Race, language, and neighborhood predict high-risk preterm Infant Follow Up Program participation.

OBJECTIVES: Infant Follow Up Programs (IFUPs) provide developmental surveillance for preterm infants after hospital discharge but participation is variable. We hypothesized that infants born to Black mothers, non-English speaking mothers, and mothers who live in "Very Low" Child Opportunity Index (COI) neighborhoods would have decreased odds of IFUP participation. STUDY
DESIGN: There were 477 infants eligible for IFUP between 1/1/2015 and 6/6/2017 from a single large academic Level III NICU. Primary outcome was at least one visit to IFUP. We used multivariable logistic regression to identify factors associated with IFUP participation. RESULT: Two hundred infants (41.9%) participated in IFUP. Odds of participation was lower for Black compared to white race (aOR 0.43, p = 0.03), "Very Low" COI compared to "Very High" (aOR 0.39, p = 0.02) and primary non-English speaking (aOR 0.29, p = 0.01).
CONCLUSION: We identified disparities in IFUP participation. Further study is needed to understand underlying mechanisms to develop targeted interventions for reducing inequities.

Introduction

Racial and ethnic disparities in access to medical care, treatments, and outcomes are a pervasive phenomenon in the U.S. healthcare system. Among neonates, there are significant disparities in infant mortality and neonatal morbidity. The Black infant mortality rate is more than double the white infant mortality rate in the United States and the disparity has been widening over the past decade.[1] Among neonates admitted to the neonatal intensive care unit (NICU), infants born to Black mothers experience poorer quality treatment and have increased rates of NICU associated morbidity and mortality compared to infants born to white mothers.[2-4] Even within a single NICU, observed variations in treatment and care between white and Black patients may be drivers of ongoing disparities in health and developmental outcomes.[5]

Newborns admitted to the NICU are at an increased risk of requiring specialized medical and developmental supports and have increased healthcare utilization after discharge. Newborns discharged from the NICU have a three to four-fold increased risk of hospitalization in the first year of life compared to term infants.[6] Preterm infants, especially those born less than 28 weeks’ gestation, are at an increased risk of having an abnormal neurologic exam and cognitive, neurosensory, and motor impairments.[6-8] Prematurity confers an increased risk for chronic health conditions such as bronchopulmonary dysplasia (BPD), cardiometabolic diseases, and disordered growth.[6,9] Importantly, these problems are often not evident at the time of NICU discharge.

Recognizing these increased risks and specialized needs after discharge, the American Academy of Pediatrics (AAP) Committee on Fetus and Newborn recommends that all high-risk infants be referred to Infant Follow Up Programs (IFUPs) after discharge.[10] While the composition of IFUPs vary among centers, all provide specialized periodic assessment, diagnosis, and support for medical, neurodevelopmental, and functional impairments.[9,11] This specialized follow up is meant to be complementary to, and integrated with, routine child health care maintenance examinations provided by primary care pediatricians, using a multidisciplinary approach focused on the medical and developmental concerns unique to this patient population.

IFUPs are designed to increase screening and referral to neurodevelopmental programs, such as Early Intervention, which are associated with improved IQ, school readiness, functional skills,[12] and social development.[13,14] Studies have found that infants who do not participate, have inconsistent participation in IFUPs, or are lost to follow up tend to have poorer sensorineural, sensorimotor, and cognitive outcomes compared to those with more consistent participation.[15,16]

Despite the importance of IFUPs, only approximately 50% of eligible infants participate.[9,17] To better understand the low participation rates, studies have examined both social and biologic factors that may contribute to variable participation in infant follow-up. Studies focusing on biologic infant factors have identified that younger gestational age and lower birthweight, increase likelihood of IFUP participation.[9,17-19] Studies focusing on social factors have found that living in primary English language speaking families,[9] two-parent homes,[9,15,20] having private insurance,[18,21] and increased maternal age[18,19,22] are associated with increased rates of follow up while increased distance from the hospital,[18,21,22] maternal stress, and substance abuse are associated with lower rates of appropriate follow up.[22] Finally, some studies have also identified racial and ethnic disparities in referral and participation. [9,17-19] However, studies have been limited by small sample sizes, difficult to study populations, and inconsistent findings across studies. For example, while Hintz et. al. found that infants with co-morbidities had increased odds of IFUP participation, Nehra et. al. did not.[18,22]

The community and environment in which a child lives is of paramount importance to their health. This has been demonstrated through multiple studies that have found that exposure to environmental adversity impacts both health outcomes as well as health service utilization.[23,24] While studies have examined the role of distance from the hospital[18,21] and zip-code[19] in successful IFUP participation, no studies have examined neighborhood characteristics beyond simple geography to understand health services utilization in this population.

