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1.
Appl Ergon ; 87: 103110, 2020 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-32310112

RESUMO

The common cause hypothesis, as applied here, proposes that similar networks of influencing factors may contribute to both adverse outcomes and near misses. This hypothesis has not been evaluated using a systems-thinking perspective. The aims of this study are to evaluate whether networks of contributory and protective factors exist within aviation serious near miss reports and to determine if the common cause hypothesis is applicable in this context. Sixteen incident reports from French civil aviation crash investigation bureau were analysed using the AcciMap method. Contributory and protective factors, and relationships between both were identified via coding of the reports. The results indicate that considering protective factors support a richer picture of incidents and provide support for the common cause hypothesis as measured by similar mean factor volume and sociotechnical levels for both contributory and protective factors. However, the findings also show the direction of relationships among protective and contributory factors may be indicative of a difference among adverse outcomes, near misses, and normal work. Future research should consider how a network of relationships may impact on the common contributory and protective factors found in near misses.


Assuntos
Acidentes Aeronáuticos/estatística & dados numéricos , Aeronaves , Ergonomia , Gestão de Riscos/estatística & dados numéricos , Análise de Sistemas , Humanos
2.
Ergonomics ; 63(2): 210-224, 2020 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-31738666

RESUMO

The validity of methods is an ongoing issue in ergonomics. Inconsistent definitions and approaches to evaluation exacerbate this challenge. In this study, the construct and criterion-referenced validity of a new near miss reporting form was evaluated to determine the extent to which it comprehensively captures near miss incidents and is aligned with the systems thinking approach to accident causation. Interview data were used as the reference standard in the evaluation. Using signal detection theory (SDT), a high average hit rate (HR), predictive value (PV) and sensitivity index (SI) were found, with an almost perfect ranking for the index of concordance. The findings show that the reporting form has strong construct and criterion-referenced validity. It is proposed that the approach used in this study could be used by researchers and practitioners when testing the validity of incident data collection tools. Practitioner summary: The validity of methods is a key issue in ergonomics. In this study, we test the validity of a near miss reporting form using interview data as a standard. This approach could be used by practitioners when testing the validity of other ergonomics methods.


Assuntos
Ergonomia , Near Miss , Gestão de Riscos/normas , Adulto , Feminino , Humanos , Masculino , Pessoa de Meia-Idade
3.
Ergonomics ; 62(2): 192-203, 2019 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-29757710

RESUMO

Learning from successful safety outcomes, or what went right, is an important emerging component of maintaining safe systems. Accordingly, there are increasing calls to study normal performance in near misses as a part of safety management activities. Despite this, there is limited guidance on how to accomplish this in practice. This article presents a study in which using Rasmussen's risk management framework to analyse 16 serious incidents from the aviation domain. The findings show that a network of protective factors prevents accidents with factors identified across the sociotechnical system. These protective networks share many properties with those identified in accidents. The article demonstrates that is possible to identify these networks of protective factors from incident investigation reports. The theoretical implications of these results and future research opportunities are discussed. Practitioner Statement: The analysis of near misses is an important part of safety management activities. This article demonstrates that Rasmussen?s risk management framework can be used to identify networks of protective factors which prevent accidents. Safety practitioners can use the framework described to discover and support the system-wide networks of protective factors.


Assuntos
Acidentes Aeronáuticos/estatística & dados numéricos , Aviação/estatística & dados numéricos , Erros Médicos/estatística & dados numéricos , Gestão de Riscos/métodos , Análise de Sistemas , Acidentes Aeronáuticos/prevenção & controle , Humanos , Erros Médicos/prevenção & controle , Fatores de Proteção
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