Relation Between Opioid-related Harms and Socioeconomic Inequalities in Ontario: a Population-based Descriptive Study
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Background: Negative health outcomes associated with the use of both prescribed and nonprescribed opioids are increasingly prevalent. We examined long-term trends in opioid-related harms in Ontario across a set of 6 indicators and the relation between harms and neighbourhood income in 2016.
Methods: We examined rates of neonatal abstinence syndrome, opioid poisoning (fatal and nonfatal) and nonpoisoning opioid-related events from 2003 to 2016 in Ontario using population-based health administrative databases. We conducted descriptive analyses for harm indicators across neighbourhood income quintiles in 2016 (2015 for death). We examined social inequalities in opioid-related harms on both relative (prevalence ratio) and absolute (potential rate reduction) scales.
Results: Rates of opioid-related harms increased dramatically between 2003 and 2016. In 2016, neonatal abstinence syndrome and opioid poisoning and nonpoisoning events showed a strong social gradient, with harm rates being lowest in higher-income neighbourhoods and highest in lower-income neighbourhoods. Prevalence ratios for the lowest-income neighbourhoods compared to the highest-income neighbourhoods ranged from 2.36 (95% confidence interval [CI] 2.15-2.58) for emergency department visits for opioid poisoning to 3.70 (95% CI 2.62-5.23) for neonatal abstinence syndrome. Potential rate reductions for opioid-related harms ranged from 34.8% (95% CI 29.1-40.1) to 49.9% (95% CI 36.7-60.5), which suggests that at least one-third of all harmful events could be prevented if all neighbourhoods had the same socioeconomic profile as the highest-income neighbourhoods.
Interpretation: Rates of opioid-related harms increased in Ontario between 2003 and 2016, and people in lower-income neighbourhoods experienced substantially higher rates of opioid-related harms than those in higher-income neighbourhoods. This finding can inform planning for opioid-related public health interventions with consideration of health equity.
Barbalat G, Reddy G, Franck N Global Health. 2023; 19(1):76.
PMID: 37845722 PMC: 10577998. DOI: 10.1186/s12992-023-00980-3.
Yucel S, Higgins C, Gupta K, Palm M Int J Drug Policy. 2023; 116:104032.
PMID: 37172439 PMC: 10130333. DOI: 10.1016/j.drugpo.2023.104032.
Alsabbagh M, Cooke M, Elliott S, Chang F, Shah N, Ghobrial M Health Promot Chronic Dis Prev Can. 2022; 42(6):229-237.
PMID: 35766912 PMC: 9388055. DOI: 10.24095/hpcdp.42.6.01.
Martignetti L, Sun W Cureus. 2022; 14(1):e21461.
PMID: 35223245 PMC: 8858082. DOI: 10.7759/cureus.21461.
Eisenberg M, McCourt A, Stuart E, Rutkow L, Tormohlen K, Fingerhood M PLoS One. 2021; 16(12):e0261115.
PMID: 34914779 PMC: 8675685. DOI: 10.1371/journal.pone.0261115.