The Child Opportunity Index (COI) is a multidimensional index of “neighborhood-based conditions and resources conducive to healthy child development.”[25] The COI has previously been examined as a source of variation in pediatric health, healthcare utilization, and hospitalization but has never to our knowledge been investigated in relation to health services utilization among preterm infants after NICU discharge.[24,26,27] Though the exact mechanism by which this operates it not fully understood, it is likely that the COI measures community-level barriers – or facilitators – to care, including social norms and attitudes about health systems, reliable access to transportation, and employment practices that enable parents to take off work to attend doctor’s visits.

Because of widespread segregation in the United States, an individual’s race or ethnicity and the neighborhood where they live are inextricably linked to each other.[28] While race and ethnicity are non-modifiable risk factors, neighborhoods can be modified through community interventions. Thus, we determined that examining the role of neighborhood could aid in identifying modifiable targets for interventions to improve IFUP participation.

As part of a quality improvement initiative in a single large academic Level III NICU, we examined the role of race and ethnicity, neighborhood opportunity, and other maternal, and infant factors on IFUP participation with the intent of identifying potential strategies to improve family engagement and ensure follow-through for high-risk infants after NICU discharge. We utilized social epidemiology and a social-ecological framework to inform our hypothesis that infants born to Black mothers, non-English speaking mothers, and mother who live in “Very Low” Child Opportunity Index (COI) neighborhoods would have decreased odds of IFUP participation.

Methods

Study Design

Our retrospective cohort study was part of a quality improvement initiative in a single large urban academic Level III NICU located in the second largest birth hospital in Massachusetts. This study was designed to identify targets for quality improvement interventions to improve eligible infant referral and participation in a local IFUP. Eligible infants were defined as having gestational age less than 32 weeks or birthweights less than 1 500 grams. We included all 477 infants discharged between 1/1/2015–6/6/2019 eligible for participation in the IFUP. As this study was part of a quality improvement initiative, the Institutional Review Board (IRB) determined this study was not human subjects research and did not require IRB approval.

Study Setting

In our NICU, parents are informed of the IFUP by their team of providers including neonatal nurse practitioners, physicians, and nurses. At the time of the study, written materials were available to families regarding our IFUP. The IFUP coordinator was not involved with the patient during the NICU admission. Referral is made for infants born at gestational age less than 32 weeks or with birthweight less than 1 500 grams. Appointments are scheduled prior to discharge home from either our level III NICU or our affiliated level II special care nurseries for those infants transferred before discharge. Scheduled appointments are noted in the discharge summary. The first appointment is generally made two to four months after discharge. Our IFUP has in-person visits weekly on Mondays. No virtual visits or home-visits were offered during the study period as this was not standard of care at the time. Parking reimbursement is provided to offset transportation costs, but no other transportation assistance is otherwise provided. Visits are scheduled with an interpreter as needed for families identifying that English is not their primary language. At the end of the visit, families receive in person feedback and a brief summary of the report as well as additional developmental resources. Following the visit, reports are sent to the infant’s primary care provider.

Variables

The primary outcome was defined as at least one visit to IFUP, as we were primarily interested in uptake of IFUP services. Furthermore, frequency of IFUP is determined by a combination of medical risks and determined needs, thus we limited our investigation to at least one visit to IFUP. The primary predictor variables were race/ethnicity, defined as maternal self-identified race or ethnicity (categorical) and the Child Opportunity Index. The COI, is a publicly available census-tract level composite score derived from 19-neigborhood level indicators, in three domains: 1) Education, 2) Health and Environment, and 3) Social and Economic opportunity. (Supplementary Table 1) We utilized the composite COI that divides overall opportunity into quintiles (“Very High,” “High,” Moderate,” “Low,” and “Very Low”). The composite COI is an average of the three domain scores. Each domain score is derived relative to the indicators for other census tracts in the region through the use of Z-scores to allow for comparison of census tracts to regional averages.[25]

