How reliable and valid is the coding of the variables of the European Statistics on Accidents at Work (ESAW)? A need to improve preventive public policies

Molinero-Ruíz, Emilia; Pitarque, Silvia; Fondevila-McDonald, Yvonne; Martín-Bustamante, Mayte

doi:10.1016/j.ssci.2015.05.005

Cited by 20 publications

(7 citation statements)

References 25 publications

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“…ESAW was launched to harmonise this data (EU 2013), but the coding reliability of ESAW variables varies, and some variables are difficult to understand and code without training (Jacinto et al 2016). The ESAW 'age', 'sex' and 'nationality' variables have shown good coding reliability, whereas the variables concerning accidents, such as 'deviation', have shown 'low to moderate' reliability (Molinero-Ruiz et al 2015). To improve the reliability in our setting, we combined all the ESAW variables (variables 11-19) and combined the injuries to different areas of the head into one variable ('head injury'), as the employer, who is responsible for the accident report, is not usually educated in health care.…”

Section: Discussionmentioning

confidence: 99%

Work-related head injury and industry sectors in Finland: causes and circumstances

Heimonen

Nousiainen²,

Lassila³

et al. 2023

Int Arch Occup Environ Health

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Objective Despite the continuous development of occupational safety, the prevalence of work-related head injuries is excessive. To promote prevention, we conducted a study evaluating the risks and pathways that precede head injuries in different economic activity sectors. Methods In Finland, more than 90% of employees are covered by inclusive statutory workers’ compensation. We obtained data on occupational head injuries in 2010–2017 from an insurance company database. The European Statistics on Accidents at Work (ESAW) variables represented the characteristics of the accidents and the injury. We analysed the risk factors, contributing events and injury mechanisms in 20 industry sectors, based on the Statistical Classification of Economic Activities in the European Community (NACE). Results In the 32,898 cases, the most commonly affected area was the eyes (49.6%). The highest incidence of head injuries was in construction (15.7 per 1000 insurance years). Construction, manufacturing, and human health and social work activities stood out due to their distinctive ESAW category counts. ‘Working with hand-held tools’ [risk ratio (RR) 2.23, 95% confidence interval (CI) 2.14–2.32] in construction and ‘operating machines’ (RR 3.32, 95% CI 3.01–3.66) and ‘working with hand-held tools’ (1.99, 1.91–2.07) in manufacturing predicted head injury. The risk related to parameters of violence and threats in health and social work activities was nearly ninefold the risk of other sectors. Conclusion The risks and pathways preceding head injuries varied considerably. The highest head injury rates were in construction and manufacturing. Violence emerged as a major risk factor in human health and social work activities.

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Section: Discussionmentioning

confidence: 99%

Work-related head injury and industry sectors in Finland: causes and circumstances

Heimonen

Nousiainen²,

Lassila³

et al. 2023

Int Arch Occup Environ Health

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“…In this sense, authors such as Kjellén [21], Kjellén and Hovden [22] or Jacinto et al [23] argue that the coding and identification of the deviation variable is of vital importance, as it establishes in a precise way the previous circumstances in which the accident has occurred. Likewise, studies such as those by Molinero-Ruiz et al [24] and Jacinto et al [25] analysed the degree of reliability and validation of the variables used in the notification of occupational accidents in both Spain and Portugal, confirming that the deviation variable is positioned as the easiest to interpret and code.…”

Section: Review Of the Literature On The Mechanism Of Accidents In Th...mentioning

confidence: 93%

Performance of barrier systems and functions in the construction industry

Salguero-Caparrós

Martínez-Rojas

Pardo-Ferreira

et al. 2022

International Journal of Occupational Safety and Ergonomics

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Objectives. Improving knowledge about the mechanism of accident occurrence in the construction industry provides important information to help design and implement appropriate barriers to stop the spread of unexpected events. This study characterizes the sequence of accidents in the construction industry by linking the most commonly identified circumstances, the barriers and barrier functions infringed and the specific way in which each of these functioned. Methods. In order to achieve the proposed objective, an analysis was made of 241 investigations of work accidents that occurred in the construction sector in Spain between 2009 and 2014. The statistical difference between the groups of variables was determined using contingency tables in which the value of the χ 2 statistic was calculated. Results. The results obtained show that behavioural factors are fundamentally identified, such as the worker's non-observance of ensuring their own safety or the deficient interpretation of rules. Conclusions. This study illustrates that to understand the performance of barrier systems and functions, efforts must be focused not only on the things that go wrong, i.e., accidents, but also on the things that go right within the variability of daily performance in systems as complex as the construction industry.

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“…Accordingly, Lombardi et al [25] showed the application of K-means clustering for a sample of 116 accidents to investigate electric shock in the construction sector. Molinero-Ruiz et al [54] investigated the validity of the European Statistics on Accidents at Work (ESAW) variables' coding system to make specific risk profiling, while in the research by Jacinto and Soares [51], information on risks in the quarrying industry was derived through a data-driven approach. Similarly, Chokor et al [55] developed a Natural Language Processing (NLP) methodology to evaluate risk profiles in the construction industry from OSHA safety inspection reports.…”

Section: Methodsmentioning

confidence: 99%

Occupational Risk Assessment in Landfills: Research Outcomes from Italy

Lombardi

Mauro²,

Fargnoli³

et al. 2023

Safety

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Industrial production has brought increased wellbeing in the last years, but the amount of solid waste has undoubtedly increased. Thus, open dumpsites and landfills have been created throughout the world, with serious impacts on the environment and public health. In such a context, occupational health and safety (OHS) issues related to workers that have to deal with landfill characterization or management have not been considered sufficiently. To reduce such a research gap, in 2019 a research project started in Italy on OHS risk assessment in landfills. In fact, in such facilities, workers can be subjected to direct contact with the polluted environment and might not be completely aware of the entity and type of pollution (e.g., in open dumpsites). Starting with the analysis of INAIL data on accidents at work which occurred in Italy during the period 2008–2019, a specific risk analysis was carried out with the goal of defining risk determinants and profiles by means of K-means cluster analysis. Such an analysis allowed us to recognize the use of work equipment and the work environment as the main determinants of the accidents on the one hand, and the “driver of the excavator” as the most risky activity on the other. The achieved results take a step forward towards the characterization of occupational health and safety issues in landfills. Accordingly, the research outcomes represent a basis on which to address further research work in this field.

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How reliable and valid is the coding of the variables of the European Statistics on Accidents at Work (ESAW)? A need to improve preventive public policies

Cited by 20 publications

References 25 publications

Work-related head injury and industry sectors in Finland: causes and circumstances

Work-related head injury and industry sectors in Finland: causes and circumstances

Performance of barrier systems and functions in the construction industry

Occupational Risk Assessment in Landfills: Research Outcomes from Italy

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