Data will be compared between intervention and control group.
Categorical baseline variables will be compared between intervention and control group using chi-square tests.
Mean scores of HADS, CaSUN, EPIC and PSQ-18 will be compared between intervention and usual care groups.
The registration of employment and use of code Z05 in the 6 months following the training will be compared between intervention and control group practices.
Baseline variables (e.g., demographics) will be compared between intervention groups using chi-square statistics and t-tests to determine if any group differences exist despite randomization.
The primary outcome of the change in VAS FFI pain subscale between baseline and 12 weeks will be compared between intervention groups using Analysis of Covariance adjusting for baseline pain score, centre and gender.
Socio-demographic data like age, sex, school type and net household income will be compared between intervention and control group in order to check if matching of families had been successful.
Primary and secondary outcome measures at 6 months and 12 months time frames will be compared between intervention and control groups adjusting for baseline values using an ordinal logistic regression model.
The proportion of patients with well-controlled HbA1C will be compared between intervention and control groups using a logistic regression model with fixed effects for intervention (yes/no), HbA1C control status at baseline (just before initiation of the intervention), and educators.
Analysis will provide a comprehensive depiction with the methods of descriptive statistics (a) on patient level, structured by regions and n/hs (b) aggregated on n/h level, structured by regions Both primary and secondary endpoints will be compared between intervention and control group by means of models with random effects.
