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      Factors associated with unsafe work behaviours in an Iranian petrochemical company: perspectives of workers, supervisors, and safety managers

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          Abstract

          Background

          The petrochemical industry is hazardous, in part because of the inherently dangerous nature of the work conducted, and incidents frequently result in significant financial and social losses. The most common immediate cause of incidents and injuries in this industry is unsafe worker behaviour. Identifying the factors encouraging unsafe work behaviours is the first step in taking action to discourage them. The aim of this study was to (a) explore workers’, supervisors’ and safety managers’ attitudes and perceptions of safety in a petrochemical company in Iran, and (b) identify the factors that discourage safe work behaviours.

          Methods

          A qualitative study was conducted by applying the steps described by Graneheim and Lundman (2004). Twenty participants were recruited from an Iranian petrochemical company using a multi-stage approach, with initial purposive sampling followed by snowball sampling to enhance recruitment. Individual face-to-face and semi-structured interviews were conducted to gain an in-depth understanding of factors acting as barriers to safe behaviour. The interviews were recorded and transcribed in Persian and then translated into English. Conventional content analysis was performed.

          Results

          The main themes emerging from the interviews were: (i) poor direct safety management and supervision; (ii) unsafe workplace conditions; (iii) workers’ perceptions, skills and training; and (iv) broader organisational factors.

          Conclusions

          The findings give insights into practical organisational measures that can be implemented by management to promote workers’ commitment to safety and engage in safe behaviours in their workplace.

          Trial registration

          Iranian Registry of Clinical Trials: IRCT20170515033981N2. Retrospectively registered 19 June 2018.

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          Most cited references56

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          Rigor in qualitative research: the assessment of trustworthiness.

          L Krefting (1991)
          Despite a growing interest in qualitative research in occupational therapy, little attention has been placed on establishing its rigor. This article presents one model that can be used for the assessment of trustworthiness or merit of qualitative inquiry. Guba's (1981) model describes four general criteria for evaluation of research and then defines each from both a quantitative and a qualitative perspective. Several strategies for the achievement of rigor in qualitative research useful for both researchers and consumers of research are described.
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            The impact of chief executive officer personality on top management team dynamics:one mechanism by which leadership affects organizational performance.

            This article explores 1 mechanism by which leader personality affects organizational performance. The authors hypothesized and tested the effects of leader personality on the group dynamics of the top management team (TMT) and of TMT dynamics on organizational performance. To test their hypotheses, the authors used the group dynamics q-sort method, which is designed to permit rigorous, quantitative comparisons of data derived from qualitative sources. Results from independent observations of chief executive officer (CEO) personality and TMT dynamics for 17 CEOs supported the authors' hypothesized relationships both between CEO personality and TMT group dynamics and between TMT dynamics and organizational performance.
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              Comparing two sampling methods to engage hard-to-reach communities in research priority setting

              Background Effective community-partnered and patient-centered outcomes research needs to address community priorities. However, optimal sampling methods to engage stakeholders from hard-to-reach, vulnerable communities to generate research priorities have not been identified. Methods In two similar rural, largely Hispanic communities, a community advisory board guided recruitment of stakeholders affected by chronic pain using a different method in each community: 1) snowball sampling, a chain- referral method or 2) purposive sampling to recruit diverse stakeholders. In both communities, three groups of stakeholders attended a series of three facilitated meetings to orient, brainstorm, and prioritize ideas (9 meetings/community). Using mixed methods analysis, we compared stakeholder recruitment and retention as well as priorities from both communities’ stakeholders on mean ratings of their ideas based on importance and feasibility for implementation in their community. Results Of 65 eligible stakeholders in one community recruited by snowball sampling, 55 (85 %) consented, 52 (95 %) attended the first meeting, and 36 (65 %) attended all 3 meetings. In the second community, the purposive sampling method was supplemented by convenience sampling to increase recruitment. Of 69 stakeholders recruited by this combined strategy, 62 (90 %) consented, 36 (58 %) attended the first meeting, and 26 (42 %) attended all 3 meetings. Snowball sampling recruited more Hispanics and disabled persons (all P < 0.05). Despite differing recruitment strategies, stakeholders from the two communities identified largely similar ideas for research, focusing on non-pharmacologic interventions for management of chronic pain. Ratings on importance and feasibility for community implementation differed only on the importance of massage services (P = 0.045) which was higher for the purposive/convenience sampling group and for city improvements/transportation services (P = 0.004) which was higher for the snowball sampling group. Conclusions In each of the two similar hard-to-reach communities, a community advisory board partnered with researchers to implement a different sampling method to recruit stakeholders. The snowball sampling method achieved greater participation with more Hispanics but also more individuals with disabilities than a purposive-convenience sampling method. However, priorities for research on chronic pain from both stakeholder groups were similar. Although utilizing a snowball sampling method appears to be superior, further research is needed on implementation costs and resources. Electronic supplementary material The online version of this article (doi:10.1186/s12874-016-0242-z) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                azitazahiri@modares.ac.ir , azita.zahiriharsini@sydney.edu.au
                ghofranf@modares.ac.ir
                sanaei1343@bmsu.ac.ir
                AMINSH_F@modares.ac.ir
                philip.bohle@utas.edu.au
                lynda.matthews@sydney.edu.au
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                31 July 2020
                31 July 2020
                2020
                : 20
                : 1192
                Affiliations
                [1 ]GRID grid.412266.5, ISNI 0000 0001 1781 3962, Department of Health Education, Faculty of Medical Sciences, , Tarbiat Modares University, ; P.O. Box 14115-111, Tehran, Iran
                [2 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Faculty of Medicine and Health, , The University of Sydney, ; Sydney, Australia
                [3 ]GRID grid.411521.2, ISNI 0000 0000 9975 294X, Health Research Center, Lifestyle institute, , Baqiyatallah University of Medical Sciences, ; Tehran, Iran
                [4 ]GRID grid.1009.8, ISNI 0000 0004 1936 826X, Tasmanian School of Business and Economics, , University of Tasmania, ; Private Bag 84, Hobart, Tasmania 7001 Australia
                [5 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Work and Health Research Team, Faculty of Medicine and Health, , The University of Sydney, ; Sydney, Australia
                Author information
                http://orcid.org/0000-0002-2338-230X
                Article
                9286
                10.1186/s12889-020-09286-0
                7393823
                32736619
                a1e1f606-1f71-49a8-9c39-70518a6a01cb
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 July 2019
                : 20 July 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Public health
                safe work behaviours,occupational health,petrochemical industry,workplace accidents,industrial hazards

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