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Table 1 Segmented regression of time-series data expressed in doses per 1000 inhabitants per day (DDD/TID) of flutamide

From: Impact of a health alert and its implementation on flutamide prescriptions for women: an interrupted time series analysis

FLUTAMIDE Pre-intervention trend Post-intervention trend
Immediate impact Long-term change in trend
Coefficienta 95% CI Coefficientb 95% CI Coefficientc 95% CI
DDD/TID in women billed to SNHS −0.00028* − 0.00044 to − 0.00012 − 0.00610* − 0.00912 to − 0.00308 0.00004 − 0.00050 to 0.00058
DDD/TID in men billed to SNHS −0.00059* −0.00065 to − 0.00053 0.00283 −0.00076 to 0.00642 −0.00058 −0.00117 to 0.00001
Sum of DDD/TID for women and men billed to SNHS −0.00082* −0.00090 to − 0.00074 −0.004176* −0.00804 to −0.00031 0.00082 −0.00045 to 0.00101
% DDD/TID billed for women with respect to total DDD/TID billed 0.14262* 0.02488 to 0.25965 −13.10626* −18.85022 to −7.36230 −0.24261 −1.19333 to 0.70811
DDD/TID use in healthcare outside the ambit of the SNHS −0.00003 −0.00018 to 0.00012 − 0.00269 −0.01055 to 0.00517 − 0.00114 −0.00283 to 0.00055
  1. * p < 0.05
  2. SNHS: spanish national health system via the public regional health service
  3. aβ1: slope of the dependent variable until the introduction of the intervention
  4. bβ2: change in the level of the dependent variable, which occurs in the period immediately after versus the period immediately before the introduction of the intervention
  5. cβ3: difference between the pre- and post-intervention period in the slope of the dependent variable