.466 | 1.063 | 1.584 | 1.149 |
| 巴中 | 0.865 | 1.358 | 1.571 | 1.405 | 1.625 | 1.199 | 1.387 | 1.564 | 1.809 |
| 达州 | 1.316 | 1.410 | 1.071 | 1.494 | 1.135 | 1.368 | 1.039 | 1.434 | 1.090 |
| 广安 | 2.761 | 2.705 | 0.980 | 3.014 | 1.091 | 2.492 | 0.903 | 2.777 | 1.006 |
| 广元 | 0.747 | 0.935 | 1.252 | 1.120 | 1.500 | 1.117 | 1.496 | 0.739 | 0.989 |
| 南充 | 1.683 | 1.842 | 1.094 | 1.843 | 1.095 | 1.596 | 0.948 | 1.747 | 1.038 |
| 川南经济区 | 1.361 | 1.499 | 1.102 | 1.360 | 1.000 | 1.230 | 0.904 | 1.570 | 1.154 |
| 泸州 | 1.305 | 1.439 | 1.103 | 1.229 | 0.942 | 0.889 | 0.681 | 1.634 | 1.252 |
| 内江 | 1.837 | 1.863 | 1.014 | 1.712 | 0.932 | 1.938 | 1.055 | 2.036 | 1.108 |
| 宜宾 | 1.033 | 1.164 | 1.126 | 1.087 | 1.052 | 0.967 | 0.936 | 1.192 | 1.153 |
| 自贡 | 1.923 | 2.279 | 1.185 | 2.109 | 1.097 | 1.909 | 0.993 | 2.033 | 1.057 |
| 川西北生态经济区 | 0.020 | 0.040 | 1.996 | 0.031 | 1.515 | 0.040 | 1.972 | 0.030 | 1.501 |
| 阿坝 | 0.039 | 0.078 | 2.007 | 0.065 | 1.686 | 0.068 | 1.749 | 0.064 | 1.648 |
| 甘孜 | 0.017 | 0.035 | 1.992 | 0.025 | 1.455 | 0.036 | 2.049 | 0.025 | 1.450 |
| 攀西经济区 | 0.447 | 0.645 | 1.444 | 0.680 | 1.523 | 0.468 | 1.049 | 0.640 | 1.433 |
| 凉山 | 0.420 | 0.578 | 1.376 | 0.584 | 1.393 | 0.445 | 1.059 | 0.528 | 1.257 |
| 攀枝花 | 0.527 | 0.844 | 1.602 | 0.964 | 1.830 | 0.539 | 1.024 | 0.973 | 1.847 |
), ArticleFig(id=1324078134450061883, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=CN, label=表4, caption=
2023年四川省次中心卫生人力资源聚集度
, figureFileSmall=null, figureFileBig=null, tableContent=
| 市州 | PAD | 卫生技术人员 | 执业(助理)医师 | 全科医师 | 注册护士 |
|---|
| HRAD | 比值 | HRAD | 比值 | HRAD | 比值 | HRAD | 比值 |
|---|
| 成都平原经济区 | 1.928 | 1.672 | 0.867 | 1.692 | 0.878 | 1.913 | 0.992 | 1.642 | 0.852 |
| 成都 | 4.721 | 2.875 | 0.609 | 2.754 | 0.583 | 3.546 | 0.751 | 3.011 | 0.638 |
| 德阳 | 1.657 | 1.942 | 1.172 | 1.875 | 1.132 | 2.194 | 1.324 | 1.896 | 1.144 |
| 乐山 | 1.295 | 1.362 | 1.052 | 1.504 | 1.161 | 1.233 | 0.952 | 1.457 | 1.125 |
| 眉山 | 1.419 | 1.432 | 1.009 | 1.577 | 1.112 | 2.290 | 1.614 | 1.581 | 1.115 |
| 绵阳 | 1.049 | 1.040 | 0.992 | 1.200 | 1.145 | 1.038 | 0.990 | 0.853 | 0.813 |
| 遂宁 | 1.905 | 2.031 | 1.066 | 1.868 | 0.981 | 1.861 | 0.977 | 2.004 | 1.052 |
| 雅安 | 1.042 | 1.007 | 0.967 | 1.143 | 1.097 | 1.364 | 1.309 | 0.728 | 0.699 |
