Profitability and occupational injuries in U.S. underground coal mines

Investigating human error in Iran's copper mines using the CREAM based on human cognitive reliability analysis

Objectives Human error has been recognized as one of the top causes of most accidents in mines. This study aimed to identify and assess cognitive errors among copper miners using the cognitive reliability and error analysis method (CREAM). Methods. This cross-sectional study was carried out in one of the copper mines in Iran. First, all tasks were analyzed by hierarchical task analysis (HTA). Then cognitive errors were assessed using the CREAM. Results. With respect to the basic CREAM results in the operational units, including extraction, crushing and processing, human error probability (HEP) was obtained as 0.056, 0.0315 and 0.0177, respectively. Based on the results of the extended CREAM, the types of errors identified for all tasks in the three operational units were mainly associated with execution (53.4%), observation (40%), interpretation (5%) and planning (1.6%). Also, the cognitive errors were related to execution, monitoring, observation, communication, diagnosis, recording and planning, respectively. Conclusion. The results showed that human error is very high in the operational units of the mine. Therefore, immediate actions are needed to improve safety performance in the mine units, which determine the role of various factors in human errors and can provide the possibility of implementing more effective interventions.

Computational risk modeling of underground coal mines based on NIOSH employment demographics

Objective

To investigate the feasibility of predicting the risk of underground coal mine operations using data from the National Institute for Occupational Safety and Health (NIOSH).

Methods

A total of 22,068 data entries from 3,982 unique underground coal mines from 1990 to 2020 were extracted from the NIOSH mine employment database. We defined the risk index of a mine as the ratio between the number of injuries and the size of the mine. Several machine learning models were used to predict the risk of a mine based on its employment demographics (i.e., number of underground employees, number of surface employees, and coal production). Based on these models, a mine was classified into a "low-risk" or "high-risk" category and assigned with a fuzzy risk index. Risk probabilities were then computed to generate risk profiles and identify mines with potential hazards.

Results

NIOSH mine demographic features yielded a prediction performance with an AUC of 0.724 (95% CI 0.717-0.731) based on the last 31-years' mine data and an AUC of 0.738 (95% CI: 0.726, 0.749) on the last 16-years' mine data. Fuzzy risk score shows that risk is greatest in mines with an average of 621 underground employees and a production of 4,210,150 tons. The ratio of tons/employee maximizes the risk at 16,342.18 tons/employee.

Conclusion

It is possible to predict the risk of underground coal mines based on their employee demographics and optimizing the allocation and distribution of employees in coal mines can help minimize the risk of accidents and injuries.

Evaluation of human error in workers of an Iranian copper mine during the COVID-19 pandemic using the CREAM

BACKGROUND

The outbreak of COVID-19 has adversely affected both global economy and public health around the world. These effects have also been observed in many workplaces, including mines.

OBJECTIVE

This study aimed to examine the human error of copper miners during the pandemic.

METHOD

This descriptive-analytical, cross-sectional study was performed on 192 workers of a copper mine in Iran. For this, occupation tasks were firstly analyzed using the Hierarchical Task Analysis (HTA), and then the human error in different subunits was assessed using the basic Cognitive Reliability and Error Analysis Method (CREAM). The prevalence of COVID-19 among miners was determined by assessing positive PCR test records.

RESULTS

The probability of human error in the operational subunits including mining, crushing, processing, and support subunits was estimated to be 0.0056, 0.056, 0.0315, and 0.0177, respectively. All three operational units were found to be in the scrambling control mode. The support unit was determined to be in the tactical control mode. Approximately 50% of all workers had been infected with COVID-19, with the highest prevalence in support units.

CONCLUSION

The results suggest that during the COVID-19 pandemic, copper miners are at higher risk of human error induced by poor working conditions. Therefore, it is recommended to employ some management strategies such as promotion of safety, health monitoring, and adopting supportive measures to control occupational stresses and therefore the probability of human error in the mine's operational units.

