  Recent initiatives that overstate health insurance coverage for well-being
conflict with the recognized antagonistic facts identified by the determinants
of health that identify health care as an intermediate factor. By using a
network of controlled interdependences among multiple social resources
including health insurance, which we reconstructed from survey data of the U.S.
and Bayesian networks structure learning algorithms, we examined why health
insurance through coverage, which in most countries is the access gate to
health care, is just an intermediate factor of well-being. We used social
network analysis methods to explore the complex relationships involved at
general, specific and particular levels of the model. All levels provide
evidence that the intermediate role of health insurance relies in a strong
relationship to income and reproduces its unfair distribution. Some signals
about the most efficient type of health coverage emerged in our analyses.
