Literature DB >> 32875278

Learning from Workers' Near-miss Reports to Improve Organizational Management.

Emily J Haas1, Brendan Demich1, Joseph McGuire2.   

Abstract

Near misses recorded and reported by workers can provide awareness to the potential causes of injury and prompt safety management initiatives. Although most companies require near-miss reporting, it is unclear what the value of these reports are, if any, and how they influence subsequent actions or controls to reduce on-the-job risks. Researchers at the National Institute for Occupational Safety and Health (NIOSH) conducted a case study with an aggregates company in which near-miss reports were analyzed at each of their locations over an entire quarter during the summer of 2018. Within that quarter, workers recorded 249 near misses. Of those, 167 were valid near misses that occurred at work. Researchers coded the reports using a qualitative 5 × 5 risk matrix. Of the 167 near misses, 19% were deemed low risk, 25% moderate risk, 30% high risk, and 26% critical risk. Several patterns in the near-miss incidents were documented, including classification of incidents and common corrective actions referenced (i.e., elimination/substitution, engineering control or redesign, work process/procedures, and personal protective equipment). The analysis provides insight into ways that risk communication and management programs can be improved to reengage workers and their situational awareness on the job.

Entities:  

Keywords:  Health and safety management system; Hierarchy of controls; Near-miss incident; Qualitative risk matrix; Risk assessment

Year:  2020        PMID: 32875278      PMCID: PMC7458492          DOI: 10.1007/s42461-020-00206-9

Source DB:  PubMed          Journal:  Min Metall Explor        ISSN: 2524-3462


  13 in total

Review 1.  Reporting and preventing medical mishaps: lessons from non-medical near miss reporting systems.

Authors:  P Barach; S D Small
Journal:  BMJ       Date:  2000-03-18

2.  Determinants of work injuries in mines - an application of structural equation modelling.

Authors:  J Maiti; S Chatterjee; S I Bangdiwala
Journal:  Inj Control Saf Promot       Date:  2004-03

3.  On "black swans" and "perfect storms": risk analysis and management when statistics are not enough.

Authors:  Elisabeth Paté-Cornell
Journal:  Risk Anal       Date:  2012-03-02       Impact factor: 4.000

4.  Perceived risk of occupational injury: control over pace of work and blue-collar versus white-collar work.

Authors:  W A Harrell
Journal:  Percept Mot Skills       Date:  1990-06

5.  Examining Factors that Influence the Existence of Heinrich's Safety Triangle Using Site-Specific H&S Data from More than 25,000 Establishments.

Authors:  Patrick L Yorio; Susan M Moore
Journal:  Risk Anal       Date:  2017-08-02       Impact factor: 4.000

6.  Near-miss narratives from the fire service: a Bayesian analysis.

Authors:  Jennifer A Taylor; Alicia V Lacovara; Gordon S Smith; Ravi Pandian; Mark Lehto
Journal:  Accid Anal Prev       Date:  2013-10-01

7.  Organizational safety: which management practices are most effective in reducing employee injury rates?

Authors:  Alison G Vredenburgh
Journal:  J Safety Res       Date:  2002

8.  Seven hundred and fifty-nine (759) chances to learn: a 3-year pilot project to analyse transfusion-related near-miss events in the Republic of Ireland.

Authors:  D Lundy; S Laspina; H Kaplan; B Rabin Fastman; E Lawlor
Journal:  Vox Sang       Date:  2007-04       Impact factor: 2.144

9.  Fix and forget or fix and report: a qualitative study of tensions at the front line of incident reporting.

Authors:  Tanya Anne Hewitt; Samia Chreim
Journal:  BMJ Qual Saf       Date:  2015-03-06       Impact factor: 7.035

10.  Framework for continuous assessment and improvement of occupational health and safety issues in construction companies.

Authors:  Shahram Mahmoudi; Fakhradin Ghasemi; Iraj Mohammadfam; Esmaeil Soleimani
Journal:  Saf Health Work       Date:  2014-06-17
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