Validating Claims-Based Algorithms Determining Pregnancy Outcomes and Gestational Age Using a Linked Claims-Electronic Medical Record Database

Use of Biologics During Pregnancy Among Patients With Autoimmune Conditions

Importance

Continuation of biologics in patients with an autoimmune condition who become pregnant involves weighing consequences of pregnancy-related changes in disease severity and potential teratogenic effects of medications. Characterization of biologic treatment patterns during pregnancy may provide insight into maternal and fetal risks and benefits.

Objective

To describe the utilization pattern of biologics in pregnant individuals with autoimmune conditions.

Design, Setting, and Participants

This cohort study used data from Merative MarketScan Research Databases, which contain administrative claims of commercially insured individuals in the US. Pregnant patients aged 16 to 55 years with an autoimmune condition and biologic use 6 months before conception between January 1, 2011, and December 31, 2022, were included. The data were analyzed between October 15, 2024, and February 28, 2025.

Exposure

Use of biologics for autoimmune disease after conception.

Main Outcomes and Measures

The proportion of patients who used biologics for Crohn disease, ulcerative colitis, psoriasis or psoriatic arthritis, rheumatoid arthritis, ankylosing spondylitis, systemic lupus erythematosus, and multiple sclerosis was assessed, and the association between underlying autoimmune disease and use of biologics during pregnancy was measured using multivariable logistic regression.

Results

A total of 6131 pregnant patients (median [IQR] age, 32 [29-36] years) with an autoimmune condition were included. The most prevalent conditions were Crohn disease (1372 patients [25.6%]) and rheumatoid arthritis (1295 patients [24.1%]). Of all patients, 4393 (71.6%; 95% CI, 70.5%-72.8%) used biologics at least once during pregnancy. Among pregnancies with live birth outcomes, biologic use declined throughout gestation, with 2981 patients (68.6% [95% CI, 67.2%-70.0%]), 2555 patients (58.8% [95% CI, 57.3%-60.3%]), and 2113 patients (48.6% [95% CI, 47.1%-50.1%]) using biologics during the first, second, and third trimesters, respectively, and 3350 patients (77.1% [95% CI, 75.8%-78.3%]) using them post partum. Compared with pregnant patients with rheumatoid arthritis, those with Crohn disease (odds ratio [OR], 7.88 [95% CI, 5.93-10.47]) and ulcerative colitis (OR, 5.35 [95% CI, 3.73-7.66]) were more likely to use biologics, while those with psoriasis or psoriatic arthritis (OR, 0.65 [95% CI, 0.52-0.80]) were less likely.

Conclusions and Relevance

In this cohort study, a decline in the use of biologics for autoimmune disease was observed during the pregnancy period that rebounded only partially thereafter. Notable variations in use across autoimmune conditions suggest that indication-specific risk-benefit assessments of biologic use are needed.

COVID-19 Vaccination During Pregnancy and Major Structural Birth Defects

BACKGROUND AND OBJECTIVES

COVID-19 vaccination is recommended during pregnancy; however, evidence on the prevalence of major structural birth defects born to people vaccinated early in pregnancy (≤20 weeks of gestation) is limited. We compared the prevalence of major structural birth defects by COVID-19 vaccination status and key strata: insurance provider, clinically diagnosed SARS-CoV-2 infection during pregnancy, and concomitant administration of other maternal vaccines. We also compared, head-to-head, the prevalence of birth defects by brand (Moderna mRNA-1273 vs Pfizer-BioNTech BNT162b2).

METHODS

A claims-based cohort study captured pregnancies ending in a live birth among people with an estimated last menstrual period between August 15, 2021, and December 24, 2021. Prevalence ratios comparing birth defects by exposure to COVID-19 vaccines were estimated using binomial regression with inverse probability treatment weights.

RESULTS

Among 78 052 pregnancies, we identified 1248 major structural birth defects (1049 [160.6 per 10 000 live births] among unvaccinated people and 199 [156.4 per 10 000 live births] among vaccinated people). No differences in the prevalence of major structural birth defects were observed given COVID-19 vaccination (adjusted prevalence ratio [aPR], 0.96; 95% CI, 0.81-1.13). Findings were unchanged by insurance provider, SARS-CoV-2 infection during pregnancy, and concomitant of other maternal vaccines. No differences in the prevalence of birth defects were observed among vaccinated people by brand (aPR, 1.02; 95% CI, 0.77-1.37).

CONCLUSIONS

COVID-19 vaccination during early pregnancy is not associated with an increased prevalence of major structural birth defects in infants. These results support the safety of COVID-19 vaccination in early pregnancy.

COVID-19 Antiviral Medication Use Among Pregnant and Recently Pregnant US Outpatients

BACKGROUND

Pregnant people are at risk of severe coronavirus disease 2019 (COVID-19) and associated complications. While withholding treatment from pregnant patients is not recommended, little is known about the frequency of antiviral medication use during pregnancy.

METHODS

Using Medicaid and commercial insurance databases, we constructed a national claims-based cohort study of pregnant, recently pregnant, and nonpregnant female patients 18-49 years old with an outpatient diagnosis of COVID-19 between 21 December 2021 and 30 September 2022. Outpatient treatment with a recommended antiviral medication was identified within 5 days of diagnosis, using national drug codes in outpatient prescription drug claims. Propensity score-matched prevalence ratios (PRs) were used to compare antiviral treatment by pregnancy status.

RESULTS

A total of 412 755 publicly and privately insured patients with COVID-19 were identified, including 33 855 currently pregnant, 2460 recently pregnant, and 376 440 nonpregnant female patients; 6.8% had a record of antiviral medication use, including 1.3% of pregnant, 5.4% of recently pregnant, and 7.3% of nonpregnant women. Most commonly ritonavir-boosted nirmatrelvir was administered. The prevalence of antiviral medication use was 67% lower among pregnant patients compared with nonpregnant patients (PR, 0.33 [95% confidence interval, .30-.36]), even among patients with ≥1 high-risk medical condition (0.29 [.25-.33]). Antiviral medication use was slightly lower among recently pregnant women with ≥1 high-risk medical condition than among nonpregnant women with similar conditions (PR, 0.57; [95% confidence interval, .44-.72]).

CONCLUSIONS

Despite US clinical guidelines, we observed low rates of outpatient treatment for COVID-19 among pregnant patients, indicating possible missed opportunities to treat COVID-19 illness during pregnancy and lactation.

Uptake of Recommended Vaccines During Pregnancy Among Publicly and Privately Insured People in the United States, December 2020-September 2022

Objectives. To estimate maternal COVID-19, influenza, and pertussis vaccine uptake during pregnancy by insurance type and identify factors characterizing those vaccinated and unvaccinated. Methods. We conducted a US cohort study of pregnant individuals (for pregnancies ending December 11, 2020-September 30, 2022) using insurance claims data. We calculated vaccination probability using Kaplan-Meier methods and identified factors associated with vaccination through binomial regression with inverse probability weights. Results. Among 695 887 pregnant individuals (median age = 32 years for privately and 27 years for publicly insured), the cumulative probability of COVID-19 vaccination was 43.0% (privately insured) and 11.8% (publicly insured). We observed marked disparities between influenza (33.2% vs 14.2%) and pertussis (70.3% vs 42.8%) vaccination. Only 6.8% (privately insured) and 1.1% (publicly insured) received all 3 vaccines. COVID-19 and influenza vaccination odds were lower among drug and tobacco users. People with high-risk medical conditions, particularly the publicly insured, commonly were vaccinated. Conclusions. Marked vaccine uptake disparities exist between privately and publicly insured pregnant people. Understanding structural barriers, particularly for Medicaid enrollees, is critical to improving maternal vaccine access. (Am J Public Health. 2025;115(3):354-363. https://doi.org/10.2105/AJPH.2024.307899).

PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal Complications

While medication intake is common among pregnant women, medication safety remains underexplored, leading to unclear guidance for patients and healthcare professionals. PregMedNet addresses this gap by providing a multifaceted maternal medication safety framework based on systematic analysis of 1.19 million mother-baby dyads from U.S. claims databases. A novel confounding adjustment pipeline was applied to systematically control confounders for multiple medication-disease pairs, robustly identifying both known and novel maternal medication effects. Notably, one of the newly discovered associations was experimentally validated, demonstrating the reliability of claims data and machine learning for perinatal medication safety studies. Additionally, potential biological mechanisms of newly identified associations were generated using a graph learning method. These findings highlight PregMedNet's value in promoting safer medication use during pregnancy and maternal-neonatal outcomes.

Teratogenic Risk Impact and Mitigation (TRIM): Study Protocol for the Development of a Decision Support Tool to Prioritize Medications for Risk Mitigation

INTRODUCTION

Preventing prenatal exposure to teratogenic medications is an important goal of regulatory risk mitigation efforts. In the USA, as of March 2024, 11 teratogenic medications have a required Risk Evaluation and Mitigation Strategy (REMS) program. It is unclear whether these programs target those medications with the most significant impact on public health and adverse pregnancy outcomes.

OBJECTIVES

This study aims to develop an innovative decision support tool that uses explicit, quantifiable criteria to facilitate prioritization of teratogenic medications for risk mitigation strategies.

METHODS

The Teratogenic Risk Impact and Mitigation (TRIM) decision support tool will be developed by a national panel via a modified Delphi approach to define measurable criteria, and a multi-criteria decision analysis to estimate criteria weights within a discrete choice experiment. The TRIM scores will then be calculated for 12 teratogenic drugs with active or eliminated REMS programs and for 12 teratogenic drugs without REMS. These drugs will be identified based on highest prenatal exposure prevalence in claims data of privately and publicly insured individuals. Data for the TRIM criteria levels for these 24 drugs will be identified from evidence searches and ad hoc analyses of the same claims data.

