Identification of patients on chronic prescription opioids at risk for opioid use disorder using pharmacy claims data.

Autor: Jantzen A; Department of Pharmacy, Regions Hospital, St. Paul, Minnesota, USA., Hall ST; Department of Pharmacy, Mayo Clinic Health System - La Crosse, La Crosse, Wisconsin, USA., Lai B; Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA., Cunningham JL; Department of Pharmacy, Mayo Clinic, Rochester, Minnesota, USA., Odell L; Supply Chain Management, Mayo Clinic, Rochester, Minnesota, USA.
Jazyk: angličtina
Zdroj: Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management [J Healthc Risk Manag] 2024 Nov; Vol. 44 (2), pp. 14-19. Date of Electronic Publication: 2024 Oct 17.
DOI: 10.1002/jhrm.21585
Abstrakt: Using pharmacy claims data from a single commercial health plan to identify opportunities for opioid use disorder (OUD) focused screening and interventions communicated via targeted prescriber messaging. Participants included members ≥18 years using more than 90 morphine milligram equivalents (MMED) daily based on all opioid claims, had >1 paid claim for an opioid product, and had ≥90 days of total opioid therapy. Members were excluded with ≥1 claims for an oral chemotherapy agent (except methotrexate). Intervention was completed with a secure communication to the primary outpatient opioid prescriber that included resources for diagnosis, treatment, and best practices for opioid prescribing. The main outcome measure was any documented change to opioid use following the intervention. Seven hundred forty-five members were identified; a subset (n = 20) was further assessed, and all had identified OUD risk factors; providers were subsequently sent a communication. Sixteen providers acknowledged receipt and 11 patients (55%) had at least one documented intervention following communication receipt. Provision of targeted, evidence-based recommendations to providers for patients identified to be at risk of OUD from pharmacy claims data can result in increased recognition and intervention. Future efforts to explore feasibility of provider education detailing efforts and continued evaluation of efficacy are needed.
(© 2024 American Society for Health Care Risk Management.)
Databáze: MEDLINE
Externí odkaz: