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

Caregiver and Provider Perceptions of Health Disparities in the NICU: A Qualitative Study

OBJECTIVES

To describe the experience of caregivers and their perceptions of disparate care in the NICU, and (2) explore inter-professional NICU provider perspectives on potential biases and perceptions of disparate care.

METHODS

This qualitative study was conducted in one southeastern level IV NICU. Semi-structured interviews assessed caregiver and provider perspectives on NICU care. Purposive sampling ensured ≥50% of caregivers self-identified as racial and/or ethnic minorities. Interviews were recorded, transcribed verbatim, and audio verified. A coding scheme was developed, raw data were systematically coded, and emerging themes were identified using thematic analyses.

RESULTS

23 caregivers and 14 providers were interviewed, including 5 neonatologists, 6 nurses, and 3 residents. Caregivers were predominantly English-speaking (85%); 96% were mothers with a mean age of 32 years. Neonates were predominantly racial and ethnic minorities (62%). Providers were predominantly White (71%) and female (71%). Five themes emerged: (1) ineffective, biased communication between caregivers, providers, and healthcare team may contribute to disparities (2) language barriers and lack of interpreter access play a significant role in perceived negative care; (3) lack of caregiver involvement and role in decision-making may negatively influence NICU outcomes, especially for those not able to be present at the bedside; and (4) multiple biases may affect neonatal health disparities.

CONCLUSION

Our study highlights the importance of considering both provider and racial and/or ethnic minority caregiver perceptions disparities in NICU care delivery. It adds to the literature as one of the few qualitative studies comparing perceptions of disparate NICU care among both caregivers and providers.

Racial, ethnic, and socio-economic disparities in neonatal ICU admissions among neonates born with cyanotic CHD in the United States, 2009-2018

INTRODUCTION

Disparities in CHD outcomes exist across the lifespan. However, less is known about disparities for patients with CHD admitted to neonatal ICU. We sought to identify sociodemographic disparities in neonatal ICU admissions among neonates born with cyanotic CHD.

MATERIALS & METHODS

Annual natality files from the US National Center for Health Statistics for years 2009-2018 were obtained. For each neonate, we identified sex, birthweight, pre-term birth, presence of cyanotic CHD, and neonatal ICU admission at time of birth, as well as maternal age, race, ethnicity, comorbidities/risk factors, trimester at start of prenatal care, educational attainment, and two measures of socio-economic status (Special Supplemental Nutrition Program for Women, Infants, and Children [WIC] status and insurance type). Multivariable logistic regression models were fit to determine the association of maternal socio-economic status with neonatal ICU admission. A covariate for race/ethnicity was then added to each model to determine if race/ethnicity attenuate the relationship between socio-economic status and neonatal ICU admission.

RESULTS

Of 22,373 neonates born with cyanotic CHD, 77.2% had a neonatal ICU admission. Receipt of WIC benefits was associated with higher odds of neonatal ICU admission (adjusted odds ratio [aOR] 1.20, 95% CI 1.1-1.29, p < 0.01). Neonates born to non-Hispanic Black mothers had increased odds of neonatal ICU admission (aOR 1.20, 95% CI 1.07-1.35, p < 0.01), whereas neonates born to Hispanic mothers were at lower odds of neonatal ICU admission (aOR 0.84, 95% CI 0.76-0.93, p < 0.01).

CONCLUSION

Maternal Black race and low socio-economic status are associated with increased risk of neonatal ICU admission for neonates born with cyanotic CHD. Further work is needed to identify the underlying causes of these disparities.

Considering the Influence of Social Determinants of Health on Parent Feeding Practices: A Case Example

BACKGROUND

Social determinants of health (SDOH) are the nonmedical factors that influence health outcomes. SDOH can be grouped into 5 domains: economic stability, education access and quality, healthcare access and quality, neighborhood and built environment, and social and community context. SDOH impact people's health and quality of life but may also contribute to disparities in access to food, education, and healthcare. SDOH uniquely influence parent feeding practices in the neonatal intensive care unit (NICU) in a variety of ways, ranging from logistical considerations for parent visitation to cultural beliefs such as family perception of human milk feeding.

