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Table 4 Target trial characteristics for ROBINS-I risk of bias

From: Assessing the causal relationship between income inequality and mortality and self-rated health: protocol for systematic review and meta-analysis

Exposure

Area (any size, type, population size) with income inequality

Comparator

Comparable area size, type, population size with low-income inequality

Outcome

Health outcomes (mortality, self-rated health)

Confounding variables

Individual income

Socioeconomic position

Co-exposures

Tax system

Strength of organized labour

Universal healthcare

Mediators

Psychosocial factors

Factors that may undermine transportability/ explain statistical heterogeneity (based partly on [3, 13]).

• Gini vs non-Gini coefficient measure for income inequality

• Time lag between exposure and outcome measurement

• US vs non-US studies

• Within country vs between country comparisons

• Area type, size, and population size

• Relative income inequality (e.g. Gini above vs below threshold)

• Area level income

• Education