Table 3.

Associations of payer status and patient sex with disposition among depression emergency department visits.

Subset Analyses	With Concurrent Injury		No Injury, With SI		Without Injury, without SI
	OR	95%CI	OR	95% CI	OR	95% CI
Any Insurance	1.39**	[1.29–1.51]	1.59**	[1.31–1.92]	1.81**	[1.65–1.99]
Any Medicare	1.04	[1.00–1.09]	1	[0.92–1.09]	0.98	[0.93–1.03]
Any Private Insurance	1.20**	[1.13–1.27]	1.23**	[1.08–1.41]	1.05	[0.97–1.14]
Any Medicaid	0.95	[0.89–1.01]	0.97	[0.85–1.10]	0.87**	[0.80–0.94]
Female	0.90**	[0.89–0.92]	1.13**	[1.09–1.17]	1.00	[0.98–1.02]
N	1,494,646		286,904		1,655,090
Combined Cohort
	OR	95%CI
Any Insurance	1.81**	[1.69–1.94]
Risk Category
With SI	1.87**	[1.61–2.16]
With Injury	1.83**	[1.69–1.97]
Interactions
Any Insurance*With SI	0.96	[0.83–1.10]
Any Insurance*With Injury	0.76**	[0.71–0.81]
Female	0.97**	[0.95–0.98]
N	3,436,640

Four logistic regressions with outcome variable indicator of admission. The three models given by the first line are subset analyses stratified by risk. The bottom analysis reports interactions between level of risk and any insurance in the cohort that combines these subsets. Private=private insurance. Any Medicare, Any Private and Any Medicaid are not mutually exclusive categories reflective of both primary and secondary expected payers, nested within Any Insurance. The odds ratios for Any Insurance reflects a ratio of odds between those with insurance and those with no insurance. The odds ratios for the three nested insurance subgroups reflect a ratio of odds comparing payers among those with any insurance. All regressions include 10-year age group, indicator for visit year, and 31-category Elixhauser comorbidity. The year 2015 is excluded due to poor match due to ICD-9 to ICD-10 transition. Each regression contains an indicator for any insurance with nested indicators for insurance subtype.

^**indicates that the Wald statistic is significant at the 0.01 level.