Does overcrowding and health insurance type impact patient outcomes in emergency departments?

Health Economics Review

Table 8 Regression results - overcrowding as IV

	Probit	IV Probit	OLS	2SLS
Time before Dr.	0.011403 ***	0.019043 **	0.015416 ***	0.022015 ***
	0.001101	0.008156	0.001871	0.006755
Private Ins.	-0.013445 ***	-0.014009 ***	-0.013687 ***	-0.013342 ***
	0.001696	0.002031	0.001949	0.001945
Medicare	-0.007951 **	-0.008128 **	-0.010053 ***	-0.009675 ***
	0.002317	0.002546	0.002916	0.002916
No Insurance	0.003865 *	0.004258 *	0.005153 *	0.005292 *
	0.002496	0.002672	0.003225	0.003224
Black	0.008312 **	0.008498 *	0.008167 *	0.007976 *
	0.004660	0.004881	0.004255	0.004250
Hispanic	-0.004074	-0.004749	-0.004616	-0.005049
	0.003497	0.003755	0.003763	0.003780
White	0.001080	0.001027	0.000757	0.000659
	0.003697	0.003907	0.003836	0.003837
Male	0.009814 ***	0.010705 ***	0.010111 ***	0.010428 ***
	0.001649	0.002134	0.001659	0.001732
Primary Dr.	-0.003180 *	-0.003599 *	-0.003446 *	-0.003633 *
	0.001760	0.001889	0.001934	0.001922
Age	-0.000032	-0.000007	0.000004	0.000029
	0.000047	0.000056	0.000042	0.000050
High Acuity	0.072523 ***	0.081609 ***	0.058099 **	0.060079 ***
	0.022305	0.024797	0.018541	0.018440
Wald χ ²	307.05	215.89		178.85
F			19.58

*, ** and *** indicate a 1%, 5% and 10% significance level. Standard errors are robust. The complete sample for reported regressions has 31,359 patients.

ISSN: 2191-1991