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ObjectivesLate preterm and term infants comprise 97.3% of annual births in the United States. Admission criteria and the availability of medical interventions in well newborn nurseries are key determinants of these infants remaining within a mother-infant dyad or requiring a NICU admission and resultant separation of the dyad. The objective of this study was to identify national patterns for well newborn nursery care practices.MethodsWe surveyed a physician representative from each nursery in the Better Outcomes through Research for Newborns Network. We described the admission criteria and clinical management of common newborn morbidities and analyzed associations with nursery demographics.ResultsOf 96 eligible nursery representatives, 69 (72%) completed surveys. Among respondents, 59 (86%) used a minimal birth weight criterion for admission to their well newborn nursery. The most commonly used criteria were 2000 g (n = 29, 49%) and 1800 g (n = 19, 32%), with a range between 1750 and 2500 g. All nurseries used a minimal gestational age criterion for admission; the most commonly used criterion was 35 weeks (n = 55, 80%). Eleven percent of sites required transfer to the NICU for phototherapy. Common interventions in the mother's room included dextrose gel (n = 56, 81%), intravenous antibiotics (n = 35, 51%), opiates for neonatal abstinence syndrome (n = 15, 22%), and an incubator for thermoregulation (n = 14, 20%).ConclusionsWide variation in admission criteria and medical interventions exists in well newborn nurseries. Further studies may help identify evidence-based optimal admission criteria to maximize care within the mother-infant dyad.

A recent shift in public attention to racism, racial disparities, and health equity have resulted in an abundance of calls for relevant papers and publications in academic journals. Peer-review for such articles may be susceptible to bias, as subject matter expertise in the evaluation of social constructs, like race, is variable. From the perspective of researchers focused on neonatal health equity, we share our positive and negative experiences in peer-review, provide relevant publicly available data regarding addressing bias in peer-review from 12 neonatology-focused journals, and give recommendations to address bias and knowledge gaps in the peer review process of health equity research.

ObjectivesAmong childbearing women, insurance coverage determines degree of access to preventive and emergency care for maternal and infant health. Maternal-infant dyads with dual burden of severe maternal morbidity and preterm birth experience high physical and psychological morbidity, and the risk of dual burden varies by insurance type. We examined whether sociodemographic and perinatal risk factors of dual burden differed by insurance type.MethodsWe estimated relative risks of dual burden by maternal sociodemographic and perinatal characteristics in the 2007-2012 California birth cohort dataset stratified by insurance type and compared effects across insurance types using Wald Z-statistics.ResultsDual burden ranged from 0.36% of privately insured births to 0.41% of uninsured births. Obstetric comorbidities, multiple gestation, parity, and birth mode conferred the largest risks across all insurance types, but effect magnitude differed. The adjusted relative risk of dual burden associated with preeclampsia superimposed on preexisting hypertension ranged from 9.1 (95% CI 7.6-10.9) for privately insured to 15.9 (95% CI 9.1-27.6) among uninsured. The adjusted relative risk of dual burden associated with cesarean birth ranged from 3.1 (95% CI 2.7-3.5) for women with Medi-Cal to 5.4 (95% CI 3.5-8.2) for women with other insurance among primiparas, and 7.0 (95% CI 6.0-8.3) to 19.4 (95% CI 10.3-36.3), respectively, among multiparas.ConclusionsRisk factors of dual burden differed by insurance type across sociodemographic and perinatal factors, suggesting that care quality may differ by insurance type. Attention to peripartum care access and care quality provided by insurance type is needed to improve maternal and neonatal health.