CONCLUSIONS

Teratogenic Risk Impact and Mitigation is intended to inform regulatory decision making about the need for risk mitigation programs for teratogenic medications by providing explicit, quantifiable, evidence-based criteria. The TRIM scores of 24 teratogenic drugs may provide benchmarks for considering REMS for marketed and new teratogenic medications.

Measuring abortion in claims data: What is the state of the science?

Health care insurance claims are an increasingly common data source for health outcomes research. While researchers have successfully used several claims data sources for many obstetric and gynecologic questions, the use of claims data for abortion and contraception research poses a number of challenges. In this update on the state of the science in identifying abortion in claims data, we review claims data generally, describe commonly used claims data sources, and detail specific reasons why abortion may be underestimated in claims even when employing best practices. We provide examples of successful approaches for identifying abortion in claims and importantly, spell out limitations when making comparisons across site of care, states, and policy contexts. As increased attention is turned to identifying abortion across diverse settings, it is critical best practices are applied so that the most appropriate inferences regarding abortion incidence across contexts over time are drawn.

Utilisation patterns of immunomodulators and pregnancy outcomes in systemic lupus erythematosus: Insights from Korean national data

OBJECTIVES

To investigate the trends in immunomodulator use and pregnancy outcomes among pregnant women with systemic lupus erythematosus (SLE), a condition requiring medication to maintain disease activity.

METHODS

This descriptive study used data from the National Health Information Database in Korea from 2002 to 2018. We included 5,044 pregnancies initiated between 2005 and 2017 in 3,120 SLE patients. Annual trends in SLE therapy, drug utilisation patterns during the preconception and pregnancy periods, and pregnancy outcomes were analysed.

RESULTS

Pregnancy compatible immunosuppressant (PC-IS) and hydroxychloroquine use during the first trimester were 10.7% and 41.4%, respectively. Most SLE medications exhibited a decline in usage from the preconception period to the first trimester. A prescription rate of 0.9% for pregnancy incompatible immunosuppressants (PIC-IS) was observed during the first trimester, and the incidence of live births, stillbirths, and abortions remained consistent from 2005 to 2017.

CONCLUSIONS

Insufficient usage of hydroxychloroquine and PC-IS, along with a reduction in PIC-IS usage primarily during early pregnancy rather than before conception, highlights the unmet need for preconceptional family planning with appropriate medication management strategies in SLE pregnancies.

Development and validation of an algorithm to better identify pregnant women with inherited bleeding disorders within electronic health records

BACKGROUND

When using electronic health records (EHRs) to conduct population-based studies on inherited bleeding disorders (IBDs), using diagnosis codes alone results in a high number of false positive identifications.

OBJECTIVE

The objective of this study was to develop and validate an algorithm that uses multiple data elements of EHRs to identify pregnant women with IBDs.

METHODS

The population included pregnant women who had at least one live birth or fetal death (>20 weeks gestation) at our institution from 2016 to 2023. We iteratively developed the algorithm using a composite criteria of encounter diagnosis codes, laboratory and medications data. We assessed the performance of the algorithm for sensitivity and positive predictive value (PPV) using our local registry and manual chart review.

RESULTS

Using the source population between 2016 and 2020, the initial algorithm identified 25 pregnant women with IBDs. Eight women with a known diagnosis of an IBD were missed resulting in a sensitivity of 75.8 % and a PPV of 100 %. We revised the algorithm to remove certain IBD diagnosis codes that resulted in contamination and added additional criteria to improve the sensitivity. The revised algorithm had a sensitivity of 97.0 % and a PPV of 91.4 %. The revised algorithm was validated using the source population between 2021 and 2023 and had a sensitivity of 97.1 % and a PPV of 91.7 %.

CONCLUSION

This study demonstrates the utility of an algorithm to better identify pregnant women with specific types of IBD, mainly hemophilia and hemophilia carriers, and von Willebrand disease, within EHRs.

Integrating Ambulatory Care Pharmacists Into Value-Based Primary Care: A Scalable Solution to Chronic Disease

INTRODUCTION/OBJECTIVES

Patients living with chronic diseases require more medical attention, including more visits to primary care. However, primary care providers are overburdened, and this specialty is attracting fewer new providers than before. Clinical pharmacists can augment these efforts by improving disease state control. In this cohort study, we aimed to demonstrate a retail pharmacy hired and trained clinical pharmacist within a value-based primary care clinic network can improve hypertension (HTN) and type 2 diabetes mellitus (T2DM) control.

METHODS

In this cohort study, a pharmacist, enabled by a collaborative drug therapy management agreement, prescribed and titrated therapies for HTN and T2DM. Primary outcomes were pre- to post-index changes in hemoglobinA1c, systolic, and diastolic blood pressure (BP) measures.

RESULTS

The HTN cohort consisted of 43 patients and the T2DM cohort consisted of 125 patients. The difference-in-differences (β) in the HTN group was -10.2 mmHg (P < .01) for systolic BP and -2.0 mmHg (P = .42) for diastolic BP. The β in the T2DM group was -1.16% (P < .001).

CONCLUSIONS

Statistically significant reductions in systolic BP and hemoglobinA1c were observed in the pharmacist-managed group compared with matched controls. These results demonstrate that pharmacist integration into a value based primary care clinic may improve measures of chronic disease associated with morbidity and mortality.

Evaluating an ICD-10 Based Proxy for Date of Birth in Electronic Health Record Data

PURPOSE

To comply with the Health Insurance Portability and Accountability Act of 1996 (HIPAA) Privacy Rule, many real-world data providers mask a patient's date of birth by supplying only year of birth to data users. The lack of granularity around patient age is a challenge when using RWD, especially for pediatric research studies. In this study, a proxy for patient date of birth is evaluated using electronic health record (EHR) data.

METHODS

This validation study leverages a retrospective cohort of EHR data from Mass General Brigham (MGB) patients born between January 1, 2018, and December 31, 2022, to assess the use of the date of a patient's first observed International Classification of Diseases 10th Revision Clinical Modification (ICD-10-CM) day-of birth code (Z37* or Z38*) as a proxy for date of birth. Alternative proxy measures such as date of first other infancy-related ICD-10-CM code and date of first clinical activity were also assessed.

RESULTS

Of 82 398 patients born during the five-year study period, 58 047 (70.4%) had an ICD-10-CM birth code and were included in the primary analysis. The mean difference between true date of birth and first observed birth code was 0.3 days with a standard deviation of 15.0 days. The first observed birth code occurred within 30 days of the true date of birth in 99.9% of cases.

CONCLUSION

Results from this study suggest that the date of the first day-of ICD-10-CM birth code can be used as a proxy for true patient date of birth in pediatric RWD studies.

Association Between SARS-CoV-2 Infection During Pregnancy and Gestational Diabetes: A Claims-based Cohort Study

INTRODUCTION

Coronavirus disease 2019 (COVID-19) may be associated with gestational diabetes mellitus (GDM); however, evidence is limited by sample sizes and lack of control groups.

METHODS

To assess the GDM risk after COVID-19 in pregnancy, we constructed a retrospective cohort of pregnancies ending March 2020-October 2022 using medical claims. People with COVID-19 diagnosis claims from conception to 21 gestational weeks (n = 57 675) were matched 1:2 to those without COVID-19 during pregnancy (n = 115 350) by age range, pregnancy start month, and encounter year-month. GDM (claim ≥23 gestational weeks) relative risk and risk difference overall, by race and ethnicity, and variant period were estimated using log-binomial models.

RESULTS

GDM risk was higher among those with COVID-19 during pregnancy compared to those without (adjusted risk ratio [aRR] = 1.12; 95% confidence interval [CI], 1.08-1.15). GDM risk was significantly associated with COVID-19 in non-Hispanic White (aRR = 1.08; 95% CI, 1.04-1.14), non-Hispanic Black (aRR = 1.15; 95% CI, 1.07-1.24), and Hispanic (aRR = 1.17; 95% CI, 1.10-1.24) groups. GDM risk was significantly higher during pre-Delta (aRR = 1.17; 95% CI, 1.11-1.24) compared to Omicron (aRR = 1.07; 95% CI, 1.02-1.13) periods, but neither differed from the Delta period (aRR = 1.10; 95% CI, 1.04-1.17). The adjusted risk difference was 0%-2% for all models.

CONCLUSIONS

COVID-19 during pregnancy was modestly associated with GDM in claims-based data, especially during earlier SARS-CoV-2 variant periods. Because these associations are based on COVID-19 in claims data, studies employing systematic testing are warranted.

Maternal influenza vaccination and associated risk of fetal loss: A claims-based prospective cohort study

BACKGROUND

Although numerous studies support the safety of influenza vaccination during pregnancy, fewer studies have evaluated the risk of miscarriage or considered the effect of prior immunization.

METHODS

Using national de-identified administrative claims data from the Optum Labs Data Warehouse, we conducted a claims-based cohort study of 117,626 pregnancies between January 2009 and December 2018. We identified pandemic A(H1N1)pdm09 and seasonal influenza vaccinations using CPT codes. Fetal loss was defined as miscarriage, medical termination, or stillbirth as identified by ICD-10-CM diagnostic codes. Cox proportional hazard models treating influenza vaccination as a time-varying exposure, weighted for loss-to-follow-up and stratified by baseline probability of vaccination, were used to model the risk of fetal loss by exposure to influenza vaccine.

