Risk factors of overdose in maternal patients with opioid use disorder: a scoping review.

Background: Opioid-related overdoses significantly contribute to mortality in pregnancy and the postpartum period. Few studies report risk factors predisposing pregnant and postpartum patients with opioid use disorder (OUD) to overdose.Objective: This scoping review aims to describe the risk factors predisposing pregnant and postpartum patients with OUD to overdose.Method: Included studies identified pregnant and/or postpartum patients with OUD and differentiated between those who experienced overdose and those who did not. Of the 1060 articles, 8 met the criteria, examining 90,860 pregnant and postpartum patients with OUD.Results: Consistent use of medications for OUD (MOUD) during pregnancy and the postpartum period was the most frequently identified factor reducing overdose risk. Critical times of heightened overdose risk include the first trimester and the 7-12-month postpartum period. Pregnancy complications, such as stillbirth, severe maternal morbidity, preterm birth, and cesarean delivery, also increase risk. Opioid overdose is associated with being houseless, incarcerated, young, unmarried, publicly insured, not graduating high school, co-occurring substance use disorders, and inadequate prenatal care. Legislative changes, such as not classifying OUD in pregnancy as "child abuse" and increasing Medicaid reimbursement for Screening, Brief Intervention, and Referral to Treatment programs, are crucial to reducing risk. The impact of race and the influence of co-occurring psychiatric disorders was inconsistently reported.Conclusion: This scoping review identifies significant risk factors for opioid overdose in pregnant and postpartum patients. Improving access through enhanced Medicaid reimbursement, non-punitive reporting policies, and non-stigmatized care are keys to reducing overdose.

Associations of prenatal maternal depressive symptoms with cord blood glucocorticoids and child hair cortisol levels in the project viva and the generation R cohorts: a prospective cohort study.

BACKGROUND: Prior studies have reported conflicting results regarding the association of prenatal maternal depression with offspring cortisol levels. We examined associations of high levels of prenatal depressive symptoms with child cortisol biomarkers. METHODS: In Project Viva (n = 925, Massachusetts USA), mothers reported their depressive symptoms using the Edinburgh Postnatal Depression Scale (EPDS) during pregnancy, cord blood glucocorticoids were measured at delivery, and child hair cortisol levels were measured in mid-childhood (mean (SD) age: 7.8 (0.8) years) and early adolescence (mean (SD) age: 13.2 (0.9) years). In the Generation R Study (n = 1644, Rotterdam, The Netherlands), mothers reported depressive symptoms using the Brief Symptom Inventory (BSI) during pregnancy, and child hair cortisol was measured at a mean (SD) age of 6.0 (0.5) years. We used cutoffs of ≥ 13 for the EPDS and > 0.75 for the BSI to indicate high levels of prenatal depressive symptoms. We used multivariable linear regression models adjusted for child sex and age (at outcome), and maternal pre-pregnancy BMI, education, social support from friends/family, pregnancy smoking status, marital status, and household income to assess associations separately in each cohort. We also meta-analyzed childhood hair cortisol results from both cohorts. RESULTS: 8.0% and 5.1% of women respectively experienced high levels of prenatal depressive symptoms in Project Viva and the Generation R Study. We found no associations between high levels of maternal depressive symptoms during pregnancy and child cortisol biomarkers in either cohort. CONCLUSIONS: The present study does not find support for the direct link between high levels of maternal depressive symptoms and offspring cortisol levels.

Path analysis model of epidural/spinal anesthesia on breastfeeding among healthy nulliparous women: Secondary analysis of the United States Certificate of Live Births 2016.

