Abstract
In recent years, there has been increasing interest in the role that individual factors play in health and safety (H&S) outcomes in the mining industry.
Two surveys, one measuring self-reported routine safety performance and one measuring individual perceived competence in the non-routine knowledge, skills, and abilities (KSAs) critical to emergency response, were administered to two samples of mineworkers in separate research studies over a 2-year period (N = 2,020 and 696, respectively). Eight demographic items were common to both surveys and their associations with each performance outcome were tested in response to a series of exploratory research questions.
Significant relationships were found between both safety outcome variables and individual factors, including the length of experience in current job, current mine, and mining industry, as well as participant workgroup and work schedule. Notably, the length of experience in the mining industry was the only variable significantly associated with both routine and non-routine safety performance.
This analysis suggests that individual factors such as length of job, industry, and mine experience are predictive of routine and/or non-routine safety performance outcomes in significant and sometimes unexpected ways.
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Data Availability
Due to the federal governmental procedures, participant organizations were granted certificates of confidentiality which preclude the public sharing of the datasets.
Code Availability
Not applicable.
References
Haas EJ, Ryan ME, Hoebbel CL (2018) Examining associations between job autonomy in the mining industry and safety climate. Prof Saf December:30–34.
Yorio PL, Willmer DR, Moore SM (2015) Health and safety management systems through a multilevel and strategic management perspective: theoretical and empirical considerations. Saf Sci 72:221–228. https://doi.org/10.1016/j.ssci.2014.09.011
Wachter JK, Yorio PL (20140 A system of safety management practices and worker engagement for reducing and preventing accidents: an empirical and theoretical investigation. Accid Anal Prev 68:117–130. https://doi.org/10.1016/j.aap.2013.07.029
MSHA (2017) MSHA launches compliance assistance initiative to address increased injuries, fatalities among less experienced coal miners. [Press release cited 2020 Jul 27]. Available from: https://www.msha.gov/news-media/press-releases/2017/06/19/msha-launches-compliance-assistance-initiative-address.
National Research Council (2013) Improving self-escape from underground coal mines. Committee on Mine Safety: Essential Components of Self-escape. Board on Human Systems Integration, Division of Behavioral and Social Sciences and Education. Washington, D.C: The National Academies Press.
Haas EJ, Eiter B, Hoebbel C, Ryan ME (2019) The impact of job site and industry experience on worker health and safety. Safety 5(1):16. https://doi.org/10.3390/safety5010016
Grant AM, Parker SK, Collins CG (2009) Getting credit for proactive behavior: supervisor reactions depend on what you value and how you feel. Pers Psychol 62:31–55. https://doi.org/10.1111/j.1744-6570.2008.01128.x
Thompson JA (2005) Proactive personality and job performance: a social capital perspective. J Appl Psychol 90:1011–1017. https://doi.org/10.1037/0021-9010.90.5.1011
Crant JM (1995) The proactive personality scale and objective job performance among real estate agents. J Appl Psychol 80(4):532. https://doi.org/10.1037/0021-9010.80.4.532
Neal A, Griffin MA, Hart PM (2000) The impact of organizational climate on safety climate and individual behavior. Saf Sci 34(1–3):99–109. https://doi.org/10.1016/S0925-7535(00)00008-4
Clarke S, Ward K (2006) The role of leader influence tactics and safety climate in engaging employees’ safety participation. Risk Anal 26(5):1175–1185. https://doi.org/10.1111/j.1539-6924.2006.00824.x
Haas EJ, Peters RH, Kosmoski CL (2015) Enhancing self-escape by integrating competency assessment into training. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, DHHS (NIOSH) Publication 2015–188, RI 9699.
