Cohort selection and the estimation of racial disparity in mortality of extremely preterm neonates.

BACKGROUND: Racial disparities in preterm neonatal mortality are long-standing. We aimed to assess how cohort selection influences mortality rates and racial disparity estimates. METHODS: With 2014-2018 California data, we compared neonatal mortality rates among Black and non-Hispanic White very low birth weight (VLBW, <1500 g) or very preterm infants (22-29 weeks gestational age). Relative risks were estimated by different cohort selection criteria. Blinder-Oaxaca decomposition quantified factors contributing to mortality differential. RESULTS: Depending upon standard selection criteria, mortality ranged from 6.2% (VLBW infants excluding first 12-h deaths) to 16.0% (22-29 weeks' gestation including all deaths). Black observed neonatal mortality was higher than White infants only for delivery room deaths in VLBW infants (5.6 vs 4.2%). With risk adjustment accounting for higher rate of low gestational age, low Apgar score and other factors, White infant mortality increased from 15.9 to 16.6%, while Black infant mortality decreased from 16.7 to 13.7% in the 22-29 weeks cohort. Across varying cohort selection, risk adjusted survival advantage among Black infants ranged from 0.70 (CL 0.61-0.80) to 0.84 (CL 0.76-0.93). CONCLUSIONS: Standard cohort selection can give markedly different mortality estimates. It is necessary to reduce prematurity rates and perinatal morbidity to improve outcomes for Black infants. IMPACT: In this population-based observational cohort study that encompassed very low birth weight infant hospitalizations in California, varying standard methods of cohort selection resulted in neonatal mortality ranges from 6.2 to 16.0%. Across all cohorts, the only significant observed Black-White disparity was for delivery room deaths in Very Low Birth Weight births (5.6 vs 4.2%). Across all cohorts, we found a 16-30% survival advantage for Black infants. Cohort selection can result in an almost three-fold difference in estimated mortality but did not have a meaningful impact on observed or adjusted differences in neonatal mortality outcomes by race and ethnicity.

Linked birth cohort files for perinatal health research: California as a model for methodology and implementation.

PURPOSE: Rigorous perinatal epidemiologic research depends on population-based parental and neonatal sociodemographic and clinical data. Here we describe the creation of linked birth cohort files, an enriched data source that combines information from vital records with maternal delivery and infant hospital encounter records. METHODS: Probabilistic linkage techniques were used to link vital records (i.e., birth and fetal death certificates) from the California Department of Public Health with hospital inpatient, ambulatory surgery and emergency department encounter data for mothers and infants from the California Department of Health Care Access and Information. RESULTS: From 2012 to 2018, 95% of live birth records were successfully linked to maternal and newborn hospital records while 85% of fetal death records were linked to a maternal delivery record. Overall, 93% of postnatal hospital encounters of infants (i.e., <1 year old) were matched to a linked record. CONCLUSIONS: The linked birth cohort files is a rich resource opening many possibilities for understanding perinatal health outcomes and opportunities for linkage to longitudinal, social determinant, and environmental data. To optimally use this file for research, analysts should evaluate possible shortcomings or biases of the data sources being linked.

Measuring Variation in Interpregnancy Interval: Identifying Hotspots for Improvement Initiatives.

OBJECTIVE: The study aimed to determine if single year birth certificate data can be used to identify regional and hospital variation in rates of short interpregnancy interval (IPI < 6 months). STUDY DESIGN: IPI was estimated for multiparous women ages 15 to 44 years with singleton live births between 2015 and 2016. Perinatal outcomes, place of birth, maternal race, and data for IPI calculations were obtained by using birth certificates. IPI frequencies are presented as observed rates. RESULTS: The cohort included 562,039 multiparous women. Short IPI rates were similar to those obtained with analyses by using linked longitudinal data and confirmed the association with preterm birth. Short IPI rates varied by race and Hispanic nativity. There was substantial hospital (0.8-9%) and regional (2.9-6.2%) variation in short IPI rates. CONCLUSION: IPI rates can be reliably obtained from current year birth certificate data. This can be a useful tool for quality improvement projects targeting interventions and rapidly assessing their progress to promote optimal birth spacing. KEY POINTS: · Near-real time regional and hospital IPI rates can be reliably obtained from current year birth certificate data.. · Substantial variations in rates of short IPI exist between hospital and perinatal regions.. · IPI rates from individual birth certificates can be a tool to target and assess interventions..

