Role of a Nursing Informatics Specialist in a Clinical Simulation Laboratory:: The Catalytic Link.

BACKGROUND: Technology in health care is pervasive and growing exponentially. Simulation in academic settings also continues to expand with the use of advancing technologies. PROBLEM: Technology appropriate usage and implementation can become problematic without experts with the right skills in nursing simulation labs. Gaps in technology utilization, simulation best practices, and data analytics now exist. APPROACH: A school of nursing employed a nurse informaticist in its simulation laboratory to address the complexities of technology usage and aid in data analytics. OUTCOMES: The nurse informaticist was effective at promoting simulation use, increasing faculty and learner usage of the simulation space. The initiation of data capturing was also achieved. CONCLUSIONS: Highly trained nurse informaticists are ready to address the unique complexities of advanced simulation environments.

Association of Antenatal Corticosteroid Exposure and Infant Survival at 22 and 23 Weeks.

OBJECTIVE: In 2014, the leading obstetric societies published an executive summary of a joint workshop to establish obstetric interventions to be considered for periviable births. Antenatal corticosteroid administration between 220/7 and 226/7 weeks was not recommended given existing evidence. We sought to evaluate whether antenatal steroid exposure was associated with improved survival among resuscitated newborns delivered between 22 and 23 weeks of gestation. STUDY DESIGN: We conducted a population-based cohort study of all resuscitated livebirths delivered between 220/7 and 236/7 weeks of gestation in the United States during 2009 to 2014 utilizing National Center for Health Statistics data. The primary outcome was rate of survival to 1 year of life (YOL) between infant cohorts based on antenatal steroid exposure. Multivariable logistic regression estimated the association of antenatal steroid exposure on survival outcomes. RESULTS: In the United States between 2009 and 2014, there were 2,635 and 7,992 infants who received postnatal resuscitation after delivery between 220/7 to 226/7 and 230/7 to 236/7 weeks of gestation, respectively. Few infants born at 22 (15.9%) and 23 (26.0%) weeks of gestation received antenatal corticosteroids (ANCS). Among resuscitated neonates, survival to 1 YOL was 45.2 versus 27.8% (adjusted relative risk [aRR]: 1.6, 95% confidence interval [CI]: 1.2-2.1) and 57.9 versus 47.7% (aRR: 1.3, 95% CI: 1.1-1.5) for infants exposed to ANCS compared with those not exposed at 22 and 23 weeks of gestation, respectively. When stratified by 100 g birth weight category, ANCS were associated with survival among neonates weighing 500 to 599 g (aRR: 1.9, 95% CI: 1.3-2.9) and 600 to 699 g (aRR: 1.7, 95% CI: 1.1-2.6) at 22 weeks. CONCLUSION: Exposure to ANCS was associated with higher survival rates to 1 YOL among resuscitated infants born at 22 and 23 weeks. National guidelines recommending against ANCS utilization at 22 weeks should be re-evaluated given emerging evidence of benefit. KEY POINTS: · Exposure to antenatal steroids was associated with higher survival rates at 22 and 23 weeks of gestation.. · Women exposed to antenatal steroids were more likely to have an adverse outcome.. · The association between steroids and survival was observed among infants with birth weights > 500 g..

How Are Leading Research Institutions Engaging with Data Sharing Tools and Programs?

With widespread electronic health record (EHR) adoption and improvements in health information interoperability in the United States, troves of data are available for knowledge discovery. Several data sharing programs and tools have been developed to support research activities, including efforts funded by the National Institutes of Health (NIH), EHR vendors, and other public- and private-sector entities. We surveyed 65 leading research institutions (77% response rate) about their use of and value derived from ten programs/tools, including NIH's Accrual to Clinical Trials, Epic Corporation's Cosmos, and the Observational Health Data Sciences and Informatics consortium. Most institutions participated in multiple programs/tools but reported relatively low usage (even when they participated, they frequently indicated that fewer than one individual/month benefitted from the platform to support research activities). Our findings suggest that investments in research data sharing have not yet achieved desired results.

Careful: An administrative child welfare and electronic health records linked dataset.