RESULTS

About 31.4 % of the cohort had a record of influenza vaccination; 10.0 % were vaccinated before pregnancy only, 17.8 % during pregnancy only, and 3.6 % before and during pregnancy. The risk of miscarriage was 39 % lower among those vaccinated during pregnancy compared to unvaccinated (adjusted hazard ratio, aHR 0.61; 95 % CI 0.50, 0.74) and was similar for medical termination or stillbirth (HR 0.69; 95 % CI 0.45, 1.03 and aHR 0.99; 95 % CI 0.76, 1.30, respectively). Similar results were observed for women who received the vaccine before and during pregnancy. We observed little to no association between vaccination before pregnancy and risk of miscarriage (HR 0.98; 95 % CI 0.76, 1.26), medical termination (HR 1.02; 95 % CI 0.46, 2.24), or stillbirth (HR 1.14, 95 % CI 0.77, 1.69).

DISCUSSION

Influenza vaccination was not associated with an increased risk of fetal loss. These results support the safety of influenza vaccine administration even when administered before or early during pregnancy.

Use of Prescription Antiemetics Among US Commercially Insured Pregnant Patients, 2005-2019

This cohort study investigates prescription antiemetic treatment patterns considering monotherapy, switching, and combination therapy during the first trimester of pregnancy and evaluates factors associated with ondansetron use.

Use of the Sentinel System to Examine Medical Product Use and Outcomes During Pregnancy

While many pregnant individuals use prescription medications, evidence supporting product safety during pregnancy is often inadequate. Existing electronic healthcare data sources provide large, diverse samples of health plan members to allow for the study of medical product utilization during pregnancy, as well as pregnancy, maternal, and infant outcomes. The Sentinel System is a national medical product surveillance system that includes administrative claims and electronic health record databases from large national and regional health insurers. In addition to these data sources, Sentinel develops and maintains a sizeable selection of analytic tools to facilitate epidemiologic analyses in a way that protects patient privacy and health system autonomy. In this article, we provide an overview of Sentinel System infrastructure, including the Mother-Infant Linkage Table, parameterizable analytic tools, and algorithms to estimate gestational age and identify pregnancy outcomes. We also describe past and future Sentinel work that contributes to our understanding of the way medical products are used and the safety of these products during pregnancy.

Effective Privacy Protection Strategies for Pregnancy and Gestation Information From Electronic Medical Records: Retrospective Study in a National Health Care Data Network in China

BACKGROUND

Pregnancy and gestation information is routinely recorded in electronic medical record (EMR) systems across China in various data sets. The combination of data on the number of pregnancies and gestations can imply occurrences of abortions and other pregnancy-related issues, which is important for clinical decision-making and personal privacy protection. However, the distribution of this information inside EMR is variable due to inconsistent IT structures across different EMR systems. A large-scale quantitative evaluation of the potential exposure of this sensitive information has not been previously performed, ensuring the protection of personal information is a priority, as emphasized in Chinese laws and regulations.

OBJECTIVE

This study aims to perform the first nationwide quantitative analysis of the identification sites and exposure frequency of sensitive pregnancy and gestation information. The goal is to propose strategies for effective information extraction and privacy protection related to women's health.

METHODS

This study was conducted in a national health care data network. Rule-based protocols for extracting pregnancy and gestation information were developed by a committee of experts. A total of 6 different sub-data sets of EMRs were used as schemas for data analysis and strategy proposal. The identification sites and frequencies of identification in different sub-data sets were calculated. Manual quality inspections of the extraction process were performed by 2 independent groups of reviewers on 1000 randomly selected records. Based on these statistics, strategies for effective information extraction and privacy protection were proposed.

RESULTS

The data network covered hospitalized patients from 19 hospitals in 10 provinces of China, encompassing 15,245,055 patients over an 11-year period (January 1, 2010-December 12, 2020). Among women aged 14-50 years, 70% were randomly selected from each hospital, resulting in a total of 1,110,053 patients. Of these, 688,268 female patients with sensitive reproductive information were identified. The frequencies of identification were variable, with the marriage history in admission medical records being the most frequent at 63.24%. Notably, more than 50% of female patients were identified with pregnancy and gestation history in nursing records, which is not generally considered a sub-data set rich in reproductive information. During the manual curation and review process, 1000 cases were randomly selected, and the precision and recall rates of the information extraction method both exceeded 99.5%. The privacy-protection strategies were designed with clear technical directions.

CONCLUSIONS

Significant amounts of critical information related to women's health are recorded in Chinese routine EMR systems and are distributed in various parts of the records with different frequencies. This requires a comprehensive protocol for extracting and protecting the information, which has been demonstrated to be technically feasible. Implementing a data-based strategy will enhance the protection of women's privacy and improve the accessibility of health care services.

Internal validation of gestational age estimation algorithms in health-care databases using pregnancies conceived through fertility procedures

Fertility procedures recorded in health-care databases can be used to estimate the start of pregnancy, which can serve as a reference standard to validate gestational age estimates based on International Classification of Diseases codes. In a cohort of 17 398 US MarketScan pregnancies (2011-2020) in which conception was achieved via fertility procedures, we estimated gestational age at the end of pregnancy using algorithms based on (1) time (days) since the fertility procedure (the reference standard); (2) International Classification of Diseases, Ninth Revision (ICD-9)/International Classification of Diseases, Tenth Revision (ICD-10) (before/after October 2015) codes indicating gestational length recorded at the end of pregnancy (method A); and (3) ICD-10 end-of-pregnancy codes enhanced with Z3A codes denoting specific gestation weeks recorded at prenatal visits (method B). We calculated the proportion of pregnancies with an estimated gestational age falling within 14 days ($\pm$14 days) of the reference standard. Method A accuracy was similar for ICD-9 and ICD-10 codes. After 2015, method B was more accurate than method A: For term births, within-14-day agreement was 90.8% for method A and 98.7% for method B. Corresponding estimates were 70.1% and 95.6% for preterm births; 35.3% and 92.6% for stillbirths; 54.3% and 64.2% for spontaneous abortions; and 16.7% and 84.6% for elective terminations. ICD-10-based algorithms that incorporate Z3A codes improve the accuracy of gestational age estimation in health-care databases, especially for preterm births and non-live births.

Patterns of disease-modifying therapy utilization before, during, and after pregnancy and postpartum relapses in women with multiple sclerosis

BACKGROUND

Pregnancy is a common consideration for people with multiple sclerosis (pwMS); MS onset is typically between 20 and 45 years of age, during potential child-bearing years. Pregnancy and postpartum care are a significant factor influencing disease-modifying therapy (DMT) selection for many pwMS. To date, few DMTs are considered safe to continue during pregnancy and real-world treatment patterns before, during, and after pregnancy remain uncharacterized. Evolving guidance is needed regarding how to optimize management of the pregnancy and postpartum periods considering the changing DMT landscape. This analysis in two large claims databases describes DMT utilization for the treatment of MS before, during, and after pregnancy and relapse patterns during pregnancy and postpartum.

METHODS

In this retrospective, observational study, the US MarketScan Commercial and Medicaid claims database was assessed for female patients aged 18-55 years with ≥1 insurance claim submitted under the diagnosis code of MS from 01 January 2016-30 April 2021 and continuous enrollment eligibility from ≥6 months prior to pregnancy date (preconception) through 6 months of follow-up following delivery (postpartum period). Comorbid conditions were examined preconception and postpartum, including anxiety and depression. Moderate/severe relapse was defined as MS-related hospitalization, or an outpatient visit and one claim within 7 days of the visit with steroids or total plasma exchange.

RESULTS

A total of 944 patients (mean [standard deviation] age, 32.4 [5.0] years) were eligible; 688 (73%) were commercially insured and 256 (27%) received Medicaid. Compared with commercially-insured patients, use of DMTs was lower among Medicaid patients at 6 months preconception (25.4% vs 40.4%; p < 0.001), with similar patterns observed both during pregnancy and postpartum. Overall, prevalence of DMT use declined sharply during pregnancy, from 36.3% of patients in the 6 months preconception to 17.9%, 5.3%, and 5.8% in trimesters 1, 2 and 3, respectively. Postpartum DMT utilization increased to 20.9% at 0-3 months and 24.4% at 4-6 months. Of all patients in the preconception period, the most frequently used DMTs were glatiramer acetate (14.3%), dimethyl fumarate (6.0%), interferon (5.2%), and natalizumab (4.9%). Due to small sample size, information was limited for anti-CD20s and alemtuzumab. The proportion of patients with any moderate/severe relapse declined over pregnancy (preconception, n = 82 [8.7%]; pregnancy, n = 25 [2.6%]), but increased postpartum (n = 94 [10.0%]). Of the 889 patients who stopped DMT during pregnancy, the risk of postpartum relapses was lower in the patients who resumed DMT postpartum (10/192) than in patients who did not (76/697) (5.2% vs 10.9%; odds ratio, 0.455 [95% confidence interval 0.216-0.860], p = 0.018). Cases of postpartum depression and anxiety were significantly lower in commercially-insured patients vs Medicaid patients (postpartum depression, 13.7% vs 27.0%, p < 0.01; postpartum anxiety, 16.3% vs 30.5%, p < 0.01).

CONCLUSION

DMT utilization declined sharply during pregnancy; it gradually increased postpartum but remained below pre-pregnancy use. The proportion of pwMS experiencing a moderate/severe relapse and number of relapses declined over pregnancy but increased postpartum. Reinitiation of DMT during the postpartum period was associated with lower risk of relapses, supporting a role for early reinitiation of DMT postpartum.

STUDY SUPPORTED BY

Biogen.

