Article(id=1240950908264174567, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240950898113966774, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202309025, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1693584000000, receivedDateStr=2023-09-02, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773795352282, onlineDateStr=2026-03-18, pubDate=1712678400000, pubDateStr=2024-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773795352282, onlineIssueDateStr=2026-03-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773795352282, creator=13701087609, updateTime=1773795352282, updator=13701087609, issue=Issue{id=1240950898113966774, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='7', pageStart='1153', pageEnd='1344', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773795349862, creator=13701087609, updateTime=1773795519367, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240951609136567133, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240950898113966774, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240951609136567134, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240950898113966774, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1206, endPage=1211, ext={EN=ArticleExt(id=1240950908633273344, articleId=1240950908264174567, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Comprehensive evaluation of technical support capacity of occupational disease surveillance and evaluation institutions at county level in Sichuan Province based on entropy weight TOPSIS method, columnId=1228016570660745413, journalTitle=Modern Preventive Medicine, columnName=Environmental and Occupational Health, runingTitle=null, highlight=null, articleAbstract=
Objective To comprehensively evaluate the technical support ability of occupational disease surveillance and evaluation of the county-level Center for Disease Control and Prevention (CDC) in Sichuan Province, in order to optimize the allocation of resources, improve the support ability of occupational disease prevention and control, and provide reference for balanced development.
Methods The technical support ability of occupational disease surveillance and evaluation of county-level CDCs in Sichuan Province was comprehensively evaluated by entropy weight TOPSIS method, followed by classification by RSR method.
