Belgian medication exposure during pregnancy (BeMeP), a new nationwide linked database: Linkage methods and prevalence of medication use

PURPOSE

This study aimed to describe the implementation of a new retrospective Belgian national cohort of pregnant women, the Belgian Medication Exposure during Pregnancy (BeMeP).

METHODS

We linked the national dispensing data to birth and death certificates and hospital stay data for a 7-year period between 2010 and 2016 for the first time in Belgium. We presented the characteristics of pregnancy events associated with the mothers enrolled in the linkage study. Next, we constructed a cohort of pregnancies and compared some characteristics computed using the BeMeP database with the national statistics. Finally, we described the use of medications during pregnancy based on the first level of the Anatomical Therapeutic Chemical (ATC) classification.

RESULTS

We included 630 457 pregnant women with 900 024 pregnancy-related events (843 780 livebirths, 1937 stillbirths, 6402 ectopic events, and 47 905 abortions) linked to medication exposure information. Overall, 96.3% of live births and 83.5% of stillbirths (national statistics as reference) were captured from the BeMeP. During pregnancy, excluding the week of birth, 78.9% of live birth pregnancies and 79.6% of stillbirth pregnancies were exposed to at least one medication. The most frequently dispensed medications were anti-infectives (ATC code J = 50.2%) for live births and for stillbirths (44.0%).

CONCLUSION

We linked information on pregnancies, all reimbursed medications dispensed by community pharmacists, all medications dispensed during hospitalization, sociodemographic status, and infant health to create the BeMeP database. The database represents a valuable potential resource for studying exposure-outcome associations for medication use during pregnancy.

A methodology to assess the population size and estimate the needed resources for new licensed medications by combining clinical and administrative databases: The example of glycated haemoglobin in type 2 diabetes

PURPOSE

To develop and validate a model to estimate glycated haemoglobin (HbA1c) values in patients with type 2 diabetes mellitus (T2DM) using a clinical data source, with the aim to apply this equation to administrative databases.

METHODS

Using a primary care and administrative Italian databases, namely the Health Search database (HSD) and the ReS (Ricerca e Salute) database, we selected all patients aged 18 years or older on 31 December 2018 being diagnosed with T2DM and without prior prescription of sodium-glucose cotransporter-2 (SGLT-2) inhibitors. We included patients prescribed with and adherent to metformin. HSD was used to develop and test (using 2019 data as well) the algorithm imputing HbA1c values ≥7% according to a series of covariates. The algorithm was gathered by combining beta-coefficients being estimated by logistic regression models using complete case (excluding missing values) and imputed (after multiple imputation) dataset. The final algorithm was applied to ReS database using the same covariates.

RESULTS

The tested algorithms were able to explain 17%-18% variation in assessing HbA1c values. Good discrimination (70%) and calibration were obtained as well. The best algorithm (three) cut-offs, namely those providing correct classifications ranging 66%-70% was therefore calculated and applied to ReS database. By doing so, from 52 999 (27.9, 95% CI: 27.7%-28.1%) to 74 250 (40.1%, 95% CI: 38.9%-39.3%) patients were estimated with HbA1c ≥7%.

CONCLUSION

Through this methodology, healthcare authorities should be able to quantify the population eligible to a new licensed medication, such as SGLT-2 inhibitors, and to simulate scenarios to assess reimbursement criteria according to precise estimates.

Trends and regional variations in prescriptions dispensed to stimulate uterine contractions at the end of pregnancy in Belgium: A community-based study from 2003 to 2018

PURPOSE

To investigate trends and regional variations in uterotonics dispensed around birth between 2003 and 2018 in Belgium.

METHODS

Data, including outpatient and inpatient prescriptions were extracted from a nationally representative prescription database. The prevalence of uterotonics dispensed during a period including the 7 days before birth, the delivery day and the 7 days after birth was computed over three 4-year-long study periods from 2003 to 2018. The trends between periods and associations between the use of at least one uterotonic and maternal age, region of residence, delivery type and social status were assessed using logistic regression.

