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Risk markers for fatal and non-fatal prescription drug overdose: a meta-analysis

Supporting Files


Details

  • Alternative Title:
    Inj Epidemiol
  • Personal Author:
  • Description:
    Background

    Drug overdose is a public health crisis in the United States, due in part to the unintended consequences of increases in prescribing of opioid analgesics. Many clinicians evaluate risk markers for opioid-related harms when prescribing opioids for chronic pain; however, more data on predictive risk markers are needed. Risk markers are attributes (modifiable and non-modifiable) that are associated with increased probability of an outcome. This review aims to identify risk markers associated with fatal and non-fatal prescription drug overdose by synthesizing findings in the existing peer-reviewed and grey literature. Eligible cohort, case-control, cross-sectional, and case-cohort studies were reviewed and data were extracted for qualitative and quantitative synthesis.

    Findings

    Summary odds ratios (SOR) were estimated from 29 studies for six risk markers: sex, age, race, psychiatric disorders, substance use disorder (SUD), and urban/rural residence. Heterogeneity was assessed and effect estimates were stratified by study characteristics. Of the six risk markers identified, SUD had the strongest association with drug overdose death (SOR = 5.24, 95% confidence interval (CI) = 3.53 - 7.76), followed by psychiatric disorders (SOR = 3.94, 95% CI = 3.09 - 5.01), white race (SOR = 2.28, 95% CI = 1.93 - 2.70), the 35-44 year age group relative to the 25-34 year reference group (SOR = 1.52, 95% CI = 1.31 - 1.76), and male sex (SOR = 1.33, 95% CI = 1.17 - 1.51).

    Conclusions

    This review highlights fatal and non-fatal prescription drug risk markers most frequently assessed in peer-reviewed and grey literature. There is a need to better understand modifiable risk markers and underlying reasons for drug misuse in order to inform interventions that may prevent future drug overdoses.

  • Subjects:
  • Source:
    Inj Epidemiol. 4.
  • Pubmed ID:
    28762157
  • Pubmed Central ID:
    PMC5545182
  • Document Type:
  • Funding:
  • Volume:
    4
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:5fae37bce686cad8562e9ef1e3bad6bb52aebc43820a2e69bfa0f0e6c3cfe8b5
  • Download URL:
  • File Type:
    Filetype[PDF - 1.37 MB ]
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