ArticleArthritis care & research2014
Understanding preferences for disease-modifying drugs in osteoarthritis.
Article in Arthritis care & research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled 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.
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.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Understanding Patient Preferences for Medication Process Attributes: A Systematic Literature Review.The patient · 2026Pooled it
- Discrete Choice Experiments in Health Economics: Past, Present and Future.PharmacoEconomics · 2019Pooled it
- Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.PharmacoEconomics · 2018Pooled it
- Preferences for Posttraumatic Osteoarthritis Prevention Strategies in Individuals With Anterior Cruciate Ligament Injury.Arthritis care & research · 2026Article
- Patient Perceptions of Medication Therapy for Prevention of Posttraumatic Osteoarthritis Following Anterior Cruciate Ligament Injury: A Qualitative Content Analysis.Arthritis care & research · 2025Article
- The Role of Web-Based Adaptive Choice-Based Conjoint Analysis Technology in Eliciting Patients' Preferences for Osteoarthritis Treatment.International journal of environmental research and public health · 2023Article
- Concern about addiction is associated with lower quality of life in patients with osteoarthritis: an exploratory, real-world data analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Systematic Review of Studies Using Conjoint Analysis Techniques to Investigate Patients' Preferences Regarding Osteoarthritis Treatment.Patient preference and adherence · 2021Review
- Stakeholders' preferences for osteoarthritis interventions in health services: A cross-sectional study using multi-criteria decision analysis.Osteoarthritis and cartilage open · 2020Article
- Patients' Preferences Regarding Osteoarthritis Medications: An Adaptive Choice-Based Conjoint Analysis Study.Patient preference and adherence · 2020Article
- Patients' preferences for osteoarthritis treatment: the value of stated-preference studies.Aging clinical and experimental research · 2019Article
- Engaging patients and caregivers in prioritizing symptoms impacting quality of life for Duchenne and Becker muscular dystrophy.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Article
- Preference phenotypes to facilitate shared decision-making in rheumatoid arthritis.Annals of the rheumatic diseases · 2018Article
- Patient Preferences Regarding Surgical Interventions for Knee Osteoarthritis.Clinical medicine insights. Arthritis and musculoskeletal disorders · 2017Article
- Relationship Between Knee Pain and Patient Preferences for Joint Replacement: Health Care Access Matters.Arthritis care & research · 2017Article
- The development of PubMed search strategies for patient preferences for treatment outcomes.BMC medical research methodology · 2016Article
- Variation in Treatment Priorities for Chronic Hepatitis C: A Latent Class Analysis.The patient · 2016Article
- Comparison of benefit-risk preferences of patients and physicians regarding cyclooxygenase-2 inhibitors using discrete choice experiments.Patient preference and adherence · 2016Article
- Osteoarthritis year in review 2015: clinical.Osteoarthritis and cartilage · 2016Review
- Evolution of Pediatric Chronic Disease Treatment Decisions: A Qualitative, Longitudinal View of Parents' Decision-Making Process.Medical decision making : an international journal of the Society for Medical Decision Making · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveNumerous disease-modifying drugs for osteoarthritis (DMOADs) are under investigation. However, patients' preferences for drugs to prevent progression of OA are not known. The objective of this study was to quantify patient preferences for potential DMOADs.
methodsWe administered a conjoint analysis survey to 304 patients attending outpatient general medicine and specialty clinics. All patients seated in the waiting rooms were asked if they would participate in a survey to elicit opinions about arthritis treatments. We performed simulations to estimate preferences for 4 options to prevent worsening of knee OA: best case (pill, highest benefit, lowest risk, lowest cost), worst case (infusion, lowest benefit, highest risk, highest cost), moderate subcutaneous injection (injection, mid-level benefit, mid-level risk, mid-level cost), and moderate infusion (same as subcutaneous injection except administered by infusion).
resultsSubjects' median age was 57 years; 55% were women and 76% were white. Segmentation analyses revealed 4 patterns of preferences. A minority (5%) did not want to perform subcutaneous injections and would only consider DMOADs under the best-case scenario. Approximately 20% were risk sensitive and were willing to take DMOADs under the best-case scenario, but would start rejecting these medications as risk increased. A significant number rejected DMOADs under all conditions (16.4%); however, the largest segment (59.2%) had a strong preference for DMOADs across all