A preliminary validation of a new measure of occupational health and safety

Cadieux, Jean; Roy, Monique; Desmarais, Lise

doi:10.1016/j.jsr.2006.04.008

Cited by 36 publications

(23 citation statements)

References 6 publications

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“…Detailed scales were able to be extracted from 58 articles (26 covering level of hazards; 28 covering organizational policies and procedures; 19 covering worker awareness; and 29 covering empowerment). Additional measures were also included from the following documents not identified in the original literature search: WorkSafe Victoria's Hazard Exposure Surveillance Survey (WorkSafe Victoria, 2012); WorkSafe Victoria's Worker's Perception of Safety and Future Improvements Survey (WorkSafe Victoria, 2013); The European Agency for Safety and Health and Work's measure of worker participation in OH&S (European Agency for Safety and Health at Work, 2012); The OH&S Self-Diagnosis Questionnaire (Cadieux et al, 2006); The Survey of Perceived Organisational Support (Eisenberger et al, 1986); the Team Learning Questionnaire (Martinez-Corcoles et al, 2012); Safety Voice Turner, 2011, 2014); and the Organizational Performance Metric (Institute for Work & Health, 2011).…”

Section: Literature Searchmentioning

confidence: 99%

The development of a conceptual model and self-reported measure of occupational health and safety vulnerability

Smith

Saunders

Lifshen

et al. 2015

Accident Analysis & Prevention

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Injuries at work have a substantial economic and societal burden. Often groups of labour market participants, such as young workers, recent immigrants or temporary workers are labelled as being "vulnerable" to work injury. However, defining groups in this way does little to enable a better understanding of the broader factors that place workers at increased risk of injury. In this paper we describe the development of a new measure of occupational health and safety (OH&S) vulnerability. The purpose of this measure was to allow the identification of workers at increased risk of injury, and to enable the monitoring and surveillance of OH&S vulnerability in the labour market. The development included a systematic literature search, and conducting focus groups with a variety of stakeholder groups, to generate a pool of potential items, followed by a series of steps to reduce these items to a more manageable pool. The final measure is 29-item instrument that captures information on four related, but distinct dimensions, thought to be associated with increased risk of injury. These dimensions are: hazard exposure; occupational health and safety policies and procedures; OH&S awareness; and empowerment to participate in injury prevention. In a large sample of employees in Ontario and British Columbia the final measure displayed minimal missing responses, reasonably good distributions across response categories, and strong factorial validity. This new measure of OH&S vulnerability can identify workers who are at risk of injury and provide information on the dimensions of work that may increase this risk. This measurement could be undertaken at one point in time to compare vulnerability across groups, or be undertaken at multiple time points to examine changes in dimensions of OH&S vulnerability, for example, in response to a primary prevention intervention.

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Section: Literature Searchmentioning

confidence: 99%

The development of a conceptual model and self-reported measure of occupational health and safety vulnerability

Smith

Saunders

Lifshen

et al. 2015

Accident Analysis & Prevention

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“…There has been a substantial increase in occupational health and safety (OHS) research in recent years (e.g., Cadieux, Roy, & Desmarais, 2006;Salminen, Kivimaki, Elovainio, & Vahtera, 2003), and there is a growing body of evidence documenting burnout's deleterious effects on quality of care and physical health. Much of this research has focused on healthcare workers, and has identifi ed the various predictors of employee health and strain (e.g., Aasa, Brulin, Angquiest, & Barnekow-Bergkvist, 2005).…”

Section: Les Professionnels De La Santé Qui Travaillent Dans Les Aviomentioning

confidence: 99%

Workplace risks and stressors as predictors of burnout: The moderating impact of job control and team efficacy

Day¹,

Sibley

Scott³

et al. 2009

Can J Adm Sci

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Air medical healthcare (AMH) professionals care for critically‐ill individuals while conveying them to healthcare centres from distant, and frequently dangerous, locations. AMH professionals experience additional health and safety issues beyond the “typical” stressors faced by other healthcare professionals. Therefore, we integrated the safety and psychosocial health literatures to examine the relationship between workplace stressors (risk perception, worries, and patient‐care barriers) and two components of burnout (emotional exhaustion; depersonalization), and the moderating impact of job control and team efficacy for 106 Canadian AMH professionals. Worries over medical hassles and barriers to patient care uniquely predicted emotional exhaustion. Lack of perceived control over one's job was related to exhaustion and depersonalization after controlling for stressors. Job control and team efficacy buffered some of the stressor‐burnout relationships. Copyright © 2009 ASAC. Published by John Wiley & Sons, Ltd.

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“…PLS has been used in injury research but not for risk assessment purposes in all cases. Cadieux used PLS to investigate validation of an instrument designed to conduct an Occupational Health and Safety (OHS) self-diagnosis, using workers' observations of tangible facts and actions in the workplace (Cadieux et al, 2006). PLS has also been used in injury risk assessment (Eriksson et al, 2009a;Sowa et al, 2006a), however, it has not turned into a popular method in injury epidemiology while older latent variable based methods have been used more than PLS.…”

Section: Discussionmentioning

confidence: 99%

“…Supervised statistical modeling techniques like PLS and OPLS can be a good option to increase power as well as statistical validity in managing multivariate situations in injury epidemiology and possibly other similar fields of epidemiology. PLS has been used by only a few researchers in injury risk assessment until quite recently (Cadieux et al, 2006;Eriksson et al, 2009b;Sowa et al, 2006b) while application of the new OPLS-DA modeling technique is novel in the field of injury and public health epidemiology. In this article, we explain the PLS-DA and OPLS-DA statistical techniques and discuss the possibility of their application in injury risk assessment, combined with or as an alternative to classical statistical methods.…”

Section: Introductionmentioning

confidence: 99%

Compared application of the new OPLS-DA statistical model versus partial least squares regression to manage large numbers of variables in an injury case-control study

Sadeghi‐Bazargani¹,

Bangdiwala²,

Mohammad³

et al. 2011

Sci. Res. Essays

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The use of modern statistical methodology to overcome the known pitfalls of classical regression models in the analysis of large numbers of highly correlated data, has increased considerably in recent years. Statisticians in the field of chemometrics and OMICS research have developed a new method called Orthogonal projections to latent structures (OPLS). In comparison with the regular partial least squares (PLS) regression, OPLS provides a simpler method with the additional advantage that the orthogonal variation can be analyzed separately. Use of the OPLS model has spread to fields other than its origin but it is not yet applied to the field of epidemiology, which is a wide field of research. In public health and clinical research, there are situations in which large numbers of correlated variables need to be modeled. The authors successfully applied OPLS-DA to model large numbers of variables in a casecontrol study and compared it with discriminant analysis done by partial least squares regression. Prior to fitting the models, the dataset was split into two parts: a training set and a prediction set. Models fitted on the training dataset were later tested for validity in the prediction dataset. The OPLS-DA was compared with PLS-DA for model fitness, diagnostics and model interpretability. Both models suited the data but OPLS-DA was preferable. The authors encourage the use of these methods to increase study power and statistical validity in epidemiology and similar settings in which large numbers of correlated variables need to be modeled.

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A preliminary validation of a new measure of occupational health and safety

Cited by 36 publications

References 6 publications

The development of a conceptual model and self-reported measure of occupational health and safety vulnerability

The development of a conceptual model and self-reported measure of occupational health and safety vulnerability

Workplace risks and stressors as predictors of burnout: The moderating impact of job control and team efficacy

Compared application of the new OPLS-DA statistical model versus partial least squares regression to manage large numbers of variables in an injury case-control study

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