Experiential learning, which may include hands-on learning paired with observation and reflection, has been applied in several industries; however, the impact of experiential learning in design education is not well known. We investigated how the type of simulation-based learning could affect the acquisition of knowledge and the ability to synthesize that understanding into insights for medical design innovation. One workshop included observational learning and the other experiential learning with hands-on training. Each course included 14-16 multidisciplinary undergraduate and graduate students. During both workshops, we measured student comprehension of two procedures--infant resuscitation and management of maternal hemorrhage. We focused on the first two phases of design thinking: "Understanding" and "Defining the Problems". Although the course focused on "medical device design", we encouraged students to look beyond the tool to imagine how their design change could impact the entire system. We did not find a significant difference between the scores given to students in the two courses by industry experts. Although the quality of the ideas and execution were similar between both workshops, the instructors noticed that the integration of hands-on training into the second workshop created a higher level of excitement in the class. The methodology and the approach adopted may be relevant to many design problems. In order to better understand the impact of observational learning versus hands-on training, both workshops could be expanded into full quarter classes that allow students to expand their design thinking skills to prototype and test their ideas in the real world.

PurposeWe use data from California, where 13% of US births occur, to address two questions arising from efforts in the first decade of this century to avoid stillbirths before 25 6/7 weeks of gestation (i.e., in the periviable period). First, did stillbirths decline in the first decade of this century? Second, if stillbirths did decline, did periviable live births increase simultaneously? Answering these questions is important given that periviable infants represent less than 1% of live births but account for roughly 40% of infant mortality and 20% of hospital-based obstetric costs in the United States.MethodsWe constructed 240 monthly conception cohorts, starting with that conceived in January 1991, from 9,880,536 singleton pregnancies that reached the 20 0/7 week of gestation. We used time-series design and Box-Jenkins methods that address confounding by autocorrelation, including secular trends and seasonality to answer our questions.ResultsWe detected a downward shift in stillbirths in April 2007 that coincided with an upward shift in periviable live births.ConclusionsOur findings imply that, since 2007, fewer Californians than expected from history and from the size of conception cohorts reaching 20 0/7 weeks of gestation have had to contend with the sequelae of stillbirths, but more than expected likely have had to contend with those of periviable births.

ObjectiveTo identify current maternal and infant predictors of infant mortality, including maternal sociodemographic and economic status, maternal perinatal smoking and obesity, mode of delivery, and infant birthweight and gestational age.MethodsThis retrospective study analyzed data from the linked birth and infant death files (birth cohort) and live births from the Birth Statistical Master files (BSMF) in California compiled by the California Department of Public Health for 2007-2015. The birth cohort study comprised 4,503,197 singleton births including 19,301 infant deaths during the nine-year study period. A subpopulation to study fetal growth consisted of 4,448,300 birth cohort records including 13,891 infant deaths.ResultsThe infant mortality rate (IMR) for singleton births decreased linearly (p

Racial and ethnic disparities in health outcomes of newborns requiring care in the NICU setting have been reported. The contribution of NICU care to disparities in outcomes is unclear. To conduct a systematic review of the literature documenting racial/ethnic disparities in quality of care for infants in the NICU setting. Medline/PubMed, Scopus, Cumulative Index of Nursing and Allied Health, and Web of Science were searched until March 6, 2018, by using search queries organized around the following key concepts: "neonatal intensive care units," "racial or ethnic disparities," and "quality of care." English language articles up to March 6, 2018, that were focused on racial and/or ethnic differences in the quality of NICU care were selected. Two authors independently assessed eligibility, extracted data, and cross-checked results, with disagreements resolved by consensus. Information extracted focused on racial and/or ethnic disparities in quality of care and potential mechanism(s) for disparities. Initial search yielded 566 records, 470 of which were unique citations. Title and abstract review resulted in 382 records. Appraisal of the full text of the remaining 88 records, along with the addition of 5 citations from expert consult or review of bibliographies, resulted in 41 articles being included. Quantitative meta-analysis was not possible because of study heterogeneity. Overall, this systematic review revealed complex racial and/or ethnic disparities in structure, process, and outcome measures, most often disadvantaging infants of color, especially African American infants. There are some exceptions to this pattern and each area merits its own analysis and discussion.

