Evidence map›Paper›PMID 41104981›Full record

ArticleACR open rheumatology2025

Agreement Between Self-Reported Antirheumatic Medications and Pharmaceutical Claims in an Australian Inflammatory Arthritis Cohort.

Tom Lynch, Claire Barrett, Rachel Black, Rachelle Buchbinder, Graeme Carroll, Vibhasha Chand, Catherine L Hill, Marissa Lassere, Sue Lester, Oscar Russell and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACR open rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Tom LynchSydney Musculoskeletal Health, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District and Florance and Cope Professorial Department of Rheumatology, Royal North Shore Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6727-6912
Claire BarrettDepartment of Rheumatology, Redcliffe Hospital, Redcliffe, Queensland, Australia, and Department of Medicine, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-0362-0382
Rachel BlackRheumatology Unit, The Queen Elizabeth Hospital and Discipline of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia, and Rheumatology Research Group, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.ORCID https://orcid.org/0000-0001-6600-7430
Rachelle BuchbinderMusculoskeletal Health and Wiser Health Care Units, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-0597-0933
Graeme CarrollArthroCare, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0002-2324-2227
Vibhasha ChandMusculoskeletal Health and Wiser Health Care Units, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Catherine L HillRheumatology Unit, The Queen Elizabeth Hospital and Discipline of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia, and Rheumatology Research Group, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.ORCID https://orcid.org/0000-0001-8289-4922
Marissa LassereDepartment of Rheumatology, St George Hospital and Department of Medicine, University of New South Wales School of Population Health, Sydney, New South Wales, Australia.
Sue LesterRheumatology Unit, The Queen Elizabeth Hospital and Discipline of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia, and Rheumatology Research Group, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.ORCID https://orcid.org/0000-0003-3013-2701
Oscar RussellRheumatology Unit, The Queen Elizabeth Hospital and Discipline of Medicine, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia, and Rheumatology Research Group, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.ORCID https://orcid.org/0000-0002-7134-6362
Premarani SinnathuraiSydney Musculoskeletal Health, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District and Florance and Cope Professorial Department of Rheumatology, Royal North Shore Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8142-1274
Lyn MarchSydney Musculoskeletal Health, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District and Florance and Cope Professorial Department of Rheumatology, Royal North Shore Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-1736-8111

Funding

Australian GovernmentCLEARbridge FoundationNational Health and Medical Research Council APP2006579
6 · The paper itself

Abstract

objectiveTo assess agreement between prescription claims data and self-reported medication use via longitudinal questionnaires in the Australian Rheumatology Association Database inflammatory arthritis cohort and to identify predictors of discordant self-reports.

methodsAgreement was determined between longitudinal questionnaire self-reports (2012-2023) of disease-modifying antirheumatic drug (DMARD), glucocorticoid, anti-inflammatory, and analgesic use and Australian reference standard prescription medication dispensing data (Pharmaceutical Benefits Scheme) using Cohen's kappa, sensitivity, positive predictive value (PPV), and negative predictive value (NPV). Analyses were repeated using four look-back windows of dispensing data (1, 3, 6, and 12 months) before each questionnaire to characterize variations in agreement metrics at the individual medication level. Predictors of discordant self-reports were explored using multivariable logistic regression.

resultsIn our study population (N = 3,407, 67% female, 93.7% White, 64.4% with rheumatoid arthritis, 18.5% with psoriatic arthritis, 14.6% with ankylosing spondylitis, 2.6% with juvenile idiopathic arthritis), agreement with prescription claims data was substantial to high for DMARDs (κ 0.67-0.95, sensitivity 0.69-0.96, PPV 0.64-0.96, NPV 0.9-1), substantial for prescription-only nonopioid analgesics and oral prednisolone/prednisone (κ 0.66-0.80, sensitivity 0.65-0.88, PPV 0.68-0.77, NPV 0.93-1), and moderate to substantial for prescription-only opioid analgesics (κ 0.48-0.7, sensitivity 0.57-0.74, PPV 0.36-0.69, NPV 0.94-1). A 3-month look-back window optimized agreement for most medications, whereas 6- and 12-month windows further improved agreement for specific drugs. No consistent predictors of discordant self-reports were identified, though greater self-rated disability severity and poorer overall health showed the most consistent associations with discordance.

conclusionAgreement between self-reported and pharmaceutical claims data was moderate to high. Poorer overall health and disability may impact accuracy of medication self-report.

Identifiers

PMID41104981
PMCPMC12532489

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.