BACKGROUND: The effect of epidural/spinal anesthesia during labor on breastfeeding is unclear. Few studies had assessed whether or how medically assisted delivery (operative vaginal delivery or unscheduled cesarean birth) plays a mediating role. We aimed to examine whether the relationship between using epidural/spinal anesthesia and breastfeeding is mediated by increased medically assisted delivery among healthy nulliparous women. METHODS: A secondary, cross-sectional analysis was conducted using US birth certificate data from 2016 (n = 381 199). Logistic regression was used to examine associations between factors. Structural equation modeling (SEM) was used to analyze the model fit of the path models and to quantify the direct, indirect, and total effect of anesthesia on breastfeeding at discharge, considering medically assisted delivery as a mediator. RESULTS: Women who were administered epidural/spinal anesthesia were more likely to experience medically assisted delivery (adjusted odds ratio [AOR]: 95% confidence interval [CI] 3.01 (2.91-3.12)) and less likely to be breastfeeding at discharge (0.95 [0.92-0.98]). Operative vaginal and unscheduled cesarean deliveries were significantly associated with nonbreastfeeding at discharge (0.81 [0.77-0.84] and 0.81 [0.79-0.84], respectively). SEM revealed excellent model fit for our model. The indirect effect was significant (ß = -0.038; 95% CI, -0.043 to -0.033), as was the total effect (ß = -0.038; 95% CI, -0.043 to -0.033). CONCLUSIONS: Epidural/spinal anesthesia is associated with nonbreastfeeding at discharge, mediated through medically assisted delivery. Health care providers should consider these risks and provide adequate support to help all parents attain their breastfeeding goals.

Evaluation of a Rapid Implementation of Telemedicine for Delivery of Obstetric Care During the COVID-19 Pandemic.

Introduction: The aim of this evaluation was to assess the rapid implementation of obstetric telemedicine during the COVID-19 pandemic using the Consolidated Framework in Implementation Research (CFIR) evaluation framework. Study Design: Following 1 month of telemedicine implementation, obstetric providers at the University of South Florida clinic completed qualitative surveys and in-depth interviews about the implementation of obstetric telemedicine in the clinic guided by the CFIR evaluation framework. Results: Overall, providers considered obstetric telemedicine comparable to traditional in-person clinic visits and acknowledged that they were adequately prepared for the telemedicine implementation. They perceived that obstetric telemedicine mostly met the needs of patients in terms of convenience and comfort of visits, decreased exposure to COVID-19 infection, and the ability of the patient to listen to fetal heart sounds if at-home doppler monitoring was available. Conclusions: The implementation of the obstetric telemedicine care model was deemed a favorable alternative option for patients during the COVID-19 pandemic.

Health care system barriers and facilitators to early prenatal care among diverse women in Florida.

BACKGROUND: Worldwide, women continue to experience barriers to accessing early prenatal care. Given the unique nature of the United States health care system, this study aimed to identify barriers and facilitators to early prenatal care reported by women in Florida. METHODS: A mixed-methods study of postpartum women with entry to care after 14 weeks' gestation was conducted at a tertiary care hospital in Florida. First, eligible women completed a survey including demographic characteristics and open-ended questions on prenatal care barriers. Second, a semi-structured interview was conducted to contextualize the conditions of access. The qualitative analysis was based on the combined theoretical frameworks of Phillippi and Khan. RESULTS: The majority of the 55 participants self-identified as Hispanic (n = 28, 51%), non-Hispanic White (n = 12, 22%), or non-Hispanic Black (n = 9, 16%). Quantitative analysis identified frequent barriers, including the following: "couldn't get an appointment when wanted one" (n = 24, 47%); "didn't have insurance" (n = 21, 41%); and "not aware of pregnancy" (n = 21, 41%). From the combined quantitative and qualitative analyses, three major themes emerged that help to explain barriers faced by birthing people in Florida: personal factors (mental health, awareness of pregnancy, considering abortion, tumultuous life), community conditions (transportation, stigma/fear, social support), and health care system (language barriers, delay at clinic level, cost of care). DISCUSSION: Barriers to early prenatal care are multifaceted and operate at personal, societal, and health care systems levels. Prenatal care practitioners have multiple potential targets for interventions at the clinic level to help mitigate barriers to early prenatal care. Strategies should include health care policy reforms to Medicaid access and interventions at the clinic level aimed at fast-tracking access to care.

Hepatitis C Virus in Pregnancy: A Systematic Review of the Literature.

