Quality, outcome, and cost of care provided to very low birth weight infants in California.

OBJECTIVE: To examine association of costs with quality of care and patient outcome across hospitals in California. METHODS: Retrospective study of very low birth weight (VLBW) births from 2014-2018 linking birth certificate, hospital discharge records and clinical data. Quality was measured using the Baby-MONITOR score. Clinical outcome was measured using survival without major morbidity (SWMM). Hierarchical generalized linear models, adjusting for clinical factors, were used to estimate risk-adjusted measures of costs, quality, and outcome for each hospital. Association between these measures was evaluated using Pearson correlation coefficient. RESULTS: In total, 15,415 infants from 104 NICUs were included. Risk-adjusted Baby-MONITOR score, SWMM rate, and costs varied substantially. There was no correlation between risk-adjusted cost and Baby-MONITOR score (r = 0, p = 0.998). Correlation between risk-adjusted cost and SWMM rate was inverse and not significant (r = -0.07, p = 0.48). CONCLUSIONS: With the metrics used, we found no correlation between cost, quality, and outcomes in the care of VLBW infants.

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.

Disparity drivers, potential solutions, and the role of a health equity dashboard in the neonatal intensive care unit: a qualitative study.

OBJECTIVE: Racial/ethnic disparities are well-described in the neonatal intensive care unit (NICU). We explored expert opinion on their etiology, potential solutions, and the ability of health equity dashboards to meaningfully capture NICU disparities. STUDY DESIGN: We conducted 12 qualitative semi-structured interviews, purposively selecting a diverse group of neonatal experts. We used grounded theory to develop codes, shape interviews, and conduct analysis. RESULT: We identified three sources of disparity: interpersonal bias, care process and institutional barriers, and social determinants of health, particularly as they affect parental engagement in the NICU. Proposed solutions included racial/cultural concordance, bolstering hospital-based resources, and policy interventions. Health equity dashboards were viewed as useful but limited, because clinical metrics do not account for many of the aforementioned sources of disparities. CONCLUSION: Equity dashboards serve as a motivational starting point for quality improvement; future iterations may require novel, qualitative data sources to identify underlying etiologies of NICU disparities.

Disparities and Equity Dashboards in the Neonatal Intensive Care Unit: A Qualitative Study of Expert Perspectives.

Objective: Racial/ethnic disparities are well-described in the neonatal intensive care unit (NICU). We explore expert opinion on their root causes, potential solutions, and the ability of health equity dashboards to meaningfully address NICU disparities. Study Design: We conducted 12 qualitative semi-structured interviews, purposively selecting a diverse group of neonatal experts. We used grounded theory to develop codes, shape interviews, and conduct analysis. Result: Participants identified three sources of disparity: interpersonal bias, care process barriers, and social determinants of health, particularly as they affect parental engagement in the NICU. Proposed solutions included racial/cultural concordance, bolstering hospital-based resources, and policy interventions. Health equity dashboards were viewed as useful but limited because clinical metrics do not account for many of the aforementioned sources of disparities. Conclusion: Equity dashboards serve as a motivational starting point for quality improvement; future iterations may require novel, qualitative data sources to identify underlying etiologies of NICU disparities.

Association of Primary Language with Very Low Birth Weight Outcomes in Hispanic Infants in California.

OBJECTIVE: To determine the association of Spanish as a primary language for a family with the health outcomes of Hispanic infants with very low birth weight (VLBW, <1500g). STUDY DESIGN: Data from the California Perinatal Quality Care Collaborative (CPQCC) linked to hospital discharge records were analyzed. Hispanic infants with VLBW born between 2009 and 2018 with a primary language of English or Spanish were included. Outcomes selected were hypothesized to be sensitive to language barriers. Multivariable logistic regression models and mixed models estimated associations between language and outcomes. RESULTS: Of 18 364 infants meeting inclusion criteria, 27% (n = 4976) were born to families with Spanish as a primary language. In unadjusted analyses, compared with infants of primarily English-speaking families, these infants had higher odds of hospital readmission within 1 year (OR 1.11 [95% CI 1.02-1.21]), higher odds to receive human milk at discharge (OR 1.32 [95% CI 1.23-1.42]), and lower odds of discharge home with oxygen (OR 0.83 [95% CI 0.73-0.94]). In multivariable analyses, odds of readmission and home oxygen remained significant when adjusting for infant but not maternal and hospital characteristics. Higher odds for receipt of any human milk at discharge were significant in all models. Remaining outcomes did not differ between groups. CONCLUSIONS: Significant differences exist between Hispanic infants with VLBW of primarily Spanish-vs English-speaking families. Exploration of strategies to prevent readmissions of infants of families with Spanish as a primary language is warranted.

Racial and ethnic disparities in postnatal growth among very low birth weight infants in California.

