Social disparities negatively impact neonatal follow-up clinic attendance of premature infants discharged from the neonatal intensive care unit

Objective Neonatal neurodevelopmental follow-up clinic provides continued surveillance and assessment of high-risk premature infants. We hypothesized that attrition is associated with race and social factors. Study design We performed a retrospective cohort study of neonates born at 26–32 weeks gest...

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Bibliographic Details
Published inJournal of perinatology Vol. 40; no. 5; pp. 790 - 797
Main Authors Swearingen, Corinne, Simpson, Pippa, Cabacungan, Erwin, Cohen, Susan
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.05.2020
Nature Publishing Group
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Summary:Objective Neonatal neurodevelopmental follow-up clinic provides continued surveillance and assessment of high-risk premature infants. We hypothesized that attrition is associated with race and social factors. Study design We performed a retrospective cohort study of neonates born at 26–32 weeks gestation who were admitted to a level IV neonatal intensive care unit. Maternal and neonatal characteristics and follow-up attendance were collected. Statistical analysis was performed with significance set at p value < 0.05. Results In total, 237 neonates met study criteria. There was a 62% loss to follow-up over 2 years. Factors associated with loss to follow-up included older gestational age, African American race, and maternal cigarette smoking. Protective factors included older maternal age, a neonatal diagnosis of bronchopulmonary dysplasia, and longer hospital length of stay. Conclusions Social disparities negatively impact neonatal follow-up clinic attendance. Efforts to identify and target high-risk populations must be started during initial hospitalization before infants are lost to follow-up.
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Dr. Swearingen designed the study and wrote the manuscript with guidance from Drs. Cabacungan and Cohen. Dr. Cabacungan performed the statistical analysis with oversight from the Division of Quantitative Health Sciences.
AUTHOR CONTRIBUTIONS
ISSN:0743-8346
1476-5543
DOI:10.1038/s41372-020-0659-4