Antihypertensive utilization patterns among pregnant persons with pre-existing hypertension in the US: A population-based study

BACKGROUND

Hypertension among persons with childbearing potential is on the rise. Maintaining proper blood pressure during pregnancy is vital to prevent maternal and neonatal complications. Yet, limited evidence on the risk-benefit of various antihypertensives presents challenges for informed decision-making during this critical period. This study aimed to examine the utilization patterns of different classes of antihypertensives among persons with pre-existing hypertension before, during, and after pregnancy.

METHODS

We used MarketScan® Commercial Database 2011-2020 to analyze antihypertensive utilization among pregnant persons aged 12 to 55 identified via a validated algorithm. Pre-existing hypertension was defined as ≥1 inpatient or ≥2 outpatient encounters for hypertension within the 180 days preceding the LMP. Antihypertensive utilization was described during target periods: 0-3 months (0-3M) before pregnancy, 1st/2nd/3rd trimester (T1/2/3), 0-3M, and 4-6M after pregnancy.

RESULTS

We identified 1,950,292 pregnancies, of which 20,576 (12,978 live and 7,598 non-live) had pre-existing hypertension. Both groups had similar antihypertensive use (80.1% and 81.0%, respectively) during the 6 months before pregnancy (baseline). For live-birth pregnancies, 13.9% of baseline users discontinued treatment during pregnancy, while 28.9% of non-users initiated antihypertensives during pregnancy, and 17.2% started postpartum. Before pregnancy, the predominant antihypertensives included thiazide diuretics (21.9%), combined α- and β-blockers (18.4%), and dihydropyridines (16.2%). During pregnancy, thiazide diuretics, cardioselective β-blockers, and ACE inhibitors declined (T3: 3.0%, 4.2%, and 0.8%). Dihydropyridine use was steady during pregnancy, but preference shifted from amlodipine to nifedipine in T3 (2.2.% vs.10.8%). Central α2-agonists increased during pregnancy (up to 15.2% in T3) compared to both pre- (9.8%) and post-pregnancy (5.7%). ARBs mirrored ACE inhibitors, with less than 1% utilization in later trimesters. Combination agents dropped from 10.8% pre-pregnancy to 0.8% in T3, then rebounded to 7.3% post-pregnancy.

CONCLUSION

Research is warranted to evaluate the choice of antihypertensives and optimal timing to switch to safer alternatives, considering maternal and fetal outcomes.

Telehealth Utilization for Opioid Use Disorder: A Nationwide Analysis Before and After the COVID-19 Public Health Emergency Declaration

Introduction: The COVID-19 pandemic has led to the rapid and widespread adoption of telehealth services. Telehealth may aid in bridging gaps in access to care. The specific impact of telehealth on opioid use disorder (OUD) and its treatment remains uncertain. Methods: A retrospective review of commercial insurance claim records within the United States was conducted to investigate the association between the COVID-19 pandemic and changes in the rates of(a) OUD treatments with and without telehealth support and (b) prescriptions for medications for opioid use disorder (MOUD) with and without telehealth support among individuals diagnosed with OUD. Results: In a study population of 1,340,506 individuals, OUD diagnosis rates were 5 per 1,000 in-person and 1 per 1,000 via telehealth. COVID-19 decreased in-person OUD diagnoses by 0.89 per 1,000, while telehealth diagnoses increased by 0.83 per 1,000. In-person MOUD treatment rates increased by 0.07 per 1,000 during COVID-19, while telehealth rates remained low. The onset of COVID-19 saw a 1.13 per 1,000 higher increase in telehealth-supported MOUD treatment compared to solely in-person treatment. Conclusions: A retrospective review of commercial insurance claim records within the United States was conducted to investigate the association between the COVID-19 pandemic and changes in the rates of (a) OUD treatments with and without telehealth support and (b) prescriptions for MOUD with and without telehealth support among individuals diagnosed with OUD.

Signs or symptoms of suspected preeclampsia - A retrospective national database study of prevalence, costs, and outcomes

BACKGROUND

Most patients with signs or symptoms (s/s) of suspected preeclampsia are not diagnosed with preeclampsia. We sought to determine and compare the prevalence of s/s, pregnancy outcomes, and costs between patients with and without diagnosed preeclampsia.

METHODS

This retrospective cohort study analyzed a large insurance research database. Pregnancies with s/s of preeclampsia versus a confirmed preeclampsia diagnosis were identified using International Classification of Diseases codes. S/s include hypertension, proteinuria, headache, visual symptoms, edema, abdominal pain, and nausea/vomiting. Pregnancies were classed as 1) s/s of preeclampsia without a confirmed preeclampsia diagnosis (suspicion only), 2) s/s with a confirmed diagnosis (preeclampsia with suspicion), 3) diagnosed preeclampsia without s/s recorded (preeclampsia only), and 4) no s/s, nor preeclampsia diagnosis (control).

RESULTS

Of 1,324,424 pregnancies, 29.2 % had ≥1 documented s/s of suspected preeclampsia, and 14.2 % received a preeclampsia diagnosis. Hypertension and headache were the most common s/s, leading 20.2 % and 9.2 % pregnancies developed to preeclampsia diagnosis, respectively. Preeclampsia, with or without suspicion, had the highest rates of hypertension-related severe maternal morbidity (HR [95 % CI]: 3.0 [2.7, 3.2] and 3.6 [3.3, 4.0], respectively) versus controls. A similar trend was seen in neonatal outcomes such as preterm delivery and low birth weight. Cases in which preeclampsia was suspected but not confirmed had the highest average total maternal care costs ($6096 [95 % CI: 602, 6170] over control).

CONCLUSION

There is a high prevalence but poor selectivity of traditional s/s of preeclampsia, highlighting a clinical need for improved screening method and cost-effectiveness disease management.

Prenatal Exposure to Valproic Acid Across Various Indications for Use

Importance

Teratogenic outcomes associated with valproic acid use represent a substantial concern for persons of childbearing age. Regulatory agencies worldwide have enhanced warnings or implemented risk minimization programs to reduce exposure during pregnancy.

Objectives

To determine pregnancy rates during valproic acid use and concomitant contraception use across indications.

Design, Setting, and Participants

This retrospective cohort study used data from the Merative MarketScan commercial claims databases from January 1, 2005, to December 31, 2020, to identify female patients aged 12 to 44 years who initiated valproic acid treatment and had continuous insurance enrollment 6 months before initiation and 9 months after treatment end. A treatment episode included consecutive prescription fills that occurred within 7 days from the end of the days' supply of the previous dispensing. Data were analyzed from March 1 to September 10, 2023.

Main Outcomes and Measures

Treatment episodes were categorized by inferred indication using diagnoses preceding treatment initiation, including epilepsy, migraine or headache, mood disorders, and unknown or off-label uses. Pregnancy incidence rate ratios (IRRs) were calculated and were adjusted for age and calendar year. Contraceptive use (prescription contraceptives, intrauterine devices, and implants) during treatment was examined.

Results

The cohort included 165 772 valproic acid treatment episodes among 69 390 women (mean [SD] age, 29.8 [10.0] years). Mood disorders (42.5%) were the most common indication, followed by migraine or headache (20.1%), with epilepsy playing a minor role (14.9%). Pregnancy incidence rates during valproic acid use remained unchanged, with a rate of 1.74 (95% CI, 1.14-2.53) per 100 person-years in 2005 and a rate of 1.90 (95% CI, 1.16-3.12) per 100 person-years in 2019. Compared with epilepsy, pregnancy rates were more than double for mood disorder (IRR, 2.16 [95% CI, 1.93-2.42]) and migraine or headache (IRR, 2.01 [95% CI, 1.92-2.09]). Few treatment episodes coincided with contraceptive use (37 012 [22.3%]), and oral dosage forms were the most common (27 069 [73.1%]).

Conclusions and Relevance

In this cohort study of patients of childbearing age who used valproic acid, pregnancy rates during valproic acid use did not decrease despite enhanced US Food and Drug Administration safety communications, and contraception use remained low. Patients with migraine and mood disorders accounted for the largest proportion of valproic acid use and had the highest pregnancy rates, while patients with epilepsy had the lowest. These findings suggest a need to enhance efforts to mitigate prenatal exposure to valproic acid, especially for indications where the risk of use during pregnancy outweighs the benefit.

Health Service Use and Costs During Pregnancy Among Privately Insured Individuals With Congenital Heart Disease

Importance

Individuals with congenital heart disease (CHD) are increasingly reaching childbearing age, are more prone to adverse pregnancy events, and uncommonly undergo recommended cardiac evaluations. Data to better understand resource allocation and financial planning are lacking.

Objective

To examine health care use and costs for patients with CHD during pregnancy.

Design, Setting, and Participants

This retrospective cohort study was performed from January 1, 2010, to December 31, 2016, using Merative MarketScan commercial insurance data. Participants included patients with CHD and those without CHD matched 1:1 by age, sex, and insurance enrollment year. Pregnancy claims were identified for all participants. Data were analyzed from September 2022 to March 2024.

Exposures

Baseline characteristics (age, US region, delivery year, insurance type) and pregnancy-related events (obstetric, cardiac, and noncardiac conditions; birth outcomes; and cesarean delivery).

Main Outcomes and Measures

Health service use (outpatient physician, nonphysician, emergency department, prescription drugs, and admissions) and costs (total and out-of-pocket costs adjusted for inflation to represent 2024 US dollars).

