Prescribers' compliance with summary of product characteristics of dabigatran, rivaroxaban and apixaban-A European comparative drug utilization study.

Despite a tremendous increase of direct oral anticoagulants (DOACs) prescriptions in recent years, only few data is available analysing prescribers' adherence to Summary of Product Characteristics (SmPC). We aimed to assess adherence to registered indications, contraindications, special warnings/precautions, and potential drug-drug interactions for three DOAC compounds (dabigatran, rivaroxaban, and apixaban) in six databases of five European countries (The Netherlands, United Kingdom, Spain, Denmark, and Germany). We included adult patients (≥18 years) initiating DOACs between 2008 and 2015. For several SmPC items, broad definitions were used due to ambiguous SmPC terms or lacking data in some databases. Within the study period, a DOAC was initiated in 407 576 patients (rivaroxaban: 240 985 (59.1%), dabigatran: 95 303 (23.4%), and apixaban: 71 288 (17.5%)). In 2015, non-valvular atrial fibrillation was the most common indication (>60% in most databases). For the whole study period, a substantial variation between the databases was found regarding the proportion of patients with at least one contraindication (inter-database range [IDR]: 8.2%-55.7%), with at least one special warning/precaution (IDR: 35.8%-75.2%) and with at least one potential drug-drug interaction (IDR: 22.4%-54.1%). In 2015, the most frequent contraindication was "malignant neoplasm" (IDR: 0.7%-21.3%) whereas the most frequent special warning/precaution was "prescribing to the elderly" (≥75 years; IDR: 25.0%-66.4%). The most common single compound class interaction was "concomitant use of non-steroidal anti-inflammatory drugs" (IDR: 3.0%-25.3%). Contraindications, special warnings/precautions, and potential drug-drug interactions were present in a relevant number of new DOAC users. Due to broad definitions used for some SmPC terms, overall proportions for contraindications are prone to overestimation. However, for unambiguous SmPC terms documented in the databases sufficiently, the respective estimates can be considered valid. Differences between databases might be related to "true" differences in prescription behaviour, but could also be partially due to differences in database characteristics.

An algorithm to identify pregnancies in BIFAP Primary Care database in Spain: Results from a cohort of 155 419 pregnancies.

PURPOSE: There has been a notable progress on the development of methods for identification of pregnancies using primary care databases. We aimed to evaluate the prescription of medications during pregnancy applying a novel algorithm. METHODS: We identified pregnancies in women aged 15 to 49 years registered in the Database for Pharmacoepidemiological Research in Primary Care (BIFAP) between 2002 and 2015. The algorithm applied sequential cycles that searched in hierarchical order for indicators of conception, delivery or pregnancy loss, and other codes suggestive of pregnancy. Length of pregnancy was assessed by searching for last menstrual period (LMP) date, gestational age, and outcomes of pregnancy. Prescription of specific drugs during the pre-pregnancy period and first trimester and time trends during pregnancy were evaluated. RESULTS: We identified a total of 155 419 pregnancies during the study period (77.5% completed pregnancies, 21.5% pregnancies losses, 0.8% ectopic pregnancies, and 0.2% stillbirths). Excluding vitamins and supplements, 43.8% of women received at least one prescription during the pre-pregnancy period and 68.4% during the first trimester. During the first trimester, the most commonly drugs prescribed were analgesics (16.3%) followed by antibiotics (11.8%). From 2002/2003 to 2014/2015, there was an increase of prescriptions for thyroid hormones (1.0% vs 4.7%), H2 blockers (1.0% vs 2.2%), and PPIs (1.4% vs 2.2%). While antidepressants (2.0% vs 1.5%) and benzodiazepines (3.1% vs 2.4%) decreased in the last period. CONCLUSION: Having in mind the challenges of identifying pregnancies in health care databases, this study demonstrates the usefulness of BIFAP database for studies on drug utilization during pregnancy.