Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China
ObjectiveTo explore the difference of cumulative incidence rate of coal workers’ pneumoconiosis (CWP) among four large state-owned coal enterprises in northern China, we created an index system for evaluating the quality of comprehensive measures against CWP and applied the system to evaluate and co...
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| Veröffentlicht in: | Occupational and environmental medicine (London, England) England), 2018-09, Vol.75 (9), p.654-660 |
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| creator | Cui, Kai Shen, Fuhai Han, Bing Liu, Hongbo Chen, Jie |
| description | ObjectiveTo explore the difference of cumulative incidence rate of coal workers’ pneumoconiosis (CWP) among four large state-owned coal enterprises in northern China, we created an index system for evaluating the quality of comprehensive measures against CWP and applied the system to evaluate and compare the measures of the four coal enterprises.MethodsA two-round Delphi investigation was conducted to identify the indicators in the index system. The weight values of the indicators were calculated with analytic hierarchy process methods. Measures of CWP, mine annals, records and other information in each coal mine of the four enterprises were collected. The evaluation scores, which ranged from 0 to 100, were calculated and compared with.ResultsA three-grade index system with 3 first-grade indicators, 9 second-grade indicators and 44 tertiary-grade indicators was established. The expert authority coefficient (Cr ) was 0.75 and the Kendall’s coefficient of concordance (Kendall’s W) was 0.15 (χ2=193.30, P |
| doi_str_mv | 10.1136/oemed-2017-104909 |
| format | Article |
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The weight values of the indicators were calculated with analytic hierarchy process methods. Measures of CWP, mine annals, records and other information in each coal mine of the four enterprises were collected. The evaluation scores, which ranged from 0 to 100, were calculated and compared with.ResultsA three-grade index system with 3 first-grade indicators, 9 second-grade indicators and 44 tertiary-grade indicators was established. The expert authority coefficient (Cr ) was 0.75 and the Kendall’s coefficient of concordance (Kendall’s W) was 0.15 (χ2=193.30, P<0.001). The weight value of ‘Geological conditions’ was 0.43, equal to ‘Dust control engineering technology’, and that of ‘Occupational health management’ was 0.14. The medians and quartiles of the evaluation scores of comprehensive measures against CWP of the four enterprises were 58.38 (54.60~63.02), 64.63 (60.83~67.06), 72.99 (68.92~77.67) and 75.07 (70.73~79.20), respectively.ConclusionsThe index system could be effectively used for evaluation and comparison of the comprehensive measures against CWP among different enterprises. The geological conditions and dust control engineering technology played an important role in preventing and controlling CWP.</description><identifier>ISSN: 1351-0711</identifier><identifier>EISSN: 1470-7926</identifier><identifier>DOI: 10.1136/oemed-2017-104909</identifier><identifier>PMID: 29563194</identifier><language>eng</language><publisher>England: BMJ</publisher><subject>Analytic hierarchy process ; Annual reports ; Anthracosis - epidemiology ; Anthracosis - prevention & control ; China - epidemiology ; Coal ; Coal mines ; Coal mining ; Coal Mining - standards ; Delphi Technique ; Disease prevention ; Dust ; Dust control ; Engineering ; Experts ; Family planning ; Geology ; Humans ; Identification methods ; Incidence ; Indicators ; Mathematical analysis ; Measurement methods ; Methods ; Mines ; Occupational diseases ; Occupational Diseases - epidemiology ; Occupational Diseases - prevention & control ; Occupational hazards ; Occupational health ; Occupational Health - standards ; ORIGINAL ARTICLE ; Pneumoconiosis ; Quality ; Quartiles ; Weight ; Workers</subject><ispartof>Occupational and environmental medicine (London, England), 2018-09, Vol.75 (9), p.654-660</ispartof><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018</rights><rights>2018 Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b454t-5d67658f09db4f2734b3330525dc4ec35fdf805a5cc54c681f40b76718b9bad83</citedby><cites>FETCH-LOGICAL-b454t-5d67658f09db4f2734b3330525dc4ec35fdf805a5cc54c681f40b76718b9bad83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26894537$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26894537$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,781,785,804,27929,27930,58022,58255</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29563194$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cui, Kai</creatorcontrib><creatorcontrib>Shen, Fuhai</creatorcontrib><creatorcontrib>Han, Bing</creatorcontrib><creatorcontrib>Liu, Hongbo</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><title>Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China</title><title>Occupational