Racial Misclassification and Disparities in Neonatal Abstinence Syndrome Among American Indians and Alaska Natives
Objectives Maternal substance misuse can result in neonatal abstinence syndrome (NAS), a drug withdrawal process in newborns exposed in utero to drugs. This study aimed to examine the effect of racial misclassification of American Indians and Alaska Natives (AI/AN) on rates of NAS in two hospital di...
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Veröffentlicht in: | Journal of racial and ethnic health disparities 2022-10, Vol.9 (5), p.1897-1904 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Objectives
Maternal substance misuse can result in neonatal abstinence syndrome (NAS), a drug withdrawal process in newborns exposed in utero to drugs. This study aimed to examine the effect of racial misclassification of American Indians and Alaska Natives (AI/AN) on rates of NAS in two hospital discharge datasets in the Pacific Northwest.
Methods
We conducted probabilistic record linkages between the Northwest Tribal Registry and Oregon and Washington hospital discharge datasets to correct racial misclassification of AI/AN people. We assessed outcomes using International Classification of Disease, Ninth Revision/Tenth Revision, Clinical Modification (ICD-9-CM or ICD-10-CM) diagnosis codes.
Results
Linkage increased ascertainment of NAS cases among AI/AN by 8.8% in Oregon and by 18.1% in Washington. AI/AN newborns were 1.5 and 3.9 times more likely to be diagnosed with NAS than NHW newborns in Oregon and Washington, respectively. The results showed that newborns residing in rural Washington were 1.4 times more likely to be diagnosed with NAS than those living in urban areas.
Conclusions
Correct racial classification is an important factor in improving data quality for AI/AN populations and establishing accurate surveillance to help address the disproportionate burden of neonatal abstinence syndrome among AI/AN. The results highlight the need for programing efforts tailored by insurance status and rurality for pregnant women using substances. |
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ISSN: | 2197-3792 2196-8837 |
DOI: | 10.1007/s40615-021-01127-z |