Article(id=1324077622510100520, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077443828560770, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202510059, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1759593600000, receivedDateStr=2025-10-05, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793614305379, onlineDateStr=2026-11-02, pubDate=1775750400000, pubDateStr=2026-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793614305379, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793614305379, creator=13701087609, updateTime=1793614305379, updator=13701087609, issue=Issue{id=1324077443828560770, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='7', pageStart='1153', pageEnd='1344', issueExtLink='null', onlineDate='null', pubDate='1775750400000', pubDateStr='2026-04-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793614262778, creator='13701087609', updateTime=1793614352085, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324077818509918661, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077443828560770, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324077818509918662, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077443828560770, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1286, endPage=1291, ext={EN=ArticleExt(id=1324077622765953065, articleId=1324077622510100520, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Coordination between traditional chinese medicine healthcare resource allocation and socioeconomic development at the county level in Guizhou Province, columnId=1228016567846367388, journalTitle=Modern Preventive Medicine, columnName=Health Policy and Management, runingTitle=null, highlight=null, articleAbstract=
Objective

To explore the coupling coordination degree and relative development degree between traditional chinese medicine (TCM) healthcare resource allocation and socioeconomic development in Guizhou Province from 2021 to 2023.

Methods

The entropy method, coupling coordination degree model, relative development degree, and Moran's I were used to evaluate the coupling coordination relationship between TCM healthcare resource allocation and socioeconomic development across 88 counties in Guizhou Province during 2021—2023.

Results

From 2021 to 2023, the overall comprehensive score increased from 0.169 8 to 0.205 2, representing an increase of 20.85%. Both the coupling coordination degree and the relative development degree showed an overall upward trend, and the coordination status shifted from mild imbalance to near imbalance. Moran's I was greater than 0 in 2021—2023 (P<0.05), increasing from 0.041 in 2021 to 0.056 in 2023.

Conclusion

The overall comprehensive score between TCM healthcare resource allocation and socioeconomic development in Guizhou Province increased markedly, with an overall improving coordination trend and strengthened spatial clustering. Further efforts are needed to enhance the coordination between TCM healthcare resources and socioeconomic development and to promote balanced development across counties.

, authors=Yan-shan PENG, Qi-zhi HU, Peng-fei ZHANG, Qian YANG, Xin-zhu LI, authorsList=Yan-shan PENG, Qi-zhi HU, Peng-fei ZHANG, Qian YANG, Xin-zhu LI, authorCompany=null, correspAuthors=Qi-zhi HU, 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=1324077623357349932, articleId=1324077622510100520, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=贵州省县域中医医疗资源配置与社会经济发展的协调性研究, columnId=1228016568014139551, journalTitle=现代预防医学, columnName=卫生政策与管理, runingTitle=null, highlight=null, articleAbstract=
目的

探讨贵州省2021—2023年中医医疗资源配置与社会经济发展的耦合协调度、相对发展度等。

方法

运用熵值法、耦合协调度模型、相对发展度、莫兰指数评价贵州省2021—2023年88个县域中医医疗资源配置与社会经济发展的耦合协调关系。

结果

2021—2023年,总体综合得分从0.169 8升至0.205 2,增幅20.85%;耦合协调度、相对发展度整体上升,协调度从轻度失调过渡到濒临失调;2021—2023年中医医疗资源配置与社会经济发展的莫兰指数>0(P<0.05),莫兰指数估计值从2021年0.041增至2023年0.056。

结论

贵州省中医医疗资源配置与社会经济发展的整体综合得分显著提升,协调性发展态势总体向好,空间聚集性有所增强,应进一步提高中医医疗资源配置与社会经济发展的协调性,促进县域均衡发展。

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彭燕姗(2000—),女,硕士在读,研究方向:中医药事业管理

, correspAuthorsNote=
胡奇志,E-mail:
, copyrightStatement=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=oKpdb+KI8CdcAi0KYmE48w==, magXml=hNw0FAi2uzlcc7B/F5Y8Fw==, pdfUrl=null, pdf=W8j21CGwxgw1JMxoHEqc6A==, pdfFileSize=900977, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=TXXRVoS7Bb3YXLJg2i5RvA==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=m6u/UDvAZqHZekLKmAYg3Q==, mapNumber=null, fund=null)}, authors=[Author(id=1324077624074575921, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, 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=1324077624414314547, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, authorId=1324077624074575921, language=EN, stringName=Yan-shan PENG, firstName=Yan-shan, middleName=null, lastName=PENG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=The School of Humanities and Management, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou 550025, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1324077624775024692, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, authorId=1324077624074575921, language=CN, stringName=彭燕姗, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=贵州中医药大学 人文与管理学院,贵州 贵阳 550025, bio={"content":"