Validation of ICD-10-CM Diagnosis Codes for Gestational Age at Birth.

BACKGROUND: The International Classification of Diseases , 10th Revision, Clinical Modification (ICD-10-CM) introduced diagnosis codes for week of gestation. Our objective was to assess the validity of these codes among live births, which could have major utility in perinatal research and quality improvement. METHODS: We used linked birth certificate and patient discharge data from births in California during 2016-2019 (N = 1,843,992). We identified gestational age using Z3A.xx ICD-10-CM diagnosis codes in birthing patient discharge data and compared it with the gold standard of obstetric estimate, as recorded on the birth certificate. We further assessed sensitivity and specificity of gestational age categories (≥37 weeks, <37 weeks, <32 weeks, <28 weeks), given these categories are frequently of interest, and evaluated differences in validity of preterm birth (<37 weeks' gestation) by patient characteristics. RESULTS: One-million seven-hundred seventy-thousand one-hundred three patients had a gestational age recorded in patient discharge and birth certificate data. When comparing gestational age in patient discharge data with birth certificate data, the concordance correlation coefficient was 0.96 (95% confidence interval [CI] = 0.96, 0.96) and the mean difference between the two measurements was 0.047 weeks (95% CI = 0.046, 0.047 weeks). Ninety-five percent of the differences between the two measurements were between -1.00 week and +1.09 weeks. Sensitivity and specificity were 0.94 to 1.00 for all gestational age categories and were 0.94 to 1.00 for preterm birth across sociodemographic groups. CONCLUSIONS: We found week-specific gestational age at delivery ICD-10-CM diagnosis codes in patient discharge data to have high validity when compared with the best obstetric estimate on the birth certificate.

Vignette Research Methodology: An Essential Tool for Quality Improvement Collaboratives.

Variation in patient outcomes among institutions and within institutions is a major problem in healthcare. Some of this variation is due to differences in practice, termed practice variation. Some practice variation is expected due to appropriately personalized care for a given patient. However, some practice variation is due to the individual preference or style of the clinicians. Quality improvement collaboratives are commonly used to disseminate quality care on a wide scale. Practice variation is a notable barrier to any quality improvement effort. A detailed and accurate understanding of practice variation can help optimize the quality improvement efforts. The traditional survey methods do not capture the complex nuances of practice variation. Vignette methods have been shown to accurately measure the actual practice variation and quality of care delivered by clinicians. Vignette methods are cost-effective relative to other methods of measuring quality of care. This review describes our experience and lessons from implementing vignette research methods in quality improvement collaboratives in California neonatal intensive care units. Vignette methodology is an ideal tool to address practice variation in quality improvement collaboratives, actively engage a large number of participants, and support more evidence-based practice to improve outcomes.

Randomized controlled trial of the "WISER" intervention to reduce healthcare worker burnout.

OBJECTIVE: Test web-based implementation for the science of enhancing resilience (WISER) intervention efficacy in reducing healthcare worker (HCW) burnout. DESIGN: RCT using two cohorts of HCWs of four NICUs each, to improve HCW well-being (primary outcome: burnout). Cohort 1 received WISER while Cohort 2 acted as a waitlist control. RESULTS: Cohorts were similar, mostly female (83%) and nurses (62%). In Cohorts 1 and 2 respectively, 182 and 299 initiated WISER, 100 and 176 completed 1-month follow-up, and 78 and 146 completed 6-month follow-up. Relative to control, WISER decreased burnout (-5.27 (95% CI: -10.44, -0.10), p = 0.046). Combined adjusted cohort results at 1-month showed that the percentage of HCWs reporting concerning outcomes was significantly decreased for burnout (-6.3% (95%CI: -11.6%, -1.0%); p = 0.008), and secondary outcomes depression (-5.2% (95%CI: -10.8, -0.4); p = 0.022) and work-life integration (-11.8% (95%CI: -17.9, -6.1); p < 0.001). Improvements endured at 6 months. CONCLUSION: WISER appears to durably improve HCW well-being. CLINICAL TRIALS NUMBER: NCT02603133; https://clinicaltrials.gov/ct2/show/NCT02603133.