OBJECTIVE: To identify racial/ethnic disparities in postnatal growth by year and gestational age among very low birth weight infants. STUDY DESIGN: Total 37,122 infants, with birth weight 500-1500 g or gestational age 23-34 weeks in the California Perinatal Quality Care Collaborative in 2008-2016. Postnatal growth failure (PGF) was defined as change in weight Z-score from birth to discharge below -1.28. Multivariable regression analysis with birth hospital as random effect was used to estimate odds ratios (OR). RESULTS: Infants born to Hispanic mothers had highest risk of PGF at 30%, compared to white (24%, OR 1.33), Black (22%, OR 1.50), or Asian/Pacific Islander mothers (23%, OR 1.38). PGF incidence decreased from 2008 (27.4%) to 2016 (22.8%) with differences in trends by race. Each increasing gestational age week was associated with decreasing risk for PGF (OR 0.73, 95% confidence interval 0.72-0.74). CONCLUSION: Targeted interventions addressing PGF are needed to address disparities.

Getting to health equity in NICU care in the USA and beyond.

Differences in race/ethnicity, gender, income and other social factors have long been associated with disparities in health, illness and premature death. Although the terms 'health differences' and 'health disparities' are often used interchangeably, health disparities has recently been reserved to describe worse health in socially disadvantaged populations, particularly members of disadvantaged racial/ethnic groups and the poor within a racial/ethnic group. Infants receiving disparate care based on race/ethnicity, immigration status, language proficiency, or social class may be discomforting to healthcare workers who dedicate their lives to care for these patients. Recent literature, however, has documented differences in neonatal intensive care unit (NICU) care quality that have contributed to racial and ethnic differences in mortality and significant morbidity. We examine the within-NICU and between-NICU mechanisms of disparate care and recommend approaches to address these disparities.

Risk factors and pregnancy outcomes vary among Asian American, Native Hawaiian, and Pacific Islander individuals giving birth in California.

OBJECTIVE: To compare frequencies of risk factors and pregnancy outcomes in ethnic groups versus the combined total of Asian American, Native Hawaiian, and Pacific Islander (AANHPI) populations. METHODS: Using linked birth and fetal death certificate and maternal hospital discharge data (California 2007-2018), we estimated frequencies of 15 clinical and sociodemographic exposures and 11 pregnancy outcomes. Variability across 15 AANHPI groups was compared using a heat map and compared to frequencies for the total group (n = 904,232). RESULTS: AANHPI groups varied significantly from each other and the combined total regarding indicators of social disadvantage (e.g., range for high school-level educational or less: 6.4% Korean-55.8% Samoan) and sociodemographic factors (e.g., maternal age <20 years: 0.2% Chinese-8.8% Guamanian) that are related to adverse pregnancy outcomes. Perinatal outcomes varied significantly (e.g., severe maternal morbidity: 1.2% Korean-1.9% Filipino). No single group consistently had risk factors or outcome prevalence at the extremes, i.e., no group was consistently better or worse off across examined factors. CONCLUSIONS: Substantial variability in perinatal risk factors and outcomes exists across AANHPI groups. Aggregation into "AANHPI" is not appropriate for outcome reporting.

Associations between maternal residential rurality and maternal health, access to care, and very low birthweight infant outcomes.

OBJECTIVE: Infant mortality is increased in isolated rural areas. This study compares prenatal factors, access to care, and health outcomes for very-low birthweight (VLBW) infants by degree of maternal residential rurality. METHODS: This descriptive population-based retrospective cohort study used the California Perinatal Quality Care Collaborative registry to study VLBW infants. Rurality was assigned as urban, large rural, and small rural/isolated using the Rural Urban Commuting Area codes. We used hierarchical random effect models to test the association of rurality with survival without major morbidity. RESULTS: The study included 38 614 dyads. VLBW survival without major morbidity decreased with increasing rurality and the relationship remained significant for small rural/isolated areas (OR 0.79, p = 0.03) after adjustment. Birth weight, gestational age, and infant sex were similar across geographic groups. CONCLUSION: A rural urban disparity exists for VLBW survival without major morbidity. Our findings generate hypotheses about factors that may be driving these disparities.

Disparities and Early Engagement Associated with the 18- to 36-Month High-Risk Infant Follow-Up Visit among Very Low Birthweight Infants in California.