彭燕姗(2000—),女,硕士在读,研究方向:中医药事业管理

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彭燕姗(2000—),女,硕士在读,研究方向:中医药事业管理

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(In Chinese), articleTitle=Degree of coordination between primary care resource allocation and economic development in eastern, central and western China, refAbstract=null), Reference(id=1324077641845842052, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, doi=null, pmid=null, pmcid=null, year=2024, volume=51, issue=22, pageStart=4147, pageEnd=4152, 4158, url=null, language=null, rfNumber=[19], rfOrder=36, authorNames=刘亚, 赵盈喆, 陈澍盈, journalName=现代预防医学, refType=null, unstructuredReference=刘亚, 赵盈喆, 陈澍盈, 等. 基于耦合协调模型的我国中医医院医疗资源配置与服务利用研究[J]. 现代预防医学, 2024, 51(22): 4147-4152, 4158., articleTitle=基于耦合协调模型的我国中医医院医疗资源配置与服务利用研究, refAbstract=null), Reference(id=1324077641925533829, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, doi=null, pmid=null, pmcid=null, year=2024, volume=51, issue=22, pageStart=4147, pageEnd=4152, 4158, url=null, language=null, rfNumber=[19], rfOrder=37, authorNames=Liu Y, Zhao YZ, Chen SY, journalName=Modern Preventive Medicine, refType=null, unstructuredReference=Liu Y, Zhao YZ, Chen SY, et al. 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Study on the current situation and enhancement path of coordinated development of supply and demand of Chinese medicine medical resources——based on fuzzy set qualitative comparative analysis[J]. Health Economics Research, 2024, 41(5): 52-57. 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Spatial pattern and trend analysis of the coupling coordination degree between medical resource allocation of TCM and regional economic development in China[J]. Soft Science of Health, 2024, 38(10): 47-53. (In Chinese), articleTitle=Spatial pattern and trend analysis of the coupling coordination degree between medical resource allocation of TCM and regional economic development in China, refAbstract=null)], funds=[Fund(id=1324077633461428319, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, awardId=21BMZ169, language=CN, fundingSource=国家社会科学基金项目(21BMZ169), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324077623944552493, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, xref=null, ext=[AuthorCompanyExt(id=1324077623957135406, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, companyId=1324077623944552493, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=The School of Humanities and Management, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou 550025, China), AuthorCompanyExt(id=1324077623978106927, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, companyId=1324077623944552493, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=贵州中医药大学 人文与管理学院,贵州 贵阳 550025)])], figs=[ArticleFig(id=1324077631972450385, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=EN, label=Figure 1, caption=Moran's I scatter plot for the coupling coordination degree between TCM healthcare resource allocation and socioeconomic development at the county level in Guizhou Province, 2021—2023, figureFileSmall=jI0tDUioscDbtFYBqUZSpw==, figureFileBig=TXXRVoS7Bb3YXLJg2i5RvA==, tableContent=null), ArticleFig(id=1324077632068919378, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=CN, label=图1, caption=贵州省县域2021—2023年中医医疗资源配置-社会经济发展耦合协调度的莫兰指数散点图, figureFileSmall=jI0tDUioscDbtFYBqUZSpw==, figureFileBig=TXXRVoS7Bb3YXLJg2i5RvA==, tableContent=null), ArticleFig(id=1324077632287023187, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=EN, label=Table 1, caption=

Indicator system for TCM healthcare resource allocation and socioeconomic development at the county level in Guizhou Province