Results Among the 179 county-level CDCs in Sichuan Province, 29 county-level CDCs such as Jiangyou, Mianzhu, and Zhongjiang were rated as “good”, and 28 county-level CDCs such as Shiqu, Batang and Daocheng were rated as “poor”.The rest were rated as “medium”. Kruskal-Wallis H test showed that the grading results were statistically significant (H=120.21, P < 0.001).
Conclusion The overall level of technical support ability of occupational disease surveillance and evaluation of county-level CDCs in Sichuan Province is not high, and there are great differences among economic zones and within cities (prefectures). In order to achieve an overall improvement and balanced development of technical support capacity for occupational disease monitoring and assessment in county-level CDCs in Sichuan Province, more policy attention should be given, occupational and radiological health technology services certification should be vigorously promoted, targeted training and professional title promotion should be strengthened for specialized talents, and critical instruments should be gradually equipped.
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目的 综合评价四川省县级疾病预防控制中心(简称疾控中心)职业病监测评估技术支撑能力水平,为优化资源配置,提升职业病防治支撑能力及均衡发展提供参考。
方法 采用熵权TOPSIS法综合评价四川省县级疾控中心职业病监测评估技术支撑能力,并结合RSR法进行分档。
结果 四川省179个县级疾控中心中,职业病监测评估技术支撑能力评为“好”等级的机构有江油、绵竹、中江等29个县级疾控中心,“差”等级的机构有石渠、巴塘、稻城等28个县级疾控中心,其余为“中”等级。经Kruskal-Wallis H检验(H=120.21,P<0.001)显示分档结果具有统计学意义。
结论 四川省县级疾控中心职业病监测评估技术支撑能力整体水平不高,且各经济区之间及各市(州)内部差异较大。应给予更多政策关怀,大力推进职业和放射卫生技术服务等资质认证,强化专业人才定向培养及职称晋升,逐步配齐配全关键仪器,实现四川省县级疾控中心职业病监测评估技术支撑能力整体提升和均衡发展。
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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=6ZLUmvNbT8r5ECl1kwnoyA==, magXml=qUzVTlPbVirD1tnMDVvmMA==, pdfUrl=null, pdf=ZRXDLDMxS5f7UrwC3RgZHQ==, pdfFileSize=635720, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=UFxUJ+y3MC6uGbLSYsfZbw==, mapNumber=null, authorCompany=null, fund=null, authors=
李玉敏(1983—),女,硕士,中级,研究方向:医院管理与卫生政策
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1.川大学华西公共卫生学院/华西第四医院,四川 成都 610041)]), AuthorCompany(id=1240972159930126622, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, xref=2., ext=[AuthorCompanyExt(id=1240972159938515231, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, companyId=1240972159930126622, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
