Agreement between self-report and prescription data in medical records for pregnant women

Antifungal medication use during early pregnancy and the risk of congenital heart defects in the National Birth Defects Prevention Study, 1997-2011

BACKGROUND

Fungal infections are common among pregnant people. Recent studies suggest positive associations between oral antifungals used to treat fungal infections and congenital heart defects (CHDs).

METHODS

We estimated associations between first trimester antifungal use and 20 major, specific CHDs using data from the National Birth Defects Prevention Study (NBDPS), a multi-site, case-control study that included pregnancies with estimated delivery dates from October 1997 through December 2011. Infants with CHDs ("cases") were ascertained from 10 birth defect surveillance programs. Live born infants without major birth defects ("controls") were randomly selected from birth records or hospital discharge lists. First trimester antifungal use was self-reported via maternal interview. We estimated adjusted odds ratios (AORs) and 95% confidence intervals (CIs) using logistic regression with Firth's penalized likelihood.

RESULTS

First trimester antifungal use was reported by 148/11,653 (1.3%) case and 123/11,427 (1.1%) control participants. We estimated AORs for 12 CHDs; six had AORs >1.5 (tetralogy of Fallot, double outlet right ventricle with transposition of the great arteries [DORV-TGA], atrioventricular septal defect, hypoplastic left heart syndrome, pulmonary atresia, muscular ventricular septal defect), and one (pulmonary valve stenosis) had an AOR <0.7. All CIs included the null, except for DORV-TGA.

CONCLUSIONS

First trimester antifungal use was rare. We observed some positive associations for several specific CHDs in our analysis, although the CIs largely included the null. Results do not support a large increase in risk, but smaller increases in risk for certain CHD cannot be ruled out.

Maternal exposure to zolpidem and risk of specific birth defects

Zolpidem is a non-benzodiazepine agent indicated for treatment of insomnia. While zolpidem crosses the placenta, little is known about its safety in pregnancy. We assessed associations between self-reported zolpidem use 1 month before pregnancy through to the end of the third month ("early pregnancy") and specific birth defects using data from two multi-site case-control studies: National Birth Defects Prevention Study and Slone Epidemiology Center Birth Defects Study. Analysis included 39,711 birth defect cases and 23,035 controls without a birth defect. For defects with ≥ 5 exposed cases, we used logistic regression with Firth's penalised likelihood to estimate adjusted odds ratios and 95% confidence intervals, considering age at delivery, race/ethnicity, education, body mass index, parity, early-pregnancy antipsychotic, anxiolytic, antidepressant use, early-pregnancy opioid use, early-pregnancy smoking, and study as potential covariates. For defects with three-four exposed cases, we estimated crude odds ratios and 95% confidence intervals. Additionally, we explored differences in odds ratios using propensity score-adjustment and conducted a probabilistic bias analysis of exposure misclassification. Overall, 84 (0.2%) cases and 46 (0.2%) controls reported early-pregnancy zolpidem use. Seven defects had sufficient sample size to calculate adjusted odds ratios, which ranged from 0.76 for cleft lip to 2.18 for gastroschisis. Four defects had odds ratios > 1.8. All confidence intervals included the null. Zolpidem use was rare. We could not calculate adjusted odds ratios for most defects and estimates are imprecise. Results do not support a large increase in risk, but smaller increases in risk for certain defects cannot be ruled out.

Antifungal medication use during pregnancy and the risk of selected major birth defects in the National Birth Defects Prevention Study, 1997-2011

PURPOSE

Recent studies suggest increased birth defect risk associated with maternal use of specific oral antifungals. We estimated associations between first-trimester antifungal use and selected non-cardiac birth defects using National Birth Defects Prevention Study (NBDPS) data.

METHODS

Participants with a pregnancy affected by a study-eligible birth defect ("cases") were ascertained from 10 birth defect surveillance programs; participants who delivered livebirths without a major birth defect ("controls") were randomly selected from birth records or hospital discharge lists. First-trimester antifungal use was self-reported via maternal interview. We estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for birth defects with ≥5 exposed cases using logistic regression. We estimated crude ORs and exact 95% CIs for birth defects with 3-4 exposed cases. Additionally, we conducted a probabilistic bias analysis of exposure misclassification.

RESULTS

Our analysis included 19 624 cases and 11 427 controls; 257 (1.3%) cases and 123 (1.1%) controls reported first-trimester antifungal use. Of those who reported antifungals, 62.6% of cases and 64.2% of controls reported topical antifungals; 10.1% of cases and 4.9% of controls reported oral antifungals. We observed the strongest associations for encephalocele and Dandy-Walker malformation and modestly elevated estimates for several other defects. Bias-adjusted estimates were similar to the main analysis.

CONCLUSION

First-trimester antifungal use was positively associated with several birth defects in our analysis, although CIs were imprecise. Further study is warranted to investigate associations between antifungal use and birth defects, including potential bias due to confounding by indication.

Agreement between Patient-reported Pain Medication Use and Electronic Medical Record Data in Surgical Amputation Patients

Background

Opioid misuse after surgery remains a public health crisis in the United States. Recent efforts have focused on tracking pain medication use in surgical populations. However, accurate interpretations of medication use remain quite challenging given inconsistent usage of different datasets. The purpose of this study was to investigate the agreement between electronic medical records (EMR) versus patient self-reported use of pain medications in a surgical amputation population.

Methods

Patients undergoing major lower extremity amputation or amputation-related procedures were included in this study. Both self-reported and EMR data for pain medication intake were obtained for each patient at three time points (preoperatively, 4 months postoperatively, and 12 months postoperatively). Percentage agreement and the kappa statistic were calculated for both usage (yes/no) and dose categories.

Results

Forty-five patients were included in this study, resulting in 108 pairs of self-reported and EMR datasets. Substantial levels of agreement (>70% agreement, kappa >0.61) for opioid use was seen at preoperative and 12 months postoperative. However, agreement dropped at 4 months postoperatively. Anticonvulsant medication showed high levels, whereas acetaminophen showed lower levels of agreements at all time points.

Conclusions

Either self-reported or EMR data may be used in research and clinical settings for preoperative or 12-month postoperative patients with little concern for discrepancies. However, at time points immediately following the expected end of acute surgical pain, self-reported data may be needed for more accurate medication reporting. With these findings in mind, usage of datasets should be driven by study objectives and the dataset's strength (eg, accuracy, ease, lack of bias).

Maternal infections and medications in pregnancy: how does self-report compare to medical records in childhood cancer case-control studies?

BACKGROUND

Studies examining the potential impact of mothers' health during pregnancy on the health of their offspring often rely on self-reported information gathered several years later. To assess the validity of this approach, we analysed data from a national case-control study of childhood cancer (diagnosed <15 years) that collected health information from both interviews and medical records.

METHODS

Mothers' interview reports of infections and medications in pregnancy were compared with primary care records. Taking clinical diagnoses and prescriptions as the reference, sensitivity and specificity of maternal recall along with kappa coefficients of agreement were calculated. Differences in the odd ratios estimated using logistic regression for each information source were assessed using the proportional change in the odds ratio (OR).

RESULTS

Mothers of 1624 cases and 2524 controls were interviewed ∼6 years (range 0-18 years) after their child's birth. Most drugs and infections were underreported; in general practitioner records, antibiotic prescriptions were nearly three times higher and infections >40% higher. Decreasing with increasing time since pregnancy, sensitivity was ⩽40% for most infections and all drugs except 'anti-epileptics and barbiturates' (sensitivity 80% among controls). ORs associated with individual drug/disease categories that were based on self-reported data varied from 26% lower to 26% higher than those based on medical records; reporting differences between mothers of cases and controls were not systematically in the same direction.

CONCLUSIONS

The findings highlight the scale of under-reporting and poor validity of questionnaire-based studies conducted several years after pregnancy. Future research using prospectively collected data should be encouraged to minimize measurement errors.

Agreement between maternal report and medical records on use of medications during early pregnancy in New York

BACKGROUND

Studies evaluating associations between medication use in pregnancy and birth outcomes rely on various sources of exposure information. We sought to assess agreement between self-reported use of medications during early pregnancy and medication information in prenatal medical records to understand the reliability of each of these information sources.

METHODS

We compared self-reported prescription medication use in early pregnancy to medical records from 184 New York women with deliveries in 2018 who participated in the Birth Defects Study To Evaluate Pregnancy exposureS. We assessed medications used chronically and episodically, and medications within 12 therapeutic groups. We calculated agreement using kappa (κ) coefficients, sensitivity, and specificity. We assessed differences by case/control status, maternal age, education, time to interview, and interview language.