Between 2012 and 2017, N = 2814 youth between the ages of 4 and 20 were in child protective services (CPS) custody in Hamilton County, Ohio, and placed in out-of-home care. Child welfare administrative records were extracted and linked to electronic health records for all encounters at Cincinnati Children's Hospital Medical Center, with n = 2787 (99.1%) of records successfully linked prior to de-identifying the data for research purposes. Child welfare administrative data fields in the dataset include demographics, dates of entry into and exit from protective custody and out-of-home care, reasons for entry into custody, dates of placement changes, reasons for placement changes, and types of placement (e.g., foster home, kinship home, group home, residential treatment, independent living). Electronic health records (EHR) data fields include demographics, all inpatient and outpatient encounters with medications, diagnoses, screening results, laboratory test results, flowsheet data, and problem list entries. Data have been coded to capture broader categories of health needs and encounter details, medications, and other health concerns. Due to the high representation of children in CPS custody and out-of-home care who are also represented in the EHR data, this dataset provides a comprehensive view of the medical needs and health concerns for school-aged children in CPS custody in an entire county. As a result, these data can be useful for understanding the emergence of global and specific health concerns, frequency of healthcare use, and placement stability for all youth in CPS custody in this community, accounting for variation due to other health and child welfare factors. These data are likely generalizable to other mid-sized urban communities where academic medical centers provide healthcare for children in CPS custody. De-identified data may be made available to other researchers with approved data transfer agreements between academic institutions in place.

New Homogeneous Spatial Areas Identified Using Case-Crossover Spatial Lag Grid Differences between Aerosol Optical Depth-PM2.5 and Respiratory-Cardiovascular Emergency Department Visits and Hospitalizations.

Optimal use of Hierarchical Bayesian Model (HBM)-assembled aerosol optical depth (AOD)-PM2.5 fused surfaces in epidemiologic studies requires homogeneous temporal and spatial fused surfaces. No analytical method is available to evaluate spatial heterogeneity. The temporal case-crossover design was modified to assess the spatial association between four experimental AOD-PM2.5 fused surfaces and four respiratory-cardiovascular hospital events in 12 km2 grids. The maximum number of adjacent lag grids with significant odds ratios (ORs) identified homogeneous spatial areas (HOSAs). The largest HOSA included five grids (lag grids 04; 720 km2) and the smallest HOSA contained two grids (lag grids 01; 288 km2). Emergency department asthma and inpatient asthma, myocardial infarction, and heart failure ORs were significantly higher in rural grids without air monitors than in urban grids with air monitors at lag grids 0, 1, and 01. Rural grids had higher AOD-PM2.5 concentration levels, population density, and poverty percentages than urban grids. Warm season ORs were significantly higher than cold season ORs for all health outcomes at lag grids 0, 1, 01, and 04. The possibility of elevated fine and ultrafine PM and other demographic and environmental risk factors synergistically contributing to elevated respiratory-cardiovascular chronic diseases in persons residing in rural areas was discussed.

Enrollment and outcomes of home visiting for mothers with and without a history of out-of-home care.

Women previously in out-of-home care (i.e., foster care) experience poorer health and psychosocial outcomes compared to peers, including higher pregnancy rates and child protective services involvement. Home visiting programs could mitigate risks. Studies examining home visiting enrollment for women with a history of out-of-home care are needed. Women previously in out-of-home care based on child welfare administrative data between 2012 and 2017 (n = 1375) were compared to a demographically matched sample (n = 1375) never in out-of-home care. Vital records data identified live births in the two groups. For those who had given live birth (n = 372), linked administrative data were used to determine and compare rates of referral and enrollment into home visiting, and two indicators of engagement: number of days enrolled, and number of visits received. Women previously in out-of-home care were referred for home visiting more often than their peers. There were no differences in rates of enrollment. Women previously in out-of-home care remained enrolled for shorter durations and completed fewer home visits than peers. Findings suggest barriers to home visiting enrollment and retention in home visiting programs for women previously in out-of-home care. Studies with larger samples and more complete assessments of outcomes are warranted.

