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The adjusted outcome measures show a more consistent effect of the intervention, with odds ratios of 0.72 and 0.64, and are closer to the effect estimates of the study.
Except for the study of Anderson which mentioned an adjusted clinical outcome score; the ROM was not taken into account [ 11, 24].
We considered all covariates for the inclusion in the adjusted outcome models and applied a backward selection procedure, in which non-significant variables were deleted one by one until only variables significant at p < 0.05 were included.
The risk adjustment procedure involved construction of a severity measure ("a priori" risk) that was specific for the study population and the use of this measure to obtain "adjusted" outcome measures for comparison between hospitals/areas.
Adjusted outcome measures were tabulated where these were reported.
We used multivariate adjusted outcome data for our data analysis.
On these adjusted outcome categories successful outcomes in the UK increased from 77% to 88% [ 21].
Whenever possible, adjusted outcome data were used and/or hypoxic patients excluded.
For data analysis we used multivariate adjusted outcome data (expressed as relative risks and 95% confidence intervals).
Tables 3 and 4 show unadjusted and adjusted outcome comparisons between the intervention and control arms at six months and 12 months after randomisation respectively.
P value was <0.0001 for all unadjusted and adjusted outcomes.
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