Peters RH, Kosmoski C (2013) Are your coal miners prepared to self-escape? Coal Age 118(1):26–28
Hoebbel C, Brnich MJ, Ryan ME (2018) The ABCs of KSAs: assessing the self-escape knowledge, skills and abilities of coal miners. Coal Age 123(1):30–34
Parker SK, Bindl UK, Strauss K (2010) Making things happen: a model of proactive motivation. J Manag Stud 36(4):827–856. https://doi.org/10.1177/0149206310363732
Zacharatos A, Barling J, Iverson RD (2005) High-performance work systems and occupational safety. J Appl Psychol 90(1):77–93. https://doi.org/10.1037/0021-9010.90.1.77
Nunnally JC (1978) An overview of psychological measurement. In Clinical Diagnosis of Mental Disorders Springer, Boston, MA: 97-146. https://doi.org/10.1007/978-1-4684-2490-4_
Cronbach LJ (1951) Coefficient alpha and the internal structure of tests. Psychometrika 16(3):297–334. https://doi.org/10.1007/BF02310555
Bandura A (2006) Guide for constructing self-efficacy scales. Self-efficacy beliefs of adolescents 5(1):307–337
Pajares F (1996) Self-efficacy beliefs in academic settings. Rev Educ Res 66(4):543–578. https://doi.org/10.3102/00346543066004543
gOE/Aptima (2016) Emergency self-escape phase 2 report: identify and categorize primary self-escape tasks. Unpublished contract report for the Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health. Unpublished report available upon request from mining@cdc.gov.
Schmidt FL, Hunter JE, Outerbridge AN (1986) Impact of job experience and ability on job knowledge work sample performance and supervisory ratings of job performance. J Appl Psychol 71(3):432–439. https://doi.org/10.1037/0021-9010.71.3.432
Burke MJ, Scheuer ML, Meredith RJ (2007) A dialogical approach to skill development: the case of safety skills. Hum Resour Manag Rev 17(2):235–250. https://doi.org/10.1016/j.hrmr.2007.04.004
Neal A, Griffin MA (2006) A study of the lagged relationships among safety climate safety motivation safety behavior and accidents at the individual and group levels. J Appl Psychol 91(4):946–953. https://doi.org/10.1037/0021-9010.91.4.946
Ng TW, Feldman DC (2013) A meta-analysis of the relationships of age and tenure with innovation-related behaviour. J Occup Organ Psychol 86(4):585–616. https://doi.org/10.1111/joop.12031
Christian MS, Bradley JC, Wallace JC, Burke MJ (2009) Workplace safety: a meta-analysis of the roles of person and situation factors. J Appl Psychol 94(5):1103–1127. https://doi.org/10.1037/a0016172
Butani SJ (1988) Relative risk analysis of injuries in coal mining by age and experience at present company. J Occup Accid 10(3):209–216. https://doi.org/10.1016/j.shaw.2018.09.001
Ferguson SA, Paech GM, Dorrian J, Roach GD (2011) Jay SM 2011 Performance on a simple response time task: is sleep or work more important for miners? Appl Ergon 42(2):210–213. https://doi.org/10.1016/j.apergo.2010.06.010
Muller R, Carter A, Williamson A (2007) Epidemiological diagnosis of occupational fatigue in a fly-in/fly-out operation of the mineral industry. Ann Occup Hyg 52(1):63–72. https://doi.org/10.1093/annhyg/mem058
Sneddon A, Mearns K, Flin R (2013) Stress fatigue situation awareness and safety in offshore drilling crews. Saf Sci 56:80–88. https://doi.org/10.1016/j.ssci.2012.05.027
Elliott JL, Lal S (2016) Blood pressure sleep quality and fatigue in shift working police officers: effects of a twelve-hour roster system on cardiovascular and sleep health. Int J Environ Res Public Health 13(2):172. https://doi.org/10.3390/ijerph13020172
Ranganathan P, Pramesh CS, Aggarwal R (2017) Common pitfalls in statistical analysis: logistic regression. Perspect Clin Res 8(3):148. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543767/
NIOSH (2021) Mining project: inexperience as a contributor to workplace injury. vailable at: https://www.cdc.gov/niosh/mining/researchprogram/projects/project_workplaceinjurycontributor.html
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Cassandra L. Hoebbel, Emily J. Haas, and Margaret E. Ryan. The first draft of the manuscript was written by Cassandra L. Hoebbel and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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This research was approved by the National Institute for Occupational Safety and Health (NIOSH) and Human Subjects Review Board (HSRB) under NIOSH protocol numbers 14-OMSHR-08XM and 16-OMSHR-01XM .
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Hoebbel, C.L., Haas, E.J. & Ryan, M.E. Exploring Worker Experience as a Predictor of Routine and Non-routine Safety Performance Outcomes in the Mining Industry. Mining, Metallurgy & Exploration 39, 485–494 (2022). https://doi.org/10.1007/s42461-021-00536-2
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DOI: https://doi.org/10.1007/s42461-021-00536-2