Impact of a Graduated Approach on Opioid Initiation and Loss of Earnings Following Workplace Injury: A Time Series Analysis

Risk of opioid-related harms by occupation within a large cohort of formerly injured workers in Ontario, Canada: findings from the Occupational Disease Surveillance System

OBJECTIVE

Working-age individuals have been disproportionately affected by the opioid crisis, prompting interest in the potential role of occupation as a contributor. This study aimed to estimate the risk of opioid-related poisonings and mental and behavioural disorders by occupation and industry within a cohort of 1.7 million formerly injured workers.

METHODS

Workers were identified in the Occupational Disease Surveillance System, a system linking workers' compensation data (1983-2019) to emergency department and hospitalisation records (2006-2020) in Ontario, Canada. Cox proportional hazards models were used to estimate HRs and 95% CIs for hospital encounters for opioid-related poisonings and mental and behavioural disorders by occupation and industry compared with all other workers, adjusted for age, sex and birth year.

RESULTS

In total, 13 702 opioid-related poisoning (p) events (n=10 064 workers) and 19 629 opioid-related mental and behavioural (mb) disorder events (n=11 755 workers) were observed. Elevated risks were identified among workers in forestry and logging (HRp=1.45, 95% CI 1.09 to 1.94; HRmb=1.70, 95% CI 1.34 to 2.16); processing (minerals, metals, clay, chemical) (HRp=1.27, 95% CI 1.14 to 1.42; HRmb=1.26, 95% CI 1.14 to 1.39); processing (food, wood, textile) (HRp=1.12, 95% CI 1.01 to 1.24; HRmb=1.19, 95% CI 1.09 to 1.31); machining (HRp=1.13, 95% CI 1.04 to 1.21; HRmb=1.17, 95% CI 1.09 to 1.25); construction trades (HRp=1.57, 95% CI 1.48 to 1.67; HRmb=1.59, 95% CI 1.51 to 1.68); materials handling (HRp=1.32, 95% CI 1.22 to 1.43; HRmb=1.22, 95% CI 1.13 to 1.31); mining and quarrying (HRmb=1.68, 95% CI 1.34 to 2.11); and transport equipment operating occupations (HRp=1.18, 95% CI 1.09 to 1.27). Elevated risks were observed among select workers in service, sales, clerical and health. Findings by industry were similar.

CONCLUSIONS

Results provide additional evidence that opioid-related harms cluster among certain occupational groups. Findings can be used to strategically target prevention and harm reduction activities in the workplace.

Changes in early high-risk opioid prescribing practices after policy interventions in Washington State

OBJECTIVE

To test associations between several opioid prescribing policy interventions and changes in early (acute/subacute) high-risk opioid prescribing practices.

DATA SOURCES

Population-based workers' compensation pharmacy billing and claims data, Washington State Department of Labor and Industries (January 2008-June 2015).

STUDY DESIGN

We used interrupted time series analysis to test associations between three policy intervention timepoints and monthly proportions of population-based measures of high-risk, low-risk, and any workers' compensation-related opioid prescribing. We also tested associations between the policy intervention timepoints and five high-risk opioid prescribing indicators among workers prescribed any opioids within 3 months after injury: (a) >7 cumulative (not necessarily consecutive) days' supply of opioids during the acute phase, (b) high-dose opioids, (c) concurrent sedatives, (d) chronic opioids, and (e) a composite high-risk opioid prescribing indicator.

PRINCIPAL FINDINGS

Within 3 months after injury, 9 percent of workers were exposed to high-risk and 12 percent to low-risk workers' compensation-related opioid prescribing; 79 percent filled no workers' compensation-related opioid prescription. Among workers prescribed any early (acute/subacute) opioids, the indicator for >7 days' supply of opioids during the acute phase was present for 30 percent, high-dose opioids for 18 percent, concurrent sedatives for 3 percent, and chronic opioids for 2 percent. Beyond a general shift toward more infrequent and lower-risk workers' compensation-related opioid prescribing, each policy intervention timepoint was significantly associated with reductions in specific acute/subacute high-risk opioid prescribing indicators; each of the four specific high-risk opioid prescribing indicators had significant reductions associated with at least one policy.

CONCLUSIONS

Several state-level opioid prescribing policies were significantly associated with safer workers' compensation-related opioid prescribing practices during the first 3 months after injury (acute/subacute phase), which should in turn reduce transition to chronic opioids and associated negative health outcomes.