[논문]국가노출감시체계 구축을 위한 작업환경측정과 특수건강진단 자료의 노출 정보 입력 실태 평가

최상준; 고동희; 박주현; 박동욱; 김환철; 임대성; 성예지; 고경윤; 임지선; 서회경

doi:10.15269/jksoeh.2022.32.3.231

국가노출감시체계 구축을 위한 작업환경측정과 특수건강진단 자료의 노출 정보 입력 실태 평가
Evaluation of the Input Status of Exposure-related Information of Working Environment Monitoring Database and Special Health Examination Database for the Construction of a National Exposure Surveillance System 원문보기

한국산업보건학회지 = Journal of Korean Society of Occupational and Environmental Hygiene, v.32 no.3, 2022년, pp.231 - 241

최상준 (가톨릭대학교 보건의료경영대학원) , 고동희 (가톨릭관동대학교 국제성모병원) , 박주현 (동국대학교 통계학과) , 박동욱 (한국방송통신대학교) , 김환철 (인하대학교) , 임대성 (한성보건안전기술원(주)) , 성예지 (가톨릭대학교 보건의료경영대학원) , 고경윤 (가톨릭대학교 보건의료경영대학원) , 임지선 (동국대학교 통계학과) , 서회경 (한국산업안전보건공단 산업안전보건연구원)

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Objectives: The purpose of this study is to evaluate the input status of exposure-related information in the working environment monitoring database (WEMD) and special health examination database (SHED) for the construction of a national exposure surveillance system. Methods: The industrial and process code input status of WEMD and SHED for 21 carcinogens from 2014 to 2016 was compared. Data from workers who performed both work environment monitoring and special health examinations in 2019 and 2020 were extracted and the actual status of input of industrial and process codes was analyzed. We also investigated the cause of input errors through a focus group interview with 12 data input specialists. Results: As a result of analyzing WMED and SHED for 21 carcinogens, the five-digit industrial code matching rate was low at 53.5% and the process code matching rate was 19% or less. Among the data that simultaneously conducted work environment monitoring and special health examination in 2019 and 2020, the process code matching rate was very low at 18.1% and 5.2%, respectively. The main causes of exposure-related data input errors were the difference between the WEMD and SHED process code input systems from 2020, the number of standard process and job codes being too large, and the inefficiency of the standard code search system. Conclusions: In order to use WEMD and SHED as a national surveillance system, it is necessary to simplify the number of standard code input codes and improve the search system efficiency.

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표 Table 1. Characteristics of WEM and SHE results for 21 carcinogens from 2014 to 2016
그림 Figure 1. Comparison of matching rate of standard industry and process between WEM and SHE data for 21 carcinogens from 2014 to 2016 (WEM: Working environment monitoring, SHE: Special health examination, KSIC10th: Korea Standard Industrial Classification 10^th revision, SPC: Standard process classification).
그림 Figure 2. Correlation between WEM implementation rate among places of business that conduct SHE and matching rate of standard industrial codes (WEM: Working environment monitoring, SHE: Special health examination, KSIC10th: Korea Standard Industrial Classification 10^th revision).
표 Table 2. Summary of data characteristics of workers who received both WEM and SHE from 2019 to 2020
표 Table 3. Status of top-ten most frequent standard occupations entered in SHE data of workers who received both WEM and SHE in 2020
그림 Figure 3. Example of a 'process' search screen according to the WEM and SHE results input program (WEM: Working environment monitoring, SHE: Special health examination).
표 Table 4. Basic characteristics of focus group interview subjects and summary of interview results on the cause of standard code input error
그림 Figure 4. Standard industry and occupational auto-coding results for the statement 'He repaired automobile' using NIOCCS (NIOSH Industry and Occupation Computerized Coding System).

참고문헌 (15)

Choi S, Jeong JY, Im S, Lim D, Koh DH et al. The standardization of work environment measurement information for constructing exposure surveillance system. J Korean Soc Occup Environ Hyg 2019: 29(3):322-335
Choi S, Kang D, Park D, Lee H, Choi B. Developing asbestos job exposure matrix using occupation and industry specific exposure data (1984-2008) in republic of korea. Saf Health Work 2017;8(1): 105-115(https://doi.org/10.1016/j.shaw.2016.09.002)

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Gabriel S. The BG measurement system for hazardous substances (BGMG) and the exposure database of hazardous substances (MEGA). Int J Occup Saf Ergon 2006;12(1):101-104(https://doi.org/10.1080/10803548.2006.11076673)

상세보기
Hoar SK, Morrison AS, Cole P, Silverman DT. An occupation and exposure linkage system for the study of occupational carcinogenesis. JOM 1980; 22(11):722-726
Kauppinen T, Uuksulainen S, Saalo A, Makinen I, Pukkala E. Use of the Finnish Information System on Occupational Exposure (FINJEM) in epidemiologic, surveillance, and other applications. Ann Occup Hyg 2014;58(3):380-396

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Koh DH, Jeon HK, Lee SG, Ryu HW. The relationship between low-level benzene exposure and blood cell counts in korean workers. Occup Environ Med 2015;72(6):421-427(http://dx.doi.org/10.1136/oemed-2014-102227)

상세보기
Koh DH, Park JH, Lee SG, Kim HC, Choi S et al. Development of korean CARcinogen EXposure: an initiative of the occupational carcinogen surveillance system in korea. Ann Work Expo Health 2021(a);65(5):528-538(https://doi.org/10.1093/annweh/wxaa135)

상세보기
Koh DH, Park JH, Lee SG, Kim HC, Choi S et al. Combining lead exposure measurements and experts' judgment through a bayesian framework. Ann Work Expo Health 2017;61(9):1054-1075 (https://doi.org/10.1093/annweh/wxx072)

상세보기
Koh DH, Park JH, Lee SG, Kim HC, Choi S et al. Estimation of lead exposure prevalence in korean population through combining multiple experts' judgment based on objective data sources. Ann Work Expo Health 2018;62(2):210-220(DOI:10.1093/annweh/wxx106)

상세보기
Koh DH, Park JH, Lee SG, Kim HC, Jung H et al. Estimation of lead exposure intensity by industry using nationwide exposure databases in korea. Saf Health Work 2021(b);12(4):439-444(https://doi.org/10.1016/j.shaw.2021.07.008)

원문보기 상세보기
Partanen T, Kauppinen T, Nurminen M, Nickels J, Hernberg S et al. Formaldehyde exposure and respiratory and related cancer: A case-reference study among finnish woodworkers. Scandinavian J Work Environ Health 1985; 11:409-415
Reed JV, Harcourt AK. The essentials of occupational diseases. Baltimore: CC Thomas 1941
Siemiatycki J, Lavoue J. Availability of a new jobexposure matrix (CANJEM) for epidemiologic and occupational medicine purposes. J Occup Environ Med 2018;60(7):e324-e328

상세보기
Stamm R. MEGA-database: one million data since 1972. Appl Occup and Environ Hyg 2001;16(2):159-163
Vincent R, Jeandel B. COLCHIC-occupational exposure to chemical agents database: current content and development perspectives. Appl Occup Environ Hyg 2001;16(2):115-121(https://doi.org/10.1080/104732201460190)

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