Improved Referral of Very Low Birthweight Infants to High-Risk Infant Follow-Up in California

Application of the Hammersmith Infant Neurological Examination in the developmental follow-up of high-risk infants

AIM

To investigate the independent influences affecting the global score of the Hammersmith Infant Neurological Examination (HINE) in the early life of high-risk infants and to provide evidence for early effective screening and for evaluating interventions.

METHOD

We conducted a prospective cohort study of 258 high-risk infants assessed by the HINE and Gesell Developmental Diagnosis Schedule at 3, 6, 9, and 12 months corrected age. A multiple linear regression model was developed to investigate independent influences on HINE global score at 3 months corrected age. The accuracy of the HINE global score was analysed by calculating the discriminant, concurrent, and predictive validities according to ages.

RESULTS

There were nine independent influences affecting the HINE global score at 3 months corrected age in high-risk infants. The discriminant, concurrent, and predictive validities of the HINE for gross motor developmental delays at 12 months corrected age were all statistically significant (p < 0.05).

INTERPRETATION

Different neonatal clinical settings are related to the HINE global score of high-risk infants early in life. The HINE can be used for longitudinal monitoring of neurological development in the first year of life in a typical Chinese clinical setting and the findings at all four ages tested relate to neuromotor outcomes at 12 months corrected age.

Hammersmith

目的

探讨影响高危儿生命早期Hammersmith婴儿神经学检查(HINE)总分的独立影响因素，并为早期有效筛查和评估干预疗效提供证据。

方法

我们对258名高危儿进行了前瞻性队列研究，分别在矫正3、6、9 和12月龄时接受了 HINE和Gesell发育诊断表的评估。一个多元线性回归模型被建立以探究矫正3月龄时HINE总分的独立影响因素。通过计算不同年龄段的区分效度、同时效度和预测效度，分析HINE 总分的准确性。

结果

高危儿HINE总分在矫正3月龄时有9个独立影响因素。在矫正2月龄时，HINE总分对粗大运动发育迟缓的区分效度、同时效度和预测效度均有统计学意义(P < 0.05)。

结果

不同的新生儿临床状况与其生命早期HINE总分有关。在典型的中国临床环境中，HINE可用于纵向监测高危儿出生后第一年的神经系统发育情况，而且四个年龄段的筛查结果都与矫正12月龄时的神经运动发育结果有关。

Factors Associated with Outpatient Therapy Utilization in Extremely Preterm Infants

OBJECTIVE

Factors influencing utilization of outpatient interventional therapies for extremely low gestational age newborns (ELGANs) after discharge remain poorly characterized, despite a significant risk of neurodevelopmental impairment. We sought to assess the effects of maternal, infant, and environmental characteristics on outpatient therapy utilization in the first 2 years after discharge using data from the Preterm Erythropoietin Neuroprotection (PENUT) Trial.

STUDY DESIGN

This is a secondary analysis of 818, 24 to 27 weeks gestation infants enrolled in the PENUT trial who survived through discharge and completed at least one follow-up call or in-person visit between 4 and 24 months of age. Utilization of a state early intervention (EI) program, physical therapy (PT), occupational therapy (OT), and speech therapy (ST) was recorded. Odds ratios and cumulative frequency curves for resource utilization were calculated for patient characteristics adjusting for gestational age, treatment group, and birth weight.

RESULTS

EI was not accessed by 37% of infants, and 18% did not use any service (PT/OT/ST/EI). Infants diagnosed with severe morbidities (intraventricular hemorrhage, retinopathy of prematurity, bronchopulmonary dysplasia, necrotizing enterocolitis), discharged with home oxygen, or with gastrostomy placement experienced increased utilization of PT, OT, and ST compared with peers. However, substantial variation in service utilization occurred by the state of enrollment and selected maternal characteristics.

CONCLUSIONS

ELGANs with severe medical comorbidities are more likely to utilize services after discharge. Therapy utilization may be impacted by maternal characteristics and state of enrollment. Outpatient therapy services remain significantly underutilized in this high-risk cohort. Further research is required to characterize and optimize the utilization of therapy services following NICU discharge of ELGANs.