Results

A total of 11 703 pregnancies (mean [SD] maternal age, 31.5 [5.4] years) were studied, with 2267 pregnancies in 1785 patients with CHD (492 pregnancies in patients with severe CHD and 1775 in patients with nonsevere CHD) and 9436 pregnancies in 7720 patients without CHD. Compared with patients without CHD, pregnancies in patients with CHD were associated with significantly higher health care use (standardized mean difference [SMD] range, 0.16-1.46) and cost (SMD range, 0.14-0.55) except for out-of-pocket inpatient and ED costs. After adjustment for covariates, having CHD was independently associated with higher total (adjusted cost ratio, 1.70; 95% CI, 1.57-1.84) and out-of-pocket (adjusted cost ratio, 1.40; 95% CI, 1.22-1.58) costs. The adjusted mean total costs per pregnancy were $15 971 (95% CI, $15 480-$16 461) for patients without CHD, $24 290 (95% CI, $22 773-$25 806) for patients with any CHD, $26 308 (95% CI, $22 788-$29 828) for patients with severe CHD, and $23 750 (95% CI, $22 110-$25 390) for patients with nonsevere CHD. Patients with vs without CHD incurred $8319 and $700 higher total and out-of-pocket costs per pregnancy, respectively.

Conclusions and Relevance

This study provides novel, clinically relevant estimates for the cardio-obstetric team, patients with CHD, payers, and policymakers regarding health care and financial planning. These estimates can be used to carefully plan for and advocate for the comprehensive resources needed to care for patients with CHD.

Prenatal Care Initiation and Exposure to Teratogenic Medications

Importance

With new legal abortion restrictions, timing of prenatal care initiation is critical to allow for discussion of reproductive options among pregnancies exposed to teratogenic medications.

Objective

To investigate the prevalence of prenatal exposure to teratogenic medications and prenatal care initiation across gestational weeks.

Design, Setting, and Participants

This descriptive, population-based cross-sectional study used health encounter data from a national sample of individuals with employer-sponsored health insurance. A validated algorithm identified pregnancies among persons identifying as female that ended with a live or nonlive outcome between January 2017 and December 2019. Data were analyzed from December 2022 to December 2023.

Exposures

Prenatal exposure to any of 137 teratogenic medications, measured via pharmacy and medical claims. Measurement of prenatal care initiation was adapted from the Children's Health Care Quality Measures.

Main Outcomes and Measures

Prevalence of prenatal exposure to teratogens and prenatal care initiation by gestational week. Timing of prenatal teratogenic exposure was compared with timing of prenatal care initiation and legal abortion cutoffs.

Results

Among 639 994 pregnancies, 472 472 (73.8%; 95% CI, 73.7%-73.9%) had a live delivery (mean [SD] age, 30.9 [5.4] years) and 167 522 (26.2%; 95% CI, 26.1%-26.3%) had a nonlive outcome (mean [SD] age, 31.6 [6.4] years). Of pregnancies with live deliveries, 5.8% (95% CI, 5.7%-5.8%) were exposed to teratogenic medications compared with 3.1% (95% CI, 3.0%-3.2%) with nonlive outcomes. Median time to prenatal care was 56 days (IQR, 44-70 days). By 6 weeks' gestation, 8186 pregnancies had been exposed to teratogenic medications (25.2% [95% CI, 24.7%-25.7%] of pregnancies exposed at any time during gestation; 1.3% [95% CI, 1.3%-1.3%] of all pregnancies); in 6877 (84.0%; 95% CI, 83.2%-84.8%), prenatal care was initiated after 6 weeks or not at all. By 15 weeks, teratogenic exposures had occurred for 48.9% (95% CI, 48.4%-49.5%) of all teratogen-exposed pregnancies (2.5% [2.4-2.5] of all pregnancies); prenatal care initiation occurred after 15 weeks for 1810 (16.8%; 95% CI, 16.1%-17.5%) with live deliveries and 2975 (58.3%; 95% CI, 56.9%-59.6%) with nonlive outcomes. Teratogenic medications most used within the first 15 gestational weeks among live deliveries included antiinfectives (eg, fluconazole), anticonvulsants (eg, valproate), antihypertensives (eg, lisinopril), and immunomodulators (eg, mycophenolate). For nonlive deliveries, most antihypertensives were replaced by vitamin A derivatives.

Conclusions and Relevance

In this cross-sectional study, most exposures to teratogenic medications occurred in early pregnancy and before prenatal care initiation, precluding prenatal risk-benefit assessments. Prenatal care commonly occurred after strict legal abortion cutoffs, prohibiting consideration of pregnancy termination if concerns about teratogenic effects arose.

Measuring quality of dental care during pregnancy

BACKGROUND

The authors aimed to develop and validate 2 Dental Quality Alliance measures of dental care access during pregnancy (Utilization of Services During Pregnancy, Oral Evaluation During Pregnancy) using claims and enrollment data and to report performance on these measures for a sample of Medicaid and Children's Health Insurance Program beneficiaries.

METHODS

The authors used Transformed Medicaid Statistical Information System enrollment and claims data for 7,767,806 people enrolled in 5 state Medicaid programs and Children's Health Insurance Programs during 2018. The authors used split-half reliability testing to assess measure reliability. The authors calculated 95% CIs to assess statistically significant variation in performance between programs.

RESULTS

The intraclass correlation coefficient used to assess agreement between the split samples was 0.992 (95% CI, 0.941 to 0.999; P < .0001) for Utilization of Services During Pregnancy and 0.983 (95% CI, 0.879 to 0.998; P < .0001) for Oral Evaluation During Pregnancy. Performance scores ranged from 20% through 34% of beneficiaries receiving any dental service during pregnancy (Utilization of Services During Pregnancy) and from 14% through 23% of beneficiaries receiving a periodic or comprehensive oral evaluation during pregnancy (Oral Evaluation During Pregnancy), with statistically significant differences between programs.

CONCLUSIONS

The measures reliably assessed access to dental services and can distinguish performance between programs.

PRACTICAL IMPLICATIONS

These measures can be used to advance population health by means of supporting national efforts to improve access to dental care during pregnancy.

Risk Factors for Severe Maternal Morbidity Among Women Enrolled in Mississippi Medicaid

Importance

Mississippi has one of the highest rates of severe maternal morbidity (SMM) in the US, and SMMs have been reported to be more frequent among Medicaid-insured women. A substantial proportion of pregnant women in Mississippi are covered by Medicaid; hence, there is a need to identify potential risk factors for SMM in this population.

Objective

To examine the associations of health care access and clinical and sociodemographic characteristics with SMM events among Mississippi Medicaid-enrolled women who had a live birth.

Design, Setting, and Participants

A nested case-control study was conducted using 2018 to 2021 Mississippi Medicaid administrative claims database. The study included Medicaid beneficiaries aged 12 to 55 years who had a live birth and were continuously enrolled throughout their pregnancy period and 12 months after delivery. Individuals in the case group had SMM events and were matched to controls on their delivery date using incidence density sampling. Data analysis was performed from June to September 2022.

Exposure

Risk factors examined in the study included sociodemographic factors (age and race), health care access (distance from delivery center, social vulnerability index, and level of maternity care), and clinical factors (maternal comorbidity index, first-trimester pregnancy-related visits, and postpartum care).

Main Outcomes and Measures

The main outcome of the study was an SMM event. Adjusted odds ratio (aORs) and 95% CIs were calculated using conditional logistic regression.

Results

Among 13 485 Mississippi Medicaid-enrolled women (mean [SD] age, 25.0 [5.6] years; 8601 [63.8%] Black; 4419 [32.8%] White; 465 [3.4%] other race [American Indian, Asian, Hispanic, multiracial, and unknown]) who had a live birth, 410 (3.0%) were in the case group (mean [SD] age, 26.8 [6.4] years; 289 [70.5%] Black; 112 [27.3%] White; 9 [2.2%] other race) and 820 were in the matched control group (mean [SD] age, 24.9 [5.7] years; 518 [63.2%] Black; 282 [34.4%] White; 20 [2.4%] other race). Black individuals (aOR, 1.44; 95% CI, 1.08-1.93) and those with higher maternal comorbidity index (aOR, 1.27; 95% CI, 1.16-1.40) had higher odds of experiencing SMM compared with White individuals and those with lower maternal comorbidity index, respectively. Likewise, an increase of 100 miles (160 km) in distance between beneficiaries' residence to the delivery center was associated with higher odds of experiencing SMM (aOR, 1.14; 95% CI, 1.07-1.20).

Conclusions and Relevance

The study findings hold substantial implications for identifying high-risk individuals within Medicaid programs and call for the development of targeted multicomponent, multilevel interventions for improving maternal health outcomes in this highly vulnerable population.

Common teratogenic medication exposures-a population-based study of pregnancies in the United States

BACKGROUND

Risk mitigation for most teratogenic medications relies on risk communication via drug label, and prenatal exposures remain common. Information on the types of and risk factors for prenatal exposures to medications with teratogenic risk can guide strategies to reduce exposure.

OBJECTIVE

This study aimed to identify medications with known or potential teratogenic risk commonly used during pregnancy among privately insured persons.

STUDY DESIGN

We used the Merative™ MarketScan® Commercial Database to identify pregnancies with live or nonlive (ectopic pregnancies, spontaneous and elective abortions, stillbirths) outcomes among persons aged 12 to 55 years from 2011 to 2018. Start/end dates of medication exposure and pregnancy outcomes were identified via an adapted algorithm based on validation studies. We required continuous health plan enrollment from 90 days before conception until 30 days after the pregnancy end date. Medications with known or potential teratogenic risk were selected from TERIS (Teratogen Information System) and drug monographs based on the level of risk and quality of evidence (138 with known and 60 with potential risk). We defined prenatal exposure on the basis of ≥1 outpatient pharmacy claim or medical encounter for medication administration during target pregnancy periods considering medication risk profiles (eg, risk only in the first trimester or at a certain dose threshold). Sex hormones and hormone analogs, and abortion and postpartum/abortion hemorrhage treatments were not considered as teratogenic medications because of challenges in separating pregnancy-related indications, nor were opioids (because of complex risk-benefit considerations) or antiobesity medications if their only teratogenic mechanism was weight loss.

