TABLE 2.

Mixed-Effects Logistic Regression of Short-Acting Method Stock-Out at Urban/Suburban SDPs, by Country

	India		Burkina Faso		Democratic Republic of the Congo		Kenya		Nigeria
	aOR	P Value	aOR	P Value	aOR	P Value	aOR	P Value	aOR	P Value
Round	0.72^a	.000^a	0.85	.065	1.15^a	.036^a	0.65^a	.000^a	1.71^a	.000^a
Round ^2							1.05^a	.003^a	0.92^a	.000^a
Management authority
Public	1.00	–	1.00	–	1.00	–	1.00	–	1.00	–
Private	0.10^a	.000^a	2.90^a	.016^a	0.31^a	0.022^a	0.58^a	.001^a	1.86^a	.003^a
Facility quality measure
Low	1.00	–	1.00	–	1.00	–	1.00	–	1.00	–
Medium	2.63	.007^a	1.07	0.873	2.46^a	.002^a	1.15	.385	1.78^a	.001^a
High	5.42	.006^a	3.23^a	.016^a	6.20^a	.000^a	0.67^a	.036^a	1.54^a	.043^a
Advanced facility
No	1.00	–	1.00	–	1.00	–	1.00	–	1.00	–
Yes	0.30^a	.049^a	3.68^a	.005^a	0.15^a	.001^a	2.14^a	.000^a	0.85	.516
Lagged client volume	2.52^a	.033^a	1.73	.215	1.22	.434	0.97	.823	1.09	.527
Models diagnostics
Number of observations	1,847		742		742		3,162		3,207
Number of groups	334		168		167		539		561
Wald chi2(6)	58.8		21.86		34.84		97.20		35.8
P value	.000		.001		.000		.000		.000