2.四川省疾病预防控制中心,四川 成都 610041)])], figs=[ArticleFig(id=1240972163952464346, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=EN, label=Table 1, caption=
Evaluation indicators for technical support capacity of occupational disease monitoring and evaluation
, figureFileSmall=null, figureFileBig=null, tableContent=
| 维度 | 一级指标 | 二级指标 | 编号 | 指标说明 |
|---|
| 机构资质* | 资质情况 | 获取资质情况 | X1 | 高优指标 |
| 专业人才队伍建设 | 专业人才队伍 | 人员配置 | X2 | 高优指标 |
| | 高级技术职称人员比例 | X3 | 高优指标 |
| | 专业技术人员比例 | X4 | 高优指标 |
| | 本科及以上人员比例 | X5 | 高优指标 |
| 仪器设备配置 | 职业病危害因素检测关键仪器设备 | 化学因素采样与检测设备 | X6 | 高优指标 |
| | 物理因素采样与检测设备 | X7 | 高优指标 |
| | 理化检验设备 | X8 | 高优指标 |
| 核心能力建设 | 工作场所职业病危害因素检测能力 | 化学因素检测能力 | X9 | 高优指标 |
| | 物理因素检测能力 | X10 | 高优指标 |
), ArticleFig(id=1240972164078293478, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=CN, label=表1, caption=
职业病监测评估技术支撑能力评价指标
, figureFileSmall=null, figureFileBig=null, tableContent=
| 维度 | 一级指标 | 二级指标 | 编号 | 指标说明 |
|---|
| 机构资质* | 资质情况 | 获取资质情况 | X1 | 高优指标 |
| 专业人才队伍建设 | 专业人才队伍 | 人员配置 | X2 | 高优指标 |
| | 高级技术职称人员比例 | X3 | 高优指标 |
| | 专业技术人员比例 | X4 | 高优指标 |
| | 本科及以上人员比例 | X5 | 高优指标 |
| 仪器设备配置 | 职业病危害因素检测关键仪器设备 | 化学因素采样与检测设备 | X6 | 高优指标 |
| | 物理因素采样与检测设备 | X7 | 高优指标 |
| | 理化检验设备 | X8 | 高优指标 |
| 核心能力建设 | 工作场所职业病危害因素检测能力 | 化学因素检测能力 | X9 | 高优指标 |
| | 物理因素检测能力 | X10 | 高优指标 |
), ArticleFig(id=1240972164183151085, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=EN, label=Table 2, caption=
Entropy value and entropy weight of evaluation index
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 获取资质情况(X1) | 人员配置 (X2) | 高级技术职称人员比例 (X3) | 专业技术人员比例 (X4) | 本科及以上人员比例 (X5) | 化学因素采样与检测设备(X6) | 物理因素采样与检测设备(X7) | 理化检验设备(X8) | 化学因素检测能力 (X9) | 物理因素检测能力 (X10) |
|---|
| 熵值 | 0.604 7 | 0.908 9 | 0.818 4 | 0.934 1 | 0.927 6 | 0.941 4 | 0.946 5 | 0.949 8 | 0.905 6 | 0.928 6 |
| 熵权 | 0.348 4 | 0.080 3 | 0.160 1 | 0.058 1 | 0.063 8 | 0.051 7 | 0.047 1 | 0.044 3 | 0.083 2 | 0.063 0 |
), ArticleFig(id=1240972164308980217, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=CN, label=表2, caption=
各评价指标的熵值及熵权
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 获取资质情况(X1) | 人员配置 (X2) | 高级技术职称人员比例 (X3) | 专业技术人员比例 (X4) | 本科及以上人员比例 (X5) | 化学因素采样与检测设备(X6) | 物理因素采样与检测设备(X7) | 理化检验设备(X8) | 化学因素检测能力 (X9) | 物理因素检测能力 (X10) |
|---|
