To examine the association between ACA knowledge and HIL, we conducted binary logistic regressions controlling for individu- al-level variables associated with ACA knowledge. Table 5 (HILM Scale 1) and 6 (HILM Scale 2) report the results with odds ratios (OR) and 95% confidence intervals (CI). After controlling for individual-level variables potentially associated with ACA knowl- edge, logistic regression analyses revealed that higher levels of health insurance literacy, as measured by HILM (Scales 1 and 2), were associated with decreased odds of no or little ACA knowledge. Scale 1 (confidence choosing insurance) demonstrated a higher level of significance relative to Scale 2 (comparing health plans), <0.001 versus 0.058, respectively. Income was also associated with ACA awareness. Participants who reported annual household incomes below $20,000 were twice as likely to have no or little knowledge of the ACA. A diabetes diagnosis was also a significant variable. Participants with a diabetes diagnosis were half as likely to have no or ACA knowledge. When including Scale 2 (comparing health plans) of the HILM in the model (Table 6), being female was also related to no or little ACA knowledge.
Given the area’s sociodemographic profile, there is a possibility that some of OLS attendees are not U.S. citizens and, therefore, not eligible for purchasing health insurance under the ACA. As a consequence, this group may not be interested in knowing about the ACA. To rule out that possibility, we repeated the analyses for the sub-sample that was U.S.-born (Panel B of Tables 5 and 6), being fully aware that many of those who are foreign-born may still be citizens. The association between ACA knowledge and Scale 1 of HIL continued to retain significance
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