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DOI 10.1002/jhrm.21585

Медицинская библиотека · Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management · 2024

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

Jantzen Aleesha, Hall Scott Thomas, Lai Benjamin, Cunningham Julie L, Odell Laura

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Аннотация

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.

Для цитирования: Jantzen Aleesha, Hall Scott Thomas, Lai Benjamin, Cunningham Julie L, Odell Laura. Identification of patients on chronic prescription opioids at risk for opioid use disorder using pharmacy claims data.. Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management. 2024. DOI: 10.1002/jhrm.21585.

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