Introducción: Las mujeres que previamente han estado bajo cuidado fuera de cada (v.g. hogares de cuidado adoptivo temporal) experimentan una más débil salud y resultados sicosociales en comparación con las compañeras, incluyendo tasas más altas de embarazos y participación en servicios de protección a la niñez. Los programas de visitas a casa pudieran mitigar los riesgos. Se necesitan estudios que examinen la entrada en programas de visitas a casa de mujeres con un historial de cuidado fuera de casa. Métodos: Se comparó la información administrativa entre 2012 y 2017 de mujeres (n = 1375) que previamente estuvieron en cuidados fuera de casa basados en la beneficencia infantil con un grupo muestra demográficamente emparejado (n = 1375) que nunca habían estado bajo cuidado fuera de casa. Los datos vitales registrados identificaron nacimientos vivos en los dos grupos. Para quienes habían tenido un parto y nacimiento vivo (n = 372), se usó la información administrativa conectada para determinar y comparar las tasas de referencia y entrada en programas de visitas a casa, y dos indicadores de participación: el número de días en que estuvieron matriculadas y el número de visitas recibidas. Resultados: A las mujeres previamente bajo cuidado fuera de casa se les refirió a los programas de visita a casa más a menudo que a sus compañeras. No se dieron diferencias en las tasas de matrícula. Las mujeres previamente bajo cuidado fuera de casa permanecieron matriculadas por duraciones más cortas y completaron menos visitas a casa que sus compañeras. Conclusiones: Los resultados identifican barreras a la matrícula y retención en programas de visitas a casa para mujeres previamente bajo cuidado fuera de casa. Se justifican los estudios con grupos muestras más grandes y evaluaciones más completas de los resultados.

Les femmes ayant été placées en famille ou foyer d'accueil font l'expérience d'une plus mauvaise santé et de résultats psychologiques moins bons que les autres femmes, y compris des taux de grossesse plus élevés et l'intervention de services de protection de l'enfance. Les programmes de visite à domicile peuvent mitiger les risques. Les études examinant l'inscription aux visites à domicile pour les femmes ayant un passé de placement en famille ou en foyer sont nécessaires. Méthodes: des femmes ayant vécu un placement en famille ou en foyer selon les données administratives de la protection de l'enfance entre 2012 et 2017 (n = 1375) ont été comparées à un échantillon assorti démographiquement (n = 1375) de femmes n'ayant jamais été placées en famille ou foyer d'accueil. Nous avons identifié des naissances vivantes chez les deux groupes. Pour celles ayant donné naissance (naissance vivante) (n = 372) les données administratives liées ont été utilisées afin de déterminer et de comparer les taux d'orientation et d'inscription aux visites à domicile, et deux indicateurs d'engagement: le nombre de jours inscrites et le nombre de visites reçues. Résultats: les femmes ayant été placées dans des familles ou des foyers d'accueil étaient dirigées vers les visites à domicile plus souvent que leurs pairs. Il n'y avait aucune différence dans les taux d'inscription. Les femmes ayant été en familles ou foyers d'accueil sont restées inscrites pendant des durées plus courtes et ont eu moins de visites à domiciles que leurs pairs. Conclusions: les résultats suggèrent qu'il existe des barrières à l'inscription aux visites à domicile et à la rétention dans les programmes de visites à domicile pour les femmes ayant été placées en famille ou en foyer. Des études avec des échantillons plus grands et des évaluations plus compètes sont justifiées.

Rates of substance and polysubstance use through universal maternal testing at the time of delivery.

OBJECTIVE: To report substance and polysubstance use at the time of delivery. STUDY DESIGN: A cross-sectional study was performed on mothers consented for universal drug testing (99%) during hospital admission at six delivery hospitals in Cincinnati, Ohio. Mass spectrometry urinalysis detected positivity rates of 46 substances. Rates of positive drug tests for individual and common co-occurring substances measured were reported. RESULTS: 2531 maternal samples were tested (88%) and 33% contained cotinine, 11.3% THC, 7.2% opioids, 3.8% cocaine, and 1.9% methamphetamines. Polysubstance use prevalence was as high as 15%. Among mothers testing positive for methadone or buprenorphine, 93% also tested positive for cotinine and 39% tested positive for a third substance in addition to cotinine. CONCLUSIONS: Substance use at delivery is more prevalent than previously reported. Many mothers testing positive for opioids also test positive for other substances, which may increase overdose risk and exacerbate neonatal opioid withdrawal syndrome (NOWS).

