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Scores from each category of length of stay were not significantly different at baseline, indicating comparable pre-injury health status.
HRQoL scores from each category of length of stay were not significantly different at baseline, indicating comparable pre injury health status.
To assess construct validity repeated measures analysis of variance (rANOVA) was used to determine whether the PedsQL™ tool was able to discriminate between patients pre and post injury while investigating possible interaction by category of length of stay in hospital.
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We found an average increase of 3.0 points (SE 1.5, p=0.042) in IES per category of duration length of danger to life.
A longer duration of danger to life resulted in a 0.63 point (SE 0.31, p=0.044) higher score on SCL-SLE (sleep) per category of duration length.
Moreover, the relationship between pre and post injury scores was significantly different between categories of length of stay (F =31.13, p < .001), indicating that relationship between scores pre and post injury was modified by categories of length of stay.
Figure 1 shows Kaplan-Meier curves for the risk of death within 30 days of discharge for categories of length of stay (n=110 248).
A Kaplan-Meier curve is presented for different categories of length of stay with the outcome of death within 30 days of discharge.
There were also significant differences in total PedsQL scores between categories of length of stay in hospital at one month (F =113.05, p < .001).001
To account for multiple comparisons made when assessing the level of differences between categories of length of stay, the Bonferroni correction [ 41] was applied to the post-hoc analysis, and p-values were divided by the number of comparisons made.
The Bonferroni correction [ 23] was applied to the post-hoc analysis in order to account for multiple comparisons made when assessing the level of differences between categories of length of stay.
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