| 熵值 | 0.604 7 | 0.908 9 | 0.818 4 | 0.934 1 | 0.927 6 | 0.941 4 | 0.946 5 | 0.949 8 | 0.905 6 | 0.928 6 |
| 熵权 | 0.348 4 | 0.080 3 | 0.160 1 | 0.058 1 | 0.063 8 | 0.051 7 | 0.047 1 | 0.044 3 | 0.083 2 | 0.063 0 |
), ArticleFig(id=1240972164443197957, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=EN, label=Table 3, caption=
Entropy weight TOPSIS method comprehensive evaluation results and ranking
, figureFileSmall=null, figureFileBig=null, tableContent=
| 市(州) | 机构名称 |  |  | Ci | 排序结果 |
|---|
| 成都市 | 成华区疾病预防控制中心 | 0.023 4 | 0.106 2 | 0.819 2 | 4 |
| 天府新区疾病预防控制中心 | 0.124 7 | 0.010 6 | 0.078 6 | 144 |
| 自贡市 | 自流井区疾病预防控制中心 | 0.029 4 | 0.104 6 | 0.780 4 | 5 |
| 沿滩区疾病预防控制中心 | 0.125 2 | 0.013 3 | 0.096 1 | 115 |
| 攀枝花市 | 盐边县疾病预防控制中心 | 0.122 6 | 0.017 5 | 0.125 0 | 80 |
| 东区疾病预防控制中心 | 0.125 6 | 0.009 4 | 0.069 5 | 157 |
| 泸州市 | 泸县疾病预防控制中心 | 0.104 7 | 0.029 1 | 0.217 6 | 25 |
| 龙马潭区疾病预防控制中心 | 0.123 6 | 0.015 5 | 0.111 3 | 97 |
| 德阳市 | 绵竹市疾病预防控制中心 | 0.023 3 | 0.121 4 | 0.839 0 | 2 |
| 罗江区疾病预防控制中心 | 0.125 4 | 0.012 7 | 0.092 2 | 118 |
| 绵阳市 | 江油市疾病预防控制中心 | 0.016 2 | 0.122 9 | 0.883 8 | 1 |
| 梓潼县疾病预防控制中心 | 0.125 9 | 0.011 5 | 0.083 6 | 136 |
| 广元市 | 旺苍县疾病预防控制中心 | 0.103 6 | 0.038 0 | 0.268 1 | 21 |
| 青川县疾病预防控制中心 | 0.126 1 | 0.008 2 | 0.061 3 | 165 |
| 遂宁市 | 射洪市疾病预防控制中心 | 0.123 1 | 0.019 8 | 0.138 6 | 67 |
| 安居区疾病预防控制中心 | 0.125 7 | 0.012 6 | 0.091 4 | 120 |
| 内江市 | 隆昌市疾病预防控制中心 | 0.072 5 | 0.054 9 | 0.431 1 | 15 |
| 资中县疾病预防控制中心 | 0.125 1 | 0.015 4 | 0.109 6 | 101 |
| 乐山市 | 夹江县疾病预防控制中心 | 0.120 7 | 0.030 8 | 0.203 1 | 29 |
| 峨边县疾病预防控制中心 | 0.126 5 | 0.006 4 | 0.047 9 | 169 |
| 南充市 | 南部县疾病预防控制中心 | 0.120 8 | 0.028 4 | 0.190 4 | 36 |
| 蓬安县疾病预防控制中心 | 0.125 5 | 0.015 9 | 0.112 3 | 96 |
| 眉山市 | 丹棱县疾病预防控制中心 | 0.121 1 | 0.026 0 | 0.176 5 | 42 |
| 东坡区疾病预防控制中心 | 0.125 6 | 0.010 8 | 0.079 3 | 142 |
| 宜宾市 | 筠连县疾病预防控制中心 | 0.122 5 | 0.017 5 | 0.125 1 | 79 |
| 长宁县疾病预防控制中心 | 0.126 0 | 0.008 9 | 0.066 2 | 161 |
| 广安市 | 华蓥市疾病预防控制中心 | 0.121 2 | 0.025 6 | 0.174 4 | 44 |
| 武胜县疾病预防控制中心 | 0.125 8 | 0.010 6 | 0.077 9 | 147 |
| 达州市 | 达川区疾病预防控制中心 | 0.054 3 | 0.073 1 | 0.573 6 | 7 |
| 通川区疾病预防控制中心 | 0.121 8 | 0.021 0 | 0.146 9 | 59 |
| 雅安市 | 汉源县疾病预防控制中心 | 0.106 3 | 0.023 7 | 0.182 1 | 39 |
| 宝兴县疾病预防控制中心 | 0.125 7 | 0.010 0 | 0.073 6 | 151 |
| 巴中市 | 通江县疾病预防控制中心 | 0.105 1 | 0.026 4 | 0.200 9 | 32 |
| 南江县疾病预防控制中心 | 0.126 2 | 0.008 3 | 0.061 5 | 164 |
