Improving occupational health and safety risk evaluation through decision analysis

Oliveira, Mónica Duarte; Lopes, Diana F.; Costa, Carlos A. Bana e

doi:10.1111/itor.12339

Cited by 21 publications

(9 citation statements)

References 55 publications

(59 reference statements)

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“…Therefore, it should be noted that the most HSE opportunities which are created by technology are related to managers' Discussion perceptions and their providence (23)(24)(25)(26). Integrated management (HSE) is a process that needs to be institutionalized in order not to lose its effectiveness, as any other social issue does (27,28). Therefore, the creation of positions specialized for HSE in sports facilities and the work process of sports managers is another complementary component of integrated management development (HSE) in sports facilities (24).…”

Section: Resultsmentioning

confidence: 99%

Provision of an Integrated Health, Safety, and Environment Management Model in Sports Facilities in Iran

et al. 2019

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Background & Aims of the Study: The system of safety management, health, and the environment is one of the most effective management systems that can be emphasized to create an environment that identifies, evaluates, eliminates or controls all the factors of injury so as to ensure the health, safety, and environment of the sports facilities. Therefore, the present study aimed to present an integrated model of HSE management in sports facilities in Iran. Materials and Methods: The research method was mixed and based on structural equation modeling. The statistical population of the study consisted of all professors, coaches, supervisors, managers, and experts of sports facilities in 2019. Due to the large statistical population, after designing a researcher-made questionnaire, a total of 561 questionnaires were distributed electronically and in-person among the statistical population. According to the number of completed questionnaires, the number of statistical population in the present study reached 400 subjects. Data analysis was performed using SmartPLS (version 3) and SPSS software (version 20). Results: As evidenced by the obtained results, the impact of the three main dimensions, namely deployment of related technologies (modern antecedents), deployment of management system (core components), and improvement of management culture (HSE) and its sub-dimensions on the health, safety, and environmental management system of sports facilities were confirmed. Conclusion:As illustrated by the obtained results, it can be concluded that the use of integrated model (HSE) in sport facilities can have a suitable and practical position among sport managers in three dimensions (deployment of related technologies, deployment of management system, and improvement of HSE management culture). Therefore, proper scientific planning and strategy for the development of integrated model (HSE), especially in sports facilities, can be identified as the highest strength of managers in this field.

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Section: Resultsmentioning

confidence: 99%

Provision of an Integrated Health, Safety, and Environment Management Model in Sports Facilities in Iran

et al. 2019

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“…Concerning preference dependence, there is a need to develop tests with friendly protocols of questioning not only for identifying such issues (as in Oliveira et al), but also to suggest how to make use of distinct model structures in a user-friendly way. Literature already advises on how to restructure models so as to respect additivity, for instance building constructed attributes that integrate preference dependent dimensions [48]; and some studies in health settings have already developed (and applied) user-friendly protocols of questioning to identify preference dependence cases and show how multilinear [195] and Choquet Integral-based models [198] can be built. Some studies in real settings have also explained the rationale for using multiplicative models [172].…”

Section: Discussionmentioning

confidence: 99%

Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art

2019

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Background Multi-criteria decision analysis (MCDA) concepts, models and tools have been used increasingly in health technology assessment (HTA), with several studies pointing out practical and theoretical issues related to its use. This study provides a critical review of published studies on MCDA in the context of HTA by assessing their methodological quality and summarising methodological challenges. Methods A systematic review was conducted to identify studies discussing, developing or reviewing the use of MCDA in HTA using aggregation approaches. Studies were classified according to publication time and type, country of study, technology type and study type. The PROACTIVE-S approach was constructed and used to analyse methodological quality. Challenges and limitations reported in eligible studies were collected and summarised; this was followed by a critical discussion on research requirements to address the identified challenges. Results 129 journal articles were eligible for review, 56% of which were published in 2015-2017; 42% focused on pharmaceuticals; 36, 26 and 18% reported model applications, issues regarding MCDA implementation analyses, and proposing frameworks, respectively. Poor compliance with good methodological practice (< 25% complying studies) was found regarding behavioural analyses, discussion of model assumptions and uncertainties, modelling of value functions, and dealing with judgment inconsistencies. The five most reported challenges related to evidence and data synthesis; value system differences and participant selection issues; participant difficulties; methodological complexity and resource balance; and criteria and attributes modelling. A critical discussion on ways to address these challenges ensues. Discussion Results highlight the need for advancement in robust methodologies, procedures and tools to improve methodological quality of MCDA in HTA studies. Research pathways include developing new model features, good practice guidelines, technologies to enable participation and behavioural research. Keywords Multi-criteria decision analysis • Health technology assessment • Systematic review • Methodological quality • Methodological challenges • MCDA modelling JEL Classification I (Health education and welfare) • I10 (General) • I18 (Government policy regulation public health) • C44 (Operations research statistical decision theory) • D80 (General)

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“…Tremblay and Badri (2018) proposed a novel occupational health and safety tool for small-and medium-sized enterprises to overcome overloading of experts in accident prevention. Oliveira et al (2018) used MACBETH-Choquet integration to model interdependent impacts, and a system of rules to risk probability assessment.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel fuzzy risk matrix based risk assessment approach

Can

Toktaş²

2018

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Purpose Traditional risk assessment (RA) methodologies cannot model vagueness in risk and cannot prioritize corrective-preventive measures (CPMs) by considering effectiveness of those on risk types (RTs). These cannot combine and reflect accurately different subjective opinions and cannot be used in a linguistic manner. Risk factors (RFs) are assumed to have the same importance and interrelations between RFs are not considered. This study aims to overcome these disadvantages by combining fuzzy logic with multi-criteria decision-making in a dynamic manner. Design/methodology/approach This study proposes a novel three-stage fuzzy risk matrix-based RA integrating fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) and fuzzy multi-attributive border approximation area comparison (F-MABAC). At the first stage, importance weights of RFs are computed by F-DEMATEL. At the second stage, risk degrees of RTs are computed via using fuzzy risk matrix. At the third stage, CPMs are ranked by F-MABAC. Finally, a numerical example for RA in a warehouse is given. Findings Results show that developing instructions for material loading or unloading is the most important CPM and severity is the most important RF for the warehouse. Originality/value This study has originality in terms of having fuzzy dynamic structure. At first, RFs are assumed to be criteria sets then, RTs are assumed to be criteria set considering their risk degrees to rank CPMs in a fuzzy manner. Risk degrees of RTs are used for weights of RTs and effectiveness of CPMs are used for performance values of CPMs.

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Improving occupational health and safety risk evaluation through decision analysis

Cited by 21 publications

References 55 publications

Provision of an Integrated Health, Safety, and Environment Management Model in Sports Facilities in Iran

Provision of an Integrated Health, Safety, and Environment Management Model in Sports Facilities in Iran

Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art

A novel fuzzy risk matrix based risk assessment approach

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