Factors Associated with Occurrence of Stillbirth before 32 Weeks of Gestation in a Contemporary Cohort.

OBJECTIVE: We sought to quantify the distribution of stillbirths by gestational age (GA) in a contemporary cohort and to determine identifiable risk factors associated with stillbirth prior to 32 weeks of gestation. STUDY DESIGN: Population-based case-control study of all stillbirths in the United States during the year 2014, utilizing vital statistics data, obtained from the National Center for Health Statistics. Distribution of stillbirths were stratified by 20 to 44 weeks of GA, in women diagnosed with stillbirth in the antepartum period. Pregnancy characteristics were compared between those diagnosed with stillbirth <32 versus ≥32 weeks of gestation. Multivariate logistic regression estimated the relative influence of various factors on the outcome of stillbirth prior to 32 weeks of gestation. RESULTS: There were 15,998 nonlaboring women diagnosed with stillbirth during 2014 in the United States between 20 and 44 weeks. Of them, 60.1% (n = 9,618) occurred before antenatal fetal surveillance (ANFS) is typically initiated (<32 weeks) and 39.9% (n = 6,380) were diagnosed at ≥32 weeks. Women with stillbirth prior to 32 weeks were more likely to be of non-Hispanic Black race (29.0 vs. 23.9%, p < 0.001), nulliparous (53.8 vs. 50.6%, p = 0.001), have chronic hypertension (CHTN; 6.0 vs. 4.3%, p < 0.001), and fetal growth restriction as evidenced by small for GA (SGA < 10th%) birth weight (44.8 vs. 42.1%, p < 0.001) as opposed to women with stillbirth after 32 weeks. After adjustment, SGA birth weight (adjusted odds ratio [aOR] = 1.2, 95% confidence interval [CI]: 1.1-1.3), Black race (aOR = 1.2, 95% CI: 1.1-1.3), and CHTN (aOR = 1.3, 95% CI: 1.1-1.5) were associated with stillbirth prior to 32 weeks of gestation as opposed to stillbirth after 32 weeks. CONCLUSION: More than 6 out of 10 stillbirths in this study occurred <32 weeks of gestation, before ANFS is typically initiated under American College of Obstetricians and Gynecologists recommendations. Among identifiable risk factors, CHTN, Black race, and fetal growth restriction were associated with higher risk of stillbirth before 32 weeks of gestation. Earlier ANFS may be warranted at in certain "at risk" women. KEY POINTS: · Six out of 10 stillbirths occur before 32 weeks of gestation.. · We evaluated factors associated with stillbirth <32 weeks.. · Hypertension and fetal growth restriction were associated with early stillbirth..

Pandemic Telemedicine Adoption Trends in a Predominantly Rural Integrated Health System.

Between March 2020 and February 2022, use of telemedicine services in the U.S. shifted dramatically in response to the evolving SARS-CoV2 pandemic. The initial wave caused many non-emergent clinical services to be postponed, including specialty care clinic visits, which were rapidly converted to telemedicine encounters. Telemedicine use ebbed and flowed with subsequent pandemic waves. This paper describes trends in telemedicine use from March 2020-February 2022 at Geisinger, a predominantly rural integrated health system. It highlights characteristics of 5,390 virtual vs. 15,740 in-person clinic visits to neurosurgery and gastroenterology specialists in December 2021 and January 2022. Differences in ordering of diagnostic testing and prescription medications, as well as post-clinic-visit utilization, varied by specialty. Virtual visits in these specialties saved patients from traveling over 174,700 miles/month to attend appointments. Analyzing telemedicine use patterns can inform future resource allocation and determine when virtual encounters can complement or replace in-person specialty care visits.

OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.

