Ontology highlight
ABSTRACT: 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
SUBMITTER: Sears JM
PROVIDER: S-EPMC7839645 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature