Optimizing naloxone distribution to prevent opioid overdose fatalities: results from piloting the Systems Analysis and Improvement Approach within syringe service programs

Table 3 Estimates from an interrupted time series segmented regression model

	Pre-SAIA-Naloxone	Post-SAIA-Naloxone
	Trend (slope)	Change in level	Change in trend	Trend (slope)^a
	Estimate (95% CI)	Estimate (95% CI)	Estimate (95% CI)	Estimat e (95% CI)
Weekly number of participants receiving naloxone	0.989 (0.986, 0.994)	1.369 (1.122, 1.669)	1.016 (1.012, 1.020)	1.005 (1.002, 1.009)
Weekly number of naloxone doses distributed	1.000 (0.997, 1.002)	2.055 (1.792, 2.358)	1.003 (1.001, 1.005)	1.002 (1.000, 1.005)

CI Confidence interval
^aThe post-SAIA-Naloxone trend is the linear combination of the pre-SAIA-Naloxone trend and the post-SAIA-Naloxone change in trend

ISSN: 1472-6963