BACKGROUND: Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called "weights" or "subscores") into a final score (or probability) for quantifying the severity of critical illness (or the likelihood of in-hospital mortality). Although these simple additive models are human readable and interpretable, their predictive performance needs to be further improved. METHODS: We present OASIS +, a variant of the Oxford Acute Severity of Illness Score (OASIS) in which an ensemble of 200 decision trees is used to predict in-hospital mortality based on the 10 same clinical variables in OASIS. RESULTS: Using a test set of 9566 admissions extracted from the MIMIC-III database, we show that OASIS + outperforms nine previously developed severity scoring methods (including OASIS) in predicting in-hospital mortality. Furthermore, our results show that the supervised learning algorithms considered in our experiments demonstrated higher predictive performance when trained using the observed clinical variables as opposed to OASIS subscores. CONCLUSIONS: Our results suggest that there is room for improving the prognostic accuracy of the OASIS severity scores by replacing the simple linear additive scoring function with more sophisticated non-linear machine learning models such as RF and XGB.

Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States.

We utilize functional data analysis techniques to investigate patterns of COVID-19 positivity and mortality in the US and their associations with Google search trends for COVID-19-related symptoms. Specifically, we represent state-level time series data for COVID-19 and Google search trends for symptoms as smoothed functional curves. Given these functional data, we explore the modes of variation in the data using functional principal component analysis (FPCA). We also apply functional clustering analysis to identify patterns of COVID-19 confirmed case and death trajectories across the US. Moreover, we quantify the associations between Google COVID-19 search trends for symptoms and COVID-19 confirmed case and death trajectories using dynamic correlation. Finally, we examine the dynamics of correlations for the top nine Google search trends of symptoms commonly associated with COVID-19 confirmed case and death trajectories. Our results reveal and characterize distinct patterns for COVID-19 spread and mortality across the US. The dynamics of these correlations suggest the feasibility of using Google queries to forecast COVID-19 cases and mortality for up to three weeks in advance. Our results and analysis framework set the stage for the development of predictive models for forecasting COVID-19 confirmed cases and deaths using historical data and Google search trends for nine symptoms associated with both outcomes.

Regional comparison of self-reported late pregnancy cigarette smoking to mass spectrometry analysis.

OBJECTIVE: To report a more accurate prevalence estimate of late pregnancy nicotine exposures. STUDY DESIGN: A cross-sectional study during a 2-month period in 2019. Participants were women delivering in any of the six county maternity hospitals who consented to universal drug testing at the time of delivery as part of routine hospital admission. RESULTS: Of 2531 tested samples, 18.7% tested positive for high levels of cotinine indicating primary smoking or other primary use of tobacco products. Together, 33.0% of the study population tested positive for nicotine exposure during late pregnancy compared to vital records which reported 8.2% cigarette smoking during the third trimester of pregnancy and 10.5% cigarette smoking at any time during pregnancy through maternal self-report. CONCLUSION: Captured vital birth smoking measures vastly underreport actual primary exposures to nicotine products. Vital birth data also fail to capture secondhand exposures which constitute a significant proportion of the population.

Association between mode of delivery and infant survival at 22 and 23 weeks of gestation.

