Individual level predictive models for management of postoperative pain
Use claims data to gain an understanding of opioid use and prescription patterns across the community.
This project examines opioids as a first-line treatment for postoperative pain management, and whether opioid exposure during and/or after surgery is a common gateway to addiction.
Researchers believe patterns of opioid use are likely associated with patient characteristics, patient history, and patterns of prescription across practices. Health Management System (HMS) is interested in taking advantage of linked claims data to gain a deep understanding into all these various facets of opioid use, prescription, and treatment.
Findings garnered from this work will allow researchers to use analytic modelling to determine the characteristics of successful treatment, which in turn can help inform the development of evidence-based treatments.
- Refereed Journal ArticlePublished 6th December 2022Changes in postoperative opioid prescribing across three diverse healthcare systems, 2010-2020
- Refereed Journal ArticlePublished 25th August 2022Prescription quantity and duration predict progression from acute to chronic opioid use in opioid-naïve Medicaid patients