Evidence map›Paper›PMID 41355709›Full record

ArticlePharmacoepidemiology and drug safety2025

Measuring Exposure to Opioids Using Self-Reported Medication Use Data Versus General Practitioner Prescription Records in the UK Biobank Study.

Allison Domingues, Yue Zhai, Marie-Odile Parat, Vivian Viallon, Louisa Degenhardt, Sallie-Anne Pearson, Jifang Zhou, Mahdi Sheikh

Abstract readComparative Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2025. 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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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Allison DominguesGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
Yue ZhaiNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
Marie-Odile ParatSchool of Pharmacy and Pharmaceutical Sciences, University of Queensland, Brisbane, Australia.
Vivian ViallonNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Sallie-Anne PearsonSchool of Population Health, University of New South Wales Sydney, Sydney, New South Wales, Australia.
Jifang ZhouGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
Mahdi SheikhGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.ORCID 0000-0003-3972-7824

Funding

The Opioid Cohort Consortium (OPICO) to investigate the effects of using opioids on cancer riskU01CA289226 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI Mahdi SHEIKH · 2024 to 2026
$1.7M
French National Cancer InstituteInstitut National Du CancerInstitut pour la Recherche en Santé Publique INCa/IReSP 16648NCI NIH HHS U01 CA289226NIH HHS U01CA289226World Health Organization 001
6 · The paper itself

Abstract

purposeThe ongoing global increase in opioid use necessitates studies examining long-term health impacts. Prospective cohorts frequently rely on self-reported medication use data which may be subject to several types of bias compared to more objective measurements. We evaluated the agreement between two opioid exposure measures in the UK Biobank (UKBB)-self-reported regular use and prescription-based indicators using linked general practitioner (GP) records.

methodsOur analysis included 171 813 UKBB participants with linked prescription records. At baseline, participants reported medications taken regularly (weekly, monthly, every 3 months). We assessed agreement between self-reported regular opioid use and opioid prescription records prior to enrollment across various look-back periods and prescription counts. Logistic regressions assessed factors associated with omission and commission.

resultsAgreement was moderate to substantial between self-reported opioid use and prescription records. The strongest agreement was observed for ≥ 3 prescriptions in the past 365 days (Cohen's Kappa = 0.66). Subgroup analysis showed better agreement for analgesic opioids (Kappa = 0.43-0.63) than for non-analgesic opioids (Kappa = 0.25-0.34). Omission odds were highest with increasing months since the last record and lowest for individuals with chronic pain. Commission odds were highest for individuals with chronic pain and lowest in married/partnered individuals.

conclusionsThis analysis indicates that self-reported regular opioid use in the UKBB could be a valid indicator for identifying individuals with repeated prescriptions for analgesic opioids in the past year, while also capturing opioid use from non-linked sources. However, agreement was low for non-analgesic opioids, suggesting limited utility of self-report for capturing use of these medications.

Indexed as

Analgesics, OpioidDrug PrescriptionsGeneral PractitionersPractice Patterns, Physicians'Self ReportAdultAgedBiological Specimen BanksFemaleHumansMaleMiddle AgedProspective StudiesUK BiobankUnited KingdomAnalgesics, Opioidagreementanalgesicsopioidsreliabilityvalidity

Identifiers

PMID41355709
PMCPMC12833912

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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.