OBJECTIVE: The aim of this study was to systematically review the literature to summarize recent demographic characteristics of hepatitis C virus (HCV) infection during pregnancy and the efficacy of risk-based versus universal screening. STUDY DESIGN: PubMed, EMBASE, and Cochrane Library were searched to identify relevant studies. Studies that recognized hepatitis C as a primary or secondary outcome, with pregnant women as the population and written in English, were included. Studies were excluded if they were abstracts only, written in foreign language, or published prior to 1992. Two researchers independently screened all the studies by titles, abstracts, and full text. Conflicts were settled by a third researcher. RESULTS: A total of 698 studies were identified with 78 fitting inclusion criteria. In total, 69 epidemiologic and 9 comparison studies were found. Identified risk factors for HCV infection include intravenous or illicit drug use, sexually transmitted coinfection, high-risk behaviors in the partners, high parity, and history of miscarriages or abortions. Demographic characteristics associated with HCV include non-Hispanic white race, American Indian or Alaskan Native ethnicity, and increasing age. Providers may fail to adequately screen for each risk factor, and up to two-thirds of women with a known risk factor are not screened under current guidelines. Finally, up to 27% of HCV+ women have no identifiable risk factors for infection. CONCLUSION: There is evidence that risk-based screening fails to identify a large proportion of HCV positive women in pregnancy and that pregnant women with HCV risk factors and consistent with current screening guidelines fail to be tested. We urge for the adoption of universal screening to identify these women and offer treatment.

Identifying Barriers and Facilitators to Prenatal Care for Spanish-Speaking Women.

BACKGROUND Early access to quality prenatal care is an essential component of improving maternal and neonatal outcomes as it allows for early intervention and risk stratification. Women who receive late or infrequent prenatal care are at high risk for complications including preterm birth, infant death, and stillbirth. We sought to better understand the barriers Spanish-speaking women face in accessing quality prenatal care and to identify facilitators in obtaining timely quality prenatal care.METHODS We recruited a homogeneous group of 11 women with Spanish as their primary language who were pregnant or had given birth within the last six months. We then conducted two focus groups in Spanish. The focus groups were recorded, translated, and transcribed, and then coded using grounded theory.RESULTS In our cohort of participants, the three major themes included desire for psychosocial support, health care system logistics, and barriers due to Latinx ethnicity.LIMITATIONS Our study has several limitations, including a small sample size and single site design.CONCLUSION Latinx women experience unique barriers to care including language barriers, a lack of cultural competency on the part of health care personnel, and ethnic discrimination. Additional research is needed to develop patient-centered interventions to address these barriers.

Implementation of Obstetric Telehealth During COVID-19 and Beyond.

PURPOSE: The purpose of this article is to illustrate and discuss the impact the 2019 novel Coronavirus (COVID-19) pandemic on the delivery of obstetric care, including a discussion on the preexisting barriers, prenatal framework and need for transition to telehealth. DESCRIPTION: The COVID-19 was first detected in China in December of 2019 and by March 2020 spread to the United States. As this virus has been associated with severe illness, it poses a threat to vulnerable populations-including pregnant women. The obstetric population already faces multiple barriers to receiving quality healthcare due to personal, environmental and economic barriers, now challenged with the additional risks of COVID-19 exposure and limited care in times much defined by social distancing. ASSESSMENT: The current prenatal care framework requires patients to attend multiple in-office prenatal visits that can exponentially multiply depending on maternal and fetal comorbidities. To decrease the rate of transmission of the COVID-19 and limit exposure to patients, providers in Hillsborough County, Florida (and nationwide) are rapidly transitioning to telehealth. The use of a virtual care model allows providers to reduce in-person visits and incorporate virtual visits into the schedule of prenatal care. CONCLUSION: Due to the COVID-19 pandemic, implementation of telehealth and telehealth have become crucial to ensure the safe and effective delivery of obstetric care. This implementation is one that will continue to require attention to planning, procedures and processes, and thoughtful evaluation to ensure the sustainability of telehealth and telehealth post COVID-19 pandemic.

A Multisite Examination of Everyday Discrimination and the Prevalence of Spontaneous Preterm Birth in African American and Latina Women in the United States.

