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To determine whether there were systematic differences in scores between instruments, we calculated for each health condition and overall HRQOL the mean score and its 95% confidence interval (CI) using each of the HRQOL instruments in both paediatric patients where possible, and in their caregivers.
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For each instrument we calculated the standard deviation and the optimal accuracy, we checked the significance of results by the analysis of variances with one variable factor.
Regarding the reliability of the instrument used, we calculated the intra-class coefficient (ICC) as an adjusted measure of agreement.
For comparing the performance of both instruments, we first calculated the probability of future care needs for the juveniles in the current validation sample on the basis of the different risk groups of the YO-CNAT.
If studies reported the same construct using different measurement instruments, we will calculate the standardised mean difference (SMD).
In order to assess the instrument's reliability we calculated Cronbach's alpha as an index of internal consistency.
Second, for the sensitivity and specificity of the screening instrument, employing the same methodology we calculated a pooled estimate from all studies described in Fiellin et al. [12].
When pooling across trials that report continuous outcomes using the same instrument, we will calculate the weighted mean difference (WMD), which maintains the original unit of measurement, with studies weighted by the inverse of their variance.
When pooling across studies reporting continuous endpoints that use the same instrument, we will calculate the weighted mean difference (WMD), which maintains the original unit of measurement and represents the average difference between groups.
The reliability of the measuring instruments was calculated by cronbach's alpha coefficient.
Pearson correlation coefficients between subdomains of the instruments were calculated.
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