Publications by authors named "D Lyell"

Persistent racial and ethnic disparities exist in severe maternal and neonatal morbidity, which may be due in part to differences in labor and delivery unit practices across hospitals. We used data collected from 184 hospitals in California (2015-2018) to assess whether nulliparous individuals with low-risk pregnancies differ by race and ethnicity in giving birth at hospitals that tend to use lower-interventional labor and delivery unit practices, and whether such differences contribute to disparities in severe maternal and neonatal morbidity. We classified labor and delivery units as higher- or lower-interventional based on a latent class analysis of survey responses about the frequency of using lower-interventional practices.

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Objectives: Describe the prevalence, health, and birth outcomes of incarcerated pregnant individuals in California between 2011 and 2015.

Study Design: A population-based cohort study was performed using linked birth certificate and hospital discharge data. Associations between incarceration and birth outcomes were examined, including multivariable logistic regression to estimate odds ratios and 95% confidence intervals.

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The frequency of cervical insufficiency differs among the major racial and ethnic groups, with limited data specific to Asian American and Native Hawaiian/Pacific Islander (AANHPI) subpopulations. We assessed cervical insufficiency diagnoses and related outcomes across 10 racial and ethnic groups, including disaggregated AANHPI subgroups, in a large population-based cohort. We performed a retrospective cohort study of all singleton births between 20-42 weeks' gestation in California from 2007 to 2018.

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Background: The 10th revision of the International Classification of Diseases, Clinical Modification (ICD-10) includes diagnosis codes for placenta accreta spectrum for the first time. These codes could enable valuable research and surveillance of placenta accreta spectrum, a life-threatening pregnancy complication that is increasing in incidence.

Objective: We sought to evaluate the validity of placenta accreta spectrum diagnosis codes that were introduced in ICD-10 and assess contributing factors to incorrect code assignments.

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With growing use of machine learning (ML)-enabled medical devices by clinicians and consumers safety events involving these systems are emerging. Current analysis of safety events heavily relies on retrospective review by experts, which is time consuming and cost ineffective. This study develops automated text classifiers and evaluates their potential to identify rare ML safety events from the US FDA's MAUDE.

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