Tags

Type your tag names separated by a space and hit enter

Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS.
Front Public Health. 2022; 10:852612.FP

Abstract

The risk factors affecting workers' unsafe acts were comprehensively identified by Human Factors Analysis and Classification System (HFACS) and grounded theory based on interview data and accident reports from deep coal mines. Firstly, we collected accident case and field interview data from deep coal mines issued by authoritative institutions. Then, the data were coded according to grounded theory to obtain relevant concepts and types. The HFACS model was used to classify the concepts and categories. Finally, the relationship between core and secondary categories was sorted out by applying a story plot. The results show that risk factors of unsafe acts of deep coal mine workers include environmental factors, organizational influence, unsafe supervision and unsafe state of miners, and the main manifestations of unsafe acts are errors and violations. Among them, the unsafe state of miners is the intermediate variable, and other factors indirectly affect risky actions of coal miners through unsafe sates. Resource management, organizational processes and failure to correct problems are the top three risk factors that occur more frequently in unsafe acts. The three most common types of unsafe act are unreasonable labor organization, failure to enforce rules, and inadequate technical specifications. By combining grounded theory and the HFACS framework to analyze data, risk factors for deep coal miners can be quickly identified, and more precise and comprehensive conceptual models of risk factors in unsafe acts of deep coal miners can be obtained.

Authors+Show Affiliations

School of Economics and Management, Anhui University of Science and Technology, Huainan, China.School of Economics and Management, Anhui University of Science and Technology, Huainan, China.School of Economics and Management, Anhui University of Science and Technology, Huainan, China.School of Economics and Management, Anhui University of Science and Technology, Huainan, China.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

35372192

Citation

Yang, Li, et al. "Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based On Grounded Theory and HFACS." Frontiers in Public Health, vol. 10, 2022, p. 852612.
Yang L, Wang X, Zhu J, et al. Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS. Front Public Health. 2022;10:852612.
Yang, L., Wang, X., Zhu, J., & Qin, Z. (2022). Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS. Frontiers in Public Health, 10, 852612. https://doi.org/10.3389/fpubh.2022.852612
Yang L, et al. Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based On Grounded Theory and HFACS. Front Public Health. 2022;10:852612. PubMed PMID: 35372192.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS. AU - Yang,Li, AU - Wang,Xue, AU - Zhu,Junqi, AU - Qin,Zhiyuan, Y1 - 2022/03/17/ PY - 2022/01/11/received PY - 2022/02/11/accepted PY - 2022/4/4/entrez PY - 2022/4/5/pubmed PY - 2022/4/6/medline KW - HFACS model KW - coal mine accidents KW - coal miners KW - grounded theory KW - unsafe acts SP - 852612 EP - 852612 JF - Frontiers in public health JO - Front Public Health VL - 10 N2 - The risk factors affecting workers' unsafe acts were comprehensively identified by Human Factors Analysis and Classification System (HFACS) and grounded theory based on interview data and accident reports from deep coal mines. Firstly, we collected accident case and field interview data from deep coal mines issued by authoritative institutions. Then, the data were coded according to grounded theory to obtain relevant concepts and types. The HFACS model was used to classify the concepts and categories. Finally, the relationship between core and secondary categories was sorted out by applying a story plot. The results show that risk factors of unsafe acts of deep coal mine workers include environmental factors, organizational influence, unsafe supervision and unsafe state of miners, and the main manifestations of unsafe acts are errors and violations. Among them, the unsafe state of miners is the intermediate variable, and other factors indirectly affect risky actions of coal miners through unsafe sates. Resource management, organizational processes and failure to correct problems are the top three risk factors that occur more frequently in unsafe acts. The three most common types of unsafe act are unreasonable labor organization, failure to enforce rules, and inadequate technical specifications. By combining grounded theory and the HFACS framework to analyze data, risk factors for deep coal miners can be quickly identified, and more precise and comprehensive conceptual models of risk factors in unsafe acts of deep coal miners can be obtained. SN - 2296-2565 UR - https://www.unboundmedicine.com/medline/citation/35372192/Risk_Factors_Identification_of_Unsafe_Acts_in_Deep_Coal_Mine_Workers_Based_on_Grounded_Theory_and_HFACS_ DB - PRIME DP - Unbound Medicine ER -