BACKGROUND: Cesarean delivery is currently not recommended before 23 weeks' gestation unless for maternal indications, even in the setting of malpresentation. These recommendations are based on a lack of evidence of improved neonatal outcomes and survival following cesarean delivery and the maternal risks associated with cesarean delivery at this early gestational age. However, as neonatal resuscitative measures and obstetrical interventions improve, studies evaluating the potential neonatal benefit of periviable cesarean delivery have reported inconsistent findings. OBJECTIVE: This study aimed to compare the survival rates at 1 year of life among resuscitated infants delivered by cesarean delivery with those delivered vaginally at 22 and 23 weeks of gestation. STUDY DESIGN: We conducted a population-based cohort study of all resuscitated livebirths delivered between 22 0/7 and 23 6/7 weeks of gestational age in the United States between 2007 and 2013. The primary outcome was the rate of infant survival at 1 year of life for different routes of delivery (cesarean vs vaginal delivery) at both 22 and 23 weeks of gestation. The secondary outcome variables included infant survival rates for neonates who survived beyond 24 hours of life, neonatal survival, and the length of survival. A secondary analysis also included a comparison of the infant survival rates between the different routes of delivery cohorts stratified by fetal presentation, steroid exposure, and ventilation. Information about composite adverse maternal outcomes were limited to infants who were delivered between 2011 and 2013 (when these items were first reported) and were defined as a requirement for blood transfusion, an unplanned operating room procedure following delivery, unplanned hysterectomy, and intensive care unit admission; the composite adverse maternal outcomes were also compared between the different delivery route cohorts for deliveries occurring between 22 and 23 weeks of gestation. Multivariable logistic regression analysis was used to determine the association between cesarean delivery and infant survival and other neonatal and maternal outcomes. RESULTS: Resuscitated infants delivered by cesarean delivery had higher rates of survival at 22 weeks (44.9 vs 23.0%; P<.001) and at 23 weeks (53.3 vs 43.4%; P<.001) of gestation regardless of fetal presentation. Multivariable logistic regression analysis demonstrated that infants who were delivered by cesarean delivery at 22 weeks (adjusted relative risk, 2.3; 95% confidence interval, 1.9-2.8) and 23 weeks (adjusted relative risk, 1.4; 95% confidence interval, 1.2-1.5) of gestation were more likely to survive than those delivered vaginally. When the cohort was limited to neonates who survived beyond the first 24 hours of life, vertex neonates born by cesarean delivery were not more likely to survive at 22 weeks (adjusted relative risk, 1.2; 95% confidence interval, 0.9-1.7) or 23 weeks (adjusted relative risk, 1.1; 95% confidence interval, 0.9-1.3) of gestation. An increased risk for composite adverse maternal outcomes (adjusted relative risk, 1.7; 95% confidence interval, 1.1-2.7) was associated with cesarean delivery at 22 to 23 weeks of gestation. CONCLUSION: Cesarean delivery is associated with increased survival at 1 year of life among resuscitated, periviable infants born between 22 0/7 and 23 6/7 weeks of gestation, especially in the setting of nonvertex presentation. However, cesarean delivery is associated with increased maternal morbidity.

Regional Contribution of Previable Infant Deaths to Infant Mortality Rates in the United States.

OBJECTIVE: Lack of standardization of infant mortality rate (IMR) calculation between regions in the United States makes comparisons potentially biased. This study aimed to quantify differences in the contribution of early previable live births (<20 weeks) to U.S. regional IMR. STUDY DESIGN: Population-based cohort study of all U.S. live births and infant deaths recorded between 2007 and 2014 using Centers for Disease Control and Prevention's (CDC's) WONDER database linked birth/infant death records (births from 17-47 weeks). Proportion of infant deaths attributable to births <20 vs. 20 to 47 weeks, and difference (ΔIMR) between reported and modified (births ≥20 weeks) IMRs were compared across four U.S. census regions (North, South, Midwest, and West). RESULTS: Percentages of infant deaths attributable to birth <20 weeks were 6.3, 6.3, 5.3, and 4.1% of total deaths for Northeast, Midwest, South, and West, respectively, p < 0.001. Contribution of < 20-week deaths to each region's IMR was 0.34, 0.42, 0.37, and 0.2 per 1,000 live births. Modified IMR yielded less regional variation with IMRs of 5.1, 6.2, 6.6, and 4.9 per 1,000 live births. CONCLUSION: Live births at <20 weeks contribute significantly to IMR as all result in infant death. Standardization of gestational age cut-off results in more consistent IMRs among U.S. regions and would result in U.S. IMR rates exceeding the healthy people 2020 goal of 6.0 per 1,000 live births.

Subclinical and Overt Newborn Opioid Exposure: Prevalence and First-Year Healthcare Utilization.

OBJECTIVES: To categorize newborn infants in Hamilton County, Ohio by late pregnancy fetal opioid exposure status and to assess their first-year healthcare utilization. STUDY DESIGN: We used a population-based cohort of 41 136 live births from 2014-2017 and analyzed healthcare encounters in the first year of life from electronic health records. We prospectively assessed for the presence of opioids in maternal urine collected at delivery and for a diagnosis of newborn neonatal abstinence syndrome (NAS). At birth, infants were classified as unexposed to opioids, exposed to opioids and diagnosed with NAS, or subclinically exposed to opioids (exposure that did not result in NAS). RESULTS: The prevalence of newborn opioid exposure was 37 per 1000 births. The duration of the hospital birth encounter was significantly longer for infants with subclinical exposure compared with unexposed infants (10% increase; 95% CI, 7%-13%). However, duration for infants with subclinical exposure was shorter compared to those with NAS. Neither subclinical exposure nor NAS was associated with total emergency department visits. Subclinical exposure was associated with increased odds of having at least 1 hospitalization in the first year. However, the total length of stay for hospitalizations was 82% that of the unexposed group (95% CI, 75%-89%). Infants with NAS had a 213% longer total length of stay compared with the unexposed group (95% CI, 191%-237%). CONCLUSIONS: Subclinical and overt opioid exposure among newborn infants was associated with increased first-year healthcare utilization. From 2014 to 2017, this cost the Hamilton County healthcare system an estimated $1 109 452 for longer birth encounters alone.