RESULTS

Among all pregnancies, the 10 medications with known teratogenic risk and the highest prenatal exposures were sulfamethoxazole/trimethoprim (1988 per 100,000 pregnancy-years), high-dose fluconazole (1248), topiramate (351), lisinopril (144), warfarin (57), losartan (56), carbamazepine (50), valproate (49), vedolizumab (28 since 2015), and valsartan (25). Prevalence of exposure to sulfamethoxazole/trimethoprim decreased from 2346 to 1453 per 100,000 pregnancy-years from 2011 to 2018, but prevalence of exposure to vedolizumab increased 6-fold since its approval in 2015. Prenatal exposures in the first trimester were higher among nonlive pregnancies than among live-birth pregnancies, with the largest difference observed for warfarin (nonlive 370 vs live birth 78), followed by valproate (258 vs 86) and topiramate (1728 vs 674). Prenatal exposures to medications with potential teratogenic risk were most prevalent for low-dose fluconazole (6495), metoprolol (1325), and atenolol (448). The largest first-trimester exposure differences between nonlive and live-birth pregnancies were observed for lithium (242 vs 89), gabapentin (1639 vs 653), and duloxetine (1914 vs 860). Steady increases in hydralazine and gabapentin exposures were observed during the study years, whereas atenolol exposure decreased (561 to 280).

CONCLUSION

Several medications with teratogenic risk for which there are potentially safer alternatives continue to be used during pregnancy. The fluctuating rates of prenatal exposure observed for select teratogenic medications suggest that regular reevaluation of risk mitigation strategies is needed. Future research focusing on understanding the clinical context of medication use is necessary to develop effective strategies for reducing exposures to medications with teratogenic risk during pregnancy.

Identifying pregnancy episodes and estimating the last menstrual period using an administrative database in Korea: an application to patients with systemic lupus erythematosus

OBJECTIVES

This study developed an algorithm for identifying pregnancy episodes and estimating the last menstrual period (LMP) in an administrative claims database and applied it to investigate the use of pregnancy-incompatible immunosuppressants among pregnant women with systemic lupus erythematosus (SLE).

METHODS

An algorithm was developed and applied to a nationwide claims database in Korea. Pregnancy episodes were identified using a hierarchy of pregnancy outcomes and clinically plausible periods for subsequent episodes. The LMP was estimated using preterm delivery, sonography, and abortion procedure codes. Otherwise, outcome-specific estimates were applied, assigning a fixed gestational age to the corresponding pregnancy outcome. The algorithm was used to examine the prevalence of pregnancies and utilization of pregnancy-incompatible immunosuppressants (cyclophosphamide [CYC]/mycophenolate mofetil [MMF]/methotrexate [MTX]) and non-steroidal anti-inflammatory drugs (NSAIDs) during pregnancy in SLE patients.

RESULTS

The pregnancy outcomes identified in SLE patients included live births (67%), stillbirths (2%), and abortions (31%). The LMP was mostly estimated with outcome-specific estimates for full-term births (92.3%) and using sonography procedure codes (54.7%) and preterm delivery diagnosis codes (37.9%) for preterm births. The use of CYC/MMF/MTX decreased from 7.6% during preconception to 0.2% at the end of pregnancy. CYC/MMF/MTX use was observed in 3.6% of women within 3 months preconception and 2.5% during 0-7 weeks of pregnancy.

CONCLUSIONS

This study presents the first pregnancy algorithm using a Korean administrative claims database. Although further validation is necessary, this study provides a foundation for evaluating the safety of medications during pregnancy using secondary databases in Korea, especially for rare diseases.

Maternal Tdap and influenza vaccination uptake 2017-2021 in the United States: Implications for maternal RSV vaccine uptake in the future

BACKGROUND

Assessment of maternal vaccine coverage is important for understanding and quantifying the impact of currently recommended vaccines as well as modeling the potential impact of future vaccines. However, existing data lack detail regarding uptake according to week of gestational age (wGA). Such granularity is valuable for more accurate estimation of vaccine impact.

OBJECTIVE

To summarize contemporary maternal Tdap vaccination uptake, overall, yearly, and by wGA, and maternal influenza vaccination uptake, overall, by influenza observation year, immunization month, and delivery month, in the US.

METHODS

Female patients 18-49 years of age with a pregnancy resulting in a live born infant (i.e., delivery) between 2017 and 2021 were selected from the Optum electronic health records (EHRs) database. Recently published gestational age algorithms were utilized to estimate wGA.

RESULTS

Of 1,021,260 deliveries among 886,660 women between 2017-2021, 55.1% had Tdap vaccination during pregnancy; vaccine coverage varied slightly by year (2017: 56.6%; 2018: 55.2%; 2019: 55.2%; 2020: 54.7%; 2021: 52.1%). Most (64.4%) maternal Tdap vaccinations occurred 27-32 wGA; 79.5% occurred during the entire 10-week recommended vaccination window (27-36 wGA). In the evaluation of influenza vaccination uptake (n=798,113 deliveries; 714,841 women), 33.5% of deliveries had influenza vaccination during influenza observation years 2017-2021, most (73.0%) of which occurred during influenza peak activity months (October-January) with approximately one-quarter (27.0%) of vaccinations having occurred during the off-peak months, mostly in September.

CONCLUSIONS

In this large contemporary analysis of EHR data, uptake of Tdap vaccination during pregnancy was consistent with previously published estimates; notably, most vaccination occurred early in the recommended 27-36 wGA window. Maternal influenza vaccination uptake largely correlated with peak influenza activity months and not gestational age. These study findings may have important implications for estimating the potential uptake and impact of future maternal vaccines.

The validity of hospital diagnostic and procedure codes reflecting morbidity in preterm neonates born <32 weeks gestation

OBJECTIVE

To determine the validity of diagnostic hospital billing codes for complications of prematurity in neonates <32 weeks gestation.

STUDY DESIGN

Retrospective cohort data from discharge summaries and clinical notes (n = 160) were reviewed by trained, blinded abstractors for the presence of intraventricular hemorrhage (IVH) grades 3 or 4, periventricular leukomalacia (PVL), necrotizing enterocolitis (NEC), stage 3 or higher, retinopathy of prematurity (ROP), and surgery for NEC or ROP. Data were compared to diagnostic billing codes from the neonatal electronic health record.

RESULTS

IVH, PVL, ROP and ROP surgery had strong positive predictive values (PPV > 75%) and excellent negative predictive values (NPV > 95%). The PPVs for NEC (66.7%) and NEC surgery (37.1%) were low.

CONCLUSION

Diagnostic hospital billing codes were observed to be a valid metric to evaluate preterm neonatal morbidities and surgeries except in the instance of more ambiguous diagnoses such as NEC and NEC surgery.

Postpartum Depression in Reproductive-Age Women With and Without Rheumatic Disease: A Population-Based Matched Cohort Study

OBJECTIVE

To examine postpartum depression (PPD) among women with axial spondyloarthritis (axSpA), psoriatic arthritis (PsA), or rheumatoid arthritis (RA) in comparison with a matched population without rheumatic disease (RD).

METHODS

A retrospective analysis using the 2013-2018 IBM MarketScan Commercial Claims and Encounters Database was conducted. Pregnant women with axSpA, PsA, or RA were identified, and the delivery date was used as the index date. We restricted the sample to women ≤ 55 years with continuous enrollment ≥ 6 months before date of last menstrual period and throughout pregnancy. Each patient was matched with 4 individuals without RD on: (1) maternal age at delivery, (2) prior history of depression, and (3) duration of depression before delivery. Cox frailty proportional hazards models estimated the crude and adjusted hazard ratios (aHR) and 95% CI of incident postpartum depression within 1 year among women with axSpA, PsA, or RA (axSpA/PsA/RA cohort) compared to the matched non-RD comparison group.

RESULTS

Overall, 2667 women with axSpA, PsA, or RA and 10,668 patients without any RD were included. The median follow-up time in days was 256 (IQR 93-366) and 265 (IQR 99-366) for the axSpA/PsA/RA cohort and matched non-RD comparison group, respectively. Development of PPD was more common in the axSpA/PsA/RA cohort relative to the matched non-RD comparison group (axSpA/PsA/RA cohort: 17.2%; matched non-RD comparison group: 12.8%; aHR 1.22, 95% CI 1.09-1.36).

CONCLUSION

Postpartum depression is significantly higher in women of reproductive age with axSpA/PsA/RA when compared to those without RD.

Who is pregnant? Defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)

Objectives

To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C).

Materials and Methods

We developed a comprehensive approach, named Hierarchy and rule-based pregnancy episode Inference integrated with Pregnancy Progression Signatures (HIPPS), and applied it to EHR data in the N3C (January 1, 2018-April 7, 2022). HIPPS combines: (1) an extension of a previously published pregnancy episode algorithm, (2) a novel algorithm to detect gestational age-specific signatures of a progressing pregnancy for further episode support, and (3) pregnancy start date inference. Clinicians performed validation of HIPPS on a subset of episodes. We then generated pregnancy cohorts based on gestational age precision and pregnancy outcomes for assessment of accuracy and comparison of COVID-19 and other characteristics.

