Talk to the Veterans Crisis Line now
U.S. flag
An official website of the United States government

VA Health Systems Research

Go to the VA ORD website
Go to the QUERI website

HSR&D Citation Abstract

Search | Search by Center | Search by Source | Keywords in Title

Opioid prescribing patterns for acute pain.

Hadlandsmyth K, Mosher HJ, Bayman EO, Mares JG, Odom AS, Lund BC. Opioid prescribing patterns for acute pain. European journal of pain (London, England). 2022 Aug 1; 26(7):1523-1531.

Dimensions for VA is a web-based tool available to VA staff that enables detailed searches of published research and research projects.

If you have VA-Intranet access, click here for more information

VA staff not currently on the VA network can access Dimensions by registering for an account using their VA email address.
   Search Dimensions for VA for this citation
* Don't have VA-internal network access or a VA email address? Try searching the free-to-the-public version of Dimensions


PURPOSE: The current study aimed to identify patients presenting with acute pain who may be at risk for a complicated trajectory, via identifying clusters of early opioid prescribing patterns. METHODS: National Veterans Affairs administrative data were utilized to build a cohort of outpatients with acute pain presentations and no more than minimal opioid use in the prior year. Latent Class Analyses (LCAs) identified clusters of early opioid prescribing patterns. The risk of progression to long-term opioid use was contrasted between LCA clusters using log-binomial regression, adjusting for confounding variables. RESULTS: The 2018 cohort included N  =  191,283. Among the 27,890 who received an initial opioid prescription, LCA classes were identified using: first supply day, total days dispensed across 30?days, opioid type, dose and number of prescriptions across the first 30?days. In the three-class model: class 1 indicated an immediate, low-dose and brief supply; class 2 included delayed, low-dose and longer duration prescriptions and class 3 included delayed, high-dose and moderate duration prescriptions. Adjusted relative risk ratios for progression to long-term opioid use in the following year were 3.33 (95% CI: 2.71-4.10) for class 1 (absolute risk 1.1%); 7.76 (95% CI: 6.69-8.99) for class 2 (3.1%) and 6.81 (95% CI: 5.72-8.12) for class 3 (2.4%) compared to patients who did not receive an acute opioid prescription (0.3%). CONCLUSIONS: These clusters of acute opioid prescribing could facilitate the identification of patients who may benefit from enhanced pain care earlier in the pain trajectory and decrease future reliance on long-term opioid therapy.

Questions about the HSR website? Email the Web Team

Any health information on this website is strictly for informational purposes and is not intended as medical advice. It should not be used to diagnose or treat any condition.