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Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study
The misuse and abuse of opioids has become a serious public health threat in the United States. The state of California has been hit particularly hard by the opioid epidemic, with a noticeable increase in opioid-related fatalities and hospitalizations. This brief report paper aims to contribute to t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298226/ https://www.ncbi.nlm.nih.gov/pubmed/37372850 http://dx.doi.org/10.3390/healthcare11121732 |
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author | Lu, Hongxia Zheng, Jianwei Wang, Yun |
author_facet | Lu, Hongxia Zheng, Jianwei Wang, Yun |
author_sort | Lu, Hongxia |
collection | PubMed |
description | The misuse and abuse of opioids has become a serious public health threat in the United States. The state of California has been hit particularly hard by the opioid epidemic, with a noticeable increase in opioid-related fatalities and hospitalizations. This brief report paper aims to contribute to the growing literature by conducting a geospatial analysis of opioid dispensing patterns in California in 2021. The primary objective was to identify areas characterized by high-risk opioid dispending patterns and explore possible contributing factors. This retrospective study analyzed data from over 7 million records of opioid and benzodiazepine prescriptions dispensed by outpatient pharmacies in California in 2021. A series of generalized linear regression models was employed to assess the impact of neighborhood characteristics on opioid recipients and high-risk opioid dispensing. The study defined high-risk opioid dispensing behavior as: (1) multiple provider episodes, (2) overlapping opioid prescriptions for seven or more days, (3) overlapping opioid and benzodiazepine prescriptions for seven or more days, and (4) a high standardized dosage of opioid prescriptions per month. The study identified variables associated with high-risk opioid dispensing behaviors, including age, population density, income, and housing-related variables, as well as marital status and family-related variables. The study uncovered that there are noticeable disparities in opioid dispensing among different racial and ethnic groups within California. The findings indicated a correlation of high-risk dispensing indicators with certain demographic and socioeconomic factors. There was a substantial regional variation in opioid dispensing practices, with certain rural areas having higher rates of opioid prescriptions than urban areas. |
format | Online Article Text |
id | pubmed-10298226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102982262023-06-28 Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study Lu, Hongxia Zheng, Jianwei Wang, Yun Healthcare (Basel) Brief Report The misuse and abuse of opioids has become a serious public health threat in the United States. The state of California has been hit particularly hard by the opioid epidemic, with a noticeable increase in opioid-related fatalities and hospitalizations. This brief report paper aims to contribute to the growing literature by conducting a geospatial analysis of opioid dispensing patterns in California in 2021. The primary objective was to identify areas characterized by high-risk opioid dispending patterns and explore possible contributing factors. This retrospective study analyzed data from over 7 million records of opioid and benzodiazepine prescriptions dispensed by outpatient pharmacies in California in 2021. A series of generalized linear regression models was employed to assess the impact of neighborhood characteristics on opioid recipients and high-risk opioid dispensing. The study defined high-risk opioid dispensing behavior as: (1) multiple provider episodes, (2) overlapping opioid prescriptions for seven or more days, (3) overlapping opioid and benzodiazepine prescriptions for seven or more days, and (4) a high standardized dosage of opioid prescriptions per month. The study identified variables associated with high-risk opioid dispensing behaviors, including age, population density, income, and housing-related variables, as well as marital status and family-related variables. The study uncovered that there are noticeable disparities in opioid dispensing among different racial and ethnic groups within California. The findings indicated a correlation of high-risk dispensing indicators with certain demographic and socioeconomic factors. There was a substantial regional variation in opioid dispensing practices, with certain rural areas having higher rates of opioid prescriptions than urban areas. MDPI 2023-06-13 /pmc/articles/PMC10298226/ /pubmed/37372850 http://dx.doi.org/10.3390/healthcare11121732 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Brief Report Lu, Hongxia Zheng, Jianwei Wang, Yun Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study |
title | Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study |
title_full | Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study |
title_fullStr | Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study |
title_full_unstemmed | Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study |
title_short | Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study |
title_sort | geospatial analysis of opioid dispensing patterns in california: a 2021 real-world study |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298226/ https://www.ncbi.nlm.nih.gov/pubmed/37372850 http://dx.doi.org/10.3390/healthcare11121732 |
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