Evidence map›Paper›PMID 31488223›Full record

ArticleBMC pharmacology & toxicology2019

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

Wei Du, Shanley Chong, Andrew J McLachlan, Lan Luo, Nicholas Glasgow, Danijela Gnjidic

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Wei DuResearch School of Population Health, Australian National University, Building 63, Eggleston Road, Acton, ACT, 2601, Australia. wei.du@anu.edu.au.ORCID 0000-0003-3622-2265
Shanley ChongSouth Western Sydney Area Health Services, Sydney, Australia.
Andrew J McLachlanSydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Lan LuoResearch School of Population Health, Australian National University, Building 63, Eggleston Road, Acton, ACT, 2601, Australia.
Nicholas GlasgowResearch School of Population Health, Australian National University, Building 63, Eggleston Road, Acton, ACT, 2601, Australia.
Danijela GnjidicSydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmaceutical 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.

methodsWe 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.

resultsDuring 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.

conclusionsThese 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.

Indexed as

AdolescentAdultAgedAged, 80 and overAnalgesics, OpioidAustraliaFemaleHospitalizationHumansIncidenceMaleMiddle AgedNew South WalesOpioid-Related DisordersRisk FactorsSocioeconomic FactorsAnalgesics, OpioidAdverse drug reactionAgeingHealth servicesPharmaceutical opioid analgesics

Identifiers

PMID31488223
PMCPMC6728962

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.