RESULTS

In total, 31 675 pregnancies were included in the study. The proportion of pregnancies exposed to at least one uterotonic decreased significantly from 92.9% (95%CI, 92.3-93.4) in 2003-2006 to 91.4% (95%CI, 90.7-92.0) in 2015-2018 for vaginal births and from 95.5% (95%CI, 94.5-96.4) to 93.7% (95%CI, 92.6-94.7) for caesarean sections. However, for vaginal births, the proportion of oxytocin increased from 84.5% (95%CI, 83.7-85.2) to 89% (95%CI 88.3-89.7). A significant association was found between uterotonic agent use and maternal age, region of residence, and delivery type. The dispensation of some uterotonic agents differed significantly between the regions.

CONCLUSIONS

The proportion of pregnancies exposed to at least one uterotonic was high across the study period but decreased slightly between 2003 and 2018. Important variations in uterotonic use between regions highlight the need for improved national guidance.

Record linkage of claims and cancer registries data-Evaluation of a deterministic linkage approach based on indirect personal identifiers

PURPOSE

In Germany, record linkage of claims and cancer registry data is cost- and time-consuming, since up until recently no unique personal identifier was available in both data sources. The aim of this study was to evaluate the feasibility and performance of a deterministic linkage procedure based on indirect personal identifiers included in the data sources.

METHODS

We identified users of glucose-lowering drugs with residence in four federal states in Northern and Southern Germany (Bavaria, Bremen, Hamburg, Lower Saxony) in the German Pharmacoepidemiological Research Database (GePaRD) and assessed colorectal and thyroid cancer cases. Cancer registries of the federal states selected all colorectal and thyroid cancer cases between 2004 and 2015. A deterministic linkage approach was performed based on indirect personal identifiers such as year of birth, sex, area of residence, type of cancer and an absolute difference between the dates of cancer diagnosis in both data sources of at most 90 days. Results were compared to a probabilistic linkage using "direct" personal identifiers (gold standard).

RESULTS

The deterministic linkage procedure yielded a sensitivity of 71.8% for colorectal cancer and 66.6% for thyroid cancer. For thyroid cancer, the sensitivity improved when using only inpatient diagnosis to define cancer in GePaRD (71.4%). Specificity was always above 99%. Using the probabilistic linkage to define cancer cases, the risk for colorectal cancer was estimated 10 percentage points lower than when using the deterministic approach.

CONCLUSIONS

Sensitivity of the deterministic linkage approach appears to be too low to be considered as reasonable alternative to the probabilistic linkage procedure.

Using administrative healthcare database records to study trends in prescribed medication dispensed during pregnancy in Belgium from 2003 to 2017

PURPOSE

The aim of this study was to describe trends in medication prescriptions dispensed during pregnancy in Belgium using administrative healthcare database records from a representative sample of the Belgian population.

METHODS

Pregnant women were identified with reimbursement codes associated with the delivery of a baby. Data were extracted for three study periods, each over 3 years: 2003-2005, 2009-2011, and 2015-2017. The age-standardized prevalence of dispensed medications during pregnancy were computed and logistic regression models were used to evaluate the trends in prevalence across the study periods. The most frequently dispensed medications were listed for each study period.

RESULTS

The study included 23 912 pregnancies. The age-standardized prevalence of pregnant women with at least one dispensed medication increased across the three study periods from 81.8.% to 89.3%. The median number and interquartile range of the different medications dispensed during pregnancy rose from 2 (1-6) to 3 (1-7) between the first and last study periods. In the 2015-2017 period, the most frequently dispensed medications during pregnancy included progesterone (25.5%), paracetamol (17.8%), and amoxicillin (17.1%). The data also showed an increasing trend for the dispensation of ibuprofen and ketorolac during pregnancy across the three study periods.