RESULTS

Medications used chronically showed substantial agreement between self-report and medical records (κ = 0.75, 0.61-0.88), with agreement for therapeutic groups used chronically ranging from κ = 0.61 for antidiabetics to κ = 1.00 for antihypertensives. Prescription medications used episodically showed worse agreement (κ = 0.40, 0.25-0.54), with the lowest agreement for opioid analgesics (κ = 0.20) and anti-infectives (κ = 0.33). Agreement did not differ by the characteristics examined, although we observed potential differences by interview language.

CONCLUSIONS

Among our sample, we observed good agreement between self-report and medical records for medications used chronically and substantially less agreement for medications used episodically. Differences by source may be due to poor recall in self-reports, non-adherence with prescribed medications and lack of complete prescription information within medical records. Limitations should be considered when assessing prescription medication exposures during early pregnancy in epidemiologic studies.

Behaviors Related to Medication Safety and Use During Pregnancy

Background: Most women take medication during pregnancy despite limited scientific evidence on safety. We investigated medication use, including changes in and reasons for changes in use during pregnancy, with attention to medication use in pregnant women with chronic conditions. Materials and Methods: We conducted an online survey of pregnant women aged ≥18 years (n = 1,226). We calculated descriptive statistics for aspects of medication use and performed multivariable logistic regression to examine associations between change in use and chronic conditions. Results: Seventy-nine percent of women took at least one medication during pregnancy. Among those, 63.2% made at least one medication change: 42.0% started, 34.9% stopped, 30.0% missed dose(s), and 18.1% lowered dose(s) from that originally prescribed or recommended. More than a third (36.5%) of women who stopped, lowered, or missed medication did so independent of health care provider advice; 54.0% cited concern about birth or developmental defects as reasons for change. Odds of medication change were higher for women with chronic conditions: digestive conditions-starting (adjusted odds ratio [AOR] = 1.8, 95% confidence interval [CI] = 1.1-2.7), stopping (AOR = 2.1, 95% CI = 1.4-3.3), and lowering (AOR = 2.4, 95% CI = 1.7-3.3) medication; mental health conditions-starting (AOR = 1.6, 95% CI = 1.2-2.2), stopping (AOR = 3.0, 95% CI = 2.3-4.0), or missing (AOR = 2.1, 95% CI = 1.6-2.8) medication; pain conditions-stopping (AOR = 2.9, 95% CI = 2.0-4.2); and respiratory conditions-starting (AOR = 2.0, 95% CI = 1.3-3.1), stopping (AOR = 1.7, 95% CI = 1.1-2.6), and missing (AOR = 2.2, 95% CI = 1.4-3.4) medication. Conclusions: Most pregnant women take medication and many, including those with chronic conditions, change their medication use during pregnancy. Medication change may occur independent of health care provider advice and due to women's safety concerns.

Reliability of prospective and retrospective maternal reports of prenatal experiences

BACKGROUND

Extant perinatal research utilizes retrospective reports on the prenatal environment, but there are limited data on the validity of retrospective data compared with prospective data. The current study examined the reliability of birth mothers' memory of prenatal stress and distress and perinatal risks at 6-months postpartum with maternal reports gathered across each trimester of pregnancy and explored whether recall varied with maternal socioeconomic status.

METHODS

Surveys were collected from 34 pregnant women (M age = 29.14, SD = 5.06 years, 83% non-Hispanic White) on stress, distress, and pregnancy complications at 12(T1), 26(T2), and 38(T3) weeks of pregnancy, and at 6-month post-partum asking the same questions but specifically about the pregnancy. Cohen's kappa and Pearson's correlations were used to investigate maternal recall at post-partum with prospective reports at T1, T2, T3 and an average score of T1, T2, and T3. Correlations were also examined separately for those with high and relatively lower socioeconomic status.

RESULTS

Birth mothers' recall was generally reliable. Retrospective reports were most strongly related to prospective reports in T1 for perceived stress, T1 and T3 for anxiety symptoms and exposure to toxins, but T3 for depressive symptoms. Recall of pregnancy complications best reflected the average score across trimesters (rather than specific trimesters). Women with higher socioeconomic status better recalled prenatal (di)stress, but women with relatively lower socioeconomic status better recalled exposure to toxins.

CONCLUSION

This study provides support for utilizing retrospective reports of maternal prenatal experiences at 6-months post-partum, with implications for interpretation of specific recalled phenotypes.

Pregnancy After Concussion: A Clarion Call for Attention?

OBJECTIVE

Emerging research shows that women who sustain a mild traumatic brain injury, also termed concussion, have a higher risk of menstrual irregularities and sexual dysfunctions. However, no research exists on how these reproductive disruptions affect women's subsequent pregnancies. The objective of this study was to evaluate pregnancy outcomes after concussion in a cohort of reproductive-aged women (aged 18-45 years), 24 months post-injury. We hypothesized that, compared with their extremity-injured peers in the same cohort, women with concussion will have lower incidence of pregnancies.

SETTING

Emergency department of a level 1 trauma center.

PARTICIPANTS

Women of reproductive age (aged 18-45 years) seeking care for concussion or extremity injury.

DESIGN

Longitudinal cohort study that used data collected at 3 distinct time points: t0, baseline: an original cohort of 245 women recruited in January to July 2017 for exposure assessment; t1, 6(+4) weeks post-injury: evaluation of self-reported postinjury menstrual and sexual changes for subgroup analyses-data collected in March to September 2017 ( n = 135); t2, 24 months post-injury: March 2020 chart review for documentation of pregnancies/pregnancy-related events ( N = 245).

MAIN MEASURE

Poisson regression estimates used to model the incidence rate (IR) of pregnancies, comparing concussion with extremity injury.

RESULTS

We reviewed the charts of 254 women from the t0 cohort. After excluding 9 patients who were either deceased or missing relevant data, we had the 245 (96.5%) charts of 102 concussed and 143 extremity-injured study participants. After adjusting for race and obstetric history, women with concussion had 80% lower incidence of pregnancies than their extremity-injured peers (adjusted [adj] IR = 0.20; 95% CI: 0.07-0.59; P = .003). When we excluded women who were using birth control, the IR of pregnancy for women with concussions was 76% lower than for those who had sustained extremity injuries (adj IR = 0.24; 95% CI: 0.07-0.81; P = .02). Pregnancy incidence remained consistently lower for concussed women in additional sensitivity analyses excluding assault/domestic violence victims and those with a prior/new concussion at t0 and t2. Subgroup analyses of the 135 women who had experienced menstrual and/or sexual dysfunctions at t1 showed 84% reduced incidence of pregnancy for women with concussions compared with those who had sustained an extremity injury (adj IR = 0.16; 95% CI: 0.04-0.73; P = .02).

CONCLUSION AND RELEVANCE

Our study potentially serves as a clarion call to understand the long-term reproductive effects of female concussions.

Prenatal Selective Serotonin Reuptake Inhibitor Exposure, Depression and Brain Morphology in Middle Childhood: Results from the ABCD Study

Background

Prenatal selective serotonin reuptake inhibitor (SSRI) exposure has been inconsistently linked to depression, and little is known about neural correlates. We examined whether prenatal SSRI exposure is associated with depressive symptoms and brain structure during middle childhood.

Methods

Prenatal SSRI exposure (retrospective caregiver report), depressive symptoms (caregiver-reported Child Behavior Checklist), and brain structure (magnetic resonance imaging-derived subcortical volume; cortical thickness and surface area) were assessed in children (analytic ns = 5420-7528; 235 with prenatal SSRI exposure; 9-10 years of age) who completed the baseline Adolescent Brain Cognitive Development Study session. Linear mixed-effects models nested data. Covariates included familial, pregnancy, and child variables. Matrix spectral decomposition adjusted for multiple testing.

Results

Prenatal SSRI exposure was not independently associated with depression after accounting for recent maternal depressive symptoms. Prenatal SSRI exposure was associated with greater left superior parietal surface area (b = 145.3 mm², p = .00038) and lateral occipital cortical thickness (b = 0.0272 mm, p = .0000079); neither was associated with child depressive symptoms. Child depression was associated with smaller global brain structure.

Conclusions

Our findings, combined with adverse outcomes of exposure to maternal depression and the utility of SSRIs for treating depression, suggest that risk for depression during middle childhood should not discourage SSRI use during pregnancy. Associations between prenatal SSRI exposure and brain structure were small in magnitude and not associated with depression. It will be important for future work to examine associations between prenatal SSRI exposure and depression through young adulthood, when risk for depression increases.

Ciprofloxacin exposure and adverse pregnancy outcomes: a Danish nationwide cohort study

Objective

To examine the association between maternal exposure to ciprofloxacin and the risk of miscarriage and major malformations.

Design

A nationwide register‐based cohort study.

Setting

Data were obtained from the Medical Birth Registry, the National Hospital Registry, the Danish National Prescription Registry and Statistics Denmark.