ObjectiveTo determine recent trends in maternal prepregnancy body mass index (BMI) and to quantify its association with birth and maternal outcomes.MethodsA population-based retrospective cohort study included resident women with singleton births in the California Birth Statistical Master Files (BSMF) database from 2007 to 2016. There were 4,621,082 women included out of 5,054,968 women registered in the database. 433,886 (8.6%) women were excluded due to invalid or missing information for BMI. Exposures were underweight (BMI < 18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (≥ 30 kg/m2) at the onset of pregnancy. Obesity was subcategorized into class I (30.0-34.9 kg/m2), class II (35.0-39.9 kg/m2), and class III (≥ 40 kg/m2), while adverse outcomes examined were low birth weight (LBW), very low birth weight (VLBW), macrosomic births, preterm birth (PTB), very preterm birth (VPTB), small-for-gestational-age birth (SGA), large-for-gestational-age birth (LGA), and cesarean delivery (CD). Descriptive analysis, simple linear regression, and multivariate logistic regression were performed, and adjusted odds ratios (AORs) with 95% confidence intervals (CIs) for associations were estimated.ResultsOver the ten-year study period, the prevalence of underweight and normal weight women at time of birth declined by 10.6% and 9.7%, respectively, while the prevalence of overweight and obese increased by 4.3% and 22.9%, respectively. VLBW increased significantly with increasing BMI, by 24% in overweight women and by 76% in women with class III obesity from 2007 to 2016. Women with class III obesity also had a significant increase in macrosomic birth (170%) and were more likely to deliver PTB (33%), VPTB (66%), LGA (231%), and CD (208%) than women with a normal BMI. However, obese women were less likely to have SGA infants; underweight women were 51% more likely to have SGA infants than women with a normal BMI.ConclusionsIn California from 2007 to 2016, there was a declining trend in women with prepregnancy normal weight, and a rising trend in overweight and obese women, particularly obesity class III. Both extremes of prepregnancy BMI were associated with an increased incidence of adverse neonatal outcomes; however, the worse outcomes were prominent in those women classified as obese.

BackgroundDifferences in NICU quality of care provided to very low birth weight (

To examine yearly trends of patent ductus arteriosus (PDA) diagnosis and treatment in very low birth weight infants. In this retrospective cohort study of very low birth weight infants (

BackgroundRegionalized care delivery purportedly optimizes care to vulnerable very low birth weight (VLBW;

BackgroundPostnatal growth restriction is common in preterm infants and is associated with long-term neurodevelopmental impairment. Recent trends in postnatal growth restriction are unclear.MethodsBirth and discharge weights from 25,899 Californian very low birthweight infants (birth weight 500-1500 g, gestational age 22-32 weeks) who were born between 2005 and 2012 were converted to age-specific Z-scores and analysed using multivariable modelling.ResultsBirthweight Z-score did not change between 2005 and 2012. However, the adjusted discharge weight Z-score increased significantly by 0.168 Z-scores (0.154, 0.182) over the study period, and the adjusted fall in weight Z-score between birth and discharge decreased significantly between those dates (by 0.016 Z-scores/year). The proportion of infants who were discharged home below the 10th weight-for-age centile or had a fall in weight Z-score between birth and discharge of >1 decreased significantly over time. The comorbidities most associated with poorer postnatal growth were medical or surgical necrotising enterocolitis, isolated gastrointestinal perforation and severe retinopathy of prematurity, which were associated with an adjusted mean reduction in discharge weight Z-score of 0.24, 0.57, 0.46 and 0.32, respectively. Chronic lung disease was not a risk factor after accounting for length of stay.ConclusionsPostnatal, but not prenatal, growth improved among very low birthweight infants between 2005 and 2012. Neonatal morbidities including necrotising enterocolitis, gastrointestinal perforations and severe retinopathy of prematurity have significant negative effects on postnatal growth.

