Healthcare consumption after a change in health insurance coverage: a French quasi-natural experiment

Health Economics Review

Table 2 Characteristics of insurees in the year of change^a

	Before EM				After EM
	Total N = 85,541	Level of coverage			Total N = 1746	Level of coverage
	Total N = 85,541	BC n = 84,668	EC n = 873	p	Total N = 1746	BC n = 873	EC n = 873	p
Variable
Female	49.0%	48.9%	54.2%	.002	54.2%	54.2%	54.2%	1.000
Age	40.6	40.5	48.9	<.001	48.9	48.8	48.9	.904
Living in couple	30.6%	30.5%	37.5%	<.001	37.5%	37.5%	37.5%	1.000
Any dependent child	18.2%	18.3%	14.0%	.001	14.0%	14.0%	14.0%	1.000
Dependent spouse	1.4%	1.3%	3.0%	<.001	2.7%	2.4%	3.0%	.460
Employed	70.1%	70.2%	64.3%	<.001	63.6%	62.9%	64.3%	.559
Any specialised care	38.5%	38.3%	62.8%	<.001	62.8%	62.8%	62.8%	1.000
Any hospital care	18.7%	18.6%	30.0%	<.001	30.0%	30.0%	30.0%	1.000
Urban location	86.2%	86.2%	85.0%	.313	84.7%	84.3%	85.0%	.692
Density of GPs^b	104.0	103.9	107.2	.172	104.9	102.7	107.2	.147
Density of medical specialists^b	87.5	87.5	90.0	.461	88.1	86.1	90.0	.408

Descriptive statistics include means for continuous variables and proportions for categorical variables. Statistical comparisons were performed between groups using Student’s t-test for means and the z-test for proportions. ^a For the BC controls, the date considered corresponds to the date of change in the EC pairs. ^b Per 100,000 inhabitants. A p-value less than 0.05 (in bold) indicates a significant difference between groups. EM: exact matching; BC: basic coverage; EC: extended coverage

ISSN: 2191-1991