Population

Data were collected in the period between 1997 and 2016 and included all registered pregnancies that ended in an elective termination, miscarriage, stillbirth or a live birth. Exposure was defined as redeeming one or more prescriptions of ciprofloxacin.

Methods

Miscarriage was defined as a diagnosis given before 22 weeks without any medical intervention. Major malformations were classified according to EUROCAT 1.4. We matched ciprofloxacin‐exposed pregnancies to unexposed pregnancies on the propensity score in a ratio 1:4. To estimate the hazard ratio (HR) of miscarriage a Cox proportional hazard regression model was used. A log binomial model was used to estimate the relative risk ratio (RR) of major malformations.

Main outcome measures

HR of miscarriage and the RR of major malformations.

Results

A total of 1 650 649 pregnancies were identified. Of these, 10 250 (2050 ciprofloxacin‐exposed) and 6100 (1220 ciprofloxacin‐exposed) were included in the miscarriage and major malformation analysis, respectively. The HR of miscarriage was 0.99 (95% confidence interval [CI] 0.84–1.17). For major malformation, the RR was 1.01 (95% CI 0.72–1.40). For the organ‐specific major malformations and the sensitivity analyses, no significant increased risks were identified.

Conclusion

We demonstrated no association between miscarriage and maternal ciprofloxacin exposure within the first 22 weeks of pregnancy, or between major malformations and maternal exposure during the first trimester.

Tweetable abstract

No association between maternal ciprofloxacin exposure and adverse pregnancy outcomes.

No association between maternal ciprofloxacin exposure and adverse pregnancy outcomes.

Use of a mobile app to capture supplemental health information during pregnancy: Implications for clinical research

PURPOSE

Mobile applications ("apps") may be efficient tools for improving the quality of clinical research among pregnant women, but evidence is sparse. We assess the feasibility and generalizability of a mobile app for capturing supplemental data during pregnancy.

METHODS

In 2017, we conducted a pilot study of the FDA MyStudies mobile app within a pregnant population identified through Kaiser Permanente Washington (KPWA), an integrated healthcare delivery system. We ascertained health conditions, medications, and substance use through app-based questionnaires. In a post-hoc analysis, we utilized electronic health records (EHR) to summarize sociodemographic and health characteristics of pilot participants and, for comparison, a pregnant population identified using similar methods.

RESULTS

Six percent (64/1070) of contacted women enrolled in the pilot study. Nearly half (23/53) reported taking medication for headaches and one-fourth for constipation (13/53) and nausea (12/53) each. Few instances (2/92) of over-the-counter medication use were identified in electronic dispensing records. One-quarter to one-third of participants with depression and anxiety/panic, respectively, reported recently discontinuing medications for these conditions. Eighty-eight percent of pilot participants reported White race (95%CI: 81-95%), versus 67% of the comparison population (N = 2065). More pilot participants filled ≥1 prescription for antianxiety medication (22% [95%CI: 13-35%]) and antidepressants (19% [95%CI 10-31%]) pre-pregnancy than the comparison population (10 and 9%, respectively).

CONCLUSIONS

Mobile apps may be a feasible tool for capturing health data not routinely available in EHR. Pregnant women willing to use a mobile app for research may differ from the general pregnant population, but confirmation is needed.

Maternal Self-Report of Tetanus Diphtheria Pertussis Vaccination during Pregnancy Correlates with Patient-Specific Electronic Medical Records

OBJECTIVES

To evaluate the concordance between maternal report of antepartum tetanus, diphtheria, pertussis (Tdap) vaccination and vaccination status documented in the electronic medical record (EMR), as well as factors associated with discordance.

STUDY DESIGN

A survey was completed by a convenience sample of postpartum patients in a New York metropolitan hospital. The survey collected patients' demographic information, health beliefs, and whether they received Tdap vaccine during this pregnancy. The patient's Tdap vaccination status was abstracted from the EMR, a combination of data gathered from the obstetrician and patient's hospital record. Kappa statistics measured the agreement between maternal report and EMR on antepartum Tdap vaccination. Univariate and multivariable logistic regression analyses were performed to identify maternal characteristics associated with discordance.

RESULTS

Of the 1571 patients with Tdap status available in the EMR, 1549 patients (92%) reported on receipt status for Tdap vaccination during pregnancy; 1328 maternal reports (86%) agreed with the EMR for Tdap status (kappa = 0.72, 95% CI 0.68-0.75). Several factors were statistically significant in multivariable analyses: lower income was associated with greater discordance (ie, overreporting; P = .02), as well as certain health beliefs including "Pregnant women should be concerned about the possibility of pertussis in their babies" (aOR 2.86, 95% CI 1.02-8.04) and "My friends would probably think getting a Tdap vaccine is a good idea" (aOR 2.36, 95% CI 1.11-4.99).

CONCLUSIONS

Maternal recall of Tdap vaccination during pregnancy is consistent with the EMR. This supports the value of maternal report in determining Tdap vaccination status, which is especially important when vaccination records are not available.

Self-reported medication intake vs information from other data sources such as pharmacy records or medical records: Identification and description of existing publications, and comparison of agreement results for publications focusing on patients with cancer - a systematic review

PURPOSE

To identify and describe publications addressing the agreement between self-reported medication and other data sources among adults and, in a subgroup of studies dealing with cancer patients, seek to identify parameters which are associated with agreement.

METHODS

A systematic review including a systematic search within five biomedical databases up to February 28, 2019 was conducted as per the PRISMA Statement. Studies and agreement results were described. For a subgroup of studies dealing with cancer, we searched for associations between agreement and patients' characteristics, study design, comparison data source, and self-report modality.

RESULTS

The literature search retrieved 3392 publications. Included articles (n = 120) show heterogeneous agreement. Eighteen publications focused on cancer populations, with relatively good agreement identified in those which analyzed hormone therapy, estrogen, and chemotherapy (n = 11). Agreement was especially good for chemotherapy (proportion correct ≥93.6%, kappa ≥0.88). No distinct associations between agreement and age, education or marital status were identified in the results. There was little evaluation of associations between agreement and study design, self-report modality and comparison data source, thus not allowing for any conclusions to be drawn.

CONCLUSION

An overview of the evidence available from validation studies with a description of several characteristics is provided. Studies with experimental design which evaluate factors that might affect agreement between self-report and other data sources are lacking.

Survey and electronic health record-based medication use agreement in children with cystic fibrosis: A retrospective cross-sectional study

BACKGROUND

Medication use is important to collect accurately in medically complex patients in both clinical and research settings.

AIM

We assessed patient-level agreement for medication use between self-reported survey and electronic health record (EHR) for children with cystic fibrosis (CF).

METHODS

Our retrospective cross-sectional study focused on children with CF ages 6-20 years from Seattle Children's Hospital in Washington state, USA (N = 85). A self- or parent-reported survey included questions on current use of specific medications and antibiotic use in the past 2 months. We compared survey data with data abstracted from the individual's EHR and derived Cohen's Kappa statistics to estimate the level of agreement between the two methods.

RESULTS

Self-reported medication use was generally higher in the survey than in the EHR. The level of agreement ranged from slight for probiotics (74.1% agreement; 95% confidence interval [CI]: 64.6%-83.6%; kappa: 0.07), pancreatic enzymes (80% agreement; 95% CI: 71.3%-88.7%; kappa: 0.12), and vitamin D (55.3% agreement; 95% CI: 44.5%-66.1%; kappa: 0.20) to moderate for chronic azithromycin (80% agreement; 95% CI: 7.13%-88.7%; kappa: 0.50), proton pump inhibitors (76.5% agreement; 95% CI: 67.3%-85.7%; kappa: 0.46), and oral antibiotics (70.6% agreement; 95% CI: 60.7%-80.5%; kappa: 0.42).

CONCLUSION

There is considerable heterogeneity in level of agreement in medication use between self-reported survey and EHR data for children with CF. Standardized approaches are needed to improve the accuracy of medication data collected in clinical practice and research.