, figureFileSmall=null, figureFileBig=null, tableContent=
目标系统一级指标二级指标指标性质
医疗资源配置机构(A1)县办中医类医院覆盖率(%)正向
中医药综合服务区(中医馆)覆盖率(%)正向
床位(A2)每千人公立中医类医院床位数(张)正向
设备(A3)公立中医类医院年末5 000元以上中医诊疗设备台数(台)正向
人员(A4)千人中医执业(助理)医师数(人)正向
中医(专长)医师数量(人)正向
投入(A5)公立医院财政拨款收入中公立中医类医院院占比(%)正向
经济发展经济总量地区生产总值(亿元)正向
地区一般公共预算支出(亿元)正向
经济结构第二产业增加值(亿元)正向
第三产业增加值(亿元)正向
经济效益人均地区生产总值(元)正向
城镇常住居民人均可支配收入(元)正向
农村常住居民可支配收入(元)正向
), ArticleFig(id=1324077632375103572, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=CN, label=表1, caption=

贵州省县域中医医疗资源配置-社会经济发展指标体系

, figureFileSmall=null, figureFileBig=null, tableContent=
目标系统一级指标二级指标指标性质
医疗资源配置机构(A1)县办中医类医院覆盖率(%)正向
中医药综合服务区(中医馆)覆盖率(%)正向
床位(A2)每千人公立中医类医院床位数(张)正向
设备(A3)公立中医类医院年末5 000元以上中医诊疗设备台数(台)正向
人员(A4)千人中医执业(助理)医师数(人)正向
中医(专长)医师数量(人)正向
投入(A5)公立医院财政拨款收入中公立中医类医院院占比(%)正向
经济发展经济总量地区生产总值(亿元)正向
地区一般公共预算支出(亿元)正向
经济结构第二产业增加值(亿元)正向
第三产业增加值(亿元)正向
经济效益人均地区生产总值(元)正向
城镇常住居民人均可支配收入(元)正向
农村常住居民可支配收入(元)正向
), ArticleFig(id=1324077632475766869, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=EN, label=Table 2, caption=

Classification criteria

, figureFileSmall=null, figureFileBig=null, tableContent=
D值区间耦合协调等级E值区间相对发展度
(0,0.2]严重失调(0,0.8]资源滞后型
(0.2,0.3]中度失调(0.8,1.2)协调发展型
(0.3,0.4]轻度失调[1.2,+∞)经济滞后型
(0.4,0.5]濒临失调
(0.5,0.6]勉强协调
(0.6,0.7]初级协调
(0.7,0.8]中级协调
(0.8,0.9]良好协调
(0.9,1.0]优质协调
), ArticleFig(id=1324077632555458646, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=CN, label=表2, caption=

等级划分标准

, figureFileSmall=null, figureFileBig=null, tableContent=
D值区间耦合协调等级E值区间相对发展度
(0,0.2]严重失调(0,0.8]资源滞后型
(0.2,0.3]中度失调(0.8,1.2)协调发展型
(0.3,0.4]轻度失调[1.2,+∞)经济滞后型
(0.4,0.5]濒临失调
(0.5,0.6]勉强协调
(0.6,0.7]初级协调
(0.7,0.8]中级协调
(0.8,0.9]良好协调
(0.9,1.0]优质协调
), ArticleFig(id=1324077632626761815, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=EN, label=Table 3, caption=

Composite scores of TCM healthcare resource allocation and socioeconomic development at the county level in Guizhou Province

, figureFileSmall=null, figureFileBig=null, tableContent=
排名U1U2
地区2021年2023年均值地区2021年2023年均值
1三穗县0.465 30.521 80.500 2仁怀市0.697 80.839 90.770 4
2瓮安县0.450 30.544 30.497 2南明区0.457 70.495 60.476 5
3榕江县0.376 00.541 20.486 6云岩区0.430 40.469 90.446 1
4剑河县0.500 20.482 30.483 3观山湖区0.371 50.417 10.395 9
5石阡县0.388 50.483 10.433 8花溪区0.335 60.394 40.369 4
……………………
43纳雍县0.288 40.321 10.278 1赤水市0.075 30.085 60.079 3
44西秀区0.201 60.312 50.259 7玉屏县0.075 50.083 60.078 9
45台江县0.259 80.254 50.256 0沿河县0.075 30.082 00.078 2
46平坝区0.236 60.286 20.254 8平坝区0.074 10.084 70.077 9
47黔西市0.236 90.249 40.254 2赫章县0.074 60.081 60.076 9
……………………
84丹寨县0.016 70.037 70.025 1丹寨县0.024 70.038 90.032 1
85镇远县0.017 40.021 00.018 9雷山县0.026 00.038 80.031 5
86晴隆县0.011 60.023 90.017 9麻江县0.023 50.034 80.028 6
87紫云县0.007 30.026 10.017 5台江县0.018 60.036 80.027 6
88雷山县0.011 60.027 50.016 9施秉县0.020 50.034 30.027 3
), ArticleFig(id=1324077632744202328, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=CN, label=表3, caption=