OBJECTIVE: African American women have a higher risk of spontaneous preterm birth than White and Latina women. Although Latina women are exposed to similar social determinants of health, they have lower rates of spontaneous preterm birth. One theory for this difference is the maternal stress biological pathway, whereby lifetime stressors, such as racial discrimination, lead to a premature activation of parturition. We investigated the prevalence of self-reported discrimination and its association with the prevalence of spontaneous preterm birth. STUDY DESIGN: Using data from the Community Child Health Research Network Study, a multisite cohort study from 2008 to 2012, we conducted a cross-sectional analysis of 1,154 African American women and 578 Latina women. RESULTS: Adjusting for multiple risk factors, African American and Latina women who experienced the highest tertile of discrimination had a higher prevalence of preterm birth compared with those who experienced discrimination less than once per year, adjusted hazard ratio (aHR) = 1.5 (0.7-3.1) and 3.6 (0.9-14.4), respectively. CONCLUSION: In our cohort, we found a statistically significant association only in the medium discrimination group in Latina women, but we did not find a statistically significant association in African American women. Reduction in experienced discrimination may be an important intervention for reducing adverse pregnancy outcomes.

The Association between Travel Time and Prenatal Care Attendance.

OBJECTIVE: This study aimed to evaluate the association between a patient's travel time to clinic and her prenatal care attendance. STUDY DESIGN: We conducted a retrospective cohort study of women (≥18 years) who received prenatal care and delivered at North Carolina Women's Hospital between July 1, 2014, and June 30, 2016 (n = 2,808 women, 24,021 appointments). We queried demographic data from the electronic medical record and calculated travel time with ArcGIS. Multinomial logistic regression models estimated the association between travel time and attendance, adjusted for sociodemographic covariates. RESULTS: For every 10 minutes of additional travel time, women were 1.05 (95% confidence interval [CI]: 1.02-1.08, p < 0.001) times as likely to arrive late and 1.03 (95% CI: 1.01-1.04, p < 0.001) times as likely to cancel appointments than arrive on time. Travel time did not significantly affect a patient's likelihood of not showing for appointments. Non-Hispanic black patients were 71% more likely to arrive late and 51% more likely to not show for appointments than non-Hispanic white patients (p < 0.05). Publicly insured women were 28% more likely to arrive late to appointments and 82% more likely to not show for appointments than privately insured women (p < 0.05). CONCLUSION: Changes to transportation availability alone may only modestly affect outcomes compared with strategically improving access for sociodemographically marginalized women.

Development of a 5-Step Electronic Medical Record-Based Algorithm to Identify Patients with Opioid Use Disorder in Pregnancy.

Objectives: This study aimed to develop and validate an algorithm for the identification of opioid use disorder (OUD) in pregnant patients using electronic medical record (EMR) data. Materials and Methods: A cohort of pregnant patients from a single institution was used to develop and validate the algorithm. Five algorithm components were used, and chart reviews were conducted to confirm OUD diagnoses based on established criteria. Positive predictive values (PPV) of each of the algorithm's components were assessed. Results: Of the 334 charts identified by the algorithm, 256 true cases were confirmed. The overall PPV of the algorithm was 76.6%, with 100% accuracy for outpatient medication lists, and high PPVs ranging from 81.3% to 93.4% across other algorithm components. Discussion and Conclusion: The study highlights the significance of a multifaceted approach in identifying OUD among pregnant patients, aiming to improve patient care and target interventions for patients at risk.

Exploring Patients' Needs and Desires for Quality Prenatal Care in Florida, United States.