Interaction between Maternal Immune Activation and Antibiotic Use during Pregnancy and Child Risk of Autism Spectrum Disorder

Prenatal exposure to maternal immune activation (MIA) has been implicated as a risk factor for the development of autism spectrum disorder (ASD), though the conditions under which this elevated risk occurs are unclear. Animal literature demonstrates that antibiotic use, which affects the composition of the maternal gut microbiota, modifies the effect of MIA on neurodevelopmental outcomes in the offspring. The aim of this study was to assess whether antibiotic use during pregnancy modifies the association between MIA and subsequent risk of ASD, in a prospective birth cohort with 116 ASD cases and 860 typically developing (TD) child controls. There was no evidence of interaction between fever or genitourinary infection and antibiotic use on the odds of ASD in unadjusted or adjusted analyzes. However, we found evidence of an interaction between flu, specifically in second trimester, and antibiotic use at any point during pregnancy on the odds of ASD in the child. Among women who received an antibiotic during pregnancy, flu in trimester two was not associated with ASD (adjusted odds ratio [aOR] = 0.99 [0.43-2.28]). Among women who were not exposed to an antibiotic at any point during pregnancy, flu in second trimester was significantly associated with increased odds of ASD (aOR = 4.05 [1.14-14.38], P = .03), after adjustment for child sex, child birth year, maternal age, gestational age, C-section delivery, and low birthweight. These findings should be treated as hypothesis-generating and suggest that antibiotic use may modify the influence that MIA has on autism risk in the child. LAY SUMMARY: We looked at whether the association between activation of the immune system during pregnancy and risk of the child developing autism spectrum disorder (ASD) differed among women who did or did not take an antibiotic at any point during pregnancy. We examined 116 children with ASD and 860 without ASD and found that flu in second trimester was associated with increased ASD, but only among women who did not take an antibiotic during pregnancy. No other immune activation exposures seemed to interact with antibiotic use.

Patterns of prescription medicine dispensing before and during pregnancy in New Zealand, 2005-2015

Objective

To describe prescription medicine dispensing before and during pregnancy in New Zealand, 2005–2015.

Methods

Members of the New Zealand Pregnancy Cohort were linked with their dispensing records in a national database of prescription products dispensed from community pharmacies. We identified the proportion of pregnancies during which at least one prescription medicine was dispensed, the number of different medicines used and the most commonly dispensed medicine groups both during pregnancy and in the 270 days before conception. Dispensing during pregnancy was assessed by several maternal characteristics.

Results

874,884 pregnancies were included. Over the study timeframe, the proportion of pregnancies exposed to a non-supplement prescription medicine increased from 38.5% to 67.2%. The mean number of different non-supplement medicines dispensed during pregnancy increased from 2.5 to 3.2. Dispensing during pregnancy was weakly associated with body mass index, smoking status and ethnicity. Pregnancy exposure was highest for Antibacterials (26.0%), Analgesics (16.7%) and Antinausea & Vertigo Agents (11.0%).

Conclusions

From 2005–2015, both the proportion of exposed pregnancies and the number of different medicines dispensed to pregnant women in New Zealand increased.

Psychiatric Disorders in the Adolescent Offspring of Mothers with Thyroid Problems During Pregnancy

Maternal thyroid problems during pregnancy have been linked to neurocognitive impairments in children. While studies suggest that disorders of maternal thyroid function during pregnancy are associated with symptoms of mental health problems in children, little is known about the risk of clinically significant psychiatric disorders in adolescence. A sample of 2451 Canadian adolescents enrolled in the Ontario Child Health Study completed the Mini International Neuropsychiatric Interview for Children and Adolescents at 12-17 years of age. Their mothers self-reported thyroid problems during pregnancy. Gestational thyroid problems were associated with offspring oppositional defiant disorder (ODD; OR 3.73; 95% CI 1.69-8.24), conduct disorder (CD; OR 12.95; 95% CI 5.12-32.75), and social anxiety disorder (SAD; OR 6.25; 95% CI 2.53-15.47). Neither sex nor gestational age moderated associations between prenatal thyroid dysfunction and the majority of outcomes. School performance mediated 8% of the association between thyroid problems and SAD, 21% for CD and 53% for ODD.

Prevalence of benzodiazepines and benzodiazepine-related drugs exposure before, during and after pregnancy: A systematic review and meta-analysis

BACKGROUND

Maternal use of benzodiazepines during pregnancy is common and has increased over the last decades. In this systematic review and meta-analysis, we studied the literature to estimate the worldwide use of benzodiazepines before, during and after pregnancy, which could help to estimate benzodiazepine exposure and to prioritize and guide future investigations.

METHODS

We systematically searched Embase, Medline Ovid, Web of Science and Cochrane Central up until July 2019 for studies reporting on benzodiazepine use before (12 months), during and after pregnancy (12 months). Random effects meta-analysis was conducted to calculate pooled prevalence estimates, as well as stratified according to substantive variables.

RESULTS

We identified 32 studies reporting on 28 countries, together reporting on 7,343,571 pregnancies. The worldwide prevalence of benzodiazepine use/prescriptions during pregnancy was 1.9% (95%CI 1.6%-2.2%; I² 97.48%). Highest prevalence was found in the third trimester (3.1%; 95%CI 1.8%-4.5%; I² 99.83%). Lorazepam was the most frequently used/prescribed benzodiazepine (1.5%; 95%CI 0.5%-2.5%; I² 99.87%). Highest prevalence was found in Eastern Europe (14.0%; 95%CI 12.1%-15.9%; I² 0.00%).

LIMITATIONS

All analyses revealed considerable heterogeneity.

CONCLUSIONS

Our meta-analysis confirmed that benzodiazepine use before, during and after pregnancy is prevalent. The relatively common use of benzodiazepines with possible risks for both mother and (unborn) child is worrying and calls for prescription guidelines for women, starting in the preconception period. Given the substantial proportion of children exposed to benzodiazepines in utero, future research should continue to study the short- and long-term safety of maternal benzodiazepine use during pregnancy and to explore non-pharmacological alternative treatments.

Prevalence and Accuracy of Information on CYP2D6, CYP2C19, and CYP2C9 Related Substrate and Inhibitor Co-Prescriptions in the General Population: A Cross-Sectional Descriptive Study as Part of the PharmLines Initiative

BACKGROUND

Drug-drug interaction (DDI) is one of the main contributors to adverse drug reactions and therefore, it is important to study its frequency in the population. We aimed to investigate frequency and concordance on CYP2D6, CYP2C19, and CYP2C9 (CYP2D6/2C19/2C9)-mediated potential DDIs at the Lifelines cohort and linked data from the pharmacy database IADB.nl.

METHODS

As part of the University of Groningen PharmLines Initiative, data were collected on CYP2D6/2C19/2C9-related substrate/inhibitors from entry questionnaires of Lifelines participants and linked information from the pharmacy database IADB.nl. CYP2D6/2C19/2C9 related co-prescriptions were divided based on the type of drugs i.e. chronically used medication (CM) or occasionally used medication (OM). This resulted in the combination of two chronically used drugs (CM-CM), chronically and occasionally used medication (CM-OM), and two occasionally used drugs (OM-OM). To measure the agreement level, cohen's kappa statistics and test characteristics were used. Results were stratified by time window, gender, and age.

RESULTS

Among 80,837 medicine users in the Lifelines, about 1-2 per hundred participants were exposed to a CYP2D6/2C19/2C9-mediated potential DDI. Overall, the overlapping time window of three months produced the highest mean kappa values between the databases i.e. 0.545 (95% CI:0.544-0.545), 0.512 (95% CI:0.511-0.512), and 0.374 (95% CI:0.373-0.375), respectively. CM-CM had a better level of agreement (good) than CM-OM (fair to moderate) and OM-OM combination (poor to moderate). The influence of gender on concordance values was different for different CYPs. Among older persons, agreement levels were higher than for the younger population.

CONCLUSIONS

CYP2D6/2C19/2C9-mediated potential DDIs were frequent and concordance of data varied by time window, type of combination, sex and age. Subsequent studies should rather use a combination of self-reported and pharmacy database information.

In utero exposure to antibiotics and risk of congenital malformations: a population-based study

BACKGROUND

Antibiotics are commonly prescribed during pregnancy. Although the safety of most penicillins is well established, some controversy and uncertainty are associated with the use of other commonly prescribed antibiotics.

OBJECTIVE

To determine the risk of congenital malformations following first-trimester in utero exposure to 10 commonly prescribed antibiotics in Denmark.

MATERIALS AND METHODS

This was a cohort study comprising all singleton liveborn children in Denmark between 2000 and 2015. Data on malformations were collected through 2016. Merging validated and comprehensive populationwide Danish healthcare and civic registries, we merged data on pregnancy, prescription drugs purchases during first trimester and congenital malformations. Using logistic regression, we calculated the odds ratio for congenital malformations (any), major congenital malformations, and cardiac congenital malformations for the 10 most commonly prescribed antibiotics (excluding 4 penicillins that served as control). In the primary analysis, the exposed cohort was compared to a cohort exposed to any of 4 penicillins considered safe during pregnancy (ampicillin, pivampicillin, benzylpenicillin, and phenoxymethylpenicillin). In sensitivity analysis, the exposed cohort was compared to an unexposed cohort. Covariate adjustments were made for maternal age at delivery, year of delivery, parity, pre-pregnancy body mass index, smoking, educational status, employment status, and annual personal income.

