According to power calculations, the amount of children needed was sufficient for this study.11 (link) Frequencies with percentages were used as descriptive statistics.
The association of the doctors’ interventions with the doctor-evaluated and parent-evaluated benefis of the health check were analysed using multilevel logistic regression to account for the clustered nature of the data. Four-level models with child at level one, school at level two, doctor at level three and city/municipality at level four were used and were adjusted for grade. ORs with 95% CIs were used to express the results. SAS V.9.4 System for Windows was utilised for multilevel modelling. Other analyses were conducted using IBM SPSS Statistics V.25.0 for Windows. P values less than 0.05 were regarded as statistically significant.
The association of the doctors’ interventions with the doctor-evaluated and parent-evaluated benefis of the health check were analysed using multilevel logistic regression to account for the clustered nature of the data. Four-level models with child at level one, school at level two, doctor at level three and city/municipality at level four were used and were adjusted for grade. ORs with 95% CIs were used to express the results. SAS V.9.4 System for Windows was utilised for multilevel modelling. Other analyses were conducted using IBM SPSS Statistics V.25.0 for Windows. P values less than 0.05 were regarded as statistically significant.