and environmental medicine (London, England)</title><addtitle>Occup Environ Med</addtitle><description>ObjectiveTo explore the difference of cumulative incidence rate of coal workers’ pneumoconiosis (CWP) among four large state-owned coal enterprises in northern China, we created an index system for evaluating the quality of comprehensive measures against CWP and applied the system to evaluate and compare the measures of the four coal enterprises.MethodsA two-round Delphi investigation was conducted to identify the indicators in the index system. The weight values of the indicators were calculated with analytic hierarchy process methods. Measures of CWP, mine annals, records and other information in each coal mine of the four enterprises were collected. The evaluation scores, which ranged from 0 to 100, were calculated and compared with.ResultsA three-grade index system with 3 first-grade indicators, 9 second-grade indicators and 44 tertiary-grade indicators was established. The expert authority coefficient (Cr ) was 0.75 and the Kendall’s coefficient of concordance (Kendall’s W) was 0.15 (χ2=193.30, P<0.001). The weight value of ‘Geological conditions’ was 0.43, equal to ‘Dust control engineering technology’, and that of ‘Occupational health management’ was 0.14. The medians and quartiles of the evaluation scores of comprehensive measures against CWP of the four enterprises were 58.38 (54.60~63.02), 64.63 (60.83~67.06), 72.99 (68.92~77.67) and 75.07 (70.73~79.20), respectively.ConclusionsThe index system could be effectively used for evaluation and comparison of the comprehensive measures against CWP among different enterprises. The geological conditions and dust control engineering technology played an important role in preventing and controlling CWP.</description><subject>Analytic hierarchy process</subject><subject>Annual reports</subject><subject>Anthracosis - epidemiology</subject><subject>Anthracosis - prevention & control</subject><subject>China - epidemiology</subject><subject>Coal</subject><subject>Coal mines</subject><subject>Coal mining</subject><subject>Coal Mining - standards</subject><subject>Delphi Technique</subject><subject>Disease prevention</subject><subject>Dust</subject><subject>Dust control</subject><subject>Engineering</subject><subject>Experts</subject><subject>Family planning</subject><subject>Geology</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Incidence</subject><subject>Indicators</subject><subject>Mathematical analysis</subject><subject>Measurement methods</subject><subject>Methods</subject><subject>Mines</subject><subject>Occupational diseases</subject><subject>Occupational Diseases - epidemiology</subject><subject>Occupational Diseases - prevention & control</subject><subject>Occupational hazards</subject><subject>Occupational health</subject><subject>Occupational Health - standards</subject><subject>ORIGINAL ARTICLE</subject><subject>Pneumoconiosis</subject><subject>Quality</subject><subject>Quartiles</subject><subject>Weight</subject><subject>Workers</subject><issn>1351-0711</issn><issn>1470-7926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkc1u1TAQhSMEoqXwACxAltiwIGDHdpx0h27Lj1SJDawjx57o-pLEweNQsutr8DI8DE-C09wKiRUr_8w358zoZNlTRl8zxss3HgaweUGZyhkVNa3vZadMKJqruijvpzuXLKeKsZPsEeKBUsYVLx5mJ0UtS85qcZr9usSo297hfoAxEj1aoqepd0ZH50fiu_RF3GjhB8EFIwyk84FMAb4n_EgYr3ty7cNXCPj75ieZRpgHb_zoPDo8J5pcQD_t3aY-6n6JzpC9g6CD2S9JzRtAJBhnuySzZDGH9NIRcn89gt0ckiGEKTgEXF13ezfqx9mDTvcIT47nWfbl3eXn3Yf86tP7j7u3V3krpIi5tKUqZdXR2raiKxQXLeecykJaI8Bw2dmuolJLY6QwZcU6QVtVKla1dattxc-yl5tumvXbDBibwaGBvtcj-BmbNQMquVJFQl_8gx7SOmnrlappQQsuaaLYRpngEQN0Tdps0GFpGG3WcJvbcG-Fmy3c1PP8qDy3a-2u4y7NBDzbgANGH_7Wy6oWabhUf7XV2-HwH35_AJ2YvQY</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Cui, Kai</creator><creator>Shen, Fuhai</creator><creator>Han, Bing</creator><creator>Liu, Hongbo</creator><creator>Chen, Jie</creator><general>BMJ</general><general>BMJ Publishing Group LTD</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope></search><sort><creationdate>20180901</creationdate><title>Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China</title><author>Cui, Kai ; Shen, Fuhai ; Han, Bing ; Liu, Hongbo ; Chen, Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b454t-5d67658f09db4f2734b3330525dc4ec35fdf805a5cc54c681f40b76718b9bad83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Analytic