KEY POINTS

· Outpatient therapy is underutilized in ELGANs.. · Medical comorbidities may impact therapy use.. · Maternal characteristics may impact therapy use.. · State of enrollment may impact therapy use..

Early childhood outcomes of NICU graduates with cytomegalovirus infection in California

BACKGROUND

To assess demographics and outcomes up to 3 years of age among children with cytomegalovirus (CMV) infection in California neonatal intensive care units (NICUs) during 2010-2021.

METHODS

The California Perinatal Quality Care Collaborative (CPQCC) collects data on all very low birth weight (VLBW, birth weight ≤ 1500 g) and acutely ill infants with birth weight > 1500 g across 92% of NICUs in California. VLBW infants and those with neurological conditions are referred to a statewide high-risk infant follow-up (HRIF) program. CMV infection was defined as a positive culture or PCR identified during the NICU hospitalization.

RESULTS

During 2010-2021, CMV reporting rates averaged 3.5/1000 VLBW infants (n = 205) and 1.1/1000 infants >1500 g (n = 128). Among all 333 infants with CMV, 314 (94%) were discharged home alive, 271 (86%) were referred for HRIF and 205 (65%) had ≥1 visit. Whereas infants born to mothers <20 years of age had highest CMV reporting rates and those born to Hispanic mothers comprised 49% of all infected infants, they had the highest loss of follow-up. At the 12-month visit (n = 152), 19 (13%) infants with CMV had bilateral blindness and 18 (12%) had hearing loss. At the 24-month visit, 5 (5%) of 103 had severe cerebral palsy.

CONCLUSIONS

Among infants admitted to the NICU, those with CMV diagnoses may over represent infants with more severe CMV disease and outcomes. The CPQCC and HRIF program findings may help inform implementation of surveillance for congenital CMV infection in other U.S. states and guide strategies to reduce disparities in access to services.

Neonatal resuscitation: A cross-sectional study measuring the readiness of healthcare personnel

Background: Optimal neonatal resuscitation requires knowledge and experience on the part of healthcare personnel. This study aims to assess the readiness of hospital healthcare personnel to perform neonatal resuscitation. Methods: This was an observational study conducted in May 2021 by distributing questionnaires to nurses, midwives, doctors, and residents to determine the level of knowledge and experience of performing neonatal resuscitation. Questionnaires were adapted from prior validated questionnaires by Jukkala AM and Henly SJ. We conducted the research in four types of hospitals A, B, C, and D, which are defined by the Regulation of the Minister of Health of the Republic of Indonesia. Type A hospitals have the most complete medical services, while type D hospitals have the least medical services. The comparative analysis between participants' characteristics and the knowledge or experience score was conducted. Results: A total of 123 and 70 participants were included in the knowledge and experience questionnaire analysis, respectively. There was a significant difference (p = 0.013) in knowledge of healthcare personnel between the type A hospital (median 15.00; Interquartile Range [IQR] 15.00-16.00) and type C hospital (median 14.50; IQR 12.25-15.75). In terms of experience, the healthcare personnel of type A (median 85.00; IQR 70.00-101.00) and type B (median 92.00; IQR 81.00-98.00) hospitals had significantly (p =0,026) higher experience scores than the type D (median 42.00; IQR 29.00-75.00) hospital, but we did not find a significant difference between other type of hospitals. Conclusions: In this study, we found that the healthcare personnel from type A and type B hospitals are more experienced than those from type D hospitals in performing neonatal resuscitation. We suggest that a type D hospital should refer the neonate to a type A or type B hospital if there is sufficient time in cases of risk at need for resuscitation.

Rural Residence and Factors Associated with Attendance at the Second High-Risk Infant Follow-up Clinic Visit for Very Low Birth Weight Infants in California

OBJECTIVE

 This study was aimed to determine factors associated with attendance at the second high-risk infant follow-up (HRIF) visit (V2) by 20 months of corrected age after a successful first visit (V1), and the impact of rural residence on attendance rates in a statewide population of very low birth weight (VLBW; <1,500 g) infants.

