Abstract
Objective: To explore the prescribing patterns of selective serotonin reuptake inhibitors (SSRIs) before, during and after pregnancy in six European population-based databases.
Design: Descriptive drug utilisation study.
Setting: Six electronic healthcare databases in Denmark, the Netherlands, Italy (Emilia Romagna/Tuscany), Wales and the rest of the UK. Population All women with a pregnancy ending in a live or stillbirth starting and ending between 2004 and 2010.
Methods: A common protocol was implemented across databases to identify SSRI prescriptions issued (UK) or dispensed (non-UK) in the year before, during or in the year following pregnancy.
Main outcome measures: The percentage of deliveries in which the woman received an SSRI prescription in the year before, during or in the year following pregnancy. We also compared the choice of SSRIs and changes in prescribing over the study period.
Results: In total, 721 632 women and 862 943 deliveries were identified. In the year preceding pregnancy, the prevalence of SSRI prescribing was highest in Wales [9.6%; 95% confidence interval (CI95), 9.4–9.8%] and lowest in Emilia Romagna (3.3%; CI95, 3.2–3.4%). During pregnancy, SSRI prescribing had dropped to between 1.2% (CI95, 1.1–1.3%) in Emilia Romagna and 4.5% (CI95, 4.3–4.6%) in Wales. The higher UK prepregnancy prescribing rates resulted in higher first trimester exposures. After pregnancy, SSRI prescribing increased most rapidly in the UK. Paroxetine was more commonly prescribed in the Netherlands and Italian regions than in Denmark and the UK.
Conclusions
The higher SSRI prescribing rates in the UK, compared with other European regions, raise questions about differences in the prevalence and severity of depression and its management in pregnancy across Europe.
Design: Descriptive drug utilisation study.
Setting: Six electronic healthcare databases in Denmark, the Netherlands, Italy (Emilia Romagna/Tuscany), Wales and the rest of the UK. Population All women with a pregnancy ending in a live or stillbirth starting and ending between 2004 and 2010.
Methods: A common protocol was implemented across databases to identify SSRI prescriptions issued (UK) or dispensed (non-UK) in the year before, during or in the year following pregnancy.
Main outcome measures: The percentage of deliveries in which the woman received an SSRI prescription in the year before, during or in the year following pregnancy. We also compared the choice of SSRIs and changes in prescribing over the study period.
Results: In total, 721 632 women and 862 943 deliveries were identified. In the year preceding pregnancy, the prevalence of SSRI prescribing was highest in Wales [9.6%; 95% confidence interval (CI95), 9.4–9.8%] and lowest in Emilia Romagna (3.3%; CI95, 3.2–3.4%). During pregnancy, SSRI prescribing had dropped to between 1.2% (CI95, 1.1–1.3%) in Emilia Romagna and 4.5% (CI95, 4.3–4.6%) in Wales. The higher UK prepregnancy prescribing rates resulted in higher first trimester exposures. After pregnancy, SSRI prescribing increased most rapidly in the UK. Paroxetine was more commonly prescribed in the Netherlands and Italian regions than in Denmark and the UK.
Conclusions
The higher SSRI prescribing rates in the UK, compared with other European regions, raise questions about differences in the prevalence and severity of depression and its management in pregnancy across Europe.
Original language | English |
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Pages (from-to) | 1010-1020 |
Number of pages | 11 |
Journal | BJOG: An International Journal of Obstetrics and Gynaecology |
Volume | 122 |
Issue number | 7 |
Early online date | 28 Oct 2014 |
DOIs | |
Publication status | Published (in print/issue) - 30 Jun 2015 |
Keywords
- Drug utilisation
- electronic health records
- pregnancy
- serotonin uptake inhibitors.
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Helen Dolk
- School of Medicine - Professor of Epidemiology & Health Services Research
- Faculty Of Life & Health Sciences - Full Professor
Person: Academic
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Marlene Sinclair
- School of Nursing and Paramedic Science - Professor of Midwifery Research
- Faculty Of Life & Health Sciences - Full Professor
Person: Academic