Multilevel social factors and NICU quality of care in California.

OBJECTIVE: Our objective was to incorporate social and built environment factors into a compendium of multilevel factors among a cohort of very low birth weight infants to understand their contributions to inequities in NICU quality of care and support providers and NICUs in addressing these inequities via development of a health equity dashboard. STUDY DESIGN: We examined bivariate associations between NICU patient pool and NICU catchment area characteristics and NICU quality of care with data from a cohort of 15,901 infants from 119 NICUs in California, born 2008-2011. RESULT: NICUs with higher proportion of minority racial/ethnic patients and lower SES patients had lower quality scores. NICUs with catchment areas of lower SES, higher composition of minority residents, and more household crowding had lower quality scores. CONCLUSION: Multilevel social factors impact quality of care in the NICU. Their incorporation into a health equity dashboard can inform providers of their patients' potential resource needs.

Population Improvement Bias Observed in Estimates of the Impact of Antenatal Steroids to Outcomes in Preterm Birth.

OBJECTIVE: To examine the hypothesis that increasing rates and differential uptake of antenatal steroids would bias estimation of impact of antenatal steroids on neonatal death and severe (grade III-IV) intraventricular hemorrhage (IVH). STUDY DESIGN: The study population included infants born between 24 and 28 weeks of gestational age in the California Perinatal Quality Care Collaborative. Outcomes were in-hospital mortality and severe IVH. Mixed multivariable logistic regression models estimated the effect of antenatal steroid exposure, one model accounting for individual risk factors as fixed effects, and a second model incorporating a predicted probability factor estimating overall risk status for each time period. RESULTS: The study cohort included 28 252 infants. Antenatal steroid exposure increased from 80.1% in 2005 to 90.3% in 2016, severe IVH decreased from 14.5% to 9.0%, and mortality decreased from 12.8% to 9.1%. When stratified by group, 3-year observed outcomes improved significantly in infants exposed to antenatal steroids (12.5%-8.6% for IVH, 11.5%-8.8% for death) but not in those not exposed (20.7%-19.1% and 16.6%-15.5%, respectively). Women not receiving antenatal steroids had greater risk profile (such as no prenatal care) and greater predicted probability for severe IVH and mortality. Both outcomes exhibited little change (P > .05) over time for the group without antenatal steroids. In contrast, in women receiving antenatal steroids, observed and adjusted rates for both outcomes decreased (P < .0001). CONCLUSIONS: As the population's proportion of antenatal steroid use increased, the observed positive effect of antenatal steroids also increased. This apparent increase may be designated as the "population improvement bias."

Building the First Statewide Quality Improvement Collaborative, the CPQCC: A Historic Perspective.

The California Perinatal Quality Improvement Collaborative (CPQCC), founded in 1997, was the country's first statewide perinatal quality improvement collaborative. Our goal was to improve the quality and outcomes of perinatal healthcare in California by developing a collaborative network of public and private obstetric and neonatal providers, insurers, public health professionals, and business groups to support a system for benchmarking and performance improvement activities for perinatal care. In this presentation, we describe how viewing the CPQCC as a complex value-driven organization, committed to identifying and addressing the needs of both its stakeholder partners and neonatal intensive care unit (NICU) members, has shaped the course of its development.

Maternal and infant predictors of infant mortality in California, 2007-2015.

