Table 4.

Adjusted marginal effects or betas and 95% confidence intervals (CI) for the relationship between insurance disruption and clinic/hospital service use or health status^*†

	Probit/regression		Instrumental variable analysis
Variable	dy/dx	95 % CI	dy/dx	95% CI
Clinic/hospital use in past 12 months
Saw doctor in clinic	−0.003	(−0.05, 0.05)	0.11	(−0.64, 0.22)
Stayed in hospital 1+ days	−0.03	(−0.08, 0.03)	−0.26	(−0.29, −0.19)
Went to ER for medical treatment	−0.02	(−0.09, 0.05)	0.52	(−0.29, 0.7)
Outpatient surgery	0.03	(−0.05, 0.12)	0.45	(−0.25, 0.73)
Chiropractor	−0.02	(−0.1, 0.06)	0.53	(−0.26, 0.7)
Saw dentist/oral surgeon	0.01	(−0.06, 0.08)	0.07	(−0.67, 0.25)
Health status
Fair/poor health	−0.004	(−0.04, 0.04)	−0.13	(−0.23, 0.18)
HUI summary score†	0.01	(−0.02, 0.05)	0.04	(−0.07, 0.15)
SF-12 Physical†	1.66	(−0.25, 3.57)	3.64	(−1.92, 9.19)
SF-12 Mental†	−0.24	(−1.6, 1.12)	−9.06	(−11.03, −7.09)

^*Items in bold are statistically significant at the p<0.05 significance level

^†Represents beta coefficient from linear regression analysis