ObjectiveThis observational study aimed to determine the relationship between time of birth and maternal morbidity during childbirth hospitalization.Study designComposite maternal morbidities were determined using International Classification of Diseases, Ninth Revision, Clinical Modification and vital records codes, using linked hospital discharge and vital records data for 1,475,593 singleton births in California from 2005 through 2007. Time of birth, day of week, and sociodemographic, obstetric, and hospital volume risk factors were estimated using mixed effects logistic regression models.ResultsThe odds for pelvic morbidity were lowest between 11 PM-7 AM compared to other time periods and the reference value of 7-11 AM. The odds for pelvic morbidity peaked between 11 AM-7 PM (adjusted odds ratio [AOR], 1101-1500 = 1.07; 95% confidence interval [CI], 1.06-1.09; 1501-1900 = 1.08; 95% CI, 1.06-1.10). Odds for severe morbidity were higher between 11 PM-7 AM (AOR, 2301-0300 = 1.31; 95% CI, 1.21-1.41; 0301-0700 = 1.30; 95% CI, 1.20-1.41) compared to other time periods. The adjusted odds were not statistically significant for weekend birth on pelvic morbidity (AOR, Saturday = 1.00; 95% CI, 0.98-1.02]; Sunday = 1.01; 95% CI, 0.99-1.03) or severe morbidity (AOR, Saturday = 1.09; 95% CI, 1.00-1.18; Sunday = 1.03; 95% CI, 0.94-1.13). Cesarean birth, hypertensive disorders, birthweight, and sociodemographic factors that include age, race, ethnicity, and insurance status were also significantly associated with severe morbidity.ConclusionEven after controlling for sociodemographic factors and known risks such as cesarean birth and pregnancy complications such as hypertensive disorders, birth between 11 PM-7 AM is a significant independent risk factor for severe maternal morbidity.

ObjectivesThis study aimed to estimate the incidence of emergency department (ED) visits in the neonatal period in a nationally representative sample and to examine variation by race.MethodsThe National Hospital Ambulatory Medical Care Survey is a nationally representative survey of utilization of ambulatory care services including EDs. We studied all ED visits for patients who were younger than 28 days old from 2003 to 2008. Using the national birth certificate data, we calculated the visit rates by race. Emergency department visits were also characterized by age, insurance status, diagnosis category, region, and hospital type (safety-net vs non-safety-net hospitals).ResultsThere was an average of 320,540 neonatal ED visits in the United States per year, with an estimated 7.6% of births visiting the ED within 28 days. Estimated rates of ED visits were highest among non-Hispanic blacks, with 14.4% (95% confidence interval [CI], 10.0-19.2) of newborns having an ED visit in the neonatal period, compared with 6.7% (95% CI, 4.9-7.2) for whites and 7.7% (95% CI, 5.7-9.8) for Hispanics. Hispanic and black neonates were more likely to be seen in safety-net hospitals (75.8%-78.2%) than white (57.1%) patients (P = 0.004).ConclusionsIn this first nationally representative study of neonatal visits to the ED, visits were common, with the highest rates in non-Hispanic blacks. Hispanic and black neonates were more commonly seen in safety-net hospitals. Reasons for high visit rates deserve further study to determine whether hospital discharge practices and/or access to primary care are contributing factors.

ObjectiveTo assess variation among hospitals on pediatric readmission and revisit rates and to determine the number of high- and low-performing hospitals.MethodsIn a retrospective analysis using the State Inpatient and Emergency Department Databases from the Healthcare Cost and Utilization Project with revisit linkages available, we identified pediatric (ages 1-20 years) visits with 1 of 7 common inpatient pediatric conditions (asthma, dehydration, pneumonia, appendicitis, skin infections, mood disorders, and epilepsy). For each condition, we calculated rates of all-cause readmissions and rates of revisits (readmission or presentation to the emergency department) within 30 and 60 days of discharge. We used mixed logistic models to estimate hospital-level risk-standardized 30-day revisit rates and to identify hospitals that had performance statistically different from the group mean.ResultsThirty-day readmission rates were low (1% of hospitals labeled as different from the mean on 30-day risk-standardized revisit rates was mood disorders (4.2% of hospitals [n = 15], range of hospital performance 6.3%-15.9%).ConclusionsWe found that when comparing hospitals' performances to the average, few hospitals that care for children are identified as high- or low-performers for revisits, even for common pediatric diagnoses, likely due to low hospital volumes. This limits the usefulness of condition-specific readmission or revisit measures in pediatric quality measurement.