OBJECTIVE: To 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. METHODS: This 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. RESULTS: The infant mortality rate (IMR) for singleton births decreased linearly (p <0.001) from 4.68 in 2007 to 3.90 (per 1,000 live births) in 2015. However, significant disparities in IMR were uncovered in different population groups depending upon maternal sociodemographic and economic characteristics and maternal characteristics during pregnancy. Children of African American women had almost twice the risk of infant mortality when compared with children of White women (AOR 2.12; 95% CI, 1.98-2.27; p<0.001). Infants of women with Bachelor's degrees or higher were 89% less likely to die (AOR 1.89; 95% CI, 1.76-2.04; p<0.001) when compared to infants of women with education less than high school. Infants of maternal smokers were 75% more likely to die (AOR 1.75; 95% CI, 1.58-1.93; p<0.001) than infants of nonsmokers. Infants of women who were overweight and obese during pregnancy accounted for 55% of IMR over all women in the study. More than half of the infant deaths were to children of women with lower socioeconomic status; infants of WIC participants were 59% more likely to die (AOR 1.59; 95% CI, 1.52-1.67; p<0.001) than infants of non-WIC participants. With respect to infant predictors, infants born with LBW or PTB were more than six times (AOR 6.29; 95% CI, 5.90-6.70; p<0.001) and almost four times (AOR 3.95; 95% CI, 3.73-4.19; p<0.001) more likely to die than infants who had normal births, respectively. SGA and LGA infants were more than two times (AOR 2.03; 95% CI, 1.92-2.15; p<0.001) and 41% (AOR 1.41; 95% CI, 1.32-1.52; p<0.001) more likely to die than AGA infants, respectively. CONCLUSIONS: While the overall IMR in California is declining, wide disparities in death rates persist in different groups, and these disparities are increasing. Our data indicate that maternal sociodemographic and economic factors, as well as maternal prepregnancy obesity and smoking during pregnancy, have a prominent effect on IMR though no causality can be inferred with the current data. These predictors are not typically addressed by direct medical care. Infant factors with a major effect on IMR are birthweight and gestational age-predictors that are addressed by active medical services. The highest value interventions to reduce IMR may be social and public health initiatives that mitigate disparities in sociodemographic, economic and behavioral risks for mothers.

Time of Birth and the Risk of Severe Unexpected Complications in Term Singleton Neonates.

OBJECTIVE: To assess whether there is a relationship between evening, night, and weekend births and severe unexpected neonatal morbidity in low-risk term singleton births. METHODS: We conducted a population-based, cross-sectional analysis. Severe unexpected neonatal morbidity as defined by the National Quality Forum specification 0716 was derived from linked birth certificate and hospital discharge summaries for 1,048,957 low-risk singleton term Californian births during 2011 through 2013. The association between the nursing shift (7 am-3 pm vs 3-11 pm and 11 pm -7 am) and weekday compared with weekend birth and the risk of severe unexpected neonatal morbidity was estimated using mixed effects logistic regression models. RESULTS: Severe unexpected neonatal morbidity was higher among births during the 3-11 pm evening shift (2.1%) and the 11 pm-7 am night shift (2.1%), compared with those during the 7 am-3 pm day shift (1.8%). The adjusted odds ratios (ORs) were 1.10 (95% CI 1.06-1.13) for the evening shift and 1.15 (1.11-1.19) for the night shift. The adjusted ORs of severe unexpected neonatal morbidity were increased only on Sunday, as compared with other days (adjusted OR 1.08, 95% CI 1.02-1.14). When our analysis was by perinatal region, the increase was seen in four of the nine perinatal regions. CONCLUSION: After risk adjustment, the risk of severe unexpected morbidity in the low-risk singleton California birth cohort was significantly increased on Sundays and births during evening and night shifts. These elevations were detected in only four of California's nine perinatal regions. Further analysis at the individual hospital level is warranted.

Survival Without Major Morbidity Among Very Low Birth Weight Infants in California.

