| Literature DB >> 32600343 |
Raquel Vázquez-Mourelle1, Eduardo Carracedo-Martínez2, Adolfo Figueiras3,4.
Abstract
BACKGROUND: Off-label drug use among ambulatory patients is often based on little or no scientific support. This paper reports the impact of a health warning about the risks of off-label flutamide use by women and the actions subsequently implemented by the public health service targeting such use.Entities:
Keywords: Drug misuse; Flutamide; Off-label use; Patient safety
Year: 2020 PMID: 32600343 PMCID: PMC7325013 DOI: 10.1186/s12913-020-05453-6
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Segmented regression of time-series data expressed in doses per 1000 inhabitants per day (DDD/TID) of flutamide
| 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 |
* p < 0.05
SNHS: spanish national health system via the public regional health service
aβ1: slope of the dependent variable until the introduction of the intervention
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
cβ3: difference between the pre- and post-intervention period in the slope of the dependent variable
Fig. 1Trends in defined daily doses per 1000 inhabitants per day (DDD/TID) of flutamide billed to the Spanish National Health Service via the public regional health service
Fig. 2Trend in the percentage of defined daily doses per 1000 inhabitants per day (DDD/TID) of flutamide in women with respect to total DDD/TID of flutamide consumed
Fig. 3Trends in flutamide use in public and private health care, expressed in Defined Daily Doses per 1000 inhabitants per day (DDD/TID)