Where relevant, health states were assigned lost productive time, job turnover, and health service use costs, and a utility value consistent with a depression diagnosis and treatment status. The number of people and the amount of time they spent in each health state determined the aggregate costs and health outcomes at the conclusion of the model. Costs and health outcomes were considered from the Sibiricose-A5 societal perspective over 1-year, and extended to a 5-year time horizon to produce results relevant to employers�� decision-making time frames i.e. those interested in improving outcomes for their current employees. This weight is considered an indication of how many population units are represented by the sample unit. ABS Crotaline household surveys are calibrated to population benchmarks by state, part of state, age and sex. Initial person weights were simultaneously calibrated to population benchmarks for state by part of state, age, sex, state by household composition, state by educational attainment, and state by labour force status. The NSMHWB provided the major depression diagnosis used to distribute the cohort among health states, and the reported depression-specific disability days used to determine distribution between absenteeism and presenteeism scenarios. The probability of being in each of the health states for a hypothetical white or blue collar worker reporting absenteeism are presented in Table S2, initial probabilities for white and blue collar workers reporting presenteeism are presented in Table S3.. Models only included individuals with depression, as determined by current 12-month symptoms or any lifetime experience. Individuals were defined as ��depressed�� if they reported 12-month depression symptoms, or ��recovered�� if they reported lifetime depression without 12-month symptoms. ��In treatment�� referred to self-reported contact with a health professional for a mental health problem any time in the last 12-months. Individuals started the simulation process in a ��depressed�� or a ��recovered�� state.Transition probabilities were derived from relevant secondary sources, applied in each successive 3-month cycle, and governed the cohort��s movement between health states over time.