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To explore the role of children's residential environment on opioid prescribing patterns in a predominantly Latinx sample.


We connected geocoded data from electronic medical records in a diverse sample of pediatric patients to neighborhood environments constructed using latent profile modeling techniques. We then estimated a series of multilevel models to determine whether opioid prescribing patterns vary by residential context.


A stepwise pattern exists between neighborhood disadvantage and pediatric opioid prescription patterns, such that higher levels of disadvantage associate with a greater likelihood of opioid prescription, independent of the patient's individual profile.


In a largely Latinx sample of children, the neighborhood in which a child lives influences whether or not they will receive opioids. Considering the differences in patient residential environment may reduce variation in opioid dispensing rates among pediatric patients.


NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Pediatric Nursing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Pediatric Nursing, volume 72, in 2023.

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Available for download on Wednesday, June 19, 2024