Skip to main content
. Author manuscript; available in PMC: 2018 Dec 1.
Published in final edited form as: Med Care. 2017 Dec;55(12):1023–1029. doi: 10.1097/MLR.0000000000000821

Table 3.

Estimated effects of Medicaid coverage on recent smoking cessation among low-income adults without dependent children who reported being smokers, 2011–2015

Predicted probability of smoking cessation (95% CI)

Intervention Group: Comparison Group:
Full Sample Age 18–64 Years Age>65 years
Reside in state with no Medicaid coverage 6.0% (5.6, 6.4) 3.6% (2.4, 4.8)
Reside in state with Medicaid coverage 8.1% (6.6, 9.6) 3.4% (2.4, 4.8)
Difference 2.1 (0.25, 3.9) −0.1 (−2.1, 1.8)

Females
Reside in state with no Medicaid coverage 5.6% (4.9, 6.2) 3.3% (2.1, 4.5)
Reside in state with Medicaid coverage 7.5% (5.8, 9.3) 3.1% (2.1, 4.2)
Difference 1.9 (0.2, 3.9) −0.2 (−2.3,1.9)

Males
Reside in state with no Medicaid coverage 6.3% (5.6, 6.9) 3.8% (2.5, 5.2)
Reside in state with Medicaid coverage 8.4% (6.9, 10.0) 3.6% (2.5, 4.8)
Difference 2.2 (0.3, 4.0) −0.2 (−1.9, 1.7)

Note: From the BRFSS; includes 25,738 adults age 18–64 (weighted n = 15,148,712) and 10,345 adults age>65 years (weighted n = 3,344,793) with incomes <100% of the federal poverty level who reported being a current or former smoker. Smoking cessation defined as having quit smoking within the prior year, but not having smoked any cigarettes for at least one month. Average predicted probabilities are derived from logistic regression models including an interaction term between Medicaid coverage and intervention group indicator (age 18–64 years). Analyses control for sex, education, race, state, year, and state cigarette taxes and clean indoor air laws. Bold type indicates results that are statistically significant at the p<0.05 level.