Table 3.

Adjusted associations between participation in TCN and criminal justice contact and preventable healthcare utilisation*

	Criminal justice contact				Preventable acute care visits
	Incarceration	Rearrest	Convictions		Inpatient episodes	Inpatient days	ED episodes
Zero inflation component†: OR (95% CI)
TCN patients (ref=controls)	0.69 (0.36 to 1.32)	0.84 (0.18 to 3.94)	–	–	0.41 (0.15 to 1.19)	0.48 (0.36 to 1.32)	0.65 (0.21 to 1.99)
Hospitalisation days	1.00 (0.98 to 1.02)	0.98 (0.96 to 1.01)	–	–	–	–	1.01 (0.97 to 1.01)
Incarceration days	–	1.00 (0.99 to 1.01)	–	–	1.00 (1.00 to 1.01)	1.00 (1.00 to 1.01)	1.01 (1.01 to 1.02)
Count component: IRR (95% CI)
TCN patients (ref=controls)	0.55 (0.35 to 0.84)	1.86 (0.77 to 4.35)	–	–	0.46 (0.24 to 0.89)	0.41 (0.35 to 0.8)	0.65 (0.33 to 1.29)
Hospitalisation days	2.71 (2.66 to 2.77)	1.01 (0.99 to 1.02)	–	–	–	–	1.01 (1.01 to 1.02)
Incarceration days	–	1.01 (1.00 to 1.02)	–	–	1.01 (1.00 to 1.01)	1.01 (1.00 to 1.01)	1.01 (1.00 to 1.01)
Logistic regression, OR (95% CI)			Parole violation	New conviction
TCN patients (ref=controls)	–		0.38 (0.16 to 0.93)	0.35 (0.09 to 1.42)
Hospitalisation days	–		1.00 (1.00 to 1.03)	1.00 (1.00 to 1.03)
Incarceration days	–		1.01 (1.00 to 1.01)	1.01 (1.00 to 1.01)

The zero inflation component predicts the probability of the experimental group NOT having the outcome; an OR >1 reflects a lower likelihood of the outcome (incarceration, arrests, hospitalisations, ED visits) occurring in the experimental group. The count component predicts the number of days incarcerated or hospitalised.

*All models are adjusted for the time at risk for the potential outcome. So hospitalisation days’ analyses are adjusted for time incarcerated, and incarceration days’ analyses are adjusted for time hospitalised.

†Logistic regression model estimates.

ED, emergency department; IRR, incidence risk ratio; ref, reference group; TCN, Transitions Clinic Network.