EVIDENCE ACQUISITION

A hypothetical case example of a preterm infant with a feeding disorder in the NICU is used to connect SDOH that influence prenatal health, parental lived experience, and postnatal medical care to maternal and infant outcomes with implications for feeding practices. Barriers and facilitators to successful feeding practices in the NICU and at discharge are considered for each SDOH domain.

RESULTS

This case example increases awareness of SDOH and how they influence parent feeding practices in the NICU, focusing on the intersection of SDOH, parent stress, and oral feeding outcomes. Examples were provided for how to support applying findings into practice.

IMPLICATIONS FOR PRACTICE AND RESEARCH

By being creating a culture of SDOH awareness, NICU staff can assist families in overcoming barriers by putting supports in place to increase equitable participation in developmentally supportive feeding practices during the NICU stay.

The Effects of Health Disparities on Neonatal Outcomes

The history of racism in the United States was established with slavery, and the carry-over effect continues to impact health care through structural and institutional racism. Racial segregation and redlining have impacted access to quality health care, thereby impacting prematurity and infant mortality rates. Health disparities also impact neonatal morbidities such as intraventricular hemorrhage and necrotizing enterocolitis and the family care experience including the establishment of breastfeeding and health care provider interactions.

Addressing Health-Related Social Needs and Mental Health Needs in the Neonatal Intensive Care Unit: Exploring Challenges and the Potential of Technology

Unaddressed health-related social needs (HRSNs) and parental mental health needs in an infant's environment can negatively affect their health outcomes. This study examines the challenges and potential technological solutions for addressing these needs in the neonatal intensive care unit (NICU) setting and beyond. In all, 22 semistructured interviews were conducted with members of the NICU care team and other relevant stakeholders, based on an interpretive description approach. The participants were selected from three safety net hospitals in the U.S. with level IV NICUs. The challenges identified include navigating the multitude of burdens families in the NICU experience, resource constraints within and beyond the health system, a lack of streamlined or consistent processes, no closed-loop referrals to track status and outcomes, and gaps in support postdischarge. Opportunities for leveraging technology to facilitate screening and referral include automating screening, initiating risk-based referrals, using remote check-ins, facilitating resource navigation, tracking referrals, and providing language support. However, technological implementations should avoid perpetuating disparities and consider potential privacy or data-sharing concerns. Although advances in technological health tools alone cannot address all the challenges, they have the potential to offer dynamic tools to support the healthcare setting in identifying and addressing the unique needs and circumstances of each family in the NICU.

Association Between Prenatal Diagnosis and Age at Surgery for Noncritical and Critical Congenital Heart Defects

BACKGROUND

The relationship between the prenatal diagnosis of congenital heart defects (CHDs) and age at CHD surgery is poorly understood, despite the known relationships between age at surgery and long-term outcomes. The objective of this study was to determine the associations between prenatal diagnosis of CHD and age at surgery, and whether these associations differ for critical and noncritical CHDs.

METHODS

This is a cohort analysis of patients aged 0 to 9 years who received their initial cardiac surgery at Ann & Robert H. Lurie Children's Hospital of Chicago between 2015 and 2021 with prenatal diagnosis as the exposure variable. All data were obtained from the locally maintained Society of Thoracic Surgeons Congenital Heart Surgery Database at Lurie Children's Hospital. We used multivariable fixed effects regression models to estimate the strength of the association of prenatal diagnosis with age at surgery among patients with critical (surgery ≤60 days) and noncritical (surgery >60 days) CHDs.

