Table 1 Key modelling variables included in the economic evaluation
Parameters | Data source and assumptions |
|---|---|
Intervention effect SB-I arm: BMI z-score (-0.14 (95%UI -0.26:-0.03) MET minutes per week (125 (95% UI 65–190) PA-I arm: BMI z-score (-0.13 BMI-z (95%UI -0.24:-0.03) | Normal distribution, using evidence of effectiveness from Salmon et al. [14] Base case analysis assumes maintenance of effect over the lifetime. |
Total population estimates (population numbers, mortality rates, BMI distribution, PA levels) | |
Disease epidemiology, disability weights | Salomon et al. 2012 [36] |
Relative risks, total years of life lived with disability | Institute for Health Metrics and Evaluation [35] Murray et al. 2013 [40] |
Relative risks of PA-related diseases by risk categories | Zapata-Diomedi et al. 2016 [41] |
Disease healthcare costs | Australian Institute of Health and Welfare [42] |
Health Price Index | Australian Institute of Health and Welfare [43] |
Proportion of Grade 3 students in Government schools, Australia 2010 | Australian Bureau of Statistics [17] |
Number of children per class | Pert distribution* (min 10, most likely 23, max 30) using data from the Victorian Department of Education and Training [44] |
Teacher salary cost | Gamma distribution using data on mean teacher salaries obtained from the Victorian Department of Education and Early Childhood [45] |
Program Administrative and Support Services Officer cost, assumed for each Australian state and territory education department (n = 8) | Gamma distribution, ABS average weekly earnings Professional, Scientific and Technical Services full time adult average salary cost and 14% labour on-costs, from Government sources [46, 47] |
Equipment costs | Project invoices, pert distribution (+/- 10%) |