Geographic Variations of Stroke Hospitalization across France: A Diachronic Cluster Analysis

Table 1

Comparison of persistent high-rate clusters with persistent low-rate clusters and transitional clusters.

		Persistent clusters			Transitioned clusters
		High-rate	Low-rate	P value	Into High-rate	P value	Out of High-rate	P value	Into Low-rate	P value
	Number of clusters	177	841		126		189		200
	Number of patients, 2009/10	3850	56978	<,0001	2921	<,0001	3900	<,0001	8103	<,0001
	Number of patients, 2012/13	4042	61433	<,0001	3111	<,0001	4019	<,0001	8068	<,0001
Urban/Rural	Rural	78%	17%	<,0001	77%	0,7409	83%	0,1854	44,2%	<,0001
	Urban	22%	83%	<,0001	23%	0,7409	17%	0,1854	55,8%	<,0001
Among urban unit	City center	7%	7%	0,7123	7%	0,9383	4%	0,1949	7,6%	0,8393
	Suburb	10%	70%	<,0001	13%	0,5279	9%	0,7430	42,1%	<,0001
	Isolated city	4%	6%	0,2051	3%	0,5641	4%	0,8287	6,1%	0,3886
Healthcare	Admission to SU	29,5%	40,5%	<,0001	35,3%	0,0281	30,3%	0,7554	35,9	0,0061
	Nearest SU (min)	55,3	17,1	<,0001	49,1	<,0001	61,1	<,0001	31,6	<,0001
	Admission distance (min)	42,4	29,3	<,0001	41,0	0,6572	48,8	0,0217	34,4	0,0035
Stay output	Home	46,4%	53,0%	<,0001	51,5%	0,0019	47,4%	0,5113	51,0%	0,0015
	Death	15,3%	13,9%	<,0001	15,4%	0,9269	17,4%	0,0361	16,1%	0,4009
	Mutation	10,7%	8,2%	0,0017	8,9%	0,1036	10,0%	0,5094	9,4%	0,1790
	Transfer	27,6%	24,9%	0,0105	24,3%	0,0270	25,2%	0,0767	23,5%	0,0027
	GP accessibility 2013	48,9	62,7	<,0001	47,9	0,6575	45,9	0,1710	62,2	0,0256
Socioeconomic	FDep index	31,1%	11,1%	<,0001	30,2%	0,0490	26,5%	<,0001	14,0%	<,0001