Additional predictor variables included infant factors, maternal social factors, and household social factors. Infant factors included continuous completed weeks and days of gestation, continuous birthweight (grams), dichotomous presence or absence of NICU co-morbidity, defined as BPD (need for respiratory support at 36 weeks) or any grade intraventricular hemorrhage (IVH), dichotomous need for durable medical equipment (DME) defined as discharge with gastrostomy tube (Gtube) or home oxygen use, dichotomous out-born versus in-born status, and dichotomous discharge disposition (discharge home versus transfer to another facility). Maternal social factors included dichotomous primary English language speaking, and dichotomous maternal partner status. Household social factors included continuous Euclidian distance from the IFUP clinic and COI. Distances were calculated using Esri ArcGIS (Redlands, California).

Statistical Analysis

We performed bivariate analysis using Student’s t-test for continuous variables and Fisher’s Exact Test for categorical variables between all variables and the primary outcome. To determine the independent factors associated with IFUP participation, we used multivariable logistic regression using forward selection. We derived the list of candidate variables from bivariate analysis with threshold for inclusion of p<0.10. We then performed step-wise forward selection using p<0.05 as threshold for inclusion. We performed step-wise inclusion of all excluded candidate covariables to assess for confounding and collinearity. Confounding was defined by a change in predictor beta coefficient of 10%. All confounders with p-value<0.05 were included in the final model. We included an interaction to assess our a priori conceptualization that NICU comorbidities act as effect modifiers of the relationship between race/ethnicity and IFUP visit in a separate model. All statistical analyses were performed using SAS software version 9.4 (SAS Institute Inc., Cary, NC, USA). Code is available upon request.

Results

There were 477 infants eligible for IFUP participation during the study period (Table 1). The average gestational age was 29 weeks and 4 days (standard deviation (SD) 2 weeks and 4 days) with an average birthweight of 1 248.6 grams (SD 379 grams). There were 257 male infants and 220 female infants. One hundred fifty-two infants were transferred to another facility prior to discharge and 325 infants were discharged home. One hundred forty-one infants had a NICU co-morbidity and 89 infants required DME at the time of discharge.

Table 1.

Cohort demographics

Maternal characteristics	N=477	%
Maternal marital status
Single	129	32.4
Partnered	269	67.6
Primary Language
English	422	91.5
Other	39	8.5
Race
Non-Hispanic/Latino white	196	41.1
Non-Hispanic/Latino Black	66	13.8
Asian	33	6.9
Non-white Hispanic/Latino	21	4.4
Other/Unknown	161	33.8
Infant characteristics
Mean gestational age mean (SD)	29w4d	(2w4d)
Mean birthweight in grams (SD)	1 248.6g	(379g)
Sex	N	%
Male	257	53.9
Female	220	46.1
Out-born	16	3.35
Discharge disposition
Transfer	152	31.9
Home	325	68.1
Chronic medical condition (IVH or BPD)	141	29.6
IVH	97	20.3
BPD	64	13.4
Need for DME (home O2 or Gtube)	89	18.7
Home O2	85	17.8
Gtube	13	2.7
Mean distance from hospital kms (SD)	22.7	20.7
Child Opportunity Index
Very low=1	82	17
Low=2	84	17.4
Moderate=3	109	22.6
High=4	108	22.4
Very high=5	79	15.5
Seen in follow up	200	41.9

Racial and ethnic composition was as follows: 196 mothers identified as non-Hispanic white, 66 as non-Hispanic Black, 33 as Asian, and 21 as Hispanic or Latina. One hundred sixty-one mothers identified as either other (82) or their race was unknown (79). Four hundred twenty-two mothers identified English as their primary language. Of the 398 mothers who had marital status documented, 129 were single and 269 were partnered. Average Euclidian distance from the hospital was 22.7 kilometers (km) (SD 20.7 km). Infant COI demographics are as follows: 82 “Very Low”, 84 “Low”, 109 “Moderate”, 108 “High”, and 79 “Very High.”

Of the 477 infants included in the analysis, 200 (41.9%) participated in IFUP (Table 2). Infants who participated were more likely to be of lower gestational age and smaller birthweight compared to those who did not. Additionally, infants who participated were more likely to have a NICU co-morbidity, have a need for DME at discharge, and were more likely to be discharged home rather than transferred. COI was significantly associated with IFUP participation. Participants were more likely to have mothers whose primary language was English and be of white race, though these did not reach statistical significance in bivariate comparisons.

