ORCID Profile
0000-0002-2355-4239
Current Organisations
University of Newcastle Australia
,
Edinburgh Napier University
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Publisher: MDPI AG
Date: 10-02-2018
Publisher: Springer International Publishing
Date: 06-06-2020
Publisher: University of Porto
Date: 30-06-2019
DOI: 10.24840/2184-0954_003.002_0002
Abstract: A growing body of peer-reviewed studies demonstrate the importance of high-reliability organisations and collective mindfulness in improving healthcare safety. However, limited attention has been devoted to developing a common set of characteristics, dimensions, indicators and instruments for measuring collective mindfulness. This can limit its operationalisation and ability to benchmark. This protocol outlines the key procedures that will be used to conduct a scoping literature review, in order to summarise key definitions identify theoretical underpinnings, dimensions, measures and instruments and develop a theoretical model to advance research and practice. Specifically, a five-step process and the Preferred Reporting Instruments for Systematic and Meta-Analyses will be used to search, screen and select literature published in five electronic databases. Keywords will include a combination of ‘high-reliability organisations’, high-reliability theory’ with ‘health care’, ‘patient safety’, ‘medical errors’, ‘medical mistakes’, ‘medication error’. A double-blind process will be used for searching, screening and selection of abstracts and full-articles, and inter-observer agreement assessed using Cohen’s kappa.
Publisher: Springer International Publishing
Date: 26-06-2019
Publisher: MDPI AG
Date: 09-11-2020
Abstract: Construction activities involve a lot of risk as workers are exposed to a wide range of job hazards, such as working at height, moving vehicles, toxic substances, and confined spaces. The hazards related to a construction project are mostly unpredictable because construction projects move quickly due to project deadlines, and changing work environments. As a result of this, the industry accounts for one of the highest numbers of work-related claims, and the fourth highest incidence rate of serious claims in Australia. This research investigates how key safety management factors can measure the characteristics of high reliability organisations (HROs) in the construction industry in New South Wales Australia. To address the problem, a model is presented that can predict characteristics of HRO in construction (CHC). Using structural equation modeling (SEM), and confirmatory factor analysis (CFA), the model and measurement instruments are tested and validated from data collected from construction workers. The results identified the factors that effectively measure CHC, and the findings can also be used as a safety management strategy and will contribute to the body of knowledge in research.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Andrew Enya.