PMC full text: | Published online 2018 Sep 10. doi: 10.1136/bmjopen-2017-021358
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Table 3
Definition | Statistical method | |
Primary outcome | ||
Number of recurrences of spinal pain (3–27 months follow-up). | (1) A positive answer on the weekly text message for spinal pain (2) minimum of 1 week without report of spinal pain prior to the recurrence. | A hierarchical negative binomial regression model was used. Intervention effects were expressed as incidence rate ratio. |
Secondary outcomes | ||
Average duration of spinal pain episodes. | The number of consecutive weeks the child was affected by spinal pain (response option ‘1’). | A mixed-effects linear regression model with subject as random effect, outcome log transformed was used. Intervention effects were expressed as the difference in median length. |
Total duration of complaint time in relation to individual follow-up time. | Total number of weeks a child was affected by spinal pain (response option ‘1’) in the entire follow-up period. | A hierarchical negative binomial regression model was used. Intervention effects were expressed as incidence rate ratio. |
Global Perceived Effect after 2 weeks. | Dichotomised into two groups: ‘Much better’ and ‘The same or worse’. | A logistic regression model was used. Intervention effects were expressed as ORs. |
Change in pain intensity after 2 weeks. | Rated on an 11-point Numerical Rating Scale with ‘0’ being ‘no pain’ and ‘10’ being ‘worst pain’. | A linear regression model was used. Intervention effects were expressed as the difference in mean length. |