Risk Calculator to Predict Cesarean Delivery Among Women Undergoing Induction of Labor.

OBJECTIVE: To develop and validate a predictive risk calculator for cesarean delivery among women undergoing induction of labor. METHODS: We performed a population-based cohort study of all women who had singleton live births after undergoing induction of labor from 32 0/7 to 42 6/7 weeks of gestation in the United States from 2012 to 2016. The primary objective was to build a predictive model estimating the probability of cesarean delivery after induction of labor using antenatal factors obtained from de-identified U.S. live-birth records. Multivariable logistic regression estimated the association of these factors on risk of cesarean delivery. K-fold cross validation was performed for internal validation of the model, followed by external validation using a separate live-birth cohort from 2017. A publicly available online calculator was developed after validation and calibration were performed for individual risk assessment. The seven variables selected for inclusion in the model by magnitude of influence were prior vaginal delivery, maternal weight at delivery, maternal height, maternal age, prior cesarean delivery, gestational age at induction, and maternal race. RESULTS: From 2012 to 2016, there were 19,844,580 live births in the United States, of which 4,177,644 women with singleton gestations underwent induction of labor. Among these women, 800,423 (19.2%) delivered by cesarean. The receiver operating characteristic curve for the seven-variable model achieved an area under the curve (AUC) of 0.787 (95% CI 0.786-0.788). External validation demonstrated a consistent measure of discrimination with an AUC of 0.783 (95% CI 0.764-0.802). CONCLUSION: This validated predictive model uses seven variables that were obtainable from the patient's medical record and discriminates between women at increased or decreased risk of cesarean delivery after induction of labor. This risk calculator, found at https://ob.tools/iol-calc, can be used in addition to the Bishop score by health care providers in counseling women who are undergoing an induction of labor and allocating appropriate resources for women at high risk for cesarean delivery.

Effect of Needle Exchange Program on Maternal Hepatitis C Virus Prevalence.

OBJECTIVE: This study aimed to quantify the prevalence of maternal hepatitis C virus (HCV) before and after implementation of the needle exchange program (NEP) in Scioto County, Ohio. STUDY DESIGN: We conducted a population-based retrospective cohort study of all live births in Ohio (2006-2015). Frequency of maternal HCV was compared before (2006-2011) and after (2012-2015) the implementation of an NEP (2011) in Portsmouth, Ohio (Scioto County). Trends in maternal HCV prevalence in neighboring counties both physically adjacent and regional to Scioto County were also evaluated before and after NEP implementation. RESULTS: During the study period, there were 7,069 reported cases of maternal HCV infection at the time of delivery among 1,463,506 (0.5%) live births in Ohio. The rate of maternal HCV infection increased 137% in Scioto County between 2006 and 2011. After initiation of the NEP in Portsmouth, Ohio, in 2011, the rate of increase in the following 4 years (2012-2015) was 12%. The rate of increase in maternal HCV declined precipitously in counties physically adjacent to Scioto County, whereas regional counties continued to have substantial increases in maternal HCV. CONCLUSION: Rate of maternal HCV infection increased 137% versus 12% (rate difference: 125%) between pre- and post-NEP implementation time periods in Scioto County.

Reported Prevalence of Maternal Hepatitis C Virus Infection in the United States.

