Table 2.

Adjusted Odds Ratios for Tobacco Cessation Assistance, Primary Care Utilization, and Quit Status Over 24 Months Comparing Patients in Medicaid Expansion vs. Non-expansion States

Outcome	Expansion group	Odds ratio	95% CI	p-value
Quit attempt
	Non-expansion	Ref
	Expansion	1.35	1.28–1.43	<.001
Tobacco cessation medication ordered
	Non-expansion	Ref
	Expansion	1.53	1.44–1.62	<.001
Had ≥6 follow-up visits
	Non-expansion	Ref
	Expansion	1.34	1.28–1.41	<.001

CI = confidence interval. Using the PS-matched sample, we computed adjusted odds ratios (aOR) of quitting tobacco use, having a cessation medication ordered, and having ≥6 follow-up visits using logistic generalized estimating equation (GEE) regression models to control for imbalanced covariates and to account for the clustering of patients within community health centers (CHCs). Covariates included in the matching procedure included: sex, age at baseline, insurance status at baseline, race/ethnicity, federal poverty level (FPL) % (indicator for being above or below 138%), urbanicity of residence, diabetes diagnosis, CHD diagnosis, hypertension diagnosis, lipid disorder diagnosis, COPD/asthma diagnosis, number of conditions, psychiatric disorders, and substance abuse disorders.