OBJECTIVE: To determine follow-up rates for the high-risk infant follow-up (HRIF) visit at 18-36 months among infants with very low birthweights and identify factors associated with completion. STUDY DESIGN: We completed a retrospective cohort study using linked California Perinatal Quality of Care Collaborative neonatal intensive care unit, California Perinatal Quality of Care Collaborative California Children's Services HRIF, and Vital Statistics Birth Cohort databases. We identified maternal, sociodemographic, neonatal, clinical, and HRIF program level factors associated with the 18- to 36-month follow-up using multivariable Poisson regression. RESULTS: From 2010 to 2015, among 19 284 infants with very low birthweight expected to attend at least 1 visit at 18-36 months, 10 249 (53%) attended. On multivariable analysis, factors independently associated with attendance at an 18- to 36-month visit included estimated gestational age (relative risk [RR], 1.21; 95% CI, 1.15-1.26; <26 weeks vs ≥31 weeks), maternal education (RR, 1.09; 95% CI, 1.06-1.12; college degree or more vs high school), distance from clinic (RR, 0.92; 95% CI, 0.89-0.97; fourth quartile vs first quartile), and Black non-Hispanic race vs White race (RR, 0.88; 95% CI, 0.84-0.92). However, completion of an initial HRIF visit within the first 12 months was the factor most strongly associated with completion of an 18- to 36-month visit (RR, 6.47; 95% CI, 5.91-7.08). CONCLUSIONS: In a California very low birthweight cohort, maternal education, race, and distance from the clinic were associated with sustained HRIF participation, but attendance at a visit by 12 months was the most significantly associated factor. These findings highlight the importance of early engagement with all families to ensure equitable follow-through for children born preterm.

Quality of Care in US NICUs by Race and Ethnicity.

BACKGROUND: Summary measures are used to quantify a hospital's quality of care by combining multiple metrics into a single score. We used Baby-MONITOR, a summary quality measure for NICUs, to evaluate quality by race and ethnicity across and within NICUs in the United States. METHODS: Vermont Oxford Network members contributed data from 2015 to 2019 on infants from 25 to 29 weeks' gestation or of 401 to 1500 g birth weight who were inborn or transferred to the reporting hospital within 28 days of birth. Nine Baby-MONITOR measures were individually risk adjusted, standardized, equally weighted, and averaged to derive scores for African American, Hispanic, Asian American, and American Indian infants, compared with white infants. RESULTS: This prospective cohort included 169 400 infants at 737 hospitals. Across NICUs, Hispanic and Asian American infants had higher Baby-MONITOR summary scores, compared with those of white infants. African American and American Indian infants scored lower on process measures, and all 4 minority groups scored higher on outcome measures. Within NICUs, the mean summary scores for African American, Hispanic, and Asian American NICU subsets were higher, compared with those of white infants in the same NICU. American Indian summary NICU scores were not different, on average. CONCLUSIONS: With Baby-MONITOR, we identified differences in NICU quality by race and ethnicity. However, the summary score masked within-measure quality gaps that raise unanswered questions about the relationships between race and ethnicity and processes and outcomes of care.

Access to risk-appropriate hospital care and disparities in neonatal outcomes in racial/ethnic groups and rural-urban populations.

Variations in infant and neonatal mortality continue to persist in the United States and in other countries based on both socio-demographic characteristics, such as race and ethnicity, and geographic location. One potential driver of these differences is variations in access to risk-appropriate delivery care. The purpose of this article is to present the importance of delivery hospitals on neonatal outcomes, discuss variation in access to these hospitals for high-risk infants and their mothers, and to provide insight into drivers for differences in access to high-quality perinatal care using the available literature. This review also illustrates the lack of information on a number of topics that are crucial to the development of evidence-based interventions to improve access to appropriate delivery hospital services and thus optimize the outcomes of high-risk mothers and their newborns.

Unequal care: Racial/ethnic disparities in neonatal intensive care delivery.

Advances in neonatal intensive care have improved outcomes for preterm newborns, but significant racial/ethnic disparities persist. Neonatal disparities have their origin in a complex set of factors that include systemic racism and structural disadvantages endured by minority families, but differential quality of care in the neonatal intensive care unit (NICU) remains an important and modifiable source of disparity. NICU care has been shown to be segregated and unequal: Black and Hispanic infants are more likely to be cared for in lower quality NICUs and may receive worse care within a NICU. To eliminate disparities in care and outcomes, it is important to identify and address the mechanisms that lead to lower quality care for minority preterm infants. In this review, we identify improvements in both technical (clinical) and relational (engaging and supporting families) processes of care as critical to better outcomes for minority infants and families.

Birth hospital and racial and ethnic differences in severe maternal morbidity in the state of California.