STUDY DESIGN

 Data linked from the California Perinatal Quality of Care Collaborative (CPQCC) Neonatal Intensive Care Unit (NICU) database and CPQCC-California Children's Services (CCS) HRIF database. Multivariable logistic regression evaluated independent associations of sociodemographic, maternal, family, neonatal clinical, and individual HRIF program differences (factors) with successful V2 in VLBW infants born in 2010 to 2012.

RESULTS

 Of 7,295 eligible VLBW infants, 75% (5,475) attended V2. Sociodemographic factors independently associated with nonattendance included maternal race of Black (adjusted odds ratio [aOR] = 0.61; 95% confidence interval [CI]: 0.5-0.75), public insurance (aOR = 0.79; 95% CI: 0.69-0.91), and rural residence (aOR = 0.74; 95% CI: 0.61-0.9). Factors identified at V1that were associated with V2 attendance included attending V1 within the recommended window (aOR = 2.34; 95% CI: 1.99-2.75) and early intervention enrollment (aOR = 1.39; 95% CI: 1.12-1.61). Neonatal factors associated with attendance included birth weight ≤750 g (aOR = 1.83; 95% CI: 1.48-2.5). There were significant program differences with risk-adjusted rates ranging from 43.7 to 99.7%.

CONCLUSION

 Sociodemographic disparities and HRIF program factors are associated with decreased attendance at V2 among VLBW infants. These findings highlight opportunities for quality and process improvement interventions starting in the NICU and continuing through transition to home and community to assure participation in HRIF.

KEY POINTS

· Only 75% of VLBW infants attended the second HRIF visit.. · Those less likely to attend were Black or had rural residence.. · Infants in early intervention or attending first visit within recommended ages were more likely to attend..

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.

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.

Using Telemedicine to Overcome Barriers to Neurodevelopmental Care from the Neonatal Intensive Care Unit to School Entry

Dedicated Neonatal Intensive Care Unit (NICU) follow-up programs are recommended for ongoing surveillance for infants at high-risk for future neurodevelopmental impairment (NDI). Systemic, socioeconomic, and psychosocial barriers remain for referrals and the continued neurodevelopmental follow-up of high-risk infants. Telemedicine can help overcome these barriers. Telemedicine allows standardization of evaluations, increased referral rates, and reduced time to follow-up as well as increased therapy engagement. Telemedicine can expand neurodevelopmental surveillance and support all NICU graduates, facilitating the early identification of NDI. However, with the recent expansion of telemedicine during the COVID-19 pandemic, new barriers related to access and technological support have arisen.

Racial and ethnic disparities in outcomes after NICU discharge: An equity-focused model

Significant racial and ethnic disparities exist in birth outcomes and complications related to prematurity. However, little is known about racial and ethnic variations in health outcomes after premature infants are discharged from the neonatal intensive care unit (NICU). We propose a novel, equity-focused conceptual model to guide future evaluations of post-discharge outcomes that centers on a multi-dimensional, comprehensive view of health, which we call thriving. We then apply this model to existing literature on post-discharge inequities, revealing a need for rigorous analysis of drivers and strength-based, longitudinal outcomes.

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.

Developing a Unit-Based Quality Improvement Program in a Large Neonatal ICU

BACKGROUND

Quality improvement (QI) methods have been widely adopted in health care. Although theoretical frameworks and models for organizing successful QI programs have been described, few reports have provided practical examples to link existing QI theory to building a unit-based QI program. The purpose of this report is to describe the authors' experience in building QI infrastructure in a large neonatal ICU (NICU).

METHODS

A unit-based QI program was developed with the goal of fostering the growth of high-functioning QI teams. This program was based on six pillars: shared vision for QI, QI team capacity, QI team capability, actionable data for improvement, culture of improvement, and QI team integration with external collaboratives. Multiple interventions were developed, including a QI dashboard to align NICU metrics with unit and hospital quality goals, formal training for QI leaders, QI coaches imbedded in project teams, a day-long QI educational workshop to introduce QI methodology to unit staff, and a secure, Web-based QI data infrastructure.

RESULTS

Over a five-year period, this QI infrastructure brought organization and support for individual QI project teams and improved patient outcomes in the unit. Two case studies are presented, describing teams that used support from the QI infrastructure. The Infection Prevention team reduced central line-associated bloodstream infections from 0.89 to 0.36 infections per 1,000 central line-days. The Nutrition team decreased the percentage of very low birth weight infants discharged with weights less than the 10th percentile from 51% to 40%.