RESULTS

We found no increased risk of congenital malformations to be related to first-trimester in utero exposure to the 10 most commonly prescribed antibiotics in Denmark compared to a cohort of pregnant women exposed to penicillins that are considered safe during pregnancy. Compared to unexposed pregnancies, small increased risks for major malformations and cardiac malformations were apparent for pivmecillinam (odds ratio, 1.13; confidence interval, 1.06-1.19; and odds ratio, 1.15; confidence interval, 1.04-1.28, respectively), sulfamethizole (odds ratio, 1.15; confidence interval, 1.07-1.24; and odds ratio, 1.22; confidence interval, 1.07-1.39, respectively), and azithromycin (odds ratio, 1.19, confidence interval, 1.03-1.38; and odds ratio, 1.29, confidence interval, 0.99-1.67, respectively).

CONCLUSION

In this large populationwide cohort study, we found, with a high degree of precision, no increased risk of congenital malformations following first-trimester exposure to 10 commonly prescribed systemic antibiotics.

Familial implications of autoimmune disease: Recurrence risks of alopecia areata and associated conditions in first-degree relatives

Alopecia areata (AA), a complex autoimmune hair loss condition, affects approximately 2.1% of the population. Individuals with AA have increased susceptibility to diseases such as atopy and autoimmune disorders, but little is known about first-degree relatives' risk to develop AA and associated conditions. Genetic counseling for multifactorial conditions, including autoimmune disease is complex, but potentially valuable. Anecdotally we know patients with AA ask medical providers about recurrence risk for family members as well as question whether they and their relatives are at risk for other conditions. Data on AA recurrence risks and comorbid conditions among relatives of affected individuals comprise valuable information that may guide clinical management by genetic counselors. This study investigated the recurrence risk of AA and compared the prevalence of associated conditions among first-degree relatives to the general population. The study also assessed the validity of self-reported conditions for a subset of participants. Relatives of individuals with AA (N = 155), recruited from the National Alopecia Areata Foundation Registry, completed telephone surveys about their personal medical history for 70 medical conditions associated with AA. Medical records for 60 participants were compared to self-reported responses. One-sided proportional tests, in which it is assumed the disease prevalence in first-degree relatives is higher than for those in the general population, yielded a 7.8% estimated risk of AA versus the general population prevalence of 2.1%. Furthermore, there are increased risks of 33 associated conditions, including atopy and other autoimmune conditions. Comparison of medical reports to self-reported conditions indicated only 12% was incongruent. The findings may help genetic counselors better serve patients and their families by informing them of lifetime risk estimates of developing AA and comorbid conditions, resulting in early diagnosis of autoimmune diseases in AA families. Findings also provide evidence supporting the validity of self-report data in AA families.

Collection of antirheumatic medication data from both patients and rheumatologists shows strong agreement in a real-world clinical cohort: the Ontario Best Practices Research Initiative-a rheumatoid arthritis cohort

OBJECTIVES

The objective of the study was to examine the agreement between patient- and rheumatologist-reported antirheumatic medication (ARM) use in the Ontario Best Practices Research Initiative.

STUDY DESIGN AND SETTING

We included adult patients who enrolled on or after September 1st 2010 and compared ARM use where rheumatologist visits and interviews occurred within 60 days of each other. Kappa statistic was used to measure agreement. We calculated sensitivity, specificity, and positive and negative predictive value, considering patient-reported data as the gold standard. To examine factors associated with agreement, a hierarchical generalized linear model was used. A subset analysis was also completed to compare start and stop dates of ARM.

RESULTS

Overall agreement for ARM was good with higher sensitivity and lower specificity for conventional synthetic disease-modifying antirheumatic drugs compared with biologic disease-modifying antirheumatic drugs. Increased Health Assessment Questionnaire pain index and 28 disease activity score-erythrocyte sedimentation rate (DAS28-ESR) were significantly associated with lower agreement. Reporting stop dates was higher (19.4%) for patient-reported data compared with rheumatologist-reported data (13.1%).

CONCLUSION

ARM reports had strong agreement particularly for patients who have low disease activity and pain. ARM discontinuation was reported more frequently by patients, which may indicate that patients may be discontinuing use of their rheumatoid arthritis medications before consulting their rheumatologist.

Assessment of medication use during pregnancy by Web-based questionnaires, pharmacy records and serum screening

OBJECTIVE

To compare assessment of early pregnancy medication exposure using three methods of data collection.

METHODS

Serum samples were obtained from 752 women participating in the PRegnancy and Infant DEvelopment (PRIDE) Study before gestational week 17. For 52 women using medication at the date of blood sampling according to Web-based questionnaires or pharmacy records, we analysed serum samples using untargeted liquid chromatography time-of-flight spectrometry.

RESULTS

Medication was detected in 18 serum samples (35%). Medications taken orally for chronic conditions reported in the questionnaire were detected in serum and vice versa. Pharmacy records did not identify additional exposed women, but missed exposure in 5 women mainly due to unavailability. We observed substantial discordance between the three methods for inhaled medication, dermatological preparations, and medications for short-term use, which went often undetected in serum.

CONCLUSIONS

It remains challenging to assess medication use in large-scale studies as no 'gold standard' is currently available.

Maternal use of thyroid hormone replacement therapy before, during, and after pregnancy: agreement between self-report and prescription records and group-based trajectory modeling of prescription patterns

Purpose

A reliable definition of exposure and knowledge about long-term medication patterns is important for drug safety studies during pregnancy. Few studies have investigated these measures for thyroid hormone replacement therapy (THRT). The purpose of this study was to 1) calculate the agreement between self-report and dispensed prescriptions of THRT and 2) classify women with similar adherence patterns to THRT into disjoint longitudinal trajectories.

Methods

Our analysis used data from the Norwegian Mother and Child Cohort Study (MoBa), a prospective population-based cohort study. MoBa was linked to prescription records from the Norwegian Prescription Database (NorPD). We estimated Cohen’s kappa coefficients (k) and approximate 95% CIs for agreement between self-report and prescription records for the 6-month period prior to pregnancy and for each pregnancy trimester. Using group-based trajectory models (GBTMs), we estimated adherence trajectories among women who self-reported and had a THRT prescription.

Results

There were 56,148 women in MoBa, who had both a record in NorPD and available prescription history up to 1 year prior to pregnancy. Of these, 1,171 (2.1%) self-reported and received a prescription for THRT. Agreement was “perfect” in the 6-month period prior to pregnancy (k=0.86; CI 0.85–0.88), in the first (k=0.83; CI 0.82–0.85) and in the second trimesters (k=0.89; CI 0.87–0.90), while this was moderate (k=0.57; CI 0.54–0.59) in the third trimester. Among the subset of the 1,171 women, we identified four disjoint GBTM adherence groups: Constant-High (50.2%), Constant-Medium (32.9%), Increasing-Medium (11.0%), and Decreasing-Low (5.8%).

Conclusion

Agreement between self-report and prescription records was high for THRT in the early pregnancy period. Based on our GBTM results, about one in two women with hypothyroidism had adequate adherence to prescribed THRT throughout pregnancy. Given the potential consequences, evidence of low adherence in 5.8% of pregnant women with hypothyroidism is of concern.

Drug prescribing during pregnancy in a central region of Italy, 2008-2012

Background

Drug consumption during pregnancy is a matter of concern, especially regarding drugs known or suspected to be teratogens. Little is known about drug use in pregnant women in Italy. The present study is aimed at examining the prevalence, and to detect potential inappropriateness of drug prescribing among pregnant women in Latium, a region of central Italy.

Methods

This retrospective study was conducted on a cohort of women aged 18-45 years who delivered between 2008 and 2012 in public hospitals. Women were enrolled through the Regional Birth Register. After linking the regional Health Information Systems and the Regional Drug Claims Register, women’s clinical data and prescribed medications were analyzed. Italian Medicine Agency (AIFA) and US Food and Drug Administration (FDA) evidence were used to investigate inappropriate prescribing and teratogenic risk.

Results

Excluding vitamins and minerals, 80.6% (n = 153,079) of the women were prescribed at least one drug during pregnancy, with an average of 4.6 medications per pregnancy. Drugs for blood and hematopoietic organs were the most commonly prescribed (53.0%,), followed by anti-infectives for systemic use (50.7%). Among the inappropriate prescriptions, progestogen supplementation was given in 20.1% of pregnancies; teratogen drugs were prescribed in 0.8%, mostly angiotensin co-enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) (0.3%).

Conclusions

In Latium, drugs are widely used in pregnancy. Prescriptions of inappropriate drugs are observed in more than a fifth of pregnancies, and teratogens are still used, despite their known risk. Continuous updates of information provided to practitioners and an increased availability of information to women might reduce inappropriate prescribing.