Retrospective assessment of the association between noise exposure and nonfatal and fatal injury rates among miners in the United States from 1983 to 2014

BACKGROUND

Mining is a significant economic force in the United States but has historically had among the highest nonfatal injury rates across all industries. Several factors, including workplace hazards and psychosocial stressors, may increase injury and fatality risk. Mining is one of the noisiest industries; however, the association between injury risk and noise exposure has not been evaluated in this industry. In this ecological study, we assessed the association between noise exposure and nonfatal and fatal occupational injury rates among miners.

METHODS

Federal US mining accident, injury, and illness data sets from 1983 to 2014 were combined with federal quarterly mining employment and production reports to quantify annual industry rates of nonfatal injuries and fatalities. An existing job-exposure matrix for occupational noise was used to estimate annual industry time-weighted average (TWA, dBA) exposures. Negative binomial models were used to assess relationships between noise, hearing conservation program (HCP) regulation changes in 2000, year, and mine type with incidence rates of injuries and fatalities.

RESULTS

Noise, HCP regulation changes, and mine type were each independently associated with nonfatal injuries and fatalities. In multivariate analysis, each doubling (5 dB increase) of TWA was associated with 1.08 (95% confidence interval: 1.05, 1.11) and 1.48 (1.23, 1.78) times higher rate of nonfatal injuries and fatalities, respectively. HCP regulation changes were associated with 0.61 (0.54, 0.70) and 0.49 (0.34, 0.71) times lower nonfatal injury and fatality rates, respectively.

CONCLUSION

Noise may be a significant independent risk factor for injuries and fatalities in mining.

Six Sigma for workplace safety improvement: improving hazards and unsafe conditions in a metallic packaging manufacturing company

Six Sigma has been applied as a business process improvement strategy in many companies worldwide with great results. On the other hand, workplace safety constitutes a key issue for company managers due to their responsibility. The aim of this article is to demonstrate how using Six Sigma can reduce accidents. A case study is conducted on a large European metallic packaging manufacturing company. As a result, the company presented a reduction of lost time accidents from 97 to 30 that saved a lot of time and cost. The σ value achieved was 4.24. This project shows the effectiveness of Six Sigma as an improvement tool in the human resources area, despite most of the previous Six Sigma research being focused on manufacturing aspects. The case studied can be useful either for large companies or small and medium-sized companies interested in improving safety.

Analysis of coal mine occupational disease hazard evaluation index based on AHP-DEMATEL

The main purpose to analysis the occupational-disease-inductive index in coal mine is to protect the life and health of the workers and reduce the losses caused by it. According to the occupational-disease-inductive factors "produce source-cause factors-function object" to analyze the whole process of occupational disease hazard control in coal mine, determined the occupational-disease-inductive factors cause of coal mine. Then, the occupational disease hazard of coal mine based on the energy release cause model was established, built the evaluation index system of coal mine occupational disease hazard. The AHP-DEMATEL evaluation model was used to analyze the indicators. Combined with the application of case study, the evaluation results were in good agreement with the actual situation of occupational hazard management in coal mines. It indicated that the indicator system has a strong generalization and adaptability.

Analysis of fatal injuries in Serbian underground coal mines - 50 years review

The study presented here analyzes mining accidents and fatal injuries in Serbian underground coal mines over a period of 50 years, in order to assess the effectiveness of legislation changes in the overall safety of work environment. Two distinct periods, prior to 2000 and after 2000 were compared. The data from the period after 2000 were further analyzed to provide better understanding of the results. In order to assess the overall state of safety in Serbian mines, the data on fatal injuries were also compared to the international data. It was found that the legislative changes are more easily accepted by the common workers than by the mine management. Consequently, the key recommendation for the safety of coal mine companies in Serbia is the investment in the new technology. Additionally, mine management should be in the focus of the mining inspection with a stronger penal policy regarding mine safety neglect.