Table 2.

Univariate analysis of covariables with successful IFUP

	No IFUP evaluation (N=277) N or mean (% or SD)	IFUP evaluation (N=200) N or mean (% or SD)	p-value
Maternal characteristics
Race
Non-Hispanic/Latino white	112 (40.4%)	84 (42.0%)	0.08
Non-Hispanic/Latino Black	44 (15.9%)	22 (11.0%)
Asian	18 (6.5%)	15 (7.5%)
Non-white Hispanic/Latino	17 (6.1%)	4 (2.0%)
Other/Unknown	86 (31.1%)	75 (37.5%)
Maternal marital status
Single	83 (36.2%)	46 (27.2%)	0.07
Partnered	146 (63.8%)	123 (72.8%)
Primary Language
English	239 (89.5%)	183 (94.3%)	0.09
Other	28 (10.5%)	11 (5.7%)
Infant characteristics
Mean gestational age (SD)	30w3d (2w3d)	28w3d (2w3d)	<0.0001
Mean birthweight (SD)	1 340.2g (355.0)	1 121.7g (374.6)	<0.0001
Sex
Male	151 (54.5%)	106 (53.0%)	0.78
Female	126 (45.5%)	94 (47.0%)
Out-born	10 (3.6%)	6 (3.0%)	0.80
Discharge disposition
Transfer	115 (41.5%)	37 (18.5%)	<0.0001
Home	162 (58.5%)	163 (81.5%)
Chronic medical condition (IVH or BPD)	56 (20.2%)	85 (42.5%)	<0.0001
Need for DME (home O2 or Gtube)	37 (13.4%)	52 (26.0%)	0.0005
Mean distance from hospital (SD)	23.6 (22.6)	21.5 (17.6)	0.27
Child Opportunity Index
Very low=1	58 (21.8%)	24 (12.3%)	0.02
Low=2	46 (17.3%)	38 (19.5%)
Moderate=3	67 (25.2%)	42 (21.5%)
High=4	59 (22.2%)	49 (25.1%)
Very high=5	36 (13.5%)	42 (21.5%)

p-value computed using Fisher’s Exact or Student’s t-test for categorical or continuous variable respectively

From our multivariable logistic regression model, we identified that infants born to Black mothers had a significantly lower likelihood of IFUP participation compared to infants born to white mothers (adjusted odds ratio (aOR) 0.43, 95% CI [0.20, 0.90]) (Table 3). Compared to infants whose mothers lived in neighborhoods with “Very High” COI, infants born to mothers living in neighborhoods with “Very Low” COI had significantly lower odds of participation (aOR 0.39, 95% CI [0.17, 0.88]). Finally, maternal primary non-English language speaking was also associated with lower odds of IFUP participation (aOR 0.29, 95% CI [0.12, 0.72]).

Table 3.

Results of multivariable logistic regression

	Odds Ratio	95% Confidence Interval	p-value
Unadjusted model
Race
Non-Hispanic/Latino White (NHW)	ref
Non-Hispanic/Latino Black v. NHW	0.67	(0.37, 1.20)	0.17
Hispanic/Latina v. NHW	0.31	(0.10, 0.97)	0.04
Asian v. NHW	1.11	(0.53, 2.33)	0.78
Other/Unknown v. NWH	1.16	(0.76, 1.77)	0.48
Adjusted model
Race
NHW	ref
Non-Hispanic/Latino Black v. NHW	0.43	(0.20, 0.90)	0.03
Hispanic/Latina v. NHW	0.47	(0.13, 1.77)	ns
Asian v. NHW	1.17	(0.45, 3.05)	ns
Other/Unknown v. NHW	1.19	(0.71, 1.98)	ns
Gestational Age	0.74	(0.68, 0.82)	<0.0001
Female	1.13	(0.73, 1.76)	ns
Primary language
English	ref
Non-English	0.29	(0.12, 0.72)	0.01
Disposition
Home	ref		<0.0001
Transfer	0.31	(0.19, 0.51)
Child Opportunity Index
Very Low v. Very High	0.39	(0.17, .88)	0.02
Low v. Very High	0.83	(0.39, 1.74)	ns
Moderate v. Very High	0.52	(0.26, 1.02)	ns
High v. Very High	0.75	(0.39, 1.44)	ns
Very High	ref
Absence of NICU co-morbidity (BPD or IVH)	0.48	(0.29, 0.80)	0.005

Maternal marital status, birthweight, need for DME, not found to be significant predictors of outcome

In addition to the social predictors of IFUP participation, older gestational age (aOR 0.75, 95% CI [0.68, 0.82]), absence of a NICU co-morbidity (aOR 0.48, 95% CI [0.29, 0.80]), and transfer to another facility v. discharge home (aOR 0.31, 95% CI [0.19, 0.51]) were all significantly predictive of decreased IFUP participation.