Using Web-Based Questionnaires to Assess Medication Use During Pregnancy: A Validation Study in 2 Prospectively Enrolled Cohorts

Medication use is often underreported in paper-based questionnaires or interviews. Web-based questionnaires may improve recall of medication use, but data on their validity are currently lacking. Participants in the Pregnancy and Infant Development (PRIDE) Study (2014-2016; n = 557) and the Pregnancy Drug Registry (pREGnant) (2015-2016; n = 169) completed a 6-week paper-based medication diary during gestational weeks 19-24 or 26-31. In week 34, they completed a Web-based questionnaire with questions on medication names, time period and frequency of use, and quantity taken. To assess the degree of underreporting, we calculated the questionnaire's sensitivity using the medication diary as the reference standard. Sensitivity was high for many medication groups, including antiepileptic medication (sensitivity (Sn) = 0.96, 95% confidence interval (CI): 0.89, 1.00), antacids (Sn = 0.89, 95% CI: 0.86, 0.93), and iron preparations (Sn = 0.81, 95% CI: 0.64, 0.98). However, medications for short-term use were underreported more frequently, with sensitivities of 0.54 (95% CI: 0.35, 0.72) for antihistamines, 0.63 (95% CI: 0.57, 0.69) for analgesic and antipyretic agents, and 0.57 (95% CI: 0.51, 0.64) for acetaminophen. Shortening the period of time between exposure and questionnaire administration increased sensitivity substantially. In conclusion, underreporting in Web-based questionnaires is limited for many medication groups. In prospective studies, underreporting of medications for short-term use may be reduced by decreasing the interval between consecutive questionnaires.

Agreement Between Maternal Report and Medical Records During Pregnancy: Medications for Rheumatoid Arthritis and Asthma

BACKGROUND

There are limited data regarding the comparability of medication exposure information during pregnancy from maternal report and medical records, including for rheumatoid arthritis and asthma-related medications.

METHODS

This study included pregnant women with rheumatoid arthritis (n = 216) and asthma (n = 172) enrolled in the MothertoBaby Pregnancy Studies (2009-2014). Women reported types and dates of medications used through semi-structured telephone interviews up to three times during pregnancy and once after delivery, and medical records were obtained. We calculated Cohen's kappa coefficients and 95% confidence intervals (CIs) and per cent agreement for agreement between report and records.

RESULTS

For rheumatoid arthritis, prednisone was reported most frequently (53%). During pregnancy, kappa coefficients for rheumatoid arthritis medications ranged from 0.32 (95% CI 0.15, 0.50) for ibuprofen, with 84.3% agreement, to 0.90 (95% CI 0.84, 0.96) for etanercept with 95.4% agreement, and was 0.44 (95% CI 0.33, 0.55) for prednisone, with 71.3% agreement. For asthma, albuterol was reported most frequently (77.9%). During pregnancy, kappa coefficients for asthma medications ranged from 0.21 (95% CI 0.08, 0.35), with 64.5% agreement for albuterol to 0.84 (95% CI 0.71, 0.96) for budesonide/formoterol, with 96.5% agreement. Where kappas for any use during pregnancy were less than excellent (i.e. ≤0.80), medication use was more frequently captured by report than record.

CONCLUSIONS

Agreement was higher for medications typically used continuously than sporadically. Information on medication use from medical records alone may not be adequate when studying the impact of intermittently used medications during pregnancy on perinatal outcomes.

Hypnotics use in children 0-18 months: moderate agreement between mother-reported survey data and prescription registry data

BACKGROUND

Different methods in pharmacoepidemiology can be used to study hypnotic use in children. But neither questionnaire-based data nor prescription records can be considered a "gold standard". This study aimed to investigate the agreement between mother-reported questionnaire-based data and prescription record data for hypnotic drugs in children aged 0-18 months. The agreement was compared to the agreement for a group of antiepileptic drugs.

METHODS

Prescription record data were collected from the Norwegian prescription database for 47,413 children also surveyed in the Norwegian mother and child cohort between 2005 and 2009. Agreement between in the two data sources was calculated using Cohens Kappa. Multinomial logistic regression was used to calculate the effect of sociodemographic variables on discrepancies in data sources.

RESULTS

The agreement between mother-reported and dispensed hypnotics was less than 50% for all hypnotics. Sensitivity of reporting increased with number of filled prescriptions. The agreement of antiepileptic drugs was 92.9% in the same population. Of several sociodemographic factors only paternal educational level and maternal work situation was significantly related to agreement between prescription record and survey data.

CONCLUSION

There was a moderate agreement between reported use and dispensed hypnotic drugs for infants and toddlers. Results indicate that sociodemographic factors play only a minor role in explaining discrepancy.

The concordance between self-reported medication use and pharmacy records in pregnant women

PURPOSE

Several studies have been conducted to assess determinants affecting the performance or accuracy of self-reports. These studies are often not focused on pregnant women, or medical records were used as a data source where it is unclear if medications have been dispensed. Therefore, our objective was to evaluate the concordance between self-reported medication data and pharmacy records among pregnant women and its determinants.

METHODS

We conducted a population-based cohort study within the Generation R study, in 2637 pregnant women. The concordance between self-reported medication data and pharmacy records was calculated for different therapeutic classes using Yule's Y. We evaluated a number of variables as determinant of discordance between both sources through univariate and multivariate logistic regression analysis.

RESULTS

The concordance between self-reports and pharmacy records was moderate to good for medications used for chronic conditions, such as selective serotonin reuptake inhibitors or anti-asthmatic medications (0.88 and 0.68, respectively). Medications that are used occasionally, such as antibiotics, had a lower concordance (0.51). Women with a Turkish or other non-Western background were more likely to demonstrate discordance between pharmacy records and self-reported data compared with women with a Dutch background (Turkish: odds ratio, 1.63; 95% confidence interval, 1.16-2.29; other non-Western: odds ratio, 1.33; 95% confidence interval, 1.03-1.71).

CONCLUSIONS

Further research is needed to assess how the cultural or ethnic differences may affect the concordance or discordance between both medication sources. The results of this study showed that the use of multiple sources is needed to have a good estimation of the medication use during pregnancy.

Maternal use of selective serotonin reuptake inhibitors during pregnancy is associated with Hirschsprung's disease in newborns - a nationwide cohort study

BACKGROUND

Hirschsprung's disease is a rare condition caused by congenital malformation of the gastrointestinal tract affecting 1:5000 children. Not much is known about risk factors for development of Hirschsprung's disease. Two clinical cases of hirschsprung's disease led to an investigation of the association between maternal use of selective serotonin reuptake inhibitors (SSRIs) during pregnancy and development of Hirschsprung's Disease in the newborn child. The study examined a nationwide, unselected cohort of children born in Denmark from 1 January 1996 until 12 March 2016 (n = 1,256,317). We applied multivariate models to register-based data to estimate the odds ratio of Hirschsprung's disease, adjusting for possible confounders. The studied exposure period for SSRIs were 30 days prior to conception to the end of the first trimester.

RESULTS

In the main exposed cohort the prevalence of Hirschsprung's disease was 16/19.807 (0.08%) compared to 584/1.236.510 (0.05%) in the unexposed cohort. In women who redeemed a minimum of one prescription of selective serotonin reuptake inhibitors, the adjusted odds ratio for development of Hirschsprung's disease was 1.76 (95%CI: 1.07-2.92). In women who redeemed a minimum of two prescriptions, the adjusted odds ratio for Hirschsprung's disease was 2.34 (95% CI: 1.21-4.55).

CONCLUSIONS

Our data suggest that early maternal use of selective serotonin reuptake inhibitors is significantly associated with the development of Hirschsprung's disease in the newborn child. Treatment of depression during pregnancy always has to be weighed against the risks posed by untreated maternal depression. Our results have to be confirmed in other studies.

Agreement and validity of electronic health record prescribing data relative to pharmacy claims data: A validation study from a US electronic health record database

BACKGROUND

Granular clinical and laboratory data available in electronic health record (EHR) databases provide researchers the opportunity to conduct investigations that would not be possible in insurance claims databases; however, for pharmacoepidemiology studies, accurate classification of medication exposure is critical.

OBJECTIVE

The aim of this study was to evaluate the validity of classifying medication exposure using EHR prescribing (EHR-Rx) data.

METHODS

We conducted a retrospective cohort study among patients with linked claims and EHR data in OptumLabs™ Data Warehouse. The agreement between EHR-Rx data and pharmacy claims (PC-Rx) data (for 40 medications) was determined using the positive predictive value (PPV) and medication possession ratio (MPR)-calculated in 1- and 12-month medication exposure periods (MEPs). Secondary analyses were restricted to incident vs prevalent EHR-Rxs, age ≥65 vs <65, white vs black race, males vs females, and number of EHR-Rxs.

RESULTS

The validity metrics varied substantially among the 40 medications assessed. Across all medications, the period PPV and MPR were 62% and 63% in the 1-month MEP. They were 78% and 43% in the 12-month MEP. Overall, PPV and MPR were higher for patients with a prevalent EHR-Rx and age <65.

