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Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis

BACKGROUND: Pharmaceutical opioid analgesic use continues to rise and is associated with potentially preventable harm including hospitalisation for adverse drug reactions (ADRs). Spatial detection of opioid-related ADRs can inform future intervention strategies. We aimed to investigate the geographi...

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Autores principales: Du, Wei, Chong, Shanley, McLachlan, Andrew J., Luo, Lan, Glasgow, Nicholas, Gnjidic, Danijela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728962/
https://www.ncbi.nlm.nih.gov/pubmed/31488223
http://dx.doi.org/10.1186/s40360-019-0333-7
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author Du, Wei
Chong, Shanley
McLachlan, Andrew J.
Luo, Lan
Glasgow, Nicholas
Gnjidic, Danijela
author_facet Du, Wei
Chong, Shanley
McLachlan, Andrew J.
Luo, Lan
Glasgow, Nicholas
Gnjidic, Danijela
author_sort Du, Wei
collection PubMed
description BACKGROUND: Pharmaceutical opioid analgesic use continues to rise and is associated with potentially preventable harm including hospitalisation for adverse drug reactions (ADRs). Spatial detection of opioid-related ADRs can inform future intervention strategies. We aimed to investigate the geographical disparity in hospitalised ADRs related to opioid analgesic use, and to evaluate the difference in patient characteristics between areas inside and outside the geographic clusters. METHODS: We used the all-inclusive Admitted Patient Dataset for an Australian state (New South Wales, NSW) to identify patients admitted for opioid-related ADRs over a 10-year period (July 2004 to June 2014). A space-time analysis was conducted using Kulldroff’s scan statistics to identify statistically significant spatial clusters over time. Relative risk (RR) was computed with p-value based on Monte Carlo Simulation. Chi-square test was used to compare proportional difference in patient clustering. RESULTS: During the study period, we identified four statistically significant geographic clusters (RRs: 1.63–2.17) during 2004–08; and seven clusters (RRs: 1.23–1.69) during the period 2009–14. While identified high-risk clusters primarily covered areas with easier access to health services, those associated with socioeconomically disadvantaged areas and individuals with mental health disorders experienced more unmet healthcare needs for opioid analgesic safety than those from the rest of the State. Older people (≥65 years and over) accounted for 62.7% of the total study population and were more susceptible to opioid-related ADRs than younger people,. In the first five-year period the clusters included a greater proportion of people with cancer in contrast to the second five-year period in which there was a lesser proportion of people with cancer. CONCLUSIONS: These results suggest that there is significant spatial-temporal variation in opioid-related ADRs and future interventions should target vulnerable populations and high-risk geographical areas to improve safer use of pharmaceutical opioid analgesics.
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spelling pubmed-67289622019-09-12 Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis Du, Wei Chong, Shanley McLachlan, Andrew J. Luo, Lan Glasgow, Nicholas Gnjidic, Danijela BMC Pharmacol Toxicol Research Article BACKGROUND: Pharmaceutical opioid analgesic use continues to rise and is associated with potentially preventable harm including hospitalisation for adverse drug reactions (ADRs). Spatial detection of opioid-related ADRs can inform future intervention strategies. We aimed to investigate the geographical disparity in hospitalised ADRs related to opioid analgesic use, and to evaluate the difference in patient characteristics between areas inside and outside the geographic clusters. METHODS: We used the all-inclusive Admitted Patient Dataset for an Australian state (New South Wales, NSW) to identify patients admitted for opioid-related ADRs over a 10-year period (July 2004 to June 2014). A space-time analysis was conducted using Kulldroff’s scan statistics to identify statistically significant spatial clusters over time. Relative risk (RR) was computed with p-value based on Monte Carlo Simulation. Chi-square test was used to compare proportional difference in patient clustering. RESULTS: During the study period, we identified four statistically significant geographic clusters (RRs: 1.63–2.17) during 2004–08; and seven clusters (RRs: 1.23–1.69) during the period 2009–14. While identified high-risk clusters primarily covered areas with easier access to health services, those associated with socioeconomically disadvantaged areas and individuals with mental health disorders experienced more unmet healthcare needs for opioid analgesic safety than those from the rest of the State. Older people (≥65 years and over) accounted for 62.7% of the total study population and were more susceptible to opioid-related ADRs than younger people,. In the first five-year period the clusters included a greater proportion of people with cancer in contrast to the second five-year period in which there was a lesser proportion of people with cancer. CONCLUSIONS: These results suggest that there is significant spatial-temporal variation in opioid-related ADRs and future interventions should target vulnerable populations and high-risk geographical areas to improve safer use of pharmaceutical opioid analgesics. BioMed Central 2019-09-05 /pmc/articles/PMC6728962/ /pubmed/31488223 http://dx.doi.org/10.1186/s40360-019-0333-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Du, Wei
Chong, Shanley
McLachlan, Andrew J.
Luo, Lan
Glasgow, Nicholas
Gnjidic, Danijela
Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis
title Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis
title_full Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis
title_fullStr Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis
title_full_unstemmed Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis
title_short Adverse drug reactions due to opioid analgesic use in New South Wales, Australia: a spatial-temporal analysis
title_sort adverse drug reactions due to opioid analgesic use in new south wales, australia: a spatial-temporal analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728962/
https://www.ncbi.nlm.nih.gov/pubmed/31488223
http://dx.doi.org/10.1186/s40360-019-0333-7
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