We assessed whether NICU co-morbidity or COI were effect modifiers of the relationship between race and IFUP participation. That is, does the relationship between race and IFUP participation differ by presence or absence of NICU comorbidity or level of COI. Interaction terms between race/comorbidity and race/COI were added to the model. Neither term was significant suggesting no effect modification.

Discussion

In agreement with our study hypothesis, we identified social factors that contribute to decreased likelihood of IFUP participation. Infants of Black mothers had a 43% decreased odds of participation in clinical follow-up compared to children of white mothers. Infants of mothers whose primary language was not English also had significantly decreased likelihood of participation in IFUP. Additionally, we found that infants of mothers living in neighborhoods with “Very Low” COI compared to “Very High,” regardless of distance from the clinic and independent of race, also had significantly decreased likelihood of participation in IFUP. To our knowledge, this is the first study that investigated the role of neighborhood as a factor contributing to participation in IFUP. These findings highlight the societal contributions to disparities in health services utilization of high-risk infants after NICU discharge.

Our study also identified infant-level factors that contribute to variations in IFUP participation. We found that newborns of younger gestational ages and smaller birthweights had increased odds of participation in IFUP as were those with NICU-associated comorbidities (BPD or IVH). Infants discharged home compared to transferred to another facility before discharge also had increased odds of participation in IFUP. These data are consistent with prior studies that have sought to identify infant-level factors associated with successful IFUP participation.[17-19,21,22]

Our study is unique in that we used an ecologic approach to explore contextual influences on participation in clinical follow-up programs. Specifically, we tested the association of IFUP participation with neighborhood health, environmental, economic, and educational opportunity by utilizing the Child Opportunity Index, a metric not previously utilized in this context. Considering drivers of disparities in health services access and utilization at multiple levels, the individual and the neighborhood, highlights the multi-layered and nuanced interactions between children, their families, and their communities and lends insights for making improvements to decrease those disparities.

Infants who participate in IFUP have improved neurodevelopmental and functional outcomes compared to those infants that do not participate or have difficulty participating.[15,16] Thus, IFUPs are especially important to infants who are at highest risk for long-term sequalae of preterm birth. Prior studies have identified that, compared to infants born to white mothers, preterm infants born to Black mothers have increased rates of NICU co-morbidities that are associated with poorer neurodevelopmental and functional outcomes, such as severe intraventricular hemorrhage.[29-31] The racial disparity in IFUP participation we identified suggests that the infants at highest risk for poor outcomes – infants born to Black mothers – are also those that are least likely to participate in IFUP. From a life-course perspective, differential access to, and participation in, recommended post-discharge health services might act to perpetuate or even amplify disparities in NICU-related health outcomes through childhood and early adulthood.[32]

Additionally, our study identified that infants born to primary non-English language speaking mothers had a significantly decreased odds of participation in IFUP compared to infants with primary English language speaking mothers. Infants born to primary non-English language speaking mothers have reported decreased satisfaction with their NICU care compared to English speaking families.[33] After discharge, infants born to primary non-English language speaking families have decreased appropriate follow up[33] and have increased emergency department health service utilization.[34] The decreased rate of IFUP participation we identified among infants born to primary non-English language speaking mothers highlights the importance of language and health literacy in ensuring access to appropriate post-discharge health services.