CONCLUSIONS

Despite substantial variability among different medications, there was very good agreement between EHR-Rx data and PC-Rx data. To maximize the validity of classifying medication exposure with EHR prescribing data, researchers may consider using longer MEPs (eg, 12 months) and potentially require multiple EHR-Rxs to classify baseline medication exposure.

Survival analysis using primary care electronic health record data: A systematic review of the literature

PURPOSE

An emerging body of research involves observational studies in which survival analysis is applied to data obtained from primary care electronic health records (EHRs). This systematic review of these studies examined the utility of using this approach.

METHOD

An electronic literature search of the Scopus, PubMed, Web of Science, CINAHL, and Cochrane databases was conducted. Search terms and exclusion criteria were chosen to select studies where survival analysis was applied to the data extracted wholly from EHRs used in primary care medical practice.

RESULTS

A total of 46 studies that met the inclusion criteria for the systematic review were examined. All were published within the past decade (2005-2014) with a majority ( n = 26, 57%) being published between 2012 and 2014. Even though citation rates varied from nil to 628, over half ( n = 27, 59%) of the studies were cited 10 times or more. The median number of subjects was 18,042 with five studies including over 1,000,000 patients. Of the included studies, 35 (76%) were published in specialty journals and 11 (24%) in general medical journals. The many conditions studied largely corresponded well with conditions important to general practice.

CONCLUSION

Survival analysis applied to primary care electronic medical data is a research approach that has been frequently used in recent times. The utility of this approach was demonstrated by the ability to produce research with large numbers of subjects, across a wide range of conditions and with the potential of a high impact. Importantly, primary care data were thus available to inform primary care practice.

Can We Rely on Pharmacy Claims Databases to Ascertain Maternal Use of Medications during Pregnancy?

BACKGROUND

Administrative databases are increasingly used to measure drug exposure in perinatal pharmacoepidemiology. We aimed to estimate the concordance between records of prescriptions filled in pharmacies and self-reported drug use during pregnancy.

METHODS

Data on self-reported medication use were collected at each trimester of pregnancy among a sub-sample from the Organization of Teratology Information Specialists Antidepressants in Pregnancy Cohort. Women were eligible if they were Quebec resident and provided their pharmacist's contact information. Maternal self-reports were compared with prescriptions filled in pharmacies, which are transferred to pharmaceutical services files of Quebec provincial health plan database (Régie de l'asssurance maladie du Québec). Positive and negative predictive values (PPV and NPV) for medications taken chronically (antidepressants, thyroid hormones), acutely (antibiotics), and as needed (antiemetics, asthma medications) were calculated.

RESULTS

Among the 93 participants (mean age = 30.2 ± 3.8 years), 41.9% (n = 39) took at least one antidepressant during pregnancy according to self-reports, and 39.8% (n = 37) according to pharmacy records. Other commonly used drugs were antiemetics (self-reported 22.6%, pharmacy record 24.7%), antibiotics (20.4%, 16.1%), asthma medications (15.1%, 15.1%), and thyroid hormones (10.8%, 8.6%). PPVs and NPVs were: (1) chronic medication: antidepressants PPV = 100% (95% confidence interval [CI], 100-100%), NPV = 96% (95% CI, 92-100%); thyroid hormones PPV = 100% (95% CI, 100-100%), NPV = 98% (95% CI, 95-100%); (2) Acute medication: antibiotics PPV = 87% (95% CI, 70-100%), NPV = 92% (95% CI, 86-98%); (3) as needed medications: antiemetics: PPV = 78% (95% CI, 62-95%), NPV = 96% (95% CI, 91-100%); asthma: PPV = 33% (95% CI, 3-64%), NPV = 99% (95% CI, 97-100%).

CONCLUSION

The high PPV and NPV validate the use of filled prescription data in large databases as a measure of medication exposure. Birth Defects Research 109:423-431, 2017. © 2017 Wiley Periodicals, Inc.

Reliability of self-reported recent antibiotic use among the general population: a cross-sectional study

OBJECTIVES

This study aimed at evaluating the reliability of self-reported recent antibiotic use, including ability to name the antibiotic, among pharmacy customers from the general population.

METHODS

This cross-sectional observational study of adults took place in pharmacies in northeastern France from January to April 2016. Participants were asked if they had used any antibiotics in the preceding 4 months and if so, to name them. Their reports were compared with an electronic pharmacy dispensing record listing all of the medication dispensed to them in France.

RESULTS

The study included 653 individual customers from 15 pharmacies. Antibiotics had been dispensed 325 times, according to the records, but the patients reported only 237 courses of treatment. Agreement between self-report and the electronic record about whether or not they had used an antibiotic was 80% (κ 0.60). Among the discordant responses, 57% (81/143) involved underreporting. Only 24% (79/325) of the patients could name the antibiotic for each course of treatment; 49% (160/325) could not. The multivariate analysis showed that patients who had purchased an antibiotic in the previous 30 days were 2.5 times more likely to know its name (p 0.01).

CONCLUSIONS

Participants' self-reports were relatively reliable for recent use of an antibiotic, but not for its name. Because physicians cannot base prescription decisions on these self-reports only, an electronic pharmacy dispensing file shared among prescribers would be useful.

Validation of maternal recall of early pregnancy medication exposure using prospective diary data

PURPOSE

Data about maternal recall accuracy for classifying early pregnancy medication exposure are meager. Nonetheless, studies often rely on recall to evaluate potential impact of pharmaceuticals on the developing fetus.

METHODS

Right from the Start is a community-based pregnancy cohort that enrolled women from North Carolina, Tennessee, and Texas. A subset of 318 women participated in daily medication diaries initiated before conception (2006-2012). We examined nonsteroidal anti-inflammatory drugs (NSAIDs) as an example of a drug type that is difficult to study due to its intermittent and primarily over-the-counter use as well as its incomplete documentation in medical and pharmaceutical records. Selective serotonin reuptake inhibitors (SSRI) were assessed as a prescription medication comparator. Maternal recall of NSAID and SSRI use in early pregnancy was examined by comparing diary data (gold standard) to first-trimester interview.

RESULTS

Sensitivity and specificity for recall of NSAID exposure were 78.6% and 62.3%, respectively (kappa statistic: 0.41), with 72.3% agreement for exposure classification. Sensitivity and specificity for recall of SSRI exposure were 77.8% and 99.0%, respectively (kappa statistic: 0.79), with 97.8% agreement.

CONCLUSIONS

Our findings suggest the validity of maternal recall varies with medication type and prospective data collection should be prioritized when studying early pregnancy drug exposures.

A valuable approach to the use of electronic medical data in primary care research: Panning for gold

Background:

Electronic medical data (EMD) from electronic health records of general practice computer systems have enormous research potential, yet many variables are unreliable.

Objective:

The aim of this study was to compare selected data variables from general practice EMD with a reliable, representative national dataset (Bettering the Evaluation and Care of Health (BEACH)) in order to validate their use for primary care research.

Method:

EMD variables were compared with encounter data from the nationally representative BEACH program using χ2 tests and robust 95% confidence intervals to test their validity (measure what they reportedly measure). The variables focused on for this study were patient age, sex, smoking status and medications prescribed at the visit.

Results:

The EMD sample from six general practices in the Illawarra region of New South Wales, Australia, yielded data on 196,515 patient encounters. Details of 90,553 encounters were recorded in the 2013 BEACH dataset from 924 general practitioners. No significant differences in patient age ( p = 0.36) or sex ( p = 0.39) were found. EMD had a lower rate of current smokers and higher average scripts per visit, but similar prescribing distribution patterns.

Conclusion:

Validating EMD variables offers avenues for improving primary care delivery and measuring outcomes of care to inform clinical practice and health policy.

Discordant reporting of nonmedical opioid use in a nationally representative sample of US high school seniors

BACKGROUND

Nonmedical opioid use has become a major public health concern due to increases in treatment admissions, overdoses, and deaths. Use has also been linked to heroin initiation. Reliable data on nonmedical opioid use are needed to continue to inform prevention.

OBJECTIVE

To determine the prevalence and correlates of discordant self-report of nonmedical use of opioids in a national sample.

METHODS

Utilizing a nationally representative sample of 31,149 American high school seniors in the Monitoring the Future study (2009-2013), discordant responses between self-reported 12-month nonmedical opioid use and self-reported 12-month nonmedical Vicodin and OxyContin use (reporting Vicodin/OxyContin use, but not reporting "opioid" use) were assessed. We also used multivariable logistic regression to determine the characteristics of students who were most likely to provide a discordant response.