| 资阳 | 1.372 | 1.724 | 1.257 | 1.488 | 1.085 | 1.762 | 1.285 | 1.694 | 1.235 |
| 川东北经济区 | 1.379 | 1.571 | 1.139 | 1.662 | 1.205 | 1.466 | 1.063 | 1.584 | 1.149 |
| 巴中 | 0.865 | 1.358 | 1.571 | 1.405 | 1.625 | 1.199 | 1.387 | 1.564 | 1.809 |
| 达州 | 1.316 | 1.410 | 1.071 | 1.494 | 1.135 | 1.368 | 1.039 | 1.434 | 1.090 |
| 广安 | 2.761 | 2.705 | 0.980 | 3.014 | 1.091 | 2.492 | 0.903 | 2.777 | 1.006 |
| 广元 | 0.747 | 0.935 | 1.252 | 1.120 | 1.500 | 1.117 | 1.496 | 0.739 | 0.989 |
| 南充 | 1.683 | 1.842 | 1.094 | 1.843 | 1.095 | 1.596 | 0.948 | 1.747 | 1.038 |
| 川南经济区 | 1.361 | 1.499 | 1.102 | 1.360 | 1.000 | 1.230 | 0.904 | 1.570 | 1.154 |
| 泸州 | 1.305 | 1.439 | 1.103 | 1.229 | 0.942 | 0.889 | 0.681 | 1.634 | 1.252 |
| 内江 | 1.837 | 1.863 | 1.014 | 1.712 | 0.932 | 1.938 | 1.055 | 2.036 | 1.108 |
| 宜宾 | 1.033 | 1.164 | 1.126 | 1.087 | 1.052 | 0.967 | 0.936 | 1.192 | 1.153 |
| 自贡 | 1.923 | 2.279 | 1.185 | 2.109 | 1.097 | 1.909 | 0.993 | 2.033 | 1.057 |
| 川西北生态经济区 | 0.020 | 0.040 | 1.996 | 0.031 | 1.515 | 0.040 | 1.972 | 0.030 | 1.501 |
| 阿坝 | 0.039 | 0.078 | 2.007 | 0.065 | 1.686 | 0.068 | 1.749 | 0.064 | 1.648 |
| 甘孜 | 0.017 | 0.035 | 1.992 | 0.025 | 1.455 | 0.036 | 2.049 | 0.025 | 1.450 |
| 攀西经济区 | 0.447 | 0.645 | 1.444 | 0.680 | 1.523 | 0.468 | 1.049 | 0.640 | 1.433 |
| 凉山 | 0.420 | 0.578 | 1.376 | 0.584 | 1.393 | 0.445 | 1.059 | 0.528 | 1.257 |
| 攀枝花 | 0.527 | 0.844 | 1.602 | 0.964 | 1.830 | 0.539 | 1.024 | 0.973 | 1.847 |
), ArticleFig(id=1324078134538142268, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=EN, label=Table 5, caption=
Global moran’s I index results of health technician resource aggregation in sub-centers of Sichuan Province, 2021—2023
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份(年) | Moran I | P值 | Z值 |
|---|
| 2021 | 0.329 | 0.006 | 2.725 |
| 2022 | 0.351 | 0.004 | 2.878 |
| 2023 | 0.299 | 0.012 | 2.519 |
), ArticleFig(id=1324078134609445437, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078125264536045, language=CN, label=表5, caption=
2021—2023年四川省次中心卫生技术人员资源集聚度的全局莫兰指数结果
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| 年份(年) | Moran I | P值 | Z值 |
|---|
| 2021 | 0.329 | 0.006 | 2.725 |
| 2022 | 0.351 | 0.004 | 2.878 |
| 2023 | 0.299 | 0.012 | 2.519 |
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