| 资阳市 | 雁江区疾病预防控制中心 | 0.121 1 | 0.025 1 | 0.171 7 | 46 |
| 乐至县疾病预防控制中心 | 0.123 1 | 0.016 2 | 0.116 3 | 91 |
| 阿坝州 | 小金县疾病预防控制中心 | 0.122 1 | 0.019 9 | 0.139 9 | 64 |
| 阿坝县疾病预防控制中心 | 0.126 2 | 0.007 0 | 0.052 8 | 167 |
| 甘孜州 | 雅江县疾病预防控制中心 | 0.122 0 | 0.023 9 | 0.163 7 | 50 |
| 石渠县疾病预防控制中心 | 0.126 8 | 0.003 6 | 0.027 8 | 179 |
| 凉山州 | 西昌市疾病预防控制中心 | 0.058 8 | 0.070 5 | 0.545 3 | 9 |
| 布拖县疾病预防控制中心 | 0.126 3 | 0.006 4 | 0.048 5 | 168 |
), ArticleFig(id=1240972164560638479, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=CN, label=表3, caption=
熵权TOPSIS法综合评价结果及排序
, figureFileSmall=null, figureFileBig=null, tableContent=
| 市(州) | 机构名称 |  |  | Ci | 排序结果 |
|---|
| 成都市 | 成华区疾病预防控制中心 | 0.023 4 | 0.106 2 | 0.819 2 | 4 |
| 天府新区疾病预防控制中心 | 0.124 7 | 0.010 6 | 0.078 6 | 144 |
| 自贡市 | 自流井区疾病预防控制中心 | 0.029 4 | 0.104 6 | 0.780 4 | 5 |
| 沿滩区疾病预防控制中心 | 0.125 2 | 0.013 3 | 0.096 1 | 115 |
| 攀枝花市 | 盐边县疾病预防控制中心 | 0.122 6 | 0.017 5 | 0.125 0 | 80 |
| 东区疾病预防控制中心 | 0.125 6 | 0.009 4 | 0.069 5 | 157 |
| 泸州市 | 泸县疾病预防控制中心 | 0.104 7 | 0.029 1 | 0.217 6 | 25 |
| 龙马潭区疾病预防控制中心 | 0.123 6 | 0.015 5 | 0.111 3 | 97 |
| 德阳市 | 绵竹市疾病预防控制中心 | 0.023 3 | 0.121 4 | 0.839 0 | 2 |
| 罗江区疾病预防控制中心 | 0.125 4 | 0.012 7 | 0.092 2 | 118 |
| 绵阳市 | 江油市疾病预防控制中心 | 0.016 2 | 0.122 9 | 0.883 8 | 1 |
| 梓潼县疾病预防控制中心 | 0.125 9 | 0.011 5 | 0.083 6 | 136 |
| 广元市 | 旺苍县疾病预防控制中心 | 0.103 6 | 0.038 0 | 0.268 1 | 21 |
| 青川县疾病预防控制中心 | 0.126 1 | 0.008 2 | 0.061 3 | 165 |
| 遂宁市 | 射洪市疾病预防控制中心 | 0.123 1 | 0.019 8 | 0.138 6 | 67 |
| 安居区疾病预防控制中心 | 0.125 7 | 0.012 6 | 0.091 4 | 120 |
| 内江市 | 隆昌市疾病预防控制中心 | 0.072 5 | 0.054 9 | 0.431 1 | 15 |
| 资中县疾病预防控制中心 | 0.125 1 | 0.015 4 | 0.109 6 | 101 |
| 乐山市 | 夹江县疾病预防控制中心 | 0.120 7 | 0.030 8 | 0.203 1 | 29 |
| 峨边县疾病预防控制中心 | 0.126 5 | 0.006 4 | 0.047 9 | 169 |
| 南充市 | 南部县疾病预防控制中心 | 0.120 8 | 0.028 4 | 0.190 4 | 36 |
| 蓬安县疾病预防控制中心 | 0.125 5 | 0.015 9 | 0.112 3 | 96 |
| 眉山市 | 丹棱县疾病预防控制中心 | 0.121 1 | 0.026 0 | 0.176 5 | 42 |
| 东坡区疾病预防控制中心 | 0.125 6 | 0.010 8 | 0.079 3 | 142 |
| 宜宾市 | 筠连县疾病预防控制中心 | 0.122 5 | 0.017 5 | 0.125 1 | 79 |
| 长宁县疾病预防控制中心 | 0.126 0 | 0.008 9 | 0.066 2 | 161 |
| 广安市 | 华蓥市疾病预防控制中心 | 0.121 2 | 0.025 6 | 0.174 4 | 44 |
| 武胜县疾病预防控制中心 | 0.125 8 | 0.010 6 | 0.077 9 | 147 |
| 达州市 | 达川区疾病预防控制中心 | 0.054 3 | 0.073 1 | 0.573 6 | 7 |
| 通川区疾病预防控制中心 | 0.121 8 | 0.021 0 | 0.146 9 | 59 |
| 雅安市 | 汉源县疾病预防控制中心 | 0.106 3 | 0.023 7 | 0.182 1 | 39 |