Estimating the prevalence and spatial clusters of coal workers' pneumoconiosis cases using medicare claims data, 2011-2014

BACKGROUND

Workers employed in the coal mining sector are at increased risk of respiratory diseases, including coal workers' pneumoconiosis (CWP). We investigated the prevalence of CWP and its association with sociodemographic factors among Medicare beneficiaries.

METHODS

We used 5% Medicare Limited Data Set claims data from 2011 to 2014 to select Medicare beneficiaries with a diagnosis of ICD-9-CM 500 (CWP). We aggregated the data by county and limited our analysis to seven contiguous states: Illinois, Indiana, Kentucky, Ohio, Pennsylvania, Virginia, and West Virginia. We estimated county-level prevalence rates using total Medicare beneficiaries and miners as denominators and performed spatial hotspot analysis. We used negative binomial regression analysis to determine the association of county-wise sociodemographic factors with CWP.

RESULTS

There was significant spatial clustering of CWP cases in Kentucky, Virginia, and West Virginia. Spatial clusters of 210 and 605 CWP cases representing an estimated 4200 to 12 100 cases of Medicare beneficiaries with CWP were identified in the three states. Counties with higher poverty levels had a significantly elevated rate of CWP (adjusted rate ratios [RR]: 1.15; 95% CI, 1.12-1.18). There was a small but significant association of CWP with the county-wise catchment area. Rurality was associated with a more than three-fold elevated rate of CWP in the unadjusted analysis (RR: 3.28, 95% CI, 2.22-4.84). However, the rate declined to 1.45 (95% CI, 1.04-2.01) after adjusting for other factors in the analysis.

CONCLUSIONS

We found evidence of significant spatial clustering of CWP among Medicare beneficiaries living in the seven states of the USA.

The Prevalence of Chronic Diseases Among Current and Ex-Miners in the United States

OBJECTIVE

To determine and compare the prevalence and odds of chronic diseases among ex- and current miners.

METHODS

Fourteen-year pooled data from the National Health Interview Survey between 2004 and 2017 were analyzed. Ex- and current miners ages 18 to 64 years were defined based on employment status at the time of National Health Interview Survey (NHIS) interview. We calculated age-adjusted prevalence rates and odds ratios of association of chronic diseases. The analysis was adjusted for respondent's age, sex, race, marital status, poverty-income ratio, health insurance, and smoking status.

RESULTS

Ex-miners have significantly increased prevalence of most chronic diseases. The age-adjusted prevalence and the adjusted odds of heart disease, cancer, hypertension, diabetes, and psychological stress were significantly higher among ex-miners as compared with current miners.

CONCLUSIONS

Ex-miners have worse health outcomes that may persist for years after leaving the mining industry.

Precarious employment, business performance and occupational injuries: a study protocol of a register-based Swedish project

INTRODUCTION

There is uncertainty regarding the trends in occupational injuries (OIs) in Sweden due to a significant and increasing problem with under-reporting to injury registers. Under-reporting, in general, is likely to be exacerbated by the rise in precarious employment (PE), a set of unfavourable employment characteristics that would benefit from formal definition and study. PE and global trends are believed also to affect companies and their commitment to health and safety. The present study attempts to bridge these knowledge gaps and presents a study protocol for planned studies, with three main objectives: first, to review the literature for definitions of PE emphasising those that are multidimensional and operationalise components in routinely collected register data; second, to estimate the under-reporting of OI in Swedish registers and third, using results from the first objective, to conduct large, register-based prospective studies, designed to measure effect sizes and interactions between PE, business performance and OI.

METHODS AND ANALYSIS

First, a scientific literature review will be conducted, including scientific databases and grey literature. Second, data from two major OI registers will be used to estimate the magnitude of under-reporting using capture-recapture methodology. Finally, all residents aged 18-65 in Sweden with any registered income during 2003-2015 will be included. Data sources encompass Swedish population and labour market registers with linkage to both the main OI register with national coverage and hospital records. Trends in PE and OI will be explored, together with risk of OI associated with PE and business performance.

