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Final OHS Outcomes

Cost of Intervention Economic Outcomes

Facilitators/ Barriers

Effect estimates: The R2ed values are presented for the two regression models (absenteeism-focused and accident-focused). NOTE: These R2ed values represent how much variance explained by the ENTIRE model and NOT just the IC status variable. R2ed value of 1st Regression Model (focusing on absenteeism): 0.05. R2ed value of 2nd Regression Model (focusing on accidents) = 0.12.

  • -

    Point estimates are provided for the variables of interest to the review

    • (i.

      e., IC status as well as any significant predictors that are not the

direct interests of the review). Beta coefficients of 1st Regression Model (focusing on absenteeism): IC status = 0.09, HES result level prior to IC implementation = -0.19. Beta coefficients of 2nd Regression Model (focusing on accidents): IC status = 0.05, HES result level prior to IC implementation = -0.38.

Test statistics: : Test statistics (t values) are provided here for the variables of interest to the review (i.e., IC status) as well as any significant predictors that are not the direct interests of the review). T values for 1st Regression Model (focusing on absenteeism): IC status = 2.94, HES result level prior to IC implementation =-6.52. T values for 2nd Regression Model (focusing on accidents): IC status = 1.66, HES result level prior to IC implementation = -13.90. F-statistic for the 1st regression model: 10.2. F-statistic for 2nd regression model: 29.9.

Statistical hypothesis: Beta coefficients for all potential predictor variables (including IC status) will be zero. Variance explained by the models will be zero. P-value: P values are provided here for the variables of interest to the review (i.e., IC status) as well as any significant predictors that are not the direct interests of the review). In addition, the significance of the overall model is reported. P values for 1st Regression Model (focusing on absenteeism): IC status = less than 0.01, HES result level prior to IC implementation = less than 0.001, entire model = less than 0.001. P values for 2nd Regression Model (focusing on accidents): IC status = more than 0.05, HES result level prior to IC implementation = less than 0.001, entire model = less than 0.001.

Not applicable

Not applicable

Not applicable

Did the Design Lack Statistical Power?

No. 2092...if you assume you need 10 n per independent variable...still have plenty

Were Any Harms of the Intervention Identified? Not applicable. IWH Reviewers’ Comments:

An additional outcome was identified that did not fit in to any of the other type of evidence categories we currently have available (i.e., implementation, effectiveness, FB). This outcome was the integration of IC and TQM.

Effectiveness of Occupational Health & Safety Management Systems: A Systematic Review

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