Impact of strategic use of antiretroviral therapy intervention to the HIV continuum of care in 13 cities in Indonesia: an interrupted time series analysis

Table 2 Level change^a, pre and post SUFA rates, and the slope change^b for HIV tests at the point of SUFA implementation

		Model 1		Time interaction^d	Model 2		Time interaction^d
		IRR (95% CI)	p-value^c	Time interaction^d	IRR (95% CI)	p-value^c	Time interaction^d
Level change	Predicted tests (n)
Pre-SUFA	1024 (Dec 2013)	1.00			1.00
Post-SUFA	1454 (Jan 2014)	1.41 (1.25, 1.59)	< 0.001		1.41 (1.25, 1.59)	< 0.001
Slope	Predicted tests/month (n)
Pre-SUFA (per month)	596 (Jan 2011–Dec 2013)	1.04 (1.03, 1.04)	< 0.001		1.04 (1.03, 1.04)	< 0.001
Post-SUFA (per month)	1685 (Jan 2014–Dec 2016)	1.01 (1.00, 1.01)	< 0.001		1.01 (1.00, 1.01)	< 0.001
Slope change
Time × SUFA		0.97 (0.97–0.98)		< 0.001	0.97 (0.97–0.98)		< 0.001

IRR Incidence rate ratio
^aLevel change assesses the relative change in tests per month immediately post SUFA intervention
^bSlope change tests the relative change in the monthly trend between pre and post SUFA. Model 1 includes fixed effects for SUFA, time and SUFA x time interaction and a random effect for site. Model 2 = Model 1 + additional adjustment for population at risk (the estimated KAP for each district site).
^c Estimated using a mixed effects negative binomial regression model
^dP-value for the SUFA x Time interaction

ISSN: 1742-6405