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..

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.

Factors Associated with Successful First High-Risk Infant Clinic Visit for Very Low Birth Weight Infants in California.

OBJECTIVES: To determine rates of at least 1 high-risk infant follow-up (HRIF) visit by 12 months corrected age, and factors associated with successful first visit among very low birth weight (VLBW) infants in a statewide population-based setting. STUDY DESIGN: We used the linked California Perinatal Quality of Care Collaborative and California Perinatal Quality of Care Collaborative-California Children's Services HRIF databases. Multivariable logistic regression examined independent associations of maternal, sociodemographic, neonatal clinical, and HRIF program factors with a successful first HRIF visit among VLBW infants born in 2010-2011. RESULTS: Among 6512 VLBW children referred to HRIF, 4938 (76%) attended a first visit. Higher odds for first HRIF visit attendance was associated with older maternal age (OR, 1.48; 95% CI, 1.27-1.72; 30-39 vs 20-29 years), lower birth weight (OR, 2.11; 95% CI, 1.69-2.65; ≤750 g vs 1251-1499 g), private insurance (OR, 1.65; 95% CI, 1.19-2.31), a history of severe intracranial hemorrhage (OR, 1.61; 95% CI, 1.12-2.30), 2 parents as primary caregivers (OR, 1.18, 95% CI 1.03-1.36), and higher HRIF program volume (OR, 2.62; 95% CI, 1.88-3.66; second vs lowest quartile); and lower odds with maternal race African American or black (OR, 0.65; 95% CI, 0.54-0.78), and greater distance to HRIF program (OR, 0.69; 95% CI, 0.57-0.83). Rates varied substantially across HRIF programs, which remained after risk adjustment. CONCLUSIONS: In a population-based California VLBW cohort, maternal, sociodemographic, and home- and program-level disparities were associated with HRIF non-attendance. These findings underscore the need to identify challenges in access and resource risk factors during hospitalization in the neonatal intensive care unit, provide enhanced education about the benefits of HRIF, and create comprehensive neonatal intensive care unit-to-home transition approaches.

Programmatic and Administrative Barriers to High-Risk Infant Follow-Up Care.

OBJECTIVE: This article characterizes programmatic features of a population-based network of high-risk infant follow-up programs and identifies potential challenges associated with attendance from the providers' perspective. STUDY DESIGN: A web-based survey of high-risk infant follow-up program directors, coordinators, and providers of a statewide high-risk infant follow-up system. Frequencies and percentages were used to describe the survey responses. RESULTS: Of the 68 high-risk infant follow-up programs in California, 56 (82%) responded to the survey. The first visit no-show rate between 10 and 30% was estimated by 44% of programs with higher no-show rates for subsequent visits. Common strategies to remind families of appointments were phone calls and mailings. Most programs (54%) did not have a strategy to help families who lived distant to the high-risk infant follow-up clinic. CONCLUSION: High-risk infant follow-up programs may lack resources and effective strategies to enhance follow-up, particularly for those living at a distance.

Referral of very low birth weight infants to high-risk follow-up at neonatal intensive care unit discharge varies widely across California.

OBJECTIVES: To determine rates and factors associated with referral to the California Children's Services high-risk infant follow-up (HRIF) program among very low birth weight (BW) infants in the California Perinatal Quality of Care Collaborative. STUDY DESIGN: Using multivariable logistic regression, we examined independent associations of demographic and clinical variables, neonatal intensive care unit (NICU) volume and level, and California region with HRIF referral. RESULTS: In 2010-2011, 8071 very low BW infants were discharged home; 6424 (80%) were referred to HRIF. Higher odds for HRIF referral were associated with lower BW (OR 1.9, 95% CI 1.5-2.4; ≤ 750 g vs 1251-1499 g), higher NICU volume (OR 1.6, 1.2-2.1; highest vs lowest quartile), and California Children's Services Regional level (OR 3.1, 2.3-4.3, vs intermediate); and lower odds with small for gestational age (OR 0.79, 0.68-0.92), and maternal race African American (OR 0.58, 0.47-0.71) and Hispanic (OR 0.65, 0.55-0.76) vs white. There was wide variability in referral among regions (8%-98%) and NICUs (<5%-100%), which remained after risk adjustment. CONCLUSIONS: There are considerable disparities in HRIF referral, some of which may indicate regional and individual NICU resource challenges and barriers. Understanding demographic and clinical factors associated with failure to refer present opportunities for targeted quality improvement initiatives.