ETHICS AND DISSEMINATION

The project has been approved by the Regional Ethics Committee, Stockholm (dnr: 2016/2325-31; 2017/2173-32). Dissemination of study results will include a series of peer-reviewed papers, at least one PhD thesis and one report in Swedish, engaging relevant stakeholders. Results will be presented in national and international conferences and through press releases to mass media.

Risk of Injury by Unionization: Survival Analysis of a Large Industrial Cohort

OBJECTIVE

To investigate the effect of union status on injury risk among a large industrial cohort.

METHODS

The cohort included hourly employees at 19 US plants between 2000 and 2007. Plants were classified by union status, and injuries were classified by severity. Cox-proportional hazard shared frailty model was used to determine time to first reportable injury.

RESULTS

A total of 26,462 workers were included: 18,955 (72%) unionized and 7507 (28%) non-unionized. Union workers incurred 3194 injuries (16.9%) compared with 618 injuries for non-union workers (8.2%). After adjusting for multiple covariates, union workers had a 51% higher risk of reportable injury.

CONCLUSIONS

Our results provide evidence for higher risk of reportable injuries in union workers; explanations for this increased risk remain unclear.

Systematic review: Lost-time injuries in the US mining industry

Background

The mining industry is associated with high levels of accidents, injuries and illnesses. Lost-time injuries are useful measures of health and safety in mines, and the effectiveness of its safety programmes.

Aims

To identify the type of lost-time injuries in the US mining workforce and to examine predictors of these occupational injuries.

Methods

Primary papers on lost-time injuries in the US mining sector were identified through a literature search in eight health, geology and mining databases, using a systematic review protocol tailored to each database. The Critical Appraisal Skills Programme (CASP), Framework of Quality Assurance for Administrative Data Source and the Cochrane Collaboration 'Risk of bias' assessment tools were used to assess study quality.

Results

A total of 1736 articles were retrieved before duplicates were removed. Fifteen articles were ultimately included with a CASP mean score of 6.33 (SD 0.62) out of 10. Predictors of lost-time injuries included slips and falls, electric injuries, use of mining equipment, working in underground mining, worker's age and occupational experience.

Conclusions

This is the first systematic review of lost-time injuries in the US mining sector. The results support the need for further research on factors that contribute to workplace lost-time injuries as there is limited literature on the topic. Safety analytics should also be applied to uncover new trends and predict the likelihood of future incidents before they occur. New insights will allow employers to prevent injuries and foster a safer workplace environment by implementing successful occupational health and safety programmes.

Mass Casualty Incidents in the Underground Mining Industry: Applying the Haddon Matrix on an Integrative Literature Review

OBJECTIVE

Underground mining is associated with obvious risks that can lead to mass casualty incidents. Information about such incidents was analyzed in an integrated literature review.

METHODS

A literature search (1980-2015) identified 564 modern-era underground mining reports from countries sharing similar occupational health legislation. These reports were condensed to 31 reports after consideration of quality grading and appropriateness to the aim. The Haddon matrix was used for structure, separating human factors from technical and environmental details, and timing.

RESULTS

Most of the reports were descriptive regarding injury-creating technical and environmental factors. The influence of rock characteristics was an important pre-event environmental factor. The organic nature of coal adds risks not shared in hard-rock mines. A sequence of mechanisms is commonly described, often initiated by a human factor in interaction with technology and step-wise escalation to involve environmental circumstances. Socioeconomic factors introduce heterogeneity. In the Haddon matrix, emergency medical services are mainly a post-event environmental issue, which were not well described in the available literature. The US Quecreek Coal Mine incident of 2002 stands out as a well-planned rescue mission.

CONCLUSION

Evaluation of the preparedness to handle underground mining incidents deserves further scientific attention. Preparedness must include the medical aspects of rescue operations. (Disaster Med Public Health Preparedness. 2018;12:138-146).