| 宝兴县疾病预防控制中心 | 0.125 7 | 0.010 0 | 0.073 6 | 151 |
| 巴中市 | 通江县疾病预防控制中心 | 0.105 1 | 0.026 4 | 0.200 9 | 32 |
| 南江县疾病预防控制中心 | 0.126 2 | 0.008 3 | 0.061 5 | 164 |
| 资阳市 | 雁江区疾病预防控制中心 | 0.121 1 | 0.025 1 | 0.171 7 | 46 |
| 乐至县疾病预防控制中心 | 0.123 1 | 0.016 2 | 0.116 3 | 91 |
| 阿坝州 | 小金县疾病预防控制中心 | 0.122 1 | 0.019 9 | 0.139 9 | 64 |
| 阿坝县疾病预防控制中心 | 0.126 2 | 0.007 0 | 0.052 8 | 167 |
| 甘孜州 | 雅江县疾病预防控制中心 | 0.122 0 | 0.023 9 | 0.163 7 | 50 |
| 石渠县疾病预防控制中心 | 0.126 8 | 0.003 6 | 0.027 8 | 179 |
| 凉山州 | 西昌市疾病预防控制中心 | 0.058 8 | 0.070 5 | 0.545 3 | 9 |
| 布拖县疾病预防控制中心 | 0.126 3 | 0.006 4 | 0.048 5 | 168 |
), ArticleFig(id=1240972164661301784, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=EN, label=Table 4, caption=
RSR distribution results of Ci value of comprehensive evaluation index
, figureFileSmall=null, figureFileBig=null, tableContent=
| 机构 | Ci |  | P值 | Probit |
|---|
| 石渠县疾病预防控制中心 | 0.027 8 | 1 | 0.558 7 | 2.46 |
| 巴塘县疾病预防控制中心 | 0.030 8 | 2 | 1.117 3 | 2.72 |
| 稻城县疾病预防控制中心 | 0.031 6 | 3 | 1.676 0 | 2.87 |
| 新龙县疾病预防控制中心 | 0.042 8 | 4.5 | 2.514 0 | 3.04 |
| 白玉县疾病预防控制中心 | 0.042 8 | 4.5 | 2.514 0 | 3.04 |
| 泸定县疾病预防控制中心 | 0.043 1 | 6 | 3.352 0 | 3.17 |
| 得荣县疾病预防控制中心 | 0.043 3 | 7 | 3.910 6 | 3.24 |
| 色达县疾病预防控制中心 | 0.044 5 | 8 | 4.469 3 | 3.30 |
| 康定市疾病预防控制中心 | 0.045 6 | 9 | 5.027 9 | 3.36 |
| 德格县疾病预防控制中心 | 0.045 7 | 10 | 5.586 6 | 3.41 |
| …… | …… | …… | …… | …… |
| 新都区疾病预防控制中心 | 0.475 5 | 170 | 94.972 1 | 6.64 |
| 西昌市疾病预防控制中心 | 0.545 3 | 171 | 95.530 7 | 6.70 |
| 什邡市疾病预防控制中心 | 0.572 5 | 172 | 96.089 4 | 6.76 |
| 达川区疾病预防控制中心 | 0.573 6 | 173 | 96.648 0 | 6.83 |
| 郫都区疾病预防控制中心 | 0.778 7 | 174 | 97.206 7 | 6.91 |
| 自流井区疾病预防控制中心 | 0.780 4 | 175 | 97.765 4 | 7.01 |
| 成华区疾病预防控制中心 | 0.819 2 | 176 | 98.324 0 | 7.13 |
| 中江县疾病预防控制中心 | 0.826 1 | 177 | 98.882 7 | 7.28 |
| 绵竹市疾病预防控制中心 | 0.839 0 | 178 | 99.441 3 | 7.54 |
| 江油市疾病预防控制中心 | 0.883 8 | 179 | 99.860 0* | 7.99 |
), ArticleFig(id=1240972164753576483, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=CN, label=表4, caption=
综合评价指标Ci值的RSR分布结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 机构 | Ci |  | P值 | Probit |
|---|
| 石渠县疾病预防控制中心 | 0.027 8 | 1 | 0.558 7 | 2.46 |
| 巴塘县疾病预防控制中心 | 0.030 8 | 2 | 1.117 3 | 2.72 |
| 稻城县疾病预防控制中心 | 0.031 6 | 3 | 1.676 0 | 2.87 |
| 新龙县疾病预防控制中心 | 0.042 8 | 4.5 | 2.514 0 | 3.04 |