OBJECTIVE: To quantify the reported prevalence and trend of maternal hepatitis C virus (HCV) infection in the United States (2009-2017) and identify maternal characteristics and obstetric outcomes associated with HCV infection during pregnancy. METHODS: We conducted a population-based retrospective cohort study of all live births in the United States for the period 2009 through 2017 using National Center for Health Statistics birth records. We estimated reported prevalence and trends over this time period for the United States. We also evaluated demographic factors and pregnancy outcomes associated with maternal HCV infection for a contemporary U.S. cohort (2014-2017). RESULTS: During the 9-year study period, there were 94,824 reported cases of maternal HCV infection among 31,207,898 (0.30%) live births in the United States. The rate of maternal HCV infection increased from 1.8 cases per 1,000 live births to 4.7 cases per 1,000 live births (relative risk [RR] 2.7, 95% CI 2.6-2.8) in the United States. After adjusting for various confounders in the contemporary U.S. cohort (2014-2017), demographic characteristics associated with HCV infection included non-Hispanic white race (adjusted RR 2.8, 95% CI 2.7-2.8), Medicaid insurance (adjusted RR 3.3, CI 3.2-3.3), and cigarette smoking (adjusted RR 11.1, CI 10.9-11.3). Co-infection during pregnancy with hepatitis B (adjusted RR 19.2, CI 18.1-20.3), gonorrhea, chlamydia, or syphilis were also associated with maternal HCV infection. Obstetric and neonatal outcomes associated with maternal HCV infection included cesarean delivery, preterm birth, maternal intensive care unit admission, blood transfusion, having small-for-gestational-age neonates (less than the 10th percentile) birth weight, neonatal intensive care unit admission, need for assisted neonatal ventilation, and neonatal death. CONCLUSION: The reported prevalence of maternal HCV infection has increased 161% from 2009 to 2017.

Contribution of Satellite-Derived Aerosol Optical Depth PM2.5 Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland.

The fine particulate matter baseline (PMB), which includes PM2.5 monitor readings fused with Community Multiscale Air Quality (CMAQ) model predictions, using the Hierarchical Bayesian Model (HBM), is less accurate in rural areas without monitors. To address this issue, an upgraded HBM was used to form four experimental aerosol optical depth (AOD)-PM2.5 concentration surfaces. A case-crossover design and conditional logistic regression evaluated the contribution of the AOD-PM2.5 surfaces and PMB to four respiratory-cardiovascular hospital events in all 99 12 km2 CMAQ grids, and in grids with and without ambient air monitors. For all four health outcomes, only two AOD-PM2.5 surfaces, one not kriged (PMC) and the other kriged (PMCK), had significantly higher Odds Ratios (ORs) on lag days 0, 1, and 01 than PMB in all grids, and in grids without monitors. In grids with monitors, emergency department (ED) asthma PMCK on lag days 0, 1 and 01 and inpatient (IP) heart failure (HF) PMCK ORs on lag days 01 were significantly higher than PMB ORs. Warm season ORs were significantly higher than cold season ORs. Independent confirmation of these results should include AOD-PM2.5 concentration surfaces with greater temporal-spatial resolution, now easily available from geostationary satellites, such as GOES-16 and GOES-17.

Adapting Clinical Systems to Enable Adolescents' Genomic Choices.

Background: We offered adolescents personalized choices about the type of genetic results they wanted to learn during a research study and created a workflow to filter and transfer the results to the electronic health record (EHR). Methods: We describe adaptations needed to ensure that adolescents' results documented in the EHR and returned to adolescent/parent dyads matched their choices. A web application enabled manual modification of the underlying laboratory report data based on adolescents' choices. The final PDF format of the laboratory reports was not viewable through the EHR patient portal, so an EHR form was created to support the manual entry of discrete results that could be viewed in the portal. Results: Enabling adolescents' choices about genetic results was a labor-intensive process. More than 350 hours was required for development of the application and EHR form, as well as over 50 hours of a study professional's time to enter choices into the application and EHR. Adolescents and their parents who learned genetic results through the patient portal indicated that they were satisfied with the method of return and would make their choices again if given the option. Conclusion: Although future EHR upgrades are expected to enable patient portal access to PDFs, additional improvements are needed to allow the results to be partitioned and filtered based on patient preferences. Furthermore, separating these results into more discrete components will allow them to be stored separately in the EHR, supporting the use of these data in clinical decision support or artificial intelligence applications.