贵州县域中医医疗资源配置-社会经济发展的综合得分

, figureFileSmall=null, figureFileBig=null, tableContent=
排名U1U2
地区2021年2023年均值地区2021年2023年均值
1三穗县0.465 30.521 80.500 2仁怀市0.697 80.839 90.770 4
2瓮安县0.450 30.544 30.497 2南明区0.457 70.495 60.476 5
3榕江县0.376 00.541 20.486 6云岩区0.430 40.469 90.446 1
4剑河县0.500 20.482 30.483 3观山湖区0.371 50.417 10.395 9
5石阡县0.388 50.483 10.433 8花溪区0.335 60.394 40.369 4
……………………
43纳雍县0.288 40.321 10.278 1赤水市0.075 30.085 60.079 3
44西秀区0.201 60.312 50.259 7玉屏县0.075 50.083 60.078 9
45台江县0.259 80.254 50.256 0沿河县0.075 30.082 00.078 2
46平坝区0.236 60.286 20.254 8平坝区0.074 10.084 70.077 9
47黔西市0.236 90.249 40.254 2赫章县0.074 60.081 60.076 9
……………………
84丹寨县0.016 70.037 70.025 1丹寨县0.024 70.038 90.032 1
85镇远县0.017 40.021 00.018 9雷山县0.026 00.038 80.031 5
86晴隆县0.011 60.023 90.017 9麻江县0.023 50.034 80.028 6
87紫云县0.007 30.026 10.017 5台江县0.018 60.036 80.027 6
88雷山县0.011 60.027 50.016 9施秉县0.020 50.034 30.027 3
), ArticleFig(id=1324077632832282713, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=EN, label=Table 4, caption=

Coordination scores between TCM healthcare resource allocation and socioeconomic development at the county level in Guizhou Province, 2021—2023

, figureFileSmall=null, figureFileBig=null, tableContent=
排名2021年2023年
地区D值E值地区D值E值
1仁怀市0.743 60.627 9仁怀市0.758 80.470 0
2花溪区0.572 80.955 6南明区0.605 20.546 3
3盘州市0.523 90.905 6盘州市0.566 20.990 2
4播州区0.498 02.004 8花溪区0.555 90.614 0
5开阳县0.479 72.549 0播州区0.549 52.433 6
…………
43绥阳县0.370 15.957 2观山湖区0.402 90.151 5
44南明区0.367 10.086 7玉屏县0.399 03.626 3
45普安县0.366 24.729 0白云区0.398 90.770 3
46赫章县0.365 93.224 0普定县0.398 63.833 9
47平坝区0.363 93.193 3道真县0.396 65.213 4
…………
84施秉县0.152 11.277 9丹寨县0.195 60.967 5
85麻江县0.146 40.833 2紫云县0.185 70.574 1
86丹寨县0.142 50.673 0雷山县0.180 70.709 2
87雷山县0.131 90.448 0施秉县0.180 70.909 4
88紫云县0.126 50.210 9镇远县0.176 30.456 7
均值0.357 93.626 30.406 63.424 8
), ArticleFig(id=1324077632937140314, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=CN, label=表4, caption=