OBJECTIVES: To examine trends in survival without major morbidity and its individual components among very low birth weight infants across California and assess remaining gaps that may be opportune targets for improvement efforts. METHODS: The study population included infants born between 2008 and 2017 with birth weights of 401 to 1500 g or a gestational age of 22 to 29 weeks. Risk-adjusted trends of survival without major morbidity and its individual components were analyzed. Survival without major morbidity was defined as the absence of death during birth hospitalization, chronic lung disease, severe peri-intraventricular hemorrhage, nosocomial infection, necrotizing enterocolitis, severe retinopathy of prematurity or related surgery, and cystic periventricular leukomalacia. Variations in adjusted rates and/or interquartile ranges were examined. To assess opportunities for additional improvement, all hospitals were reassigned to perform as if in the top quartile, and recalculation of predicted numbers were used to estimate potential benefit. RESULTS: In this cohort of 49 333 infants across 142 hospitals, survival without major morbidity consistently increased from 62.2% to 66.9% from 2008 to 2017. Network variation decreased, with interquartile ranges decreasing from 21.1% to 19.2%. The largest improvements were seen for necrotizing enterocolitis and nosocomial infection. Bronchopulmonary dysplasia rates did not change significantly. Over the final 3 years, if all hospitals performed as well as the top quartile, an additional 621 infants per year would have survived without major morbidity, accounting for an additional 6.6% annual improvement. CONCLUSIONS: Although trends are promising, bronchopulmonary dysplasia remains a common and persistent major morbidity, remaining a target for continued quality-improvement efforts.

Racial/Ethnic Disparities Among Extremely Preterm Infants in the United States From 2002 to 2016.

Importance: Racial/ethnic disparities in quality of care among extremely preterm infants are associated with adverse outcomes. Objective: To assess whether racial/ethnic disparities in major outcomes and key care practices were changing over time among extremely preterm infants. Design, Setting, and Participants: This observational cohort study used prospectively collected data from 25 US academic medical centers. Participants included 20 092 infants of 22 to 27 weeks' gestation with a birth weight of 401 to 1500 g born at centers participating in the National Institute of Child Health and Human Development Neonatal Research Network from 2002 to 2016. Of these infants, 9316 born from 2006 to 2014 were eligible for follow-up at 18 to 26 months' postmenstrual age (excluding 5871 infants born before 2006, 2594 infants born after 2014, and 2311 ineligible infants including 64 with birth weight >1000 g and 2247 infants with gestational age >26 6/7 weeks), of whom 745 (8.0%) did not have known follow-up outcomes at 18 to 26 months. Main Outcomes and Measures: Rates of mortality, major morbidities, and care practice use over time were evaluated using models adjusted for baseline characteristics, center, and birth year. Data analyses were conducted from 2018 to 2019. Results: In total, 20 092 infants with a mean (SD) gestational age of 25.1 (1.5) weeks met the inclusion criteria and were available for the primary outcome: 8331 (41.5%) black infants, 3701 (18.4%) Hispanic infants, and 8060 (40.1%) white infants. Hospital mortality decreased over time in all groups. The rate of improvement in hospital mortality over time did not differ among black and Hispanic infants compared with white infants (black infants went from 35% to 24%, Hispanic infants went from 32% to 27%, and white infants went from 30% to 22%; P = .59 for race × year interaction). The rates of late-onset sepsis among black infants (went from 37% to 24%) and Hispanic infants (went from 45% to 23%) were initially higher than for white infants (went from 36% to 25%) but decreased more rapidly and converged during the most recent years (P = .02 for race × year interaction). Changes in rates of other major morbidities did not differ by race/ethnicity. Death before follow-up decreased over time (from 2006 to 2014: black infants, 14%; Hispanic infants, 39%, white infants, 15%), but moderate-severe neurodevelopmental impairment increased over time in all racial/ethnic groups (increase from 2006 to 2014: black infants, 70%; Hispanic infants, 123%; white infants, 130%). Rates of antenatal corticosteroid exposure (black infants went from 72% to 90%, Hispanic infants went from 73% to 83%, and white infants went from 86% to 90%; P = .01 for race × year interaction) and of cesarean delivery (black infants went from 45% to 59%, Hispanic infants went from 49% to 59%, and white infants went from 62% to 63%; P = .03 for race × year interaction) were initially lower among black and Hispanic infants compared with white infants, but these differences decreased over time. Conclusions and Relevance: Among extremely preterm infants, improvements in adjusted rates of mortality and most major morbidities did not differ by race/ethnicity, but rates of neurodevelopmental impairment increased in all groups. There were narrowing racial/ethnic disparities in important care practices, including the use of antenatal corticosteroids and cesarean delivery.

