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

Potentially Better Practices for Follow Through in Neonatal Intensive Care Units

OBJECTIVE

To ascertain how NICU teams are undertaking action to follow through, involving teams, families, and communities as partners to address health-related social needs of infants and families.

METHODS

Nineteen potentially better practices (PBPs) for follow through first published in 2020 were reported and analyzed as a sum, overall, and by safety-net hospital status, hospital ownership, and NICU type, among US NICUs that finalized Vermont Oxford Network data collection in 2023.

RESULTS

One hundred percent of 758 eligible hospitals completed the annual membership survey, of which 57.5% reported screening for social risks. Almost all NICUs offered social work, lactation support, and translation services, but only 16% included a lawyer or paralegal on the team. Overall, 90.2% helped families offset financial costs while their infants were in the hospital, either with direct services or vouchers. At discharge, 94.0% of NICUs connected families with appropriate community organizations and services, 52.9% provided telemedicine after discharge, and 11.7% conducted home visits. The median number of PBPs at each hospital was 10 (25th percentile: 8, 75th percentile: 12). The number of PBPs reported differed by hospital control or ownership and level of NICU care. There were no differences by safety-net hospital status.

CONCLUSIONS

Despite concerns about time and resources, a diverse set of US NICUs reported adopting potentially better practices for follow through. However, the marked variation among NICUs and the lower rates at for-profit and lower-level NICUs suggest there is substantial opportunity for improvement.

Developing a practical neurodevelopmental prediction model for targeting high-risk very preterm infants during visit after NICU: a retrospective national longitudinal cohort study

BACKGROUND

Follow-up visits for very preterm infants (VPI) after hospital discharge is crucial for their neurodevelopmental trajectories, but ensuring their attendance before 12 months corrected age (CA) remains a challenge. Current prediction models focus on future outcomes at discharge, but post-discharge data may enhance predictions of neurodevelopmental trajectories due to brain plasticity. Few studies in this field have utilized machine learning models to achieve this potential benefit with transparency, explainability, and transportability.

METHODS

We developed four prediction models for cognitive or motor function at 24 months CA separately at each follow-up visits, two for the 6-month and two for the 12-month CA visits, using hospitalized and follow-up data of VPI from the Taiwan Premature Infant Follow-up Network from 2010 to 2017. Regression models were employed at 6 months CA, defined as a decline in The Bayley Scales of Infant Development 3rd edition (BSIDIII) composite score > 1 SD between 6- and 24-month CA. The delay models were developed at 12 months CA, defined as a BSIDIII composite score < 85 at 24 months CA. We used an evolutionary-derived machine learning method (EL-NDI) to develop models and compared them to those built by lasso regression, random forest, and support vector machine.

RESULTS

One thousand two hundred forty-four VPI were in the developmental set and the two validation cohorts had 763 and 1347 VPI, respectively. EL-NDI used only 4-10 variables, while the others required 29 or more variables to achieve similar performance. For models at 6 months CA, the area under the receiver operating curve (AUC) of EL-NDI were 0.76-0.81(95% CI, 0.73-0.83) for cognitive regress with 4 variables and 0.79-0.83 (95% CI, 0.76-0.86) for motor regress with 4 variables. For models at 12 months CA, the AUC of EL-NDI were 0.75-0.78 (95% CI, 0.72-0.82) for cognitive delay with 10 variables and 0.73-0.82 (95% CI, 0.72-0.85) for motor delay with 4 variables.

CONCLUSIONS

Our EL-NDI demonstrated good performance using simpler, transparent, explainable models for clinical purpose. Implementing these models for VPI during follow-up visits may facilitate more informed discussions between parents and physicians and identify high-risk infants more effectively for early intervention.

Ensuring Optimal Outcomes for Preterm Infants after NICU Discharge: A Life Course Health Development Approach to High-Risk Infant Follow-Up

Children born prematurely (<37 weeks' gestation) have an increased risk for chronic health problems and developmental challenges compared to their term-born peers. The threats to health and development posed by prematurity, the unintended effects of life-sustaining neonatal intensive care, the associated neonatal morbidities, and the profound stressors to families affect well-being during infancy, childhood, adolescence, and beyond. Specialized clinical programs provide medical and developmental follow-up care for preterm infants after hospital discharge. High-risk infant follow-up, like most post-discharge health services, has many shortcomings, including unclear goals, inadequate support for infants, parents, and families, fragmented service provisions, poor coordination among providers, and an artificially foreshortened time horizon. There are well-documented inequities in care access and delivery. We propose applying a life course health development framework to clinical follow-up for children born prematurely that is contextually appropriate, developmentally responsive, and equitably deployed. The concepts of health development, unfolding, complexity, timing, plasticity, thriving, and harmony can be mapped to key components of follow-up care delivery to address pressing health challenges. This new approach envisions a more effective version of clinical follow-up to support the best possible functional outcomes and the opportunity for every premature infant to thrive within their family and community environments over their life course.

All Care is Brain Care: Neuro-Focused Quality Improvement in the Neonatal Intensive Care Unit

Neonates requiring intensive care are in a critical period of brain development that coincides with the neonatal intensive care unit (NICU) hospitalization, placing these infants at high risk of brain injury and long-term neurodevelopmental impairment. Care in the NICU has the potential to be both harmful and protective to the developing brain. Neuro-focused quality improvement efforts address 3 main pillars of neuroprotective care: prevention of acquired injury, protection of normal maturation, and promotion of a positive environment. Despite challenges in measurement, many centers have shown success with consistent implementation of best and potentially better practices that may improve markers of brain health and neurodevelopment.

Outcomes of Preterm Infants: Shifting Focus, Extending the View

Advances in perinatal care have led to remarkable long-term survival for infants who are born preterm. This article reviews the broader context of follow-up care, highlighting the need to reenvision some areas, such as improving parental support by embedding parental involvement in the neonatal intensive care unit, incorporating parental perspectives about outcomes into follow-up care models and research, supporting their mental health, addressing social determinants of health and disparities, and advocating for change. Multicenter quality improvement networks allow identification and implementation of best practices for follow-up care.

High-Risk Infant Follow-Up After NICU Discharge: Current Care Models and Future Considerations

Preterm infants are at heightened risk for chronic health problems and developmental delays compared with term-born peers. High-risk infant follow-up programs provide surveillance and support for problems that may emerge during infancy and early childhood. Although considered standard of care, program structure, content, and timing are highly variable. Families face challenges accessing recommended follow-up services. Here, the authors review common models of high-risk infant follow-up, describe novel approaches, and outline considerations for improving the quality, value, and equity of follow-up care.