2021—2023年贵州省各县域中医医疗资源配置与社会经济发展协调性得分

, figureFileSmall=null, figureFileBig=null, tableContent=
排名2021年2023年
地区D值E值地区D值E值
1仁怀市0.743 60.627 9仁怀市0.758 80.470 0
2花溪区0.572 80.955 6南明区0.605 20.546 3
3盘州市0.523 90.905 6盘州市0.566 20.990 2
4播州区0.498 02.004 8花溪区0.555 90.614 0
5开阳县0.479 72.549 0播州区0.549 52.433 6
…………
43绥阳县0.370 15.957 2观山湖区0.402 90.151 5
44南明区0.367 10.086 7玉屏县0.399 03.626 3
45普安县0.366 24.729 0白云区0.398 90.770 3
46赫章县0.365 93.224 0普定县0.398 63.833 9
47平坝区0.363 93.193 3道真县0.396 65.213 4
…………
84施秉县0.152 11.277 9丹寨县0.195 60.967 5
85麻江县0.146 40.833 2紫云县0.185 70.574 1
86丹寨县0.142 50.673 0雷山县0.180 70.709 2
87雷山县0.131 90.448 0施秉县0.180 70.909 4
88紫云县0.126 50.210 9镇远县0.176 30.456 7
均值0.357 93.626 30.406 63.424 8
), ArticleFig(id=1324077633029415003, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=EN, label=Table 5, caption=

Coordination analysis between dimensions of TCM healthcare resource allocation and socioeconomic development at the county level in Guizhou Province, 2021—2023

, figureFileSmall=null, figureFileBig=null, tableContent=
配置维度2021年2023年
DE协调等级与发展类型DE协调等级与发展类型
总体配置0.357 93.626 3轻度失调;经济滞后型0.406 63.424 8濒临失调;经济滞后型
机构A10.263 01.154 8中度失调;协调发展型0.295 21.017 9中度失调;协调发展型
床位A20.182 20.759 2严重失调;资源滞后型0.217 20.673 1中度失调;资源滞后型
设备A30.178 30.682 3严重失调;资源滞后型0.217 40.653 1中度失调;资源滞后型
人员A40.227 80.449 2中度失调;资源滞后型0.280 50.636 8中度失调;资源滞后型
投入A50.181 10.580 9严重失调;资源滞后型0.177 10.443 8严重失调;资源滞后型
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2021—2023年贵州省县域中医医疗资源配置各维度与经济发展的协调性分析

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配置维度2021年2023年
DE协调等级与发展类型DE协调等级与发展类型
总体配置0.357 93.626 3轻度失调;经济滞后型0.406 63.424 8濒临失调;经济滞后型
机构A10.263 01.154 8中度失调;协调发展型0.295 21.017 9中度失调;协调发展型
床位A20.182 20.759 2严重失调;资源滞后型0.217 20.673 1中度失调;资源滞后型
设备A30.178 30.682 3严重失调;资源滞后型0.217 40.653 1中度失调;资源滞后型
人员A40.227 80.449 2中度失调;资源滞后型0.280 50.636 8中度失调;资源滞后型
投入A50.181 10.580 9严重失调;资源滞后型0.177 10.443 8严重失调;资源滞后型
), ArticleFig(id=1324077633230741597, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077622510100520, language=EN, label=Table 6, caption=

Global Moran's I of the coupling coordination degree between TCM healthcare resource allocation and socioeconomic development at the county level in Guizhou Province

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年份(年)Moran IZ值P值
20210.0413.609<0.001
20220.0463.968<0.001
20230.0564.643<0.001
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贵州省县域中医医疗资源配置-社会经济发展耦合协调度的全局Moran I

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年份(年)Moran IZ值P值
20210.0413.609<0.001
20220.0463.968<0.001
20230.0564.643<0.001
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贵州省县域中医医疗资源配置与社会经济发展的协调性研究
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彭燕姗 , 胡奇志 , 张鹏飞 , 杨倩 , 李欣竹
现代预防医学 | 卫生政策与管理 2026,53(7): 1286-1291
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现代预防医学 |卫生政策与管理 2026 , 53 (7) : 1286 -1291
贵州省县域中医医疗资源配置与社会经济发展的协调性研究
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彭燕姗, 胡奇志 , 张鹏飞, 杨倩, 李欣竹
作者信息
  • 贵州中医药大学 人文与管理学院,贵州 贵阳 550025
通讯作者:
胡奇志,E-mail:
作者简介:

彭燕姗(2000—),女,硕士在读,研究方向:中医药事业管理

Coordination between traditional chinese medicine healthcare resource allocation and socioeconomic development at the county level in Guizhou Province
Yan-shan PENG, Qi-zhi HU , Peng-fei ZHANG, Qian YANG, Xin-zhu LI
Affiliations
  • The School of Humanities and Management, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou 550025, China
出版时间: 2026-04-10 doi: 10.20043/j.cnki.MPM.202510059
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目的

