MIARforest Reproducibility and Reliability for Assessing Occupational Risks in the Rainforest

Author:

Lima Killian1,Castro Ana C. Meira2ORCID,Santos Baptista João1ORCID

Affiliation:

1. Associated Laboratory for Energy, Transports and Aeronautics (LAETA/PROA), Faculty of Engineering of University of Porto—FEUP, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal

2. Centro de Recursos Naturais e Ambiente (CERENA-Porto), School of Engineering, Polytechnic of Porto—ISEP, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal

Abstract

The Method for the Integrated Assessment of Risks for rainforest (MIARforest) is a specific methodology for assessing the risk of occupational accidents associated with working in native tropical forests. MIARforest was validated for the results’ reproducibility and the reliability of calculated risk levels through the Delphi approach. Two rounds of questionnaires illustrating ten scenarios of activities associated with the logging process in the Eastern Amazon’s native rainforest (Brazil) were presented to forestry and occupational health and safety (OHS) experts. In the first round, the questionnaire was answered anonymously by 55 experts, and in the second, by 46. A percentage of agreement of at least 80% in each question was considered to close the process. Questions that did not meet the criterion in the first round were reassessed in the second round. The obtained results lead to the conclusion that MIARforest, an occupational accident risk assessment tool, has been effectively validated, demonstrating inter-rater reproducibility and reliability in determining risk values. These results highlight the objectivity and reliability of MIARforest.

Funder

University of Porto

Biomechanics and Health Unit of the Associated Laboratory for Energy, Transports, and Aeronautics

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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