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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