Results

We identified 628 165 pregnant persons with 816 471 pregnancy episodes, of which 52.3% were live births, 24.4% were other outcomes (stillbirth, ectopic pregnancy, abortions), and 23.3% had unknown outcomes. Clinician validation agreed 98.8% with HIPPS-identified episodes. We were able to estimate start dates within 1 week of precision for 475 433 (58.2%) episodes. 62 540 (7.7%) episodes had incident COVID-19 during pregnancy.

Discussion

HIPPS provides measures of support for pregnancy-related variables such as gestational age and pregnancy outcomes based on N3C data. Gestational age precision allows researchers to find time to events with reasonable confidence.

Conclusion

We have developed a novel and robust approach for inferring pregnancy episodes and gestational age that addresses data inconsistency and missingness in EHR data.

Standardizing case definitions for monitoring the safety of maternal vaccines globally: GAIA definitions, a review of progress to date

In 2014, the Global Alignment on Immunization safety Assessment in pregnancy consortium (GAIA) was formed, with the goal of developing a harmonized, globally-concerted approach to actively monitor the safety of vaccines in pregnancy. A total of 26 standardized definitions for the classification of adverse events have been developed. The aim of this review was to identify and describe studies undertaken to assess the performance of these definitions. A literature search was undertaken to identify published studies assessing the performance of the definitions, and reference lists were snowballed. Data were abstracted by two investigators and a narrative review of the results is presented. Four studies that have evaluated 13 GAIA case definitions (50%) were identified. Five case definitions have been assessed in high-income settings only. Recommendations have been made by the investigators to improve the performance of the definitions. These include ensuring consistency across definitions, removal of the potential for ambiguity or variations in interpretation and ensuring that higher-level criteria are acceptable at lower levels of confidence. Future research should prioritize the key case definitions that have not been assessed in low- and middle-income settings, as well as the 13 that have not undergone any validation.

Validation of an ICD-9-Based Algorithm to Identify Stillbirth Episodes from Medicaid Claims Data

INTRODUCTION

In administrative data, accurate timing of exposure relative to gestation is critical for determining the effect of potential teratogen exposure on pregnancy outcomes.

OBJECTIVE

To develop an algorithm for identifying stillbirth episodes in the ICD-9-CM era using national Medicaid claims data (1999-2014).

METHODS

Unique stillbirth episodes were identified from clusters of medical claims using a hierarchy that identified the encounter with the highest potential of including the actual stillbirth delivery and that delineated subsequent pregnancy episodes. Each episode was validated using clinical detail on retrieved medical records as the gold standard.

RESULTS

Among 220 retrieved records, 197 were usable for validation of 1417 stillbirth episodes identified by the algorithm. The positive predictive value (PPV) was 64.0% (57.3-70.7%) overall, 80.4% (73.8-87.1%) for inpatient episodes, 28.2% (14.1-42.3%) for outpatient-only episodes, and 20.0% (2.5-37.5%) for outpatient episodes with overlapping hospitalizations. The absolute difference between the dates of the algorithm-specified stillbirth delivery and the medical record-based event was 4.2 ± 24.3 days overall, 1.7 ± 7.7 days for inpatient episodes, 14.3 ± 51.4 days for outpatient-only episodes, and 1.0 ± 2.0 days for outpatient episodes that overlapped with a hospitalization. Excluding all outpatient episodes, as well as pregnancies involving multiple births, the PPV increased to 82.7% (76.8-89.8%).

CONCLUSIONS

Our algorithm to identify stillbirths from administrative claims data had a moderately high PPV. Positive predictive value was substantially increased by restricting the setting to inpatient episodes and using only input diagnostic codes for singleton stillbirths.

Validation of claims-based algorithms to identify non-live birth outcomes

PURPOSE

Perinatal epidemiology studies using healthcare utilization databases are often restricted to live births, largely due to the lack of established algorithms to identify non-live births. The study objective was to develop and validate claims-based algorithms for the ascertainment of non-live births.

METHODS

Using the Mass General Brigham Research Patient Data Registry 2000-2014, we assembled a cohort of women enrolled in Medicaid with a non-live birth. Based on ≥1 inpatient or ≥2 outpatient diagnosis/procedure codes, we identified and randomly sampled 100 potential stillbirth, spontaneous abortion, and termination cases each. For the secondary definitions, we excluded cases with codes for other pregnancy outcomes within ±5 days of the outcome of interest and relaxed the definitions for spontaneous abortion and termination by allowing cases with one outpatient diagnosis only. Cases were adjudicated based on medical chart review. We estimated the positive predictive value (PPV) for each outcome.

RESULTS

The PPV was 71.0% (95% CI, 61.1-79.6) for stillbirth; 79.0% (69.7-86.5) for spontaneous abortion, and 93.0% (86.1-97.1) for termination. When excluding cases with adjacent codes for other pregnancy outcomes and further relaxing the definition, the PPV increased to 80.6% (69.5-88.9) for stillbirth, 86.6% (80.5-91.3) for spontaneous abortion and 94.9% (91.1-97.4) for termination. The PPV for the composite outcome using the relaxed definition was 94.4% (92.3-96.1).

CONCLUSIONS

Our findings suggest non-live birth outcomes can be identified in a valid manner in epidemiological studies based on healthcare utilization databases.

Development and Validation of ICD-10-CM-based Algorithms for Date of Last Menstrual Period, Pregnancy Outcomes, and Infant Outcomes

INTRODUCTION AND OBJECTIVE

Validation studies of algorithms for pregnancy outcomes based on International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes are important for conducting drug safety research using administrative claims databases. To facilitate the conduct of pregnancy safety studies, this exploratory study aimed to develop and validate ICD-10-CM-based claims algorithms for date of last menstrual period (LMP) and pregnancy outcomes using medical records.

METHODS

Using a mother-infant-linked claims database, the study included women with a pregnancy between 2016-2017 and their infants. Claims-based algorithms for LMP date utilized codes for gestational age (Z3A codes). The primary outcomes were major congenital malformations (MCMs) and spontaneous abortion; additional secondary outcomes were also evaluated. Each pregnancy outcome was identified using a claims-based simple algorithm, defined as presence of ≥ 1 claim for the outcome. Positive predictive values (PPV) and 95% confidence intervals (CI) were calculated.

RESULTS

Overall, 586 medical records were sought and 365 (62.3%) were adjudicated, including 125 records each for MCMs and spontaneous abortion. Last menstrual period date was validated among maternal charts procured for pregnancy outcomes and fewer charts were adjudicated for the secondary outcomes. The median difference in days between LMP date based on Z3A codes and adjudicated LMP date was 4.0 (interquartile range: 2.0-10.0). The PPV of the simple algorithm for spontaneous abortion was 84.7% (95% CI 78.3, 91.2). The PPV for the MCM algorithm was < 70%. The algorithms for the secondary outcomes pre-eclampsia, premature delivery, and low birthweight performed well, with PPVs > 70%.

CONCLUSIONS

The ICD-10-CM claims-based algorithm for spontaneous abortion performed well and may be used in pregnancy studies. Further algorithm refinement for MCMs is needed. The algorithms for LMP date and the secondary outcomes would benefit from additional validation in a larger sample.

Short-Term Adverse Outcomes After Mifepristone-Misoprostol Versus Procedural Induced Abortion : A Population-Based Propensity-Weighted Study

BACKGROUND

Prior studies comparing first-trimester pharmaceutical induced abortion (IA) with procedural IA were prone to selection bias, were underpowered to assess serious adverse events (SAEs), and did not account for confounding by indication. Starting in 2017, mifepristone-misoprostol was dispensed at no cost in outpatient pharmacies across Ontario, Canada.

OBJECTIVE

To compare short-term risk for adverse outcomes after early IA by mifepristone-misoprostol versus by procedural IA.

DESIGN

Population-based cohort study.

SETTING

Ontario, Canada.

PATIENTS

All women who had first-trimester IA.

MEASUREMENTS

A total of 39 856 women dispensed mifepristone-misoprostol as outpatients were compared with 65 176 women undergoing procedural IA at 14 weeks' gestation or earlier within nonhospital outpatient clinics (comparison 1). A total of 39 856 women prescribed mifepristone-misoprostol were compared with 8861 women undergoing ambulatory hospital-based procedural IA at an estimated 9 weeks' gestation or less (comparison 2). The primary composite outcome was any SAE within 42 days after IA, including severe maternal morbidity, end-organ damage, intensive care unit admission, or death. A coprimary broader outcome comprised any SAE, hemorrhage, retained products of conception, infection, or transfusion. Stabilized inverse probability of treatment weighting accounted for confounding between exposure groups.

RESULTS

Mean age at IA was about 29 years (SD, 7); 33% were primigravidae. Six percent resided in rural areas, and 25% resided in low-income neighborhoods. In comparison 1, SAEs occurred among 133 women after mifepristone-misoprostol IA (3.3 per 1000) versus 114 after procedural IA (1.8 per 1000) (relative risk [RR], 1.87 [95% CI, 1.44 to 2.43]; absolute risk difference [ARD], 1.5 per 1000 [CI, 0.9 to 2.2]). The respective rates of any adverse event were 28.9 versus 12.4 per 1000 (RR, 2.33 [CI, 2.11 to 2.57]; ARD, 16.5 per 1000 [CI, 14.5 to 18.4]). In comparison 2, SAEs occurred among 133 (3.4 per 1000) and 27 (3.3 per 1000) women, respectively (RR, 1.04 [CI, 0.61 to 1.78]). The respective rates of any adverse event were 31.2 versus 24.9 per 1000 (RR, 1.25 [CI, 1.04 to 1.51]).

