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Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida
OBJECTIVES: Studies have shown significant increases in the prevalence of maternal opioid use. Most prevalence estimates are based on unverified ICD-10-CM diagnoses. This study determined the accuracy of ICD-10-CM opioid-related diagnosis codes documented during delivery and examined potential assoc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692249/ https://www.ncbi.nlm.nih.gov/pubmed/37199857 http://dx.doi.org/10.1007/s10995-023-03669-6 |
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author | Elmore, Amanda L. Salemi, Jason L. Kirby, Russell S. Sappenfield, William M. Lowry, Joseph Dixon, Ashley Lake-Burger, Heather Tanner, Jean Paul |
author_facet | Elmore, Amanda L. Salemi, Jason L. Kirby, Russell S. Sappenfield, William M. Lowry, Joseph Dixon, Ashley Lake-Burger, Heather Tanner, Jean Paul |
author_sort | Elmore, Amanda L. |
collection | PubMed |
description | OBJECTIVES: Studies have shown significant increases in the prevalence of maternal opioid use. Most prevalence estimates are based on unverified ICD-10-CM diagnoses. This study determined the accuracy of ICD-10-CM opioid-related diagnosis codes documented during delivery and examined potential associations between maternal/hospital characteristics and diagnosis with an opioid-related code. METHODS: To identify people with prenatal opioid use, we identified a sample of infants born during 2017–2018 in Florida with a NAS related diagnosis code (P96.1) and confirmatory NAS characteristics (N = 460). Delivery records were scanned for opioid-related diagnoses and prenatal opioid use was confirmed through record review. The accuracy of each opioid-related code was measured using positive predictive value (PPV) and sensitivity. Modified Poisson regression was used to calculate adjusted relative risks (aRR) and 95% confidence intervals (CI). RESULTS: We found the PPV was nearly 100% for all ICD-10-CM opioid-related codes (98.5–100%) and the sensitivity was 65.9%. Non-Hispanic Black mothers were 1.8 times more likely than non-Hispanic white mothers to have a missed opioid-related diagnosis at delivery (aRR:1.80, CI 1.14–2.84). Mothers who delivered at a teaching status hospital were less likely to have a missed opioid-related diagnosis (p < 0.05). CONCLUSIONS FOR PRACTICE: We observed high accuracy of maternal opioid-related diagnosis codes at delivery. However, our findings suggest that over 30% of mothers with opioid use may not be diagnosed with an opioid-related code at delivery, although their infant had a confirmed NAS diagnosis. This study provides information on the utility and accuracy of ICD-10-CM opioid-related codes at delivery among mothers of infants with NAS. |
format | Online Article Text |
id | pubmed-10692249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106922492023-12-03 Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida Elmore, Amanda L. Salemi, Jason L. Kirby, Russell S. Sappenfield, William M. Lowry, Joseph Dixon, Ashley Lake-Burger, Heather Tanner, Jean Paul Matern Child Health J Brief Report OBJECTIVES: Studies have shown significant increases in the prevalence of maternal opioid use. Most prevalence estimates are based on unverified ICD-10-CM diagnoses. This study determined the accuracy of ICD-10-CM opioid-related diagnosis codes documented during delivery and examined potential associations between maternal/hospital characteristics and diagnosis with an opioid-related code. METHODS: To identify people with prenatal opioid use, we identified a sample of infants born during 2017–2018 in Florida with a NAS related diagnosis code (P96.1) and confirmatory NAS characteristics (N = 460). Delivery records were scanned for opioid-related diagnoses and prenatal opioid use was confirmed through record review. The accuracy of each opioid-related code was measured using positive predictive value (PPV) and sensitivity. Modified Poisson regression was used to calculate adjusted relative risks (aRR) and 95% confidence intervals (CI). RESULTS: We found the PPV was nearly 100% for all ICD-10-CM opioid-related codes (98.5–100%) and the sensitivity was 65.9%. Non-Hispanic Black mothers were 1.8 times more likely than non-Hispanic white mothers to have a missed opioid-related diagnosis at delivery (aRR:1.80, CI 1.14–2.84). Mothers who delivered at a teaching status hospital were less likely to have a missed opioid-related diagnosis (p < 0.05). CONCLUSIONS FOR PRACTICE: We observed high accuracy of maternal opioid-related diagnosis codes at delivery. However, our findings suggest that over 30% of mothers with opioid use may not be diagnosed with an opioid-related code at delivery, although their infant had a confirmed NAS diagnosis. This study provides information on the utility and accuracy of ICD-10-CM opioid-related codes at delivery among mothers of infants with NAS. Springer US 2023-05-18 2023 /pmc/articles/PMC10692249/ /pubmed/37199857 http://dx.doi.org/10.1007/s10995-023-03669-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Brief Report Elmore, Amanda L. Salemi, Jason L. Kirby, Russell S. Sappenfield, William M. Lowry, Joseph Dixon, Ashley Lake-Burger, Heather Tanner, Jean Paul Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida |
title | Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida |
title_full | Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida |
title_fullStr | Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida |
title_full_unstemmed | Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida |
title_short | Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida |
title_sort | evaluation of administrative data for identifying maternal opioid use at delivery in florida |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692249/ https://www.ncbi.nlm.nih.gov/pubmed/37199857 http://dx.doi.org/10.1007/s10995-023-03669-6 |
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