BACKGROUND: Birth hospital has recently emerged as a potential key contributor to disparities in severe maternal morbidity, but investigations on its contribution to racial and ethnic differences remain limited. OBJECTIVE: We leveraged statewide data from California to examine whether birth hospital explained racial and ethnic differences in severe maternal morbidity. STUDY DESIGN: This cohort study used data on all births at ≥20 weeks gestation in California (2007-2012). Severe maternal morbidity during birth hospitalization was measured using the Centers for Disease Control and Prevention index of having at least 1 of the 21 diagnoses and procedures (eg, eclampsia, blood transfusion, hysterectomy). Mixed-effects logistic regression models (ie, women nested within hospitals) were used to compare racial and ethnic differences in severe maternal morbidity before and after adjustment for maternal sociodemographic and pregnancy-related factors, comorbidities, and hospital characteristics. We also estimated the risk-standardized severe maternal morbidity rates for each hospital (N=245) and the percentage reduction in severe maternal morbidity if each group of racially and ethnically minoritized women gave birth at the same distribution of hospitals as non-Hispanic white women. RESULTS: Of the 3,020,525 women who gave birth, 39,192 (1.3%) had severe maternal morbidity (2.1% Black; 1.3% US-born Hispanic; 1.3% foreign-born Hispanic; 1.3% Asian and Pacific Islander; 1.1% white; 1.6% American Indian and Alaska Native, and Mixed-race referred to as Other). Risk-standardized rates of severe maternal morbidity ranged from 0.3 to 4.0 per 100 births across hospitals. After adjusting for covariates, the odds of severe maternal morbidity were greater among nonwhite women than white women in a given hospital (Black: odds ratio, 1.25; 95% confidence interval, 1.19-1.31); US-born Hispanic: odds ratio, 1.25; 95% confidence interval, 1.20-1.29; foreign-born Hispanic: odds ratio, 1.17; 95% confidence interval, 1.11-1.24; Asian and Pacific Islander: odds ratio, 1.26; 95% confidence interval, 1.21-1.32; Other: odds ratio, 1.31; 95% confidence interval, 1.15-1.50). Among the studied hospital factors, only teaching status was associated with severe maternal morbidity in fully adjusted models. Although 33% of white women delivered in hospitals with the highest tertile of severe maternal morbidity rates compared with 53% of Black women, birth hospital only accounted for 7.8% of the differences in severe maternal morbidity comparing Black and white women and accounted for 16.1% to 24.2% of the differences for all other racial and ethnic groups. CONCLUSION: In California, excess odds of severe maternal morbidity among racially and ethnically minoritized women were not fully explained by birth hospital. Structural causes of racial and ethnic disparities in severe maternal morbidity may vary by region, which warrants further examination to inform effective policies.

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.

Racial/ethnic disparities and human milk use in necrotizing enterocolitis.

BACKGROUND: The impact of human milk use on racial/ethnic disparities in necrotizing enterocolitis (NEC) incidence is unknown. METHODS: Trends in NEC incidence and human milk use at discharge were evaluated by race/ethnicity among 47,112 very low birth weight infants born in California from 2008 to 2017. We interrogated the association between race/ethnicity and NEC using multilevel regression analysis, and evaluated the effect of human milk use at discharge on the relationship between race/ethnicity and NEC using mediation analysis. RESULTS: Annual NEC incidence declined across all racial/ethnic groups from an aggregate average of 4.8% in 2008 to 2.6% in 2017. Human milk use at discharge increased over the time period across all racial groups, and non-Hispanic (NH) black infants received the least human milk each year. In multivariable analyses, Hispanic ethnicity (odds ratio (OR) 1.27, 95% confidence interval (CI) 1.02-1.57) and Asian or Pacific Islander race (OR 1.35, 95% CI 1.01-1.80) were each associated with higher odds of NEC, while the association of NH black race with NEC was attenuated after adding human milk use at discharge to the model. Mediation analysis revealed that human milk use at discharge accounted for 22% of the total risk of NEC in non-white vs. white infants, and 44% in black vs. white infants. CONCLUSIONS: Although NEC incidence has declined substantially over the past decade, a sizable racial/ethnic disparity persists. Quality improvement initiatives augmenting human milk use may further reduce the incidence of NEC in vulnerable populations.

The risk of small for gestational age in very low birth weight infants born to Asian or Pacific Islander mothers in California.

OBJECTIVE: To evaluate potential differences and to show the risk associated with small for gestational age (SGA) at birth and discharge among infants born to mothers of various Asian/Pacific islander (PI) races. STUDY DESIGN: In this retrospective cohort study, infants with weight <1500 g or 23-28 weeks gestation, born in California during 2008-2012 were included. Logistic regression models were used. RESULTS: Asian and PI infants in ten groups had significant differences in growth parameters, socioeconomic factors, and some morbidities. Overall incidences of SGA at birth and discharge were 21% and 50%, respectively; Indian race had the highest numbers (29%, 63%). Infants of parents with the same race were at increased risk of SGA at birth and discharge compared with mixed race parents. CONCLUSION: Specific Asian race should be considered when evaluating preterm growth. Careful consideration for the appropriateness of grouping Asian/PI races together in perinatal studies is warranted.