RESULTS

Of 1131 individuals who met inclusion criteria, 532 (47%) had a prenatal diagnosis, 428 (38%) had critical CHDs, 533 (47%) were female, and the median age at surgery was 119 days (interquartile range, 11-309 days). After controlling for demographics, comorbidities, and surgical complexity, the mean age at surgery was significantly younger in those with prenatally versus postnatally diagnosed critical CHD (7.1 days sooner, P<0.001) and noncritical CHDs (atrial septal defects [12.4 months sooner, P=0.037], ventricular septal defects [6.0 months sooner, P<0.003], and noncritical coarctation of the aorta [1.8 months sooner, P=0.010]).

CONCLUSIONS

Younger age at CHD surgery, which is associated with postsurgical neurodevelopmental and physical outcomes, is significantly associated with prenatal CHD diagnosis. This relationship was identified for both critical and noncritical CHDs.

Disparities in Neonatal Mortalities in the United States

OBJECTIVE

We aimed to look for the mortality of Black and White Neonates and compare the Black and White neonates' mortalities after stratifying the population by many significant epidemiologic and hospital factors.

DESIGN/METHOD

We utilized the National Inpatient Sample (NIS) dataset over seven years from 2012 through 2018 for all neonates ≤ 28 days of age in all hospitals in the USA. Neonatal characteristics used in the analysis included ethnicity, sex, household income, and type of healthcare insurance. Hospital characteristics were urban teaching, urban non-teaching, and rural. Hospital location was classified according to the nine U.S. Census Division regions.

RESULTS

Neonatal mortality continues to be higher in Black populations: 21,975 (0.63%) than in White populations: 35,495 (0.28%). Government-supported health insurance was significantly more among Black populations when compared to White (68.8% vs. 35.3% p < 0.001). Household income differed significantly; almost half (49.8%) of the Black population has income ≤ 25th percentile vs. 22.1% in White. There was a significant variation in mortality in different U.S.

LOCATIONS

In the Black population, the highest mortality was in the West North Central division (0.72%), and the lower mortality was in the New England division (0.51%), whereas in the White population, the highest mortality was in the East South-Central division (0.36%), and the lowest mortality was in the New England division (0.21%). Trend analysis showed a significant decrease in mortality in Black and White populations over the years, but when stratifying the population by sex, type of insurance, household income, and type of hospital, the mortality was consistently higher in Black groups throughout the study years.

CONCLUSIONS

Disparities in neonatal mortality continue to be higher in Black populations; there was a significant variation in mortality in different U.S.

LOCATIONS

In the Black population, the highest mortality was in the West North Central division, and the lower mortality was in the New England division, whereas in the White population, the highest mortality was in the East South Central division, and the lowest mortality was in the New England division. There has been a significant decrease in mortality in Black and White populations over the years, but when stratifying the population by many significant epidemiologic and hospital factors, the mortality was consistently higher in Black groups throughout the study years.

Understanding Facilitators and Barriers to Providing Equity-Oriented Care in the NICU

The current study examined the use of immersive technology as a way to improve access to high-quality interpersonal breastfeeding interactions in an undergraduate clinical lactation course. In particular, we investigated the impact of immersive consultation videos and related activities on student self-efficacy, motivational beliefs, and perceived skill level. Results indicate that usability was high, with participants rating videos, interactives, and activities positively. Although no significant improvements in their level of interest or perceived skill were found, students did report a significant increase in self-efficacy and their perceived ability to meet the course learning objectives. Our results demonstrate that high-quality immersive videos can be an important learning tool for teaching clinical skills when access to direct patient care is limited or absent.

Operationalizing risk-appropriate perinatal care in a rural US State: directions for policy and practice

BACKGROUND

Risk-appropriate care improves outcomes by ensuring birthing people and infants receive care at a facility prepared to meet their needs. Perinatal regionalization has particular importance in rural areas where pregnant people might not live in a community with a birthing facility or specialty care. Limited research focuses on operationalizing risk-appropriate care in rural and remote settings. Through the implementation of the Centers for Disease Control and Prevention (CDC) Levels of Care Assessment Tool (LOCATe), this study assessed the system of risk-appropriate perinatal care in Montana.