RESULTS

37.1% of those reporting nonmedical Vicodin use and 28.2% of those reporting nonmedical OxyContin use did not report overall nonmedical opioid use. Prevalence of nonmedical opioid use (8.3%) would increase when factoring in Vicodin, OxyContin, or both, by 2.8%, 1.3%, and 3.3%, respectively. Females were more likely to provide a discordant response to Vicodin and highly religious students were more likely to provide a discordant response regarding OxyContin use. Those who reported cocaine or nonmedical tranquilizer use were at consistently low odds for discordant responses. Nonmedical amphetamine users were at low odds for providing a discordant Vicodin response.

CONCLUSION

Prevalence of nonmedical opioid use may be underreported on some surveys, particularly among specific subpopulations. Further research on the effect of question order and skip-patterns (e.g., "gate" questions) is needed. Reliable data on nonmedical opioid use are needed to continue to accurately inform prevention.

Clinical correlates of prescription opioid analgesic use in pregnancy

A 2012 committee opinion from the American College of Obstetricians and Gynecologists highlights the considerable increase in opioid addiction in recent years, yet little is known about clinical correlates of prescribed opioids among pregnant women. This study examines clinical and demographic factors associated with the use of opioid analgesics in pregnancy. Data were derived from a prospective cohort study of pregnant women. Participants were administered the Composite International Diagnostic Interview to identify depressive and anxiety disorders and data on medication use were gathered at three assessment points and classified according to the Anatomical Therapeutic Chemical Code (ATC) classification system ATC group N02A. Participants included 2,748 English or Spanish speaking pregnant women. Six percent (n = 165) of women used opioid analgesics at any point in pregnancy. More pregnant women using opioids met diagnostic criteria for major depressive disorder (16 vs. 8 % for non users), generalized anxiety disorder (18 vs. 9 % for non users), post-traumatic stress disorder (11 vs. 4 % for non users) and panic disorder (6 vs. 4 % for non users). Women who reported opioid use were also significantly more likely than non users to report using illicit drugs and almost three times as likely to report smoking cigarettes in the second or third trimester of pregnancy (4 and 23 %, respectively) as compared to non-opioid users (0.5 and 8 %). The use of opioids in pregnancy was associated with higher levels of psychiatric comorbidity and use of other substances as compared to non-opioid users.

Medication use during pregnancy, gestational age and date of delivery: agreement between maternal self-reports and health database information in a cohort

Background

Health databases are a promising resource for epidemiological studies on medications safety during pregnancy. The reliability of information on medications exposure and pregnancy timing is a key methodological issue. This study (a) compared maternal self-reports and database information on medication use, gestational age, date of delivery; (b) quantified the degree of agreement between sources; (c) assessed predictors of agreement.

Methods

Pregnant women recruited in a prenatal clinic in Friuli Venezia Giulia (FVG) region, Italy, from 2007 to 2009, completed a questionnaire inquiring on medication use during pregnancy, gestational age and date of delivery. Redeemed prescriptions and birth certificate records were extracted from regional databases through record linkage. Percent agreement, Kappa coefficient, prevalence and bias-adjusted Kappa (PABAK) were calculated. Odds Ratio (OR), with 95 % confidence interval (95 % CI), of ≥1 agreement was calculated through unconditional logistic regression.

Results

The cohort included 767 women, 39.8 % reported medication use, and 70.5 % were dispensed at least one medication. Kappa and PABAK indicated almost perfect to substantial agreement for antihypertensive medications (Kappa 0.86, PABAK 0.99), thyroid hormones (0.88, 0.98), antiepileptic medications (1.00, 1.00), antithrombotic agents (0.70, 0.96). PABAK value was greater than Kappa for medications such as insulin (Kappa 0.50, PABAK 0.99), antihistamines for systemic use (0.50, 0.99), progestogens (0.28, 0.79), and antibiotics (0.12, 0.63). Adjusted OR was 0.48 (95 % CI 0.26; 0.90) in ex- vs. never smokers, 0.64 (0.38; 1.08) in < high school vs. university, 1.55 (1.01; 2.37) in women with comorbidities, 2.25 (1.19; 4.26) in those aged 40+ vs. 30–34 years.

Gestational age matched exactly in 85.2 % and date of delivery in 99.5 %.

Conclusions

For selected medications used for chronic conditions, the agreement between self-reports and dispensing data was high. For medications with low to very low prevalence of use, PABAK provides a more reliable measure of agreement. Maternal reports and dispensing data are complementary to each other to increase the reliability of information on the use of medications during pregnancy. Birth certificates provide reliable data on the timing of pregnancy. FVG health databases are a valuable source of data for pregnancy research.

Electronic supplementary material

The online version of this article (doi:10.1186/s12884-015-0745-3) contains supplementary material, which is available to authorized users.

Opioid misuse among adolescents: new evidence from a misclassification analysis

BACKGROUND

Non-medical prescription-opioid (NMPO) use has been declared a national epidemic in the US. Opioid misuse is associated with substantial physiological, psychological, and concomitant economic implications. NMPO use among adolescents warrants special attention given its prevalence and the high risk of addiction.

OBJECTIVES

Our objectives were to: (a) identify factors associated with adolescent NMPO use after controlling for misclassification, while simultaneously identifying characteristics that affected the likelihood of misreporting use; and (b) identify factors associated with an individual misusing their own versus a diverted prescription, and the likelihood that the prescription source was misreported.

METHODS

Data come from the Washington State Healthy Youth Survey. A maximum likelihood estimation technique for systematically misclassified binary-dependent variables was utilized. Covariates were chosen to represent influential factors identified in the theoretical adolescent development literature.

RESULTS

An estimated 35 % of respondents who stated that they had never misused prescription opioids most likely had. An estimated 17 % of those who admitted to NMPO use claimed to have misused a diverted prescription, but most likely misused their own. Various demographic, school, neighborhood, family, substance-use, personality/attitude, and social factors were identified as potential predictors of adolescent NMPO use, opioid-prescription source, and misclassification of responses to each outcome.

CONCLUSIONS

The finding that a self-reported survey failed to identify over one-third of individuals at risk for NMPO use is concerning, as is the finding that approximately 17 % of those who admitted to NMPO use may have misstated their prescription-opioid source. The findings presented here are critical to focus prevention efforts, especially for identifying at-risk youths who may misrepresent their use.

Identification and management of prescription drug abuse in pregnancy

Prescription drug abuse is a growing problem in the United States and many other countries. Estimates of prescription drug abuse rates during pregnancy range from 5% to 20%. The primary prescription drugs designated as controlled drugs with abuse potential in pregnancy are opiates prescribed for pain, benzodiazepines prescribed for anxiety, and stimulants prescribed for attention-deficit/hyperactivity disorder. Prescription drugs are obtained for abuse through diversion methods, such as purchasing them from others or by doctor shopping. The use of prescription drugs puts both the mother and the fetus at high risk during pregnancy. Identification of women who are abusing prescription drugs is important so that treatment can be ensured. It is crucial for healthcare professionals to use a multidisciplinary approach and be supportive and maintain a good rapport with pregnant women who abuse prescription drugs. Management includes inpatient hospitalization for detoxification and withdrawal symptoms, and in the case of opiate abuse, opiate maintenance is recommended for pregnant women for the duration of their pregnancy to reduce relapse rates and improve maternal and fetal outcomes. Other recommendations include referral for support groups and supportive housing.

Effects of pain and prescription opioid use on outcomes in a collaborative care intervention for anxiety

OBJECTIVE

To determine the effects of pain and opioid pain medication use on clinical and functional outcomes in 1004 primary care patients with an anxiety disorder randomized to receive the Coordinated Anxiety Learning and Management (CALM) collaborative care intervention (cognitive-behavioral therapy and/or medication) versus usual care.

METHODS

A total of 1004 patients with panic disorder, generalized anxiety disorder, social anxiety disorder, or posttraumatic stress disorder were randomized to CALM or usual care. Outcomes at 6, 12, and 18 months were compared in patients with and without moderate pain interference (for the entire anxiety disorder group and then just those with comorbid major depression) and in patients taking and not taking opioid medication (entire group, just those with comorbid major depression, and just those with moderate pain interference).

RESULTS

Patients with pain interference and patients taking opioid pain medication were more anxious [Brief Symptom Inventory anxiety subscale] and disabled (Sheehan Disability) at baseline, improved over time at similar rates, but at 18 months had lower response and remission rates. There was no moderating effect on the intervention. In patients with comorbid major depression, patients using opioid medications showed a trend for less disability improvement over time, and in patients with pain, patients using opioids showed less sustained anxiety response at 18 months.

CONCLUSIONS

Anxious patients with pain benefit as much as those without pain from cognitive-behavioral therapy and medication treatment. Among patients with pain, however, there is some evidence of a reduced anxiety treatment response in those taking opioid medication, which should be further studied.