Composite neonatal morbidity indicators using hospital discharge data: A systematic review.

BACKGROUND: Neonatal morbidity is associated with lifelong impairments, but the absence of a consensual definition and the need for large data sets limit research. OBJECTIVES: To inform initiatives to define standard outcomes for research, we reviewed composite neonatal morbidity indicators derived from routine hospital discharge data. DATA SOURCES: PubMed (updated on October 12, 2018). The search algorithm was based on three components: "morbidity," "neonatal," and "hospital discharge data." STUDY SELECTION AND DATA EXTRACTION: Studies investigating neonatal morbidity using a composite indicator based on hospital discharge data were included. Indicators defined for specific conditions (eg congenital anomalies, maternal addictions) were excluded. The target population, objectives, component morbidities, diagnosis and procedure codes, validation methods, and prevalence of morbidity were extracted. SYNTHESIS: For each study, we assessed construct validity by describing the methods used to select the indicator components and evaluated whether the authors assessed internal and external validity. We also calculated confidence intervals for the prevalence of the morbidity composite. RESULTS: Seventeen studies fulfilled inclusion criteria. Indicators targeted all (n = 4), low-/moderate-risk (n = 9), and very preterm (VPT, n = 4) infants. Components were similar for VPT infants, but domains and diagnosis codes within domains varied widely for all and low-/moderate-risk infants. Component selection was described for 8/17 indicators and some form of validation reported for 12/17. Neonatal morbidity prevalence ranged from 4.6% to 9.0% of all infants, 0.4% to 8.0% of low-/moderate-risk infants, and 17.8% to 61.0% of VPT infants. CONCLUSIONS: Multiple neonatal morbidity indicators based on hospital discharge data have been used for research, but their heterogeneity limits comparisons between studies. Standard neonatal outcome measures are needed for benchmarking and synthesis of research results.

Preterm birth outcomes among Asian women by maternal place of birth.

OBJECTIVE: To investigate overall, spontaneous, and medically indicated preterm birth (PTB) rates between US-born and non-US-born Asian women living in California. STUDY DESIGN: Nulliparous women with a singleton livebirth and Asian race in California between 2007 and 2011 were investigated. The prevalence of overall (<37 weeks), spontaneous, and medically indicated PTB was examined by self-reported race and place of birth among ten Asian subgroups. RESULTS: There were marked differences in PTB rates between the individual Asian subgroups. After adjustments, non-US-born Chinese, Japanese, Vietnamese, and Indian women had lower odds of overall PTB and Chinese, Vietnamese, Cambodian, and Indian women had lower odds of spontaneous PTB compared with their US-born counterparts. CONCLUSION: Further investigation of biological and social factors contributing to these lower odds of spontaneous PTB among the non-US-born Asian population could potentially offer clues for reducing the burden of PTB among the US born.

Reduction in racial disparities in severe maternal morbidity from hemorrhage in a large-scale quality improvement collaborative.

