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Table 1 Mechanistic assumptions and their application to social determinants of healtha

From: Blending integrated knowledge translation with global health governance: an approach for advancing action on a wicked problem

Assumption

Description

How the assumption circumvents complexity of health inequities

Reductionism

Assumes the whole system can be understood by identifying, describing and analysing all of its constituent parts

Breaks social determinants of health into separate, distinct factors (rather than a set of complex intersecting factors)

Draws attention to symptoms or expressions of root causes that are more immediately visible (e.g. considering ‘race’ a determinant of health instead of ‘racism’)

Linearity

Assumes that (1) output changes proportionally with input, and (2) the effect of combined inputs can be understood and predicted by dissecting the input–output relationships of individual components, or a direct summative and predictive cumulation of constituent parts

Simplifies interconnectedness

Justifies use of proxy indicators that reflect symptoms rather than causes of health inequities (e.g. monitoring maternal and child mortality rates as indicators of equity)

Hierarchy

Assumes central power and control, which diffuses systematically from proximal to more distal parts

Places responsibility for acting on health within individuals or groups, rather than society

Legitimises a focus on health damaging behaviours rather than health damaging conditions, systems or structures

  1. aAdapted from Jayasinghe, 2011 [20]