hierarchy process</topic><topic>Annual reports</topic><topic>Anthracosis - epidemiology</topic><topic>Anthracosis - prevention & control</topic><topic>China - epidemiology</topic><topic>Coal</topic><topic>Coal mines</topic><topic>Coal mining</topic><topic>Coal Mining - standards</topic><topic>Delphi Technique</topic><topic>Disease prevention</topic><topic>Dust</topic><topic>Dust control</topic><topic>Engineering</topic><topic>Experts</topic><topic>Family planning</topic><topic>Geology</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Incidence</topic><topic>Indicators</topic><topic>Mathematical analysis</topic><topic>Measurement methods</topic><topic>Methods</topic><topic>Mines</topic><topic>Occupational diseases</topic><topic>Occupational Diseases - epidemiology</topic><topic>Occupational Diseases - prevention & control</topic><topic>Occupational hazards</topic><topic>Occupational health</topic><topic>Occupational Health - standards</topic><topic>ORIGINAL ARTICLE</topic><topic>Pneumoconiosis</topic><topic>Quality</topic><topic>Quartiles</topic><topic>Weight</topic><topic>Workers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cui, Kai</creatorcontrib><creatorcontrib>Shen, Fuhai</creatorcontrib><creatorcontrib>Han, Bing</creatorcontrib><creatorcontrib>Liu, Hongbo</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection (ProQuest)</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><jtitle>Occupational and environmental medicine (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cui, Kai</au><au>Shen, Fuhai</au><au>Han, Bing</au><au>Liu, Hongbo</au><au>Chen, Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China</atitle><jtitle>Occupational and environmental medicine (London, England)</jtitle><addtitle>Occup Environ Med</addtitle><date>2018-09-01</date><risdate>2018</risdate><volume>75</volume><issue>9</issue><spage>654</spage><epage>660</epage><pages>654-660</pages><issn>1351-0711</issn><eissn>1470-7926</eissn><abstract>ObjectiveTo explore the difference of cumulative incidence rate of coal workers’ pneumoconiosis (CWP) among four large state-owned coal enterprises in northern China, we created an index system for evaluating the quality of comprehensive measures against CWP and applied the system to evaluate and compare the measures of the four coal enterprises.MethodsA two-round Delphi investigation was conducted to identify the indicators in the index system. The weight values of the indicators were calculated with analytic hierarchy process methods. Measures of CWP, mine annals, records and other information in each coal mine of the four enterprises were collected. The evaluation scores, which ranged from 0 to 100, were calculated and compared with.ResultsA three-grade index system with 3 first-grade indicators, 9 second-grade indicators and 44 tertiary-grade indicators was established. The expert authority coefficient (Cr ) was 0.75 and the Kendall’s coefficient of concordance (Kendall’s W) was 0.15 (χ2=193.30, P<0.001). The weight value of ‘Geological conditions’ was 0.43, equal to ‘Dust control engineering technology’, and that of ‘Occupational health management’ was 0.14. The medians and quartiles of the evaluation scores of comprehensive measures against CWP of the four enterprises were 58.38 (54.60~63.02), 64.63 (60.83~67.06), 72.99 (68.92~77.67) and 75.07 (70.73~79.20), respectively.ConclusionsThe index system could be effectively used for evaluation and comparison of the comprehensive measures against CWP among different enterprises. The geological conditions and dust control engineering technology played an important role in preventing and controlling CWP.</abstract><cop>England</cop><pub>BMJ</pub><pmid>29563194</pmid><doi>10.1136/oemed-2017-104909</doi><tpages>7</tpages></addata></record> |
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| subjects | Analytic hierarchy process Annual reports Anthracosis - epidemiology Anthracosis - prevention & control China - epidemiology Coal Coal mines Coal mining Coal Mining - standards Delphi Technique Disease prevention Dust Dust control Engineering Experts Family planning Geology Humans Identification methods Incidence Indicators Mathematical analysis Measurement methods Methods Mines Occupational diseases Occupational Diseases - epidemiology Occupational Diseases - prevention & control Occupational hazards Occupational health Occupational Health - standards ORIGINAL ARTICLE Pneumoconiosis Quality Quartiles Weight Workers |
| title | Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China |
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