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Results: Implementation

Not applicable.

Intermediate OHS Outcomes

Final OHS Outcomes

Effect estimates: Regression coefficients for (1) internal control index; and (2) Internal control status rated by manager: Satisfaction with HES activities at garage: 0.16***; 0.15***. Satisfaction with physical working environment: 0.079*; 0.11***. Satisfaction with psychosocial working environment: 0.044; 0.086**. Psychological job demands: -0.027; 0.011. Decision authority: -0.018; 0.000. Social support: 0.074*; 0.12***. HES-related management support: 0.097**; 0.087**. Health-related support and control: 0.082**; 0.11***. Workers’ participation in HES-related activities: 0.071*; 0.13***. (* p=<0.05; **p=<0.01; ***p=<0.001). The results of the multiple regression analysis showed that the IC index based on the 16 items was significantly correlated with 6 of the 9 intermediate OHS variables; these significant correlations all indicated that the IC had positive effects on these outcomes. Higher levels of correlation were obtained in the regression analysis with IC status as rated by managers (7 of 9 were statistically significant). Effect estimates: Employees at garages rated by their manager as having a higher level of IC reported significantly fewer musculoskeletal symptoms (p<0.01). No significant relationship between either of the IC measures and sick leave were found. Standardized regression coefficients for (1) internal control index; and (2) Internal control status rated by manager: Musculoskeletal symptoms: -0.026; -0.076**. Sick leave in last 30 days: -0.048; - 0.013.

Cost of Intervention Economic Outcomes Facilitators/ Barriers

Not applicable

Not applicable

Not applicable

Did the Design Lack Statistical Power? No. Sample size resulted in adequate statistical power. Were Any Harms of the Intervention Identified?

No. IWH Reviewers’ Comments:

This is a correlation study of the degree of implementation of internal control regulations for health and safety and intermediate and final OHS outcomes. The authors point out that conclusions about causality are not possible because of the cross sectional design. We note some sources of potential bias, e.g., selection bias, (low response rate); social desirability bias (exclusive use of self-report measures).

Institute for Work & Health


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