https://www.selleckchem.com/pr....oducts/crenolanib-cp
The decomposition analysis revealed that economic status (males=50.58%, females=37.42%) was the main contributor to the observed inequality. Location of residence, health insurance and education were other main driver of these inequalities. Different factors have different contribution to socioeconomic-related inequality in utilization of outpatient health care services and these could be diversified considering gender. Hence, it seems that policy makers could be able to address these inequalities effectively through gender
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