METHODS

Primary data was collected from Montana birthing facilities that participated in the CDC LOCATe version 9.2 (collected July 2021 - October 2021). Secondary data included 2021 Montana birth records. All birthing facilities in Montana received an invitation to complete LOCATe. LOCATe collects information on facility staffing, service delivery, drills, and facility-level statistics. We added additional questions on transport.

RESULTS

Nearly all (96%) birthing facilities in Montana completed LOCATe (N = 25). The CDC applied its LOCATe algorithm to assign each facility with a level of care that aligns directly with guidelines published by the American Academy of Pediatrics (AAP) and the American College of Obstetricians and Gynecologists (ACOG), and Society for Maternal-Fetal Medicine (SMFM). LOCATe-assessed levels for neonatal care ranged from Level I to Level III. Most (68%) facilities LOCATe-assessed at Level I or lower for maternal care. Close to half (40%) self-reported a higher-level of maternal care than their LOCATe-assessed level, indicating that many facilities believe they have greater capacity than outlined in their LOCATe-assessed level. The most common ACOG/SMFM requirements contributing to the maternal care discrepancies were the lack of obstetric ultrasound services and a physician anesthesiologist.

CONCLUSIONS

The Montana LOCATe results can drive broader conversations on the staffing and service requirements necessary to provide high-quality obstetric care in low-volume rural hospitals. Montana hospitals often rely on Certified Registered Nurse Anesthetists (CRNA) for anesthesia services and telemedicine to access specialty providers. Integrating a rural health perspective into the national guidelines could enhance the utility of LOCATe to support state strategies to improve the provision of risk-appropriate care.

Obstetric Volume and Severe Maternal Morbidity Among Low-Risk and Higher-Risk Patients Giving Birth at Rural and Urban US Hospitals

Importance

Identifying hospital factors associated with severe maternal morbidity (SMM) is essential to clinical and policy efforts.

Objective

To assess associations between obstetric volume and SMM in rural and urban hospitals and examine whether these associations differ for low-risk and higher-risk patients.

Design, Setting, and Participants

This retrospective cross-sectional study of linked vital statistics and patient discharge data was conducted from 2022 to 2023. Live births and stillbirths (≥20 weeks' gestation) at hospitals in California (2004-2018), Michigan (2004-2020), Pennsylvania (2004-2014), and South Carolina (2004-2020) were included. Data were analyzed from December 2022 to May 2023.

Exposures

Annual birth volume categories (low, medium, medium-high, and high) for hospitals in urban (10-500, 501-1000, 1001-2000, and >2000) and rural (10-110, 111-240, 241-460, and >460) counties.

Main Outcome and Measures

The main outcome was SMM (excluding blood transfusion); covariates included age, payer status, educational attainment, race and ethnicity, and obstetric comorbidities. Analyses were stratified for low-risk and higher-risk obstetric patients based on presence of at least 1 clinical comorbidity.

Results

Among more than 11 million urban births and 519 953 rural births, rates of SMM ranged from 0.73% to 0.50% across urban hospital volume categories (high to low) and from 0.47% to 0.70% across rural hospital volume categories (high to low). Risk of SMM was elevated for patients who gave birth at rural hospitals with annual birth volume of 10 to 110 (adjusted risk ratio [ARR], 1.65; 95% CI, 1.14-2.39), 111 to 240 (ARR, 1.37; 95% CI, 1.10-1.70), and 241 to 460 (ARR, 1.26; 95% CI, 1.05-1.51), compared with rural hospitals with greater than 460 births. Increased risk of SMM occurred for low-risk and higher-risk obstetric patients who delivered at rural hospitals with lower birth volumes, with low-risk rural patients having notable discrepancies in SMM risk between low (ARR, 2.32; 95% CI, 1.32-4.07), medium (ARR, 1.66; 95% CI, 1.20-2.28), and medium-high (ARR, 1.68; 95% CI, 1.29-2.18) volume hospitals compared with high volume (>460 births) rural hospitals. Among hospitals in urban counties, there was no significant association between birth volume and SMM for low-risk or higher-risk obstetric patients.

