Evidence map›Paper›PMID 40976970›Full record

ArticleBritish journal of clinical pharmacology2025

A scoping review of disease-modifying antirheumatic drug nonadherence in rheumatoid arthritis: Measurement, prevalence and implications for clinical practice.

Lauren Fraser, Nagham Ailabouni, Lisa Kalisch Ellett, Jiun Ming Tan, Anthea Freeman, Susanna M Proudman, Emily Reeve, Michael D Wiese

Abstract readScoping Review
In one paragraph

Article in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Lauren FraserUniversity of South Australia, Adelaide, South Australia.ORCID https://orcid.org/0000-0002-4527-9872
Nagham AilabouniUniversity of Queensland, Brisbane, Queensland, Australia.
Lisa Kalisch EllettUniversity of South Australia, Adelaide, South Australia.
Jiun Ming TanUniversity of South Australia, Adelaide, South Australia.
Anthea FreemanUniversity of South Australia, Adelaide, South Australia.
Susanna M ProudmanRoyal Adelaide Hospital, Adelaide, South Australia.
Emily ReeveMonash University, Melbourne, Victoria, Australia.
Michael D WieseUniversity of South Australia, Adelaide, South Australia.

Funding

National Health and Medical Research Council GNT1195460
6 · The paper itself

Abstract

aimsAdherence to disease-modifying antirheumatic drugs (DMARDs) has been associated with improved treatment outcomes, but how adherence is reported ranges between studies. We therefore aimed to determine how nonadherence to DMARDs used to treat rheumatoid arthritis (RA) has been measured and to report the nonadherence rate with each measure identified. Additionally, we aimed to explore what factors are associated with nonadherence.

methodsA scoping review was conducted in the following databases: Embase, Medline, Scopus and Cochrane, searching from 2000 up to 31 August 2022 using search terms related to 'adherence'; 'measures'; rheumatoid arthritis'; and 'medication'. Descriptive analyses were used to analyse and interpret the data according to the stated aims. We included 172 manuscripts that met the inclusion criteria and the median number of participants for each study was 249 (interquartile range 120-767). Measures of adherence included dispensing data, tablet counts, self-report and physician estimates, electronic monitors, questionnaires and blood assays.

resultsNonadherence was most commonly reported as a proportion and ranged from 1.5 to 100% for any DMARDs as a class, 0 to 95% for conventional synthetic DMARDs and 3 to 95% for biologic DMARDs. Increased disease activity, younger age and comorbidities were found in several studies to be associated with nonadherence, while there were inconsistent findings for sex, education, disease duration and other patient characteristics.

conclusionMuch variability exists in the reported prevalence of nonadherence in RA, in what measures are used to assess nonadherence, how nonadherence is reported and which patient characteristics are associated with nonadherence.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidFemaleHumansPrevalenceAntirheumatic Agentsadherencequality use of medicinesrheumatoid arthritis

Identifiers

PMID40976970
PMCPMC12648376

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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.