Background and Objective: High-quality prenatal care promotes adequate care throughout pregnancy by increasing patients' desires to return for follow-up visits. Almost 15% of women in the United States receive inadequate prenatal care, with 6% receiving late or no prenatal care. Only 63% of pregnant women in Florida receive adequate prenatal care, and little is known about their perceptions of high-quality prenatal care. Therefore, the objective of this study was to assess women's perceptions of the quality of their prenatal care and to describe their preferences for seeking prenatal care that meets their needs. Methods: From April to December 2019, a qualitative study was conducted with postpartum women (n = 55) who received no or late prenatal care and delivered in Tampa, Florida, USA. Eligible women completed an open-ended qualitative survey and a semi-structured in-depth interview. The interview contextualized the factors influencing prenatal care quality perceptions. The qualitative data analysis was based on Donabedian's quality of care model. Results: The qualitative data analysis revealed three key themes about women's perceptions and preferences for prenatal care that meets their needs. First, clinical care processes included provision of health education and medical assessments. Second, structural conditions included language preferences, clinic availability, and the presence of ancillary staff. Finally, interpersonal communication encompassed interactions with providers and continuity of care. Overall, participants desired patient-centered care and care that was informative, tailored to their needs, and worked within the constraints of their daily lives. Conclusion and Global Health Implications: Women seeking and receiving prenatal care prefer a welcoming, patient-centered health care environment. These findings should prompt health care providers and organizations to improve existing prenatal care models and develop new prenatal care models that provide early, accessible, and high-quality prenatal care to a diverse population of maternity patients.

Evaluation of Virtual Prenatal Care for Obstetric Care Delivery During the COVID-19 Pandemic: A Mixed Method Research Study Using the Consolidated Framework in Implementation Research.

Background and Objective: Coronavirus 2 (SARS-CoV-2), a novel respiratory virus, rapidly spread, and placed patients at increased risk for short and potentially long-standing medical illnesses. The pandemic necessitated the rapid implementation of virtual prenatal care via telemedicine in obstetrics to maintain social distancing measures. The aim of this study was to assess and understand the patient perspectives of the rapidly implemented virtual prenatal care via a telemedicine model during the Coronavirus disease 2019 (COVID-19) pandemic utilizing the Consolidated Framework in Implementation Research (CFIR). Methods: Following the implementation of virtual prenatal care in March 2020, pregnant patients at a large urban clinic in the southeastern United States completed a 19-question anonymous survey that included open and closed-ended questions on their experience receiving virtual prenatal care via telemedicine or in-person prenatal care from May to December 2020. The survey and mixed-methods data analysis was guided by the CFIR framework. Results: A total of 59 patients completed the survey. One-third (31%, n=18) of the patients found virtual prenatal care to be an acceptable alternative model, and half (53%, n=31) found it acceptable only during a pandemic, preferring to return to in-person visits. Qualitative analysis found that some patients were deterred by limited in-person examinations and uncertainty with the virtual platform, while others appreciated the reduced need for transportation, childcare, and time spent. Conclusion and Global Health Implications: Most patients found virtual prenatal care to be easy to access and an acceptable alternative during the pandemic; however, most would prefer to return to in-person prenatal care visits. Future comparative research studies should examine how, among others, virtual prenatal care versus in-person prenatal care impacts specific maternal and fetal outcomes.

Treatment access for opioid use disorder among women with medicaid in Florida.

INTRODUCTION: Opioid use disorder (OUD) remains prevalent. Medications for OUD (MOUD) are standard care for pregnant and non-pregnant women. Previous research has identified barriers to MOUD for women with Medicaid but did not account for the type of MOUD (methadone vs. buprenorphine) or pregnancy status. We examined access to MOUD by treatment type for pregnant and non-pregnant women with Medicaid in Florida. METHODS: A secondary analysis of Florida "secret-shopper" data was conducted. Calls were made to clinicians from the 2018 Substance Abuse and Mental Health Services Administration provider list by women posing as either a pregnant or non-pregnant woman with OUD and Medicaid. We examined 546 calls to buprenorphine-waivered providers (BWP) and 139 to opioid treatment programs (OTP). Counts and percentages were used to describe caller success by type of treatment and pregnancy status. Chi-square tests were used to identify statistical differences. RESULTS: Only 42 % of calls reached a treatment provider in Florida. Pregnant and non-pregnant women were less likely to obtain an appointment with Medicaid coverage by a BWP than an OTP (p < 0.01). Nearly 40 % of OTPs offered appointments to callers with Medicaid compared to only 17 % of BWPs. Both types of providers denied appointments more often for pregnant women. Thirty-eight percent of BWP's and 12 % of OTP's denied appointments to pregnant women using cash or Medicaid payment. CONCLUSIONS: Our study demonstrates logistical and financial barriers to treatment for OUD among pregnant and non-pregnant women with Medicaid in Florida and highlights the need for improved systems of care.

