摘要
目的分析我国职业病诊断标准的规范性引用文件, 探索我国职业病诊断标准之间的关联特征, 为职业病诊断标准体系的完善提供依据。方法于2021年1至3月, 检索职业病诊断标准的文本及规范性引用文件, 使用Excel 2013建立数据库, SPSS 22.0软件和Ucinet 6.0软件进行数据分析。采用频次分析法, 对规范性引用文件的分布情况进行统计;采用社会网络分析法, 对职业病诊断标准的网络密度和中心性进行统计, 并绘制职业病诊断标准关联关系网络拓扑图。结果 115项职业病诊断标准中, 105项标准引用了146项规范性引用文件, 共计431次。其中, 被引频次较多的规范性引用文件分别为GB/T 16180(91次)、GBZ 76(37次)和GBZ 73(23次), GBZ 188、GBZ/T 238中的规范性引用文件数量较多, 分别为87、13项。社会网络分析结果显示, 整体网络密度为0.028 1;相对点中心度为3.089, 排名前3的标准分别为GB/T 16180(55.152)、GBZ 188(53.333)、GBZ 76(23.636);接近中心度为7.773, 排名前3的标准分别为GB/T 16180(8.735)、GBZ 188(8.730)、GBZ 76(8.333);中间中心度为0.824, 排名前3的标准分别为GBZ 188(38.836)、GB/T 16180(38.301)、GBZ/T 238(10.407);GB/T 16180、GBZ 188、GBZ 76、GBZ 73、GBZ 59位于职业病诊断标准关联关系网络拓扑图的核心。结论我国职业病诊断标准的网络密度较低, 关联不紧密;GB/T 16180、GBZ 188、GBZ 76是关键节点标准, 应作为下一步标准实施追踪的重点。
Objective To analyze the normative references in occupational disease diagnostic criteria and explore the relevant characteristics of occupational disease diagnostic criteria in China,aiming to provide the basis for improving the system of occupational disease diagnostic criteria.Methods From January to March 2021,the text and normative references of occupational disease diagnostic criteria were retrieved,and the database was established with Excel 2013,and the data were analyzed with SPSS 22.0 software and Ucinet 6.0 software.The distributions of normative references were statistically analyzed by frequency analysis.The network density and centrality of occupational disease diagnostic criteria were analyzed by social network analysis.The network topology of relevant relationship network of occupational disease diagnostic criteria was drawn.Results Among 115 occupational disease diagnostic criteria,105 criteria cited 146 normative references,a total of 431 times.The normative documents cited more frequently were GB/T 16180(91 times),GBZ 76(37 times)and GBZ 73(23 times).The number of normative references in GBZ 188 and GBZ/T 238 was large,87 and 13 respectively.The results of social network analysis showed that the network density was 0.0281.The relative degree centrality was 3.089,and the top three criteria were GB/T 16180(55.152),GBZ 188(53.333)and GBZ 76(23.636).The closeness centrality was 7.773 and the top three criteria were GB/T 16180(8.735),GBZ 188(8.730)and GBZ 76(8.333).The betweenness centrality was 0.824 and the top three criteria were GBZ 188(38.836),GB/T 16180(38.301)and GBZ/T 238(10.407).And GB/T 16180,GBZ 188,GBZ 76,GBZ 73 and GBZ 59 were at the core of the network topology of relationship network of occupational disease diagnostic criteria.Conclusion The network density of occupational disease diagnostic criteria in China is low,and the relevant relationship is not close.GB/T 16180,GBZ 188,and GBZ 76 are node standards and should be the focus of the next standard implementation tracking.
作者
鲁洋
刘拓
朱秋鸿
Lu Yang;Liu Tuo;Zhu Qiuhong(National Institute for Occupational Health and Poison Control,Chinese Center for Disease Control and Prevention,Beijing 100050,China)
出处
《中华劳动卫生职业病杂志》
CAS
CSCD
北大核心
2022年第6期401-405,共5页
Chinese Journal of Industrial Hygiene and Occupational Diseases
基金
职业健康风险评估与国家职业卫生标准制定项目(131031109000160004)。
关键词
职业病
诊断标准
规范性引用文件
社会网络分析
关联特征
Occupational diseases
Diagnostic criteria
Normative references
Social network analysis
Relevant Characteristics