Analysis 320 coal mine accidents using structural equation modeling with unsafe conditions of the rules and regulations as exogenous variables

Mining has been historically considered as a naturally high-risk industry worldwide. Deaths caused by coal mine accidents are more than the sum of all other accidents in China. Statistics of 320 coal mine accidents in Shandong province show that all accidents contain indicators of "unsafe conditions of the rules and regulations" with a frequency of 1590, accounting for 74.3% of the total frequency of 2140. "Unsafe behaviors of the operator" is another important contributory factor, which mainly includes "operator error" and "venturing into dangerous places." A systems analysis approach was applied by using structural equation modeling (SEM) to examine the interactions between the contributory factors of coal mine accidents. The analysis of results leads to three conclusions. (i) "Unsafe conditions of the rules and regulations," affect the "unsafe behaviors of the operator," "unsafe conditions of the equipment," and "unsafe conditions of the environment." (ii) The three influencing factors of coal mine accidents (with the frequency of effect relation in descending order) are "lack of safety education and training," "rules and regulations of safety production responsibility," and "rules and regulations of supervision and inspection." (iii) The three influenced factors (with the frequency in descending order) of coal mine accidents are "venturing into dangerous places," "poor workplace environment," and "operator error."

Industry-Related Injuries in the United States From 1998 to 2011: Characteristics, Trends, and Associated Health Care Costs

OBJECTIVE

To describe the trends, correlates, and healthcare costs associated with industry-related injuries across the United States between 1998 and 2011.

METHODS

A retrospective, cross-sectional analysis of hospital discharges was conducted using the National Inpatient Sample. We used the International Classification of Diseases, Ninth Revision, Clinical Modification codes to identify accidents occurring in industrial settings. Joinpoint regression modeling was used to analyze trends.

RESULTS

Most of the 357,716 inpatient hospitalizations were admissions from the emergency department (55%). Fractures were the most prevalent injuries (48.1%), whereas the lower and upper extremities were the most common injury sites (51.7%). The mean per admission cost of direct medical care was $12,849, with an overall downward trend in injuries during the study period.

CONCLUSIONS

A comprehensive trend analysis of industry-related injuries is valuable to policymakers in formulating targeted strategies and allocating resources to address disparities at various levels.

Factors associated with fatal mining injuries among contractors and operators

OBJECTIVE

To explore factors associated with fatal accidents among contractors and operators by using the Mine Safety and Health Administration database.

METHODS

Cross-sectional data on 157,410 miners employed by operators or contractors during 1998-2007 were analyzed using logistic regression and multiple imputation.

RESULTS

Univariate odds of fatal versus nonfatal accident were 2.8 (95% confidence interval, 2.3 to 3.4) times higher for contractors than operators. In a multivariable model, fatality was associated with contractor, less experience at the current mine, and occurrence at more than 8 hours into the workday (P < 0.05 for each). Differences in odds of fatality by employment type were more pronounced in surface mines.

CONCLUSIONS

Contractors had a higher proportion of fatal injuries. Fatality also varied by mine experience, the number of hours worked before injury, work location, and mine type.

Risks and risk governance in unconventional shale gas development

A broad assessment is provided of the current state of knowledge regarding the risks associated with shale gas development and their governance. For the principal domains of risk, we identify observed and potential hazards and promising mitigation options to address them, characterizing current knowledge and research needs. Important unresolved research questions are identified for each area of risk; however, certain domains exhibit especially acute deficits of knowledge and attention, including integrated studies of public health, ecosystems, air quality, socioeconomic impacts on communities, and climate change. For these, current research and analysis are insufficient to either confirm or preclude important impacts. The rapidly evolving landscape of shale gas governance in the U.S. is also assessed, noting challenges and opportunities associated with the current decentralized (state-focused) system of regulation. We briefly review emerging approaches to shale gas governance in other nations, and consider new governance initiatives and options in the U.S. involving voluntary industry certification, comprehensive development plans, financial instruments, and possible future federal roles. In order to encompass the multiple relevant disciplines, address the complexities of the evolving shale gas system and reduce the many key uncertainties needed for improved management, a coordinated multiagency federal research effort will need to be implemented.