Table 3.

Logistic Regression Models Examining the Odds That a Practice Accepts Medicaid Given NP Presence in a Practice and 100% NP Medicaid Reimbursement.

	NP presence in a practice and 100% NP Medicaid reimbursement main effects		Interaction model with main effects
	Odds ratio	95% CI	Odds ratio	95% CI
NP present in practice	1.17***	[1.14, 1.20]	1.10***	[1.06, 1.14]
100% NP Medicaid  reimbursement	1.13***	[1.11, 1.15]	1.11***	[1.09, 1.13]
NP present in practice  × 100% NP Medicaid  reimbursement	—	—	1.12***	[1.06, 1.18]
Full SOP	1.24***	[1.20, 1.28]	1.24***	[1.20, 1.28]
Primary care	0.77***	[0.76, 0.78]	0.77***	[0.76, 0.78]
Practice size
1-3	0.28***	[0.27, 0.29]	0.28***	[0.27, 0.29]
4-9	0.45***	[0.43, 0.48]	0.45***	[0.43, 0.48]
≥10 (ref.)	1	—	1	—
% Population in poverty	1.05***	[1.04, 1.05]	1.05***	[1.04, 1.05]
Rural location	3.63***	[3.42, 3.87]	3.64***	[3.42, 3.87]
N	252,657		252,657

Note. NP = nurse practitioner; CI = confidence interval; SOP = scope of practice. Primary care was established based on the presence of at least two-third primary care physicians in a practice. Primary care physicians included the following: adolescent medicine, family practice, general practitioner, geriatrician, internist, and pediatrician. Practice size was calculated as the number of physicians, nurse practitioners, and physician assistants in each practice. Rural location was established using core-based statistical area (Office of Management and Budget).

^***p < .001.