LIMITATION

A woman prescribed mifepristone-misoprostol may not have taken the medication, and the exact gestational age at IA was not always known.

CONCLUSION

Although rare, short-term adverse events are more likely after mifepristone-misoprostol IA than procedural IA, especially for less serious adverse outcomes.

PRIMARY FUNDING SOURCE

Canadian Institutes of Health Research.

Patterns in Prescription Opioids, Benzodiazepines, and Stimulants Filled by Pregnant Medicaid Beneficiaries

This study analyzes patterns in prescriptions filled by pregnant Medicaid beneficiaries for opioids, benzodiazepines, and stimulants.

Identifying neonatal intensive care (NICU) admissions using administrative claims data

BACKGROUND

To define a method for identifying neonatal intensive care unit (NICU) admissions using administrative claims data.

METHODS

This was a retrospective cohort study using claims from Optum's de-identified Clinformatics® Data Mart Database (CDM) from 2016 -2020. We developed a definition to identify NICU admissions using a list of codes from the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), Current Procedural Terminology (CPT), and revenue codes frequently associated with NICU admissions. We compared agreement between codes using Kappa statistics and calculated positive predictive values (PPV) and 95% confidence intervals (CI).

RESULTS

On average, revenue codes (3.3%) alone identified more NICU hospitalizations compared to CPT codes alone (1.5%), whereas the use of CPT and revenue (8.9%) and CPT or revenue codes (13.7%) captured the most NICU hospitalizations, which aligns with rates of preterm birth. Gestational age alone (4.2%) and birthweight codes alone (2.0%) identified the least number of potential NICU hospitalizations. Setting CPT codes as the standard and revenue codes as the "test,", revenue codes resulted in identifying 86% of NICU admissions (sensitivity) and 97% of non-NICU admissions (specificity).

CONCLUSIONS

Using administrative data, we developed a robust definition for identifying neonatal admissions. The identified definition of NICU codes is easily adaptable, repeatable, and flexible for use in other datasets.

Comanagement with rheumatology and prescription biologics filled during pregnancy in women with rheumatic diseases: a retrospective analysis of US administrative claims data

OBJECTIVES

To evaluate comanagement with rheumatology and biological prescriptions filled during pregnancy among women with axial spondyloarthritis (axSpA), rheumatoid arthritis (RA) or psoriatic arthritis (PsA) and to examine factors associated with receiving comanagement with rheumatology during pregnancy.

DESIGN

A retrospective analysis of US claims data.

SETTING

Commercially insured enrollees using data from the 2013-2018 IBM MarketScan Commercial Claims and Encounters Database.

PARTICIPANTS

We identified 4131 pregnant women aged ≤55 years from the 2013-2018 IBM MarketScan Commercial Claims and Encounters Database with an International Classification of Disease, 9th Revision/10th Revision codes for RA, axSpA or PsA, with continuous enrolment at ≥3 months before the date of the last menstrual period (LMP) (index date) and throughout pregnancy.

PRIMARY OUTCOMES

Filled biologics (prescriptions and infusions) claims were categorised by 90 days before the LMP and trimester, as were primary care, obstetrician and rheumatological claims.

RESULTS

The prevalence of axSpA, RA and PsA was 0.7%, 0.2% and 0.04% among reproductive age women. The average maternal age was 32.7 years (SD 5.7). During pregnancy, 9.1% of those with axSpA (n=2,410) and 56.4% of those with RA/PsA (n=1,721) had a rheumatological claim. Biologics claims were less common among those with axSpA (90 days before LMP: 1.6%, during pregnancy: 1.1%) than those with RA/PsA (90 days before LMP: 11.9%, during pregnancy: 6.9%). Medications during pregnancy included corticosteroids (axSpA: 0.3%, RA/PsA: 2.2%), non-biological disease-modifying antirheumatic drugs (axSpA: 0.2%, RA/PsA: 1.7%), non-steroidal anti-inflammatory drugs (axSpA: 0.2%, RA/PsA: 1.3%) and opioids (axSpA: 0.2%, RA/PsA: 0.6%). Established rheumatological care and biologics claims during the 90 days before LMP showed good prediction accuracy for receiving comanagement with rheumatology during pregnancy (axSpA: area under the receiver operator curve (AUC) 0.73, RA/PsA: AUC 0.70).

CONCLUSION

Comanagement with rheumatology during pregnancy occurs infrequently, especially for women with axSpA. Biologics claims during pregnancy may not align with published guidelines. Future research is warranted to improve comanagement with rheumatology during pregnancy.

Development and validation of claims-based algorithms to identify pregnancy based on data from a university hospital in Japan

OBJECTIVE

When using administrative data, validation is essential since these data are not collected for research purposes and misclassification can occur. Thus, this study aimed to develop algorithms identifying pregnancy and to evaluate the validity of administrative claims data in Japan.

METHODS

All females who visited the Tohoku University Hospital Department of Obstetrics in 2018 were included. The diagnosis, medical procedure, medication, and medical service addition fee data were utilized to identify pregnancy, with the electronic medical records set as the gold standard. Combination algorithms were developed using predefined pregnancy-related claims data with a positive predictive value (PPV) ≥80%. Sensitivity (SE), specificity (SP), PPV, and negative predictive value (NPV) with their corresponding 95% confidence intervals (CIs) were calculated for these combination algorithms.

RESULTS

This study included 1757 females with a mean age of 32.8 (standard deviation: 5.9) years. In general, the individual claims data were able to identify pregnancy with a PPV ≥80%; however, the number of pregnancies identified using a single claims data was limited. Based on the combination algorithm with all of the categories, including diagnosis, medical procedure, medication, and medical service addition, the calculated SE, SP, PPV, and NPV were 73.4% (95% CI: 71.2%-75.4%), 96.9% (95% CI: 89.3%-99.6%), 99.8%,(95% CI: 99.4%-100.0%), and 12.3% (95% CI: 9.6%-15.4%), respectively.

CONCLUSIONS

The combination algorithm to identify pregnancy demonstrated a high PPV and moderate SE. The algorithm validated in this study is expected to accelerate future studies that aim to identify pregnancies and evaluate pregnancy outcome.

Who is pregnant? defining real-world data-based pregnancy episodes in the National COVID Cohort Collaborative (N3C)

Objective

To define pregnancy episodes and estimate gestational aging within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C).

Materials and Methods

We developed a comprehensive approach, named H ierarchy and rule-based pregnancy episode I nference integrated with P regnancy P rogression S ignatures (HIPPS) and applied it to EHR data in the N3C from 1 January 2018 to 7 April 2022. HIPPS combines: 1) an extension of a previously published pregnancy episode algorithm, 2) a novel algorithm to detect gestational aging-specific signatures of a progressing pregnancy for further episode support, and 3) pregnancy start date inference. Clinicians performed validation of HIPPS on a subset of episodes. We then generated three types of pregnancy cohorts based on the level of precision for gestational aging and pregnancy outcomes for comparison of COVID-19 and other characteristics.

Results

We identified 628,165 pregnant persons with 816,471 pregnancy episodes, of which 52.3% were live births, 24.4% were other outcomes (stillbirth, ectopic pregnancy, spontaneous abortions), and 23.3% had unknown outcomes. We were able to estimate start dates within one week of precision for 431,173 (52.8%) episodes. 66,019 (8.1%) episodes had incident COVID-19 during pregnancy. Across varying COVID-19 cohorts, patient characteristics were generally similar though pregnancy outcomes differed.

Discussion

HIPPS provides support for pregnancy-related variables based on EHR data for researchers to define pregnancy cohorts. Our approach performed well based on clinician validation.

Conclusion

We have developed a novel and robust approach for inferring pregnancy episodes and gestational aging that addresses data inconsistency and missingness in EHR data.

Validity of Administrative Data for Identifying Birth-Related Outcomes with the End Date of Pregnancy in a Japanese University Hospital

This study aimed to develop and validate claims-based algorithms for identifying live birth, fetal death, and cesarean section by utilizing administrative data from a university hospital in Japan. We included women who visited the Department of Obstetrics at a university hospital in 2018. The diagnosis, medical procedures, and medication data were used to identify potential cases of live birth, fetal death, and cesarean section. By reviewing electronic medical records, we evaluated the positive predictive values (PPVs) and the accuracy of the end date of pregnancy for each claims datum. “Selected algorithm 1” based on PPVs and “selected algorithm 2” based on both the PPVs and the accuracy of the end date of pregnancy were developed. A total of 1757 women were included, and the mean age was 32.8 years. The PPVs of “selected algorithm 1” and “selected algorithm 2” were both 98.1% for live birth, 99.0% and 98.9% for fetal death, and 99.7% and 100.0% for cesarean section, respectively. These findings suggest that the developed algorithms are useful for future studies for evaluating live birth, fetal death, and cesarean section with an accurate end date of pregnancy.

Implementation of a Maternal Child Knowledgebase

To advance the application of clinical data to address maternal health we developed and implemented a Maternal Child Knowledgebase (MCK). The MCK integrates data from every pregnancy that received care at the University of Iowa Hospitals & Clinics (UIHC) and links information from the pregnancy episode to the delivery episode and between the mother and child. This knowledgebase contains integrated information regarding diagnoses, medications, mother and child vitals, hospital admissions, depression screenings, laboratory value results, and procedure information. It also collates information from the electronic health record (EPIC), the Social Security Death Index, and the Medication Administration Record into one knowledgebase. To enhance usability, we designed a custom viewer with several pre-designed queries and reports that eliminates the need for users to be proficient in SQL coding. The recent implementation of the MCK has supported multiple projects and reduced the number of Obstetrics-related data queries to the Biomedical Informatics group.