We found that infants born to mothers living in neighborhoods with “Very Low” COI had significantly decreased odds of participation in IFUP compared to infants born to mothers who live in neighborhoods with “Very High” COI. The COI is comprised of 19 indicators across the three domains of Education, Health and Environment, and Social and Economic opportunity. (Supplementary Table 1) Neighborhoods with “Very Low” COI are characterized by low average adult educational attainment, low rates of health insurance coverage, high rates of poverty, and proximity to employment.[25] Any one of these factors may contribute to decreased likelihood of IFUP participation. For example, decreased proximity to employment and subsequent long commute times may limit opportunity for convenient clinic appointment times. Finally, low average educational attainment may impact cultural neighborhood norms surrounding healthcare service use. This highlights that drivers of disparities in healthcare utilization have societal, as well as individual, origins and is consistent with the existing literature highlighting system-level characteristics associated with variations in care and outcomes.[3,5,29,35]

Interventions to address the disparities in IFUP participation informed by our findings related to COI may include re-locating IFUP clinics from academic centers to community-based sites, having increased flexibility of appointment times to accommodate limitations presented by long commutes, or increased education surrounding the importance and benefit of IFUP. Additionally, our findings may facilitate the development of risk-stratification schemas that incorporate an individual’s neighborhood COI to create targeted interventions to increase the likelihood that individuals in low COI neighborhoods attend IFUP. Further study will be needed to identify the modifiable neighborhood characteristics that contribute to “Very Low” COI and drive variation in IFUP participation in order to create system-level changes that improve population access and participation in IFUPs.

A multilevel approach like Bronfenbrenner’s social-ecological model encourages us to consider the many social contexts that influence child health and development.[36] From the family to the immediate community to the state, region, and nation, each ecological level has resources and constraints, opportunities and challenges. Furthermore, each level has the capacity to contribute to disparities. Our findings highlight several levels at which disparities in healthcare utilization are propagated: the individual level (gestational age, NICU-associated comorbidities), the family level (maternal race, and primary language) and the societal level (neighborhood COI). Interventions to reduce disparities in IFUP participation should not only be focused on the individual. Instead, a multilevel ecologically-based approach must be designed that will both address individual-level factors, such as medical distrust and provider bias, while dismantling systems that promote inequitable healthcare delivery. Novel approaches and changes to the paradigm of care, utilizing quality improvement methodology to ensure equal implementation of interventions across communities, and partnering with communities have been suggested to increase IFUP participation.[32]

Informed by the results of this study, we have formally assessed the health literacy environment of our IFUP to address the needs of families with limited English proficiency. Additionally, we have conducted semi-structured interviews with families, staff, and key informants to better understand barriers to participation in IFUP. Finally, we plan to assemble task forces to address our specific findings through the implementation of small tests of change and equity-focused quality improvement methodology[37] to improve IFUP participation.

Our study has several methodologic limitations. First, our study was performed as part of a single center quality improvement initiative with a regionally homogenous sample. Second, our study is limited by a high proportion of mothers who chose to not identify their race or ethnicity. This is likely because collecting data on race is not standardized at the institution level and may be considered highly sensitive. We addressed missingness by conducting sensitivity analyses. In sensitivity analyses, the effect of Black race on IFUP participation did not change when all missing values were set to white. When set to Black, the magnitude of the effect size of Black race was diminished, though the direction of the association was unchanged. It is unlikely that the missing values would take on either extreme given the demographics of our local patient population. Third, our study is limited by the focus on preterm infants. While this is an important population, the high-risk infant population requiring specialized follow up also includes infants with hypoxic-ischemic encephalopathy, genetic disorders[38] and those requiring surgery.[39]

Despite these limitations, our study has several strengths. First, we a priori sought to identify racial and ethnic disparities associated with IFUP participation and, as noted above, used social epidemiology theory to develop and inform our hypotheses. This provided an epidemiological framework for analysis and a lens for appropriate interpretation of results. Second, by seeking to understand health services utilization among high-risk infants within an ecological framework, our hypotheses and variables, including neighborhood, are meaningfully situated among many levels of influence. This enabled us to establish a foundation for further studies to identify the multi-level, modifiable risk factors that contribute to IFUP participation. Finally, this is the first time, to our knowledge, that neighborhood has been investigated as a contributor to variation and disparity in infant health service utilization. As we begin to understand the multiple levels that contribute to ongoing disparities in neonatal care, it will be necessary to perform large, multicenter, collaborative studies that seek to understand population-level modifiable risk factors as targets for intervention to improve outcomes.

In conclusion, infants born to Black mothers, mothers who did not identify English as their primary language, and those living in neighborhoods with “Very Low” COI were significantly less likely to participate in IFUP. Additionally, younger and smaller newborns, as well as those with NICU comorbidities and those discharged home versus transferred were more likely to participate in IFUP. Further studies are needed to understand underlying mechanisms and drivers of disparities to be able to develop targeted multilevel interventions to improve IFUP participation among all newborns.