Conclusions and Relevance

In this cross-sectional study of births in US rural and urban counties, risk of SMM was elevated for low-risk and higher-risk obstetric patients who gave birth in lower-volume hospitals in rural counties, compared with similar patients who gave birth at rural hospitals with greater than 460 annual births. These findings imply a need for tailored quality improvement strategies for lower volume hospitals in rural communities.

NICUs in the US: levels of acuity, number of beds, and relationships to population factors

OBJECTIVE

To 1) define the number and characteristics of NICUs in the United States (US) and 2) identify hospital and population characteristics related to US NICUs.

STUDY DESIGN

Cohort study of US NICUs.

RESULTS

There were 1424 NICUs identified in the US. Higher number of NICU beds was positively associated with higher NICU level (p < 0.0001). Higher acuity level and number of NICU beds related to being in a children's hospital (p < 0.0001;p < 0.0001), part of an academic center (p = 0.006;p = 0.001), and in a state with Certificate of Need legislation (p = 0.023;p = 0.046). Higher acuity level related to higher population density (p < 0.0001), and higher number of beds related to increasing proportions of minorities in the population up until 50% minorities. There was also significant variation in NICU level by region.

CONCLUSIONS

This study contributes new knowledge by describing an updated registry of NICUs in the US in 2021 that can be used for comparisons and benchmarking.

American Indians travel great distances for obstetrical care: Examining rural and racial disparities

Rural, American Indian/Alaska Native (AI/AN) people, a population at elevated risk for complex pregnancies, have limited access to risk-appropriate obstetric care. Obstetrical bypassing, seeking care at a non-local obstetric unit, is an important feature of perinatal regionalization that can alleviate some challenges faced by this rural population, at the cost of increased travel to give birth. Data from five years (2014-2018) of birth certificates from Montana, along with the 2018 annual survey of the American Hospital Association (AHA) were used in logistic regression models to identify predictors of bypassing, with ordinary least squares regression models used to predict factors associated with the distance (in miles) birthing people drove beyond their local obstetric unit to give birth. Logit analyses focused on hospital-based births to Montana residents delivered during this time period (n = 54,146 births). Distance analyses focused on births to individuals who bypassed their local obstetric unit to deliver (n = 5,991 births). Individual-level predictors included maternal sociodemographic characteristics, location, perinatal health characteristics, and health care utilization. Facility-related measures included level of obstetric care of the closest and delivery hospitals, and distance to the closest hospital-based obstetric unit. Findings suggest that birthing people living in rural areas and on American Indian reservations were more likely to bypass to give birth, with bypassing likelihood depending on health risk, insurance, and rurality. AI/AN and reservation-dwelling birthing people traveled significantly farther when bypassing. Findings highlight that distance traveled was even farther for AI/AN people facing pregnancy health risks (23.8 miles farther than White people with pregnancy risks) or when delivering at facilities offering complex care (14-44 miles farther than White people). While bypassing may connect rural birthing people to more risk-appropriate care, rural and racial inequities in access persist, with rural, reservation-dwelling AI/AN birthing people experiencing greater likelihood of bypassing and traveling greater distances when bypassing.

Rural Maternal Health Care Outcomes, Drivers, and Patient Perspectives

Rural communities are a vital segment of the US population; however, these communities are shrinking, and their population is aging. Rural women experience health disparities including increased risk of maternal morbidity and mortality. In this article, we will explore these trends and their determinants both within and external to the health care system. Health care providers, public health professionals, and policymakers should be aware of these social and structural factors that influence health outcomes and take action to reduce generational cycles of health disparity. Opportunities to improve the health and pregnancy outcomes for rural women and rural populations are highlighted.

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.

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.