Access to Prenatal Care Among Patients With Opioid Use Disorder in Florida: Findings From a Secret Shopper Study.

OBJECTIVE: To evaluate access to prenatal care for pregnant patients receiving medication for opioid use disorder (MOUD) under Medicaid coverage in Florida. METHODS: A cross-sectional, secret shopper study was conducted in which calls were made to randomly selected obstetric clinicians' offices in Florida. Callers posed as a 14-week-pregnant patient with Medicaid insurance who was receiving MOUD from another physician and requested to schedule a first-time prenatal care appointment. Descriptive statistics were used to report our primary outcome, the callers' success in obtaining appointments from Medicaid-enrolled physicians' offices. Wait time for appointments and reasons the physician offices refused appointments to callers were collected. RESULTS: Overall, 2,816 obstetric clinicians are enrolled in Florida Medicaid. Callers made 1,747 attempts to contact 1,023 randomly selected physicians' offices from June to September 2021. Only 48.9% of medical offices (n=500) were successfully reached by phone, of which 39.4% (n=197) offered a prenatal care appointment to the caller. The median wait time until the first appointment was 15 days (quartile 1: 7; quartile 3: 26), with a range of 0-55 days. However, despite offering an appointment, 8.6% of the medical offices stated that they do not accept Medicaid insurance payment or would accept only self-pay. Among the 60.6% of callers unable to secure an appointment, the most common reasons were that the clinician was not accepting patients taking methadone (34.7%) or was not accepting any new patients with Medicaid insurance (23.8%) and that the pregnancy would be too advanced by the time of the first available appointment (7.3%). CONCLUSION: This secret shopper study found that the majority of obstetric clinicians' offices enrolled in Florida Medicaid do not accept pregnant patients with Medicaid insurance who are taking MOUD. Policy changes are needed to ensure access to adequate prenatal care for patients with opioid use disorder.

Associations of maternal glucose markers in pregnancy with cord blood glucocorticoids and child hair cortisol levels.

Exposure to maternal hyperglycemia in utero has been associated with adverse metabolic outcomes in offspring. However, few studies have investigated the relationship between maternal hyperglycemia and offspring cortisol levels. We assessed associations of gestational diabetes mellitus (GDM) with cortisol biomarkers in two longitudinal prebirth cohorts: Project Viva included 928 mother-child pairs and Gen3G included 313 mother-child pairs. In Project Viva, GDM was diagnosed in N = 48 (5.2%) women using a two-step procedure (50 g glucose challenge test, if abnormal followed by 100 g oral glucose tolerance test [OGTT]), and in N = 29 (9.3%) women participating in Gen3G using one-step 75 g OGTT. In Project Viva, we measured cord blood glucocorticoids and child hair cortisol levels during mid-childhood (mean (SD) age: 7.8 (0.8) years) and early adolescence (mean (SD) age: 13.2 (0.9) years). In Gen3G, we measured hair cortisol at 5.4 (0.3) years. We used multivariable linear regression to examine associations of GDM with offspring cortisol, adjusting for child age and sex, maternal prepregnancy body mass index, education, and socioeconomic status. We additionally adjusted for child race/ethnicity in the cord blood analyses. In both Project Viva and Gen3G, we observed null associations of GDM and maternal glucose markers in pregnancy with cortisol biomarkers in cord blood at birth (ß = 16.6 nmol/L, 95% CI -60.7, 94.0 in Project Viva) and in hair samples during childhood (ß = -0.56 pg/mg, 95% CI -1.16, 0.04 in Project Viva; ß = 0.09 pg/mg, 95% CI -0.38, 0.57 in Gen3G). Our findings do not support the hypothesis that maternal hyperglycemia is related to hypothalamic-pituitary-adrenal axis activity.

Tubo-ovarian abscess caused by Edwardsiella tarda: A case report.

