Evidence map›Paper›PMID 32939909›Full record

ArticlePharmacoepidemiology and drug safety2020

A comparison of trends in opioid dispensing patterns between Medicaid pharmacy claims and prescription drug monitoring program data.

Sanae El Ibrahimi, Sara Hallvik, Kirbee Johnston, Gillian Leichtling, Esther Choo, Daniel M Hartung

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sanae El IbrahimiDepartment of Research and Evaluation, Comagine Health, Portland, Oregon.ORCID 0000-0002-7825-5121
Sara HallvikDepartment of Research and Evaluation, Comagine Health, Portland, Oregon.ORCID 0000-0003-1501-9129
Kirbee JohnstonCollege of Pharmacy, Oregon State University, Corvallis, Oregon.ORCID 0000-0002-4292-7061
Gillian LeichtlingDepartment of Research and Evaluation, Comagine Health, Portland, Oregon.
Esther ChooCenter for Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland, Oregon.
Daniel M HartungCollege of Pharmacy, Oregon State University, Corvallis, Oregon.

Funding

Implementation, Outcomes, and Cost of a Novel Medicaid Policy to Reduce Opioids for Back PainR01DA044284 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI CHOO, ESTHER K · 2018 to 2022
$3.2M
ACL HHS U01CE002786CDC HHS U01CE002786NCIPC CDC HHS U01 CE002786NIDA NIH HHS 1R01DA044284-01A1NIDA NIH HHS R01 DA044284
6 · The paper itself

Abstract

purposePublic and private payers have implemented benefit limitations to reduce high-risk opioid prescriptions. The effect of these policies on the increase of out-pocket payment is unclear. To understand this gap, we compared the discrepancies in trends between opioid prescription fills vs claims among Medicaid beneficiaries.

methodsData from the Oregon Prescription Drug Monitoring Program (PDMP) and Oregon Medicaid administrative claims were used to identify Medicaid beneficiaries 18 years and older enrolled at least one full month from 2015 to 2017. Generalized linear models assessed the trends in the monthly rates of opioid PDMP prescription fills and pharmacy claims per 1000 eligible members. Rates by morphine equivalent dose (MED) tier (<50, 50-89, 90-120, >120 MED) and co-prescribed opioid and benzodiazepine were also assessed.

resultsDuring the study period, an average of 495 355 Medicaid members had 2 797 054 opioid PDMP fills and 2 472 155 opioid Medicaid pharmacy claims. Study participants had 15.4 (95% confidence interval [CI] 13.6 to 17.0; P < .001) more prescriptions per 1000 member per month in the PDMP data (114.1 [SD 7.4]) compared with the Medicaid claims data (98.7 [SD 7.9]). Similarly, there were 1.9 more co-occurring opioid/benzodiazepine prescriptions per 1000 members per month observed in the PDMP data than the Medicaid claims data (95% CI 1.7 to 2.1; P < .001). At each MED tier, the PDMP fills were consistently higher than the claims (P < .001).

conclusionsHigher rate of fills in the PDMP compared to pharmacy claims suggests that there may be an increasing trend of out-of-pocket payment among Medicaid beneficiaries.

Indexed as

Administrative Claims, HealthcareAnalgesics, OpioidBenzodiazepinesDrug PrescriptionsHealth ExpendituresHealth PolicyHumansLinear ModelsMedicaidOpioid EpidemicOregonPharmaceutical ServicesPrescription Drug MisusePrescription Drug Monitoring ProgramsUnited StatesAnalgesics, OpioidBenzodiazepinesopioid prescriptionsOregon Medicaidout-of-pocket paymentpharmacoepidemiologyprescription drug monitoring program

Identifiers

PMID32939909
PMCPMC8015255

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