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. Author manuscript; available in PMC: 2015 Jul 16.
Published in final edited form as: Am J Ind Med. 2014 Sep 15;57(12):1398–1412. doi: 10.1002/ajim.22372

TABLE IV.

Regression Results to Estimate Differences Between the Workers’ Compensation Outcomes Pre- and Post-Intervention by Intervention Major Groups

Intervention major groupa Number of employersb (%) Claims per 100 FTEc, intervention effecte,h RR (95% CI) Cost per FTEd, intervention effectf,h RR (95% CI) Geometric mean cost per claimd, intervention effectg,h RR (95% CI)
Ergonomic 348 (74%) 0.31 (0.20, 0.48)* 0.17 (0.00, 0.29)* 0.73 (0.59, 0.91)*
Safety 38 (8%) 0.09 (0.02, 0.50)* 0.11 (0.10, 0.13)* 0.78 (0.44, 1.37)
Ventilation 8 (2%) 2.19 (0.86, 5.60) 3.53 (1.65, 5.16)* 2.64 (1.15, 6.08)*
Multiple-purpose 69 (15%) 0.24 (0.12, 0.49)* 0.12 (0.08, 0.15)* 0.52 (0.3, 0.88)*
a

Intervention type determined by consensus rating of two certified professional ergonomists based on case study reviews.

b

Number of employers in the claim rates analysis and percentage of total employers in parentheses. There were fewer employers in the cost analyses since employers who participated in programs that reduced the apparent cost of the claims by allowing employers to pay portions of the claims were excluded.

c

Total number of claims (medical-only and lost-time) per100 full-time equivalents (FTEs).

d

Paid 30-month nominal cost.

e

Poisson regression.

f

Two-part regression model- refer to Methods and Online Appendix.

g

Linear regression.

h

Model does not control for time trend independent of intervention.

*

Significant difference, P <.05.