探讨贵州省2021—2023年中医医疗资源配置与社会经济发展的耦合协调度、相对发展度等。

方法

运用熵值法、耦合协调度模型、相对发展度、莫兰指数评价贵州省2021—2023年88个县域中医医疗资源配置与社会经济发展的耦合协调关系。

结果

2021—2023年,总体综合得分从0.169 8升至0.205 2,增幅20.85%;耦合协调度、相对发展度整体上升,协调度从轻度失调过渡到濒临失调;2021—2023年中医医疗资源配置与社会经济发展的莫兰指数>0(P<0.05),莫兰指数估计值从2021年0.041增至2023年0.056。

结论

贵州省中医医疗资源配置与社会经济发展的整体综合得分显著提升,协调性发展态势总体向好,空间聚集性有所增强,应进一步提高中医医疗资源配置与社会经济发展的协调性,促进县域均衡发展。

中医医疗资源  /  经济发展  /  耦合协调  /  空间分析
Objective

To explore the coupling coordination degree and relative development degree between traditional chinese medicine (TCM) healthcare resource allocation and socioeconomic development in Guizhou Province from 2021 to 2023.

Methods

The entropy method, coupling coordination degree model, relative development degree, and Moran's I were used to evaluate the coupling coordination relationship between TCM healthcare resource allocation and socioeconomic development across 88 counties in Guizhou Province during 2021—2023.

Results

From 2021 to 2023, the overall comprehensive score increased from 0.169 8 to 0.205 2, representing an increase of 20.85%. Both the coupling coordination degree and the relative development degree showed an overall upward trend, and the coordination status shifted from mild imbalance to near imbalance. Moran's I was greater than 0 in 2021—2023 (P<0.05), increasing from 0.041 in 2021 to 0.056 in 2023.

Conclusion

The overall comprehensive score between TCM healthcare resource allocation and socioeconomic development in Guizhou Province increased markedly, with an overall improving coordination trend and strengthened spatial clustering. Further efforts are needed to enhance the coordination between TCM healthcare resources and socioeconomic development and to promote balanced development across counties.