BACKGROUND: Eliminating persistent racial/ethnic disparities in maternal mortality and morbidity is a public health priority. National strategies to improve maternal outcomes are increasingly focused on quality improvement collaboratives. However, the effectiveness of quality collaboratives for reducing racial disparities in maternity care is understudied. OBJECTIVE: To evaluate the impact of a hemorrhage quality-improvement collaborative on racial disparities in severe maternal morbidity from hemorrhage. STUDY DESIGN: We conducted a cross-sectional study from 2011 to 2016 among 99 hospitals that participated in a hemorrhage quality improvement collaborative in California. The focus of the quality collaborative was to implement the national maternal hemorrhage safety bundle consisting of 17 evidence-based recommendations for practice and care processes known to improve outcomes. This analysis included 54,311 women from the baseline period (January 2011 through December 2014) and 19,165 women from the postintervention period (October 2015 through December 2016) with a diagnosis of obstetric hemorrhage during delivery hospitalization. We examined whether racial/ethnic-specific severe maternal morbidity rates in these women with obstetric hemorrhage were reduced from the baseline to the postintervention period. In addition, we conducted Poisson Generalized Estimating Equation models to estimate relative risks and 95% confidence intervals for severe maternal morbidity comparing each racial/ethnic group with white. RESULTS: During the baseline period, the rate of severe maternal morbidity among women with hemorrhage was 22.1% (12,002/54,311) with the greatest rate observed among black women (28.6%, 973/3404), and the lowest among white women (19.8%, 3124/15,775). The overall rate fell to 18.5% (3553/19,165) in the postintervention period. Both black and white mothers benefited from the intervention, but the benefit among black women exceeded that of white women (9.0% vs 2.1% absolute rate reduction). The baseline risk of severe maternal morbidity was 1.34 times greater among black mothers compared with white mothers (relative risk, 1.34; 95% confidence interval, 1.27-1.42), and it was reduced to 1.22 (1.05-1.40) in the postintervention period. Sociodemographic and clinical factors explained a part of the black-white differences. After controlling for these factors, the black-white relative risk was 1.22 (95% confidence interval, 1.15-1.30) at baseline and narrowed to 1.07 (1.92-1.24) in the postintervention period. Results were similar when excluding severe maternal morbidity cases with transfusion alone. After accounting for maternal risk factors, the black-white relative risk for severe maternal morbidity excluding transfusion alone was reduced from a baseline of 1.33 (95% confidence interval, 1.16-1.52) to 0.99 (0.76-1.29) in the postintervention period. The most important clinical risk factor for disparate black rates for both severe maternal morbidity and severe maternal morbidity excluding transfusion alone was cesarean delivery, potentially providing another opportunity for quality improvement. CONCLUSION: A large-scale quality improvement collaborative reduced rates of severe maternal morbidity due to hemorrhage in all races and reduced the performance gap between black and white women. Improving access to highly effective treatments has the potential to decrease disparities for care-sensitive acute hospital-focused morbidities.

Neonatal transport in California: findings from a qualitative investigation.

OBJECTIVE: To identify characteristics of neonatal transport in California and which factors influence team performance. STUDY DESIGN: We led focus group discussions with 19 transport teams operating in California, interviewing 158 neonatal transport team members. Transcripts were analyzed using a thematic analysis approach. RESULT: The composition of transport teams varied widely. There was strong thematic resonance to suggest that the nature of emergent neonatal transports is unpredictable and poses several significant challenges including staffing, ambulance availability, and administrative support. Teams reported dealing with this unpredictability by engaging in teamwork, gathering experience with staff at referral hospitals, planning for a wide variety of circumstances, specialized training, debriefing after events, and implementing quality improvement strategies. CONCLUSION: Our findings suggest potential opportunities for improvement in neonatal transport. Future research can explore the cost and benefits of strategies such as dedicated transport services, transfer centers, and telemedicine.

Cytomegalovirus Infection among Infants in Neonatal Intensive Care Units, California, 2005 to 2016.

AIM: The main purpose of this article is to assess trends in cytomegalovirus (CMV) infection reported among infants in California neonatal intensive care units (NICUs) during 2005 to 2016. STUDY DESIGN: The California Perinatal Quality Care Collaborative collects data on all very low birth weight (VLBW, birth weight ≤ 1,500 g) and acutely ill infants > 1,500 g, representing 92% of NICUs in California. We compared clinical characteristics and length of hospital stay among infants with and without reported CMV infection (CMV-positive viral culture or polymerase chain reaction). RESULTS: During 2005 to 2016, CMV infection was reported in 174 VLBW infants and 145 infants > 1,500 g, or 2.7 (range: 1.5-4.7) and 1.2 (range: 0.8-1.7) per 1,000 infants, respectively (no significant annual trend). Among infants > 1,500 g, 12 (8%) versus 4,928 (4%) of those reported with versus without CMV infection died (p < 0.05). The median hospital stay was significantly longer among infants reported with versus without CMV infection for both VLBW infants (98 vs. 46 days) and infants > 1,500 g (61 vs. 14 days) (p < 0.001). CONCLUSION: Reports of CMV infection remained stable over a 12-year period. Although we were not able to assess whether infection was congenital or postnatal, CMV infection among infants > 1,500 g was associated with increased mortality.