Pasteurized human donor milk use among US level 3 neonatal intensive care units. 2013

Margaret G K Parker, and Alejandra Barrero-Castillero, and Brian K Corwin, and Patricia L Kavanagh, and Mandy B Belfort, and C Jason Wang
Department of Pediatrics, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA. margaret.parker@bmc.org

BACKGROUND Pasteurized human donor milk (DM) is recommended by the World Health Organization and American Academy of Pediatrics for preterm infants when mother's own milk is unavailable, yet the extent and predictors of use and criteria for use in US neonatal intensive care units (NICUs) are unknown. OBJECTIVE This study aimed to evaluate current DM use in US level 3 NICUs and predictors and criteria of use. METHODS We sent mail surveys to 302 US level 3 NICU directors. We used multivariable logistic regression to analyze predictors of DM use. RESULTS Survey response rate was 60%, and 76 of 182 (42%) directors reported DM use. Among DM users, 30% have used DM < 2 years and 55% for 2 to 5 years. Among nonusers, 63% were uncertain of turnaround time when ordering DM, 36% were unclear what guidelines milk banks followed, and 31% were unsure of parent receptiveness. In multivariate analyses, > 800 annual admissions (odds ratio [OR], 4.11; 95% confidence interval [CI], 1.43-11.82; reference ≤ 400 admissions) and location in the Midwest (OR, 3.02; 95% CI, 1.17-7.76) and West (OR, 6.33; 95% CI, 2.28-15.57; reference Northeast) were positively associated with DM use; safety-net hospitals (> 75% Medicaid insurance) were negatively associated (OR, 0.35; 95% CI, 0.14-0.89). CONCLUSIONS Pasteurized human donor milk use is rapidly emerging among US level 3 NICUs. Larger NICUs and those in the West and Midwest were more likely to use DM, while safety-net hospitals were less likely to use DM. Lack of knowledge by medical directors of accessibility, safety, and parental receptiveness may be barriers to DM use.

UI MeSH Term Description Entries
D007231 Infant, Newborn An infant during the first 28 days after birth. Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants
D007234 Infant, Premature A human infant born before 37 weeks of GESTATION. Neonatal Prematurity,Premature Infants,Preterm Infants,Infant, Preterm,Infants, Premature,Infants, Preterm,Premature Infant,Prematurity, Neonatal,Preterm Infant
D007363 Intensive Care Units, Neonatal Hospital units providing continuing surveillance and care to acutely ill newborn infants. Neonatal Intensive Care Unit,Neonatal Intensive Care Units,Newborn Intensive Care Unit,Newborn Intensive Care Units,ICU, Neonatal,Neonatal ICU,Newborn ICU,Newborn Intensive Care Units (NICU),ICU, Newborn,ICUs, Neonatal,ICUs, Newborn,Neonatal ICUs,Newborn ICUs
D008895 Milk, Human Milk that is produced by HUMAN MAMMARY GLANDS. Breast Milk,Human Milk,Milk, Breast
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001291 Attitude of Health Personnel Attitudes of personnel toward their patients, other professionals, toward the medical care system, etc. Staff Attitude,Attitude, Staff,Attitudes, Staff,Health Personnel Attitude,Health Personnel Attitudes,Staff Attitudes
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D015931 Intensive Care, Neonatal Continuous care and monitoring of newborn infants with life-threatening conditions, in any setting. Infant, Newborn, Intensive Care,Neonatal Intensive Care,Care, Neonatal Intensive
D015999 Multivariate Analysis A set of techniques used when variation in several variables are studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables. Analysis, Multivariate,Multivariate Analyses
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic

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