Discrimination based on criminal record and healthcare utilization among men recently released from prison: a descriptive study

Table 2 Multivariable logistic regression models estimating the association between self-reported criminal record discrimination by healthcare workers and healthcare utilization

	Infrequent primary care utilization (N = 46)			Frequent ED utilization (N = 43)
	Model 1	Model 2	Model 3	Model 1	Model 2	Model 3
	Crude OR (95% CI)	AOR (95% CI)	AOR (95% CI)	Crude OR (95% CI)	AOR (95% CI)	AOR (95% CI)
Criminal record discrimination	1.3 (0.7–2.7)	2.1 (0.9–4.5)	1.6 (0.7–3.8)	3.0 (1.5–6.2)*	2.7 (1.2–5.8)*	2.7 (1.2–6.2)*
Age (years)	---	1.0 (0.9–1.0)	1.0 (0.9–1.0)	---	1.1 (1.0–1.1)	1.1 (1.0–1.1)
Race/ethnicity
Black	---	REF	REF	---	REF	REF
White	---	0.9 (0.3–3.2)	1.0 (0.3–3.4)	---	1.8 (0.6–5.3)	1.8 (0.6–5.4)
Other race	---	2.3 (0.9–5.6)	2.1 (0.8–5.3)	---	1.2 (0.4–3.5)	1.2 (0.4–3.4)
Uninsured	---	2.8 (1.3–5.9)*	2.9 (1.3–6.3)*	---	0.6 (0.3–1.2)	0.5 (0.2–1.1)
Correctional care during recent incarceration	---	0.4 (0.2–0.8)*	0.3 (0.1–0.6)*	---	1.2 (0.5–2.7)	1.2 (0.5–2.7)
Total days incarcerated (log)	---	1.0 (0.6–1.7)	1.0 (0.5–1.7)	---	0.8 (0.5–1.3)	0.7 (0.4–1.2)
Racial/ethnic discrimination	---	--	2.5 (1.1–5.8)*	---	---	1.2 (0.5–2.7)

AOR = Adjusted odds ratio; CI = Confidence interval.
*p < .05.
Model 2: Logistic regression models adjusted for age, race/ethnicity, insurance status, total time incarcerated (log) and correctional healthcare contact during recent incarceration.
Model 3: Adjusted for all Model 2 covariates plus self-reported racial/ethnic discrimination and interaction between criminal record and racial/ethnic discrimination.

ISSN: 2194-7899