CONCLUSION

The clinicians provide a pragmatic example of incorporating QI organizational and contextual theory into practice to support the development of high-functioning QI teams and build a unit-based QI program.

Factors associated with follow-up of infants with hypoxic-ischemic encephalopathy in a high-risk infant clinic in California

OBJECTIVE

To determine the rates of high-risk infant follow-up (HRIF) attendance and the characteristics associated with follow-up among infants with hypoxic-ischemic encephalopathy (HIE) in California.

STUDY DESIGN

Using population-based datasets, 1314 infants with HIE born in 2010-2016 were evaluated. The characteristics associated with follow-up were identified through multivariable logistic regression.

RESULTS

73.9% of infants attended HRIF by age 1. Follow-up rates increased and variation in follow-up by clinic decreased over time. Female infants; those born to African-American, single, less than college-educated, or publicly insured caregivers; and those referred to high-volume or regional programs had lower follow-up rates. In multivariable analysis, Asian and Pacific Islander race/ethnicity had lower odds of follow-up; infants with college- or graduate school-educated caregivers or referred to mid-volume HRIF programs had greater odds.

CONCLUSION

Sociodemographic and program-level characteristics were associated with lack of follow-up among HIE infants. Understanding these characteristics may improve the post-discharge care of HIE infants.

Quality improvement approaches to reduce racial/ethnic disparities in the neonatal intensive care unit

Inequities in neonatal care quality and outcomes persist. Current models of neonatal quality improvement (QI) typically involve implementation of standardized approaches to clinical care that seek to provide consistent care to all infants and their families, which may neglect to account for the unique needs of diverse patient populations. Current approaches often fail to track outcome and process measures by important social disparity metrics, such as race/ethnicity and primary language. Despite these shortcomings, use of a QI structure has tremendous potential to address disparities in neonatal care. Crucial components of a QI approach to achieve health equity include: (1) Identifying equity goals from the inception of a project; (2) Inclusion of diverse family members on multidisciplinary teams; (3) Tracking outcome and process measures according to disparity metrics; and (4) Conducting interventions that preferentially address barriers of high-risk social groups. Hospital-system commitment to diversity and inclusion in the healthcare work force, recognition of the impact of unconscious provider bias and advocacy in the greater public health setting are needed to address underlying social inequities that impact neonatal care quality.

Families' perspectives on monitoring infants' health and development after discharge from NICUs

Based on a survey of families of very preterm infants, Seppanen et al report that: 1) parents rated post-discharge (post-NICU) care as poor or fair for 14.2% of children; 2) parents of one-third of children with health or developmental disorders rated their child’s post-hospital care as poor or fair, as compared to 12–13% of parents of typically developing and healthy children; and 3) parents’ suggestions for ways to improve post-hospital care focused primarily on better communication between the health care team and parents and better coordination of the child’s care. These findings point to a large opportunity for improving post-NICU services for infants born very preterm, especially for children with health or developmental disorders. In addition to gathering more information about families’ perspectives, vigorous quality improvement methods should be applied to improve the effectiveness of post-NICU clinics and the health and development outcomes of the infants and families served by these clinics.

Quality improvement for NICU graduates: Feasible, relevant, impactful

Continuous quality improvement (CQI) has become a vital component of newborn medicine. Applying core principles - robust measurement, repeated small tests of change, collaborative learning through data sharing - have led to improvements in care quality, safety, and outcomes in the Neonatal Intensive Care Unit (NICU). High-risk infant follow-up programs (HRIF) have historically aided such quality improvement efforts by providing outcomes data about NICU interventions. Though as a discipline, HRIF has not universally embraced CQI for its own practice. In this review, we summarize the history of CQI in neonatology and applications of improvement science in healthcare and describe examples of CQI in HRIF. We identify the need for consensus on what defines 'high-risk' and constitutes meaningful outcomes. Last, we outline four areas for future investment: establishing evidence-based care delivery systems, standardizing outcomes and their measures, embracing a family-centered approach prioritizing parent goals, and developing professional standards of care for HRIF.