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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6728962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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