AimTo investigate the relationship between breastmilk feeding in very-low-birth-weight infants in the neonatal intensive care unit and breastmilk feeding rates for all newborns by hospital.MethodsThis was a cross-sectional study of 111 California hospitals in 2007 and 2008. Correlation coefficients were calculated between overall hospital breastfeeding rates and breastmilk feeding rates of very-low-birth-weight infants. Hospitals were categorized in quartiles by crude and adjusted very-low-birth-weight infant rates to compare rankings between measures.ResultsCorrelation between breastmilk feeding rates of very-low-birth-weight infants and overall breastfeeding rates varied by neonatal intensive care unit level of care from 0.13 for intermediate hospitals to 0.48 for regional hospitals. For hospitals categorized in the top quartile according to overall breastfeeding rate, only 46% were in the top quartile for both crude and adjusted very-low-birth-weight infant rates. On the other hand, when considering the lowest quartile for overall breastfeeding hospitals, three of 27 (11%) actually were performing in the top quartile of performance for very-low-birth-weight infant rates.ConclusionsReporting hospital overall breastfeeding rates and neonatal intensive care unit breastmilk provision rates separately may give an incomplete picture of quality of care.

ObjectiveTo determine the incidence and risk factors for maternal morbidity during childbirth hospitalization.MethodsMaternal morbidities were determined using ICD9-CM and vital records codes from linked hospital discharge and vital records data for 1,572,909 singleton births in California during 2005-2007. Socio-demographic, obstetric and hospital volume risk factors were estimated using mixed effects logistic regression models.ResultsThe maternal morbidity rate was 241/1000 births. The most common morbidities were episiotomy, pelvic trauma, maternal infection, postpartum hemorrhage and severe laceration. Preeclampsia (adjusted odds ratio [AOR]: 2.96; 95% confidence interval 2.8,3.13), maternal age over 35 years, (AOR: 1.92; 1.79,2.06), vaginal birth after cesarean, (AOR: 1.81; 1.47,2.23) and repeat cesarean birth (AOR: 1.99; 1.87,2.12) conferred the highest odds of severe morbidity. Non-white women were more likely to suffer morbidity.ConclusionsNearly one in four California women experienced complications during childbirth hospitalization. Significant health disparities in maternal childbirth outcomes persist in the USA.

ObjectivesTo evaluate ROP screening rates in a population-based cohort; and to identify characteristics of patients that were missed.Study designWe used the California Perinatal Quality Care Collaborative data from 2005-2007 for a cross-sectional study. Using eligibility criteria, screening rates were calculated for each hospital. Multivariable regression was used to assess associations between patient clinical and sociodemographic factors and the odds of missing screening.ResultsOverall rates of missed ROP screening decreased from 18.6% in 2005 to 12.8% in 2007. Higher gestational age (OR = 1.25 for increase of 1 week, 95% CI, 1.21-1.29), higher birth weight (OR = 1.13; 95% CI, 1.10-1.15), and singleton birth (OR = 1.2; 95% CI, 1.07-1.34) were associated with higher probability of missing screening. Level II neonatal intensive care units and neonatal intensive care units with lower volume were more likely to miss screenings.ConclusionAlthough ROP screening rates improved over time, larger and older infants are at risk for not receiving screening. Furthermore, large variations in screening rates exist among hospitals in California. Identification of gaps in quality of care creates an opportunity to improve ROP screening rates and prevent impaired vision in this vulnerable population.