CONCLUSIONS

The prevalence of prescribed medications dispensed during pregnancy increased in Belgium from 2003 to 2017 with high proportion for Progesterone and Antibiotics. Utilization of certain nonsteroidal anti-inflammatory drugs (NSAIDs) increased between 2003 and 2017, despite recommendations to avoid them.

Prescription drug use during pregnancy in France: a study from the national health insurance permanent sample

PURPOSE

To provide an up-to-date account of drug prescription during pregnancy in France from 2011 to 2014 using the permanent sample of the French national computerized healthcare database and with a focus on recommended supplementations, fetotoxic drugs and teratogenic drugs.

METHODS

All pregnancies identified by the International Classification of Diseases, 10th Revision codes list in the hospitalization database, lasting more than 9 weeks of amenorrhea and whose delivery occurred between 01/01/2011 and 12/31/2014, were included. Drugs delivered between the trimester before and until the end of the pregnancy were included. Drug exposure prevalence was calculated for each year and according to pregnancy trimesters.

RESULTS

The study included 28,491 pregnancies with a median number of 9 [5-13] (median [IQ range]) drugs delivered. The most prescribed drug class was antianemia (in 72.5% of exposed). The prescription rate of recommended vitamins (B9 and D) increased over the study period (+10%). Influenza vaccination also increased but remained at a low rate (1%). Exposure to fetotoxic drugs decreased as pregnancy advanced. Exposure to the main teratogenic antiepileptics was stable over the study period. Low-income pregnant women had a higher average drug consumption except for recommended vitamins.

CONCLUSION

Pregnant French women are among the largest consumers of prescription medications worldwide. Overall, the dispensation trends observed in this study are in line with the recommendations of the French National College of Gynecologists and Obstetricians. Nevertheless, while being low, exposure to fetotoxic drugs, teratogenic drugs or those under safety alerts still occurred. Supplementations and vaccines in low-income pregnant women should also be increased.

Diagnostic accuracy of algorithms to identify hepatitis C status, AIDS status, alcohol consumption and illicit drug use among patients living with HIV in an administrative healthcare database

PURPOSE

This study aims to develop and evaluate diagnostic algorithms for AIDS, hepatitis C status, alcohol abuse and illicit drug use in the administrative healthcare database of the Province of Quebec, Canada (Régie de l'assurance-maladie du Québec (RAMQ)).

METHODS

We selected HIV-positive patients contributing to both the RAMQ database and a local clinical database, which was used as gold standard. We developed algorithms to identify the diagnoses of interest in RAMQ using data from hospital discharge summaries and medical and pharmaceutical claims databases. We estimated and compared sensitivity, specificity, positive predictive and negative predictive values and area under receiver operating curve for each algorithm.

RESULTS

Four hundred twenty patients contributed to both databases. Prevalence of conditions of interest in the clinical database was as follows: AIDS 233 (55%), hepatitis C infection 105 (25%), alcohol abuse 106 (25%), illicit drug use 144 (34%) and intravenous drug use 107 (25%). Sensitivity to detect AIDS, hepatitis C, alcohol abuse, illicit drug use and intravenous drug use was 46% [95%CI: 39-53], 26% [18-35], 50% [37-57], 64% [55-72] and 70% [61-79], respectively. Specificity to detect these conditions was 91% [86-95], 97% [94-98], 92% [88-95], 95% [92-97] and 90% [87-93], respectively. Positive predictive values were 87% [80-92], 71% [54-85], 68% [56-78], 87% [79-93] and 72% [62-80], respectively. Area under receiver operating curve varied from 0.62 [0.57-0.65] for hepatitis C to 0.80 [0.76-0.85] for intravenous drug use.

CONCLUSIONS

Sensitivity was low to detect AIDS, alcohol abuse, illicit drug use and especially hepatitis C in RAMQ. Researchers must be aware of the potential for residual confounding and must consider additional methods to control for confounding.