Tubo-ovarian abscesses (TOAs) are a complicated form of pelvic inflammatory disease (PID). They are usually caused by Bacteroides species or Escherichia coli. A 35-year-old woman presented with TOA caused by an infection with the rare pathogen Edwardsiella tarda. Thus, in a suspected case of a TOA in a patient with PID, we recommend obtaining a culture to test for a wide variety of bacterial organisms. By identifying less common pathogenic causes of TOA earlier, more conservative treatments can be used to mitigate the negative consequences of TOA and the need for surgical intervention.

Multiparous Black and Latinx Women Face More Barriers to Prenatal Care than White Women.

OBJECTIVE: Women who are late to prenatal care miss opportunities for health interventions and are at increased risk for pregnancy-related complications. Black women have the lowest rates of first trimester care compared with White or Latinx women. We sought to describe barriers to prenatal care experienced by race/ethnicity in a multi-site, prospective cohort. STUDY DESIGN: We performed a secondary analysis of the Community Child Health Research Network Study, a multi-site prospective cohort study of pregnant women from 2008 to 2012. Women were recruited at the time of delivery and followed prospectively for 2 years. Participants who experienced a repeat pregnancy in the 2-year follow-up period had a prospective assessment of prenatal care barriers. A multilevel mixed effects Poisson regression was performed to evaluate the association between race/ethnicity and number of prenatal barriers. RESULTS: Of the 298 participants in the sample, 43% of Black, 35% of Latinx, and 23% of White participants reported barriers to prenatal care. After adjustment for confounders, Black and Latinx women reported almost twice as many barriers to prenatal care as White women (adjusted rate ratio 1.89 [1.2, 3.0]; 2.00 [1.1, 3.8], respectively). CONCLUSION: In our analysis, multiparous Black and Latinx women reported encountering more barriers to prenatal care than White women. Additional reforms and policy change are needed at the clinic, local, and state levels to support women in accessing early quality prenatal care to achieve racial equity in prenatal care.

Right-Sizing Prenatal Care to Meet Patients' Needs and Improve Maternity Care Value.

Prenatal care is one of the most widely used preventive care services in the United States, yet prenatal care delivery recommendations have remained largely unchanged since just before World War II. The current prenatal care model can be improved to better serve modern patients and the health care providers who care for them in three key ways: 1) focusing more on promotion of health and wellness as opposed to primarily focusing on medical complications, 2) flexibly incorporating patient preferences, and 3) individualizing care. As key policymakers and stakeholders grapple with higher maternity care costs and poorer outcomes, including lagging access, equity, and maternal and infant morbidity and mortality in the United States compared with other high-income countries, the opportunity to improve prenatal care has been given insufficient attention. In this manuscript, we present a new conceptual model for prenatal care that incorporates both patients' medical and social needs into four phenotypes, and use human-centered design methods to describe how better matching patient needs with prenatal services can increase the use of high-value services and decrease the use of low-value services. Finally, we address some of the key challenges to implementing right-sized prenatal care, including capturing outcomes through research and payment.

Genome-scale metabolic network analysis of the opportunistic pathogen Pseudomonas aeruginosa PAO1.

Pseudomonas aeruginosa is a major life-threatening opportunistic pathogen that commonly infects immunocompromised patients. This bacterium owes its success as a pathogen largely to its metabolic versatility and flexibility. A thorough understanding of P. aeruginosa's metabolism is thus pivotal for the design of effective intervention strategies. Here we aim to provide, through systems analysis, a basis for the characterization of the genome-scale properties of this pathogen's versatile metabolic network. To this end, we reconstructed a genome-scale metabolic network of Pseudomonas aeruginosa PAO1. This reconstruction accounts for 1,056 genes (19% of the genome), 1,030 proteins, and 883 reactions. Flux balance analysis was used to identify key features of P. aeruginosa metabolism, such as growth yield, under defined conditions and with defined knowledge gaps within the network. BIOLOG substrate oxidation data were used in model expansion, and a genome-scale transposon knockout set was compared against in silico knockout predictions to validate the model. Ultimately, this genome-scale model provides a basic modeling framework with which to explore the metabolism of P. aeruginosa in the context of its environmental and genetic constraints, thereby contributing to a more thorough understanding of the genotype-phenotype relationships in this resourceful and dangerous pathogen.