Predictors of uterine rupture in a large sample of women in Senegal and Mali: cross-sectional analysis of QUARITE trial data

Table 2 Geographical & institutional characteristics for sample and by uterine rupture

		Total sample		No uterine rupture		Experienced uterine rupture ^{a, b}
		N = 84,924 (100%)		N = 84,233 (99.19%)		N = 569 (0.67%)
		n	%	n	%	n	%	p value
Geographical characteristics
Country	Senegal	45,687	53.80	45,338	99.24	278	0.61	0.018
Country	Mali	39,237	46.20	38,895	99.13	291	0.74
Hospital type	Capital	37,247	43.86	37,117	99.65	121	0.32	< 0.001
	Regional	29,211	34.40	28,835	98.71	293	1.01
	District	18,466	21.74	18,281	99.00	155	0.84
Location of residence	In town of hospital	72,339	85.18	71,867	99.35	433	0.60	< 0.001
	Outside town, same region	9550	11.25	9451	98.96	76	0.80
	Outside of region	2751	3.24	2683	97.53	56	2.04
Referral	Yes	21,028	24.76	20,526	97.61	424	2.02	< 0.001
Referral	No	63,871	75.21	63,689	99.72	144	0.23
Institutional characteristics
Blood bank	Yes	43,695	51.45	43,181	98.82	410	0.94	< 0.001
Blood bank	No	41,229	48.55	41,052	99.57	159	0.39
Adult intensive care	Yes	31,468	37.05	31,123	98.90	268	0.85	< 0.001
Adult intensive care	No	53,456	62.95	53,110	99.35	301	0.56
24-h a day anesthesiologist	Yes	45,742	53.86	45,417	99.29	275	0.60	< 0.001
24-h a day anesthesiologist	No	39,182	46.14	38,816	99.07	294	0.75
Obstetrician	Yes	73,744	86.84	73,190	99.25	457	0.62	< 0.001
Obstetrician	No	11,180	13.16	11,043	99.77	112	1.00

^aData on Uterine Rupture (yes/no) is missing for 122 women or 0.14% of the sample
^bMissing values (of those that experienced uterine rupture): Location of residence (n = 4), Referral (n = 1)

ISSN: 1471-2393