| 白玉县疾病预防控制中心 | 0.042 8 | 4.5 | 2.514 0 | 3.04 |
| 泸定县疾病预防控制中心 | 0.043 1 | 6 | 3.352 0 | 3.17 |
| 得荣县疾病预防控制中心 | 0.043 3 | 7 | 3.910 6 | 3.24 |
| 色达县疾病预防控制中心 | 0.044 5 | 8 | 4.469 3 | 3.30 |
| 康定市疾病预防控制中心 | 0.045 6 | 9 | 5.027 9 | 3.36 |
| 德格县疾病预防控制中心 | 0.045 7 | 10 | 5.586 6 | 3.41 |
| …… | …… | …… | …… | …… |
| 新都区疾病预防控制中心 | 0.475 5 | 170 | 94.972 1 | 6.64 |
| 西昌市疾病预防控制中心 | 0.545 3 | 171 | 95.530 7 | 6.70 |
| 什邡市疾病预防控制中心 | 0.572 5 | 172 | 96.089 4 | 6.76 |
| 达川区疾病预防控制中心 | 0.573 6 | 173 | 96.648 0 | 6.83 |
| 郫都区疾病预防控制中心 | 0.778 7 | 174 | 97.206 7 | 6.91 |
| 自流井区疾病预防控制中心 | 0.780 4 | 175 | 97.765 4 | 7.01 |
| 成华区疾病预防控制中心 | 0.819 2 | 176 | 98.324 0 | 7.13 |
| 中江县疾病预防控制中心 | 0.826 1 | 177 | 98.882 7 | 7.28 |
| 绵竹市疾病预防控制中心 | 0.839 0 | 178 | 99.441 3 | 7.54 |
| 江油市疾病预防控制中心 | 0.883 8 | 179 | 99.860 0* | 7.99 |
), ArticleFig(id=1240972164850045485, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=EN, label=Table 5, caption=
Technical support capacity classification results of occupational disease monitoring and evaluation in 179 county-level CDCs in Sichuan Province
, figureFileSmall=null, figureFileBig=null, tableContent=
| 等级 | Probit | 分档结果 |
|---|
| 差 | <4 | 石渠县,巴塘县,稻城县,新龙县,白玉县,泸定县,得荣县,色达县,康定市,德格县,峨边县,布拖县,阿坝县,普格县,青川县,南江县,九寨沟县,金口河区,长宁县,若尔盖县,马尔康市,红原县,东区,会理市,理县,屏山县,金阳县,盐源县等28个县级疾控中心 |
| 中 | 4~6 | 都江堰市,荣县,通江县,双流区,游仙区,五通桥区,南部县,古蔺县,安州区,汉源县,苍溪县,顺庆区,丹棱县,叙永县,华蓥市,岳池县,雁江区,青神县,木里县,富顺县,雅江县,内江市市中区,阆中市,青羊区,安岳县,营山县,道孚县,西充县,平昌县,通川区等122个县级疾控中心 |
| 好 | >6 | 江油市,绵竹市,中江县,成华区,自流井区,郫都区,达川区,什邡市,西昌市,新都区,旌阳区,龙泉驿区,东兴区,彭州市,隆昌市,武侯区,金堂县,广汉市,威远县,三台县,旺苍县,金牛区,宣汉县,开江县,泸县,大竹县,渠县,万源市,夹江县等29个县级疾控中心 |
), ArticleFig(id=1240972166431298104, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240950908264174567, language=CN, label=表5, caption=
四川省179个县级疾控中心职业病监测评估技术支撑能力分档情况
, figureFileSmall=null, figureFileBig=null, tableContent=
| 等级 | Probit | 分档结果 |
|---|
| 差 | <4 | 石渠县,巴塘县,稻城县,新龙县,白玉县,泸定县,得荣县,色达县,康定市,德格县,峨边县,布拖县,阿坝县,普格县,青川县,南江县,九寨沟县,金口河区,长宁县,若尔盖县,马尔康市,红原县,东区,会理市,理县,屏山县,金阳县,盐源县等28个县级疾控中心 |
| 中 | 4~6 | 都江堰市,荣县,通江县,双流区,游仙区,五通桥区,南部县,古蔺县,安州区,汉源县,苍溪县,顺庆区,丹棱县,叙永县,华蓥市,岳池县,雁江区,青神县,木里县,富顺县,雅江县,内江市市中区,阆中市,青羊区,安岳县,营山县,道孚县,西充县,平昌县,通川区等122个县级疾控中心 |
| 好 | >6 | 江油市,绵竹市,中江县,成华区,自流井区,郫都区,达川区,什邡市,西昌市,新都区,旌阳区,龙泉驿区,东兴区,彭州市,隆昌市,武侯区,金堂县,广汉市,威远县,三台县,旺苍县,金牛区,宣汉县,开江县,泸县,大竹县,渠县,万源市,夹江县等29个县级疾控中心 |
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