Evidence map›Paper›PMID 37142474›Full record

ArticleResearch in social & administrative pharmacy : RSAP2023

Mapping prescription drug monitoring program data to self-report measures of non-medical prescription opioid use in community pharmacy settings.

Elizabeth Charron, Jennifer H Brooks, Keegan T Peterson, Olusegun G Akinwolere, T Winhusen, Gerald Cochran

Abstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Elizabeth CharronHudson College of Public Health, University of Oklahoma Health Sciences Center, Schusterman Center, Tulsa OK, USA; Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA) Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address: elizabeth-charron@ouhsc.edu.
Jennifer H BrooksChildren's National Hospital, Washington, DC, USA; Friends Research Institute, Baltimore, MD, USA.
Keegan T PetersonDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Olusegun G AkinwolereFriends Research Institute, Baltimore, MD, USA.
T WinhusenDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Center for Addiction Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Gerald CochranProgram for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA) Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA.

Funding

The Ohio Valley Node of the Clinical Trials Network (CTN-0153)UG1DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI T John WINHUSEN · 2015 to 2026
$42.5M
Greater Intermountain Node (CTN-0151)UG1DA049444 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gerald T. Cochran, Adam Joseph Gordon · 2019 to 2026
$16.8M
NIDA NIH HHS UG1 DA013732NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

backgroundCommunity pharmacists are well-positioned to identify patients engaged in non-medical prescription opioid use (NMPOU) through Prescription Drug Monitoring Program (PDMP) databases. Integrating patient-reported outcomes with PDMP data may improve the interpretability of PDMP information to support clinical decision-making.

objectiveThis study linked patient-reported clinical measures of substance use with PDMP data to examine relationships between average daily opioid dose in morphine milligram equivalents (MME) and visits to multiple pharmacies/prescribers with self-reported NMPOU.

methodsData from a cross-sectional health assessment given to patients aged ≥18 years filling opioid prescriptions were linked to PDMP records. NMPOU in the past three months was assessed on a continuous scale (range 0-39) using an adapted version of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). PDMP measures included average daily MME and number of distinct pharmacies/prescribers visited in the past 180 days. Univariable and multivariable zero-inflated negative binomial models estimated associations between PDMP measures and any NMPOU and severity of use.

resultsThe sample included 1421 participants. In multivariable models adjusted for sociodemographic, mental health, and physical health characteristics, any NMPOU was associated with higher average daily MME (adjusted OR = 1.22, 95% CI = 1.05-1.39) and number of distinct prescribers visited (adjusted OR = 1.15, 95% CI = 1.01-1.30). Higher average daily MME (adjusted mean ratio (MR) = 1.12, 95% CI = 1.08-1.15), number of distinct pharmacies visited (adjusted MR = 1.11, 95% CI = 1.04-1.18), and number of distinct prescribers visited (adjusted MR = 1.07, 95% CI = 1.02-1.11) were associated with increased NMPOU severity.

conclusionsWe observed significant, positive associations between average daily MME and visits to multiple pharmacies/prescribers with any NMPOU and severity of use. This study demonstrates self-report clinical measures of substance use can be cross-walked to PDMP data and translated into clinically interpretable information.

Indexed as

Opioid-Related DisordersPharmaciesPrescription Drug MisusePrescription Drug Monitoring ProgramsAdolescentAdultAnalgesics, OpioidCross-Sectional StudiesEndrinHumansPractice Patterns, Physicians'PrescriptionsSelf ReportAnalgesics, OpioidEndrinMMECommunity pharmacyNon-medical prescription opioid useOpioidsPrescription opioidsScreeningSubstance abuse

Identifiers

PMID37142474
PMCPMC10523937

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.