TCM healthcare resources  /  Economic development  /  Coupling coordination  /  Spatial analysis
彭燕姗, 胡奇志, 张鹏飞, 杨倩, 李欣竹. 贵州省县域中医医疗资源配置与社会经济发展的协调性研究. 现代预防医学, 2026 , 53 (7) : 1286 -1291 . DOI: 10.20043/j.cnki.MPM.202510059
Yan-shan PENG, Qi-zhi HU, Peng-fei ZHANG, Qian YANG, Xin-zhu LI. Coordination between traditional chinese medicine healthcare resource allocation and socioeconomic development at the county level in Guizhou Province[J]. Modern Preventive Medicine, 2026 , 53 (7) : 1286 -1291 . DOI: 10.20043/j.cnki.MPM.202510059
《“健康中国2030”规划纲要》指出经济保持中高速增长是健康中国坚实的基础。有研究认为卫生资源配置与社会经济发展存在一定耦合关联,相互影响[1]。基于耦合协调模型研究卫生资源空间集聚特征是卫生资源配置研究领域的热点和趋势。协调医疗资源配置与社会经济发展的互动关系,对于完善医疗服务体系,推进健康中国建设,促进经济高质量发展意义重大[2]。中医药是我国卫生资源的重要组成部分,国务院《医疗卫生强基工程实施方案》(国函〔2025〕85号)提出加快中医药在基层使用推广,加强协同配合和资源统筹,推动中医特色优势专科建设,提升县级及以下医疗卫生机构区域中医药服务能力。已有研究多聚焦于省域或市州中医医疗资源配置与社会经济发展的耦合关系[3-5]或医疗资源配置与服务利用的耦合协调[6-7],较少针对县域层面展开分析。研究表明,贵州省内卫生资源配置存在明显的区域差异,资源配置短板效应突出[8]。本文以贵州省88个县域为研究对象,利用耦合协调模型探究县域中医医疗资源配置与社会经济发展间的耦合协调规律,旨在为促进二者协调发展提供参考。
指标体系的构建依据国家中医药政策导向、学术研究及贵州省中医药发展实际情况。通过分析《中医药发展战略规划纲要(2016—2030年)》《贵州省中医药发展战略规划(2016—2030年)》等相关政策文件,并借鉴袁有树(2025)[9],何刚(2025)[10]等人研究,确保指标体系既体现国家战略要求,又契合区域发展特征,最终构建的评价指标体系。见表1。
本研究数据来源于贵州省各级政府官方网站、统计年鉴及公开统计数据。实地走访贵州省各地中医药行政部门、医疗机构等一线现场收集数据。在数据采集过程中,部分缺失数据采用线性插值法和比例推算法补全。
本研究采用熵值法确定各评价指标的权重,在此基础上运用线性加权法得出各系统的综合评价值,具体计算步骤见文献[11]。
为测度中医医疗资源配置与社会经济发展两个系统的协调水平和发展层次,构建耦合协调模型进行定量分析,计算步骤见文献[12]。
采用相对发展度E=U1/U2衡量两个子系统的相对发展状态[13]。U1为中医医疗资源配置的综合得分,U2为社会经济发展的综合得分。另外,参考王雪洋等(2025)[14]、姜凤等(2025)[15]对耦合协调度和相对发展度等级进行划分。见表2。
采用莫兰指数(Moran I)衡量两系统耦合协调度的空间相关性。全局莫兰指数反映整体空间自相关性,局部莫兰指数反映局部的空间集聚状态。
2021—2023年,中医医疗资源配置与社会经济发展整体综合得分从0.169 8升至0.205 2,增幅约20.85%。中医医疗资源配置综合得分(U1)均值从0.238 6升至0.291 6,社会经济发展综合得分(U2)从0.109 8提高至0.129 6,中医医疗资源配置的提升速度快于社会经济发展水平。各县域具体得分见表3(因篇幅有限,仅列出均值前5、中间段及末5位的县域)。
从整体上看,U1系统得分呈轻微左偏分布(偏度=-0.232 5),其平均值0.262 5低于中位数0.287 2,部分县域的得分较低,拉低了整体平均水平。而U2系统得分呈右偏分布(偏度=3.089 2),其平均值0.118 7明显高于中位数0.077 7,大多数县域的社会经济得分都集中在低分区,少数县域得分较高,大幅拉升了平均值。表明中医医疗资源配置和社会经济发展两系统均存在明显不均衡现象,且社会经济发展水平的区域差异更为突出。
2021—2023年,贵州省县域耦合协调度均值逐年向好,相对发展度整体呈下降趋势,但均值依旧超过1.2,表明社会经济发展总体滞后于中医医疗资源配置。贵州省各县域中医医疗资源配置与社会经济发展耦合协调水平得分见表4(因篇幅有限,仅列出按D值排序前5、中间段及末5位的县域)。
2021—2023年贵州省县域协调性明显改善,严重失调县域数量从8个降至6个,其中麻江县与册亨县已由严重失调改善为轻度失调等级。勉强协调县域数量从2个显著增至11个,凯里市、播州区、红花岗区等地进入此类行列,反映出区域协调发展水平的整体推进。至2023年,南明区成为全省唯一进入初级协调等级的县域,而仁怀市则持续保持中级协调状态,显示出较强的可持续发展韧性。
2021—2023年贵州省县域相对发展度呈现一定程度的改善,资源滞后型县域从21个降至15个,协调发展型县域从6个小幅增至8个,仅有盘州市、汇川区和威宁县三个县域持续保持协调发展态势,而经济滞后型县域数量从61增至65个,但其均值从3.626 3降至3.424 8,反映该类县域内部医疗资源配置与经济发展的失衡程度有所缓解。
