ArticleClinical rheumatology2020
What do Australian patients with inflammatory arthritis value in treatment? A discrete choice experiment.
Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Pooled it
- Systematic review of quantitative preference studies of treatments for rheumatoid arthritis among patients and at-risk populations.Arthritis research & therapy · 2022Pooled it
- Severity or Incidence: Labeling Side-Effect Attributes in Discrete Choice Experiments.The patient · 2026Article
- Patients' Perspectives Regarding Ankylosing Spondylitis Treatment Administration Features: Evidence from Qualitative Interviews and a Multinational Quantitative Preference Survey.Rheumatology and therapy · 2026Article
- Understanding the experience, treatment preferences and goals of people living with chronic lymphocytic leukemia (CLL) in Australia.BMC cancer · 2024Article
- Article
- Dynamics of Patient-Based Benefit-Risk Assessment of Medicines in Chronic Diseases: A Systematic Review.Patient preference and adherence · 2022Review
- Understanding the Treatment Preferences of People Living with Schizophrenia in Australia; A Patient Value Mapping Study.Patient preference and adherence · 2022Article
- A Systematic Review of Discrete Choice Experiment Studies in Rheumatoid Arthritis Biological Medicines.Mediterranean journal of rheumatology · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
BACKGROUND AND
objectivesThe purpose of this study was to develop an understanding of treatment preferences in patients with inflammatory arthritis (IA) [rheumatoid arthritis (RA), ankylosing spondylitis (AS) and psoriatic arthritis (PsA)] focussing on treatment attributes that patients' value, their relative importance, and the risk-benefit trade-offs that characterise patients' choices around treatment.
methodsA discrete choice experiment (DCE) approach was used. Attributes of interest were clinical efficacy; slowing of disease progression; risk of mild-moderate side effects; risk of severe side effects; frequency of administration; real-world product evidence; management of related conditions; and availability of a patient support programme. Using data from the DCE component, a restricted latent class model (LCM) was estimated to determine discrete 'classes' of treatment preferences.
resultsIn this analysis, 206 participants were included (AS n = 59; PsA n = 62; RA n = 85). Two classes were identified. For 'class 1' (59.9%), the most important attributes (across all treatment modalities) were preventing disease progression, clinical efficacy and risk of mild-to-moderate side effects. For 'class 2' (40.1%), clinical and non-clinical attributes were important, and attribute importance depended on treatment modality. Patient demographic and treatment characteristics did not predict class membership.
conclusionFor most patients with IA, clinical efficacy, stopping disease progression and risks of mild-to-moderate side effects are important treatment attributes. Patients with prior biologic DMARD experience had greater preference for injection treatments. For a subset of patients, patient support programmes and the frequency of administration were important. Clinicians should be mindful of preferences when prescribing treatment to patients with IA.Key Points• Most patients consider clinical efficacy, stopping disease progression and the risk of mild-to-moderate side effects as important treatment attributes• Patients with prior biologic DMARD experience have greater preference for injection treatments.• For a subset of patients, patient support programmes, and the frequency of administration were important.• Clinicians should be mindful of preferences when prescribing treatment to patients with IA.
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Registered trials
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.