2021—2023年贵州省县域中医医疗资源配置各维度与社会经济发展的协调关系见表5。
对两系统耦合协调度的空间分布格局进行分析,结果显示各年度Moran I>0,且通过显著性检验(P<0.1),见表6。耦合协调度空间聚集性有所增强,离散性减弱,见图1。
2021年散点多聚集在第一象限“双高型”,主要包括西秀、黔西、播州、息烽、仁怀等地,位于黔中、黔北地区,而第三象限“双低型”,主要包括雷山、万山、都匀、镇远、施秉等地,位于黔南、黔东南地区。2023年空间分布格局出现一定改变,一三象限出现更多的县域单元,集聚现象更加显著。
国务院印发《中医药发展战略规划纲要(2016—2030年)》,将中医药发展上升为国家战略,为贵州省中医药事业可持续发展奠定坚实基础。总体综合得分的显著提升,反映出省级层面整体水平的积极进展。高分县域多集中于黔中经济区等,以仁怀、盘州等为代表;而低分县域则多分布于黔东南地区,以施秉、丹寨、镇远等为代表,呈现出明显的“中心-外围”模式。整体均值提升大多是由于高分县域的快速增长而拉动,导致“被平均”现象,实际多数县域发展水平仍相对滞后。县域间差距的扩大,呈现一定“极化”趋势,资源和优势可能正进一步向头部县域集聚,制约全省中医药服务能力协同发展。应继续深化政策破解非均衡难题,促进贵州省中医药服务能力的全面提升,助力健康中国建设。
2021—2023年贵州省县域中医医疗资源配置与社会经济发展的耦合协调度,整体从轻度失调过渡到濒临失调阶段。仁怀市、花溪区、播州区等地耦合协调水平明显优于其他地区,而施秉县、晴隆县、镇远县等地长期处于严重失调状态。究其原因:(1)自党的十八大以来,各地中医药服务能力普遍增强。尽管贵州省目前还没良好及以上协调水平县域,但勉强协调至中级协调县域从3个提升至13个。(2)贵州省属于西部欠发达地区,卫生、人才资源相对短缺,“十四五”以来,贵州省促进医疗卫生与扶贫、数据融合发展,加大财政投入使卫生资源配置有所改善,但资源总量不足和区域配置不均问题仍然存在[16]。(3)仁怀市作为贵州白酒产业核心区,其财政实力为中医药事业发展提供有力支撑,因此成为全省唯一的中级协调县域;花溪区、播州区等地依托黔中经济区的区位优势,能较好承接省会贵阳的经济辐射与发展资源;反观严重失调县域,施秉县、镇远县虽拥有一定旅游资源,但产业规模与税收能力有限,晴隆县曾为深度贫困县,财政基础薄弱,均难以对中医药领域进行大规模投入。因此,耦合协调度低的县域政府应发挥主导作用,着重推动医疗资源的调配、流动与优化利用[17]。耦合协调度较高的县域,应继续推动经济高质量发展,转化发展动能,使医疗资源与经济发展形成合力,共同推动贵州中医药事业发展[18]。
本研究结果显示,2021—2023年贵州省中医医疗资源配置与社会经济发展的相对发展度持续表现为“经济滞后型”。在具体资源配置维度中,仅有机构(A1)维度与社会经济发展是“协调发展型”,其余维度均为“资源滞后型”。究其原因:(1)《“十四五”中医药发展规划》提出的“基本实现县办中医医疗机构全覆盖,力争实现全部社区卫生服务中心和乡镇卫生院设置中医馆”等目标,贵州省通过项目建设和财政专项支持,显著提升了中医医疗机构的设点密度与服务可及性。(2)床位(A2)、设备(A3)、人员(A4)和财政投入(A5)等维度均呈现“资源滞后型”,说明硬件设施先行,而支撑其持续运行的软件能力与配套保障相对滞后。这与贵州省经济密切相关,财政自给能力相对较弱,对中央转移支付依赖度高,制约了医疗卫生领域尤其是中医药事业的持续投入。结合相对发展度精准调整协同发展策略:对于协调发展型县域,在保障基本医疗需求的基础上,重点引进和培育高素质中医人才、提升中医药信息化水平等,赋能服务体系向高质量、高效率阶段演进,实现与区域经济的良性互促[19]。资源配置滞后型县域,应拓宽中医医疗资源投入主体,引导优质资源下沉与流动,提升资源配置效率,改善医疗资源配置滞后的局面[20]。经济滞后型县域,应积极探索适宜的经济发展道路,鼓励社会资本参与,推动中医药“产-学-研”一体化发展,并将中医药的特色优势转化为新的经济增长点[21]。
  • 国家社会科学基金项目(21BMZ169)
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2026年第53卷第7期
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doi: 10.20043/j.cnki.MPM.202510059
  • 接收时间:2025-10-05
  • 首发时间:2026-11-02
  • 出版时间:2026-04-10
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  • 收稿日期:2025-10-05
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国家社会科学基金项目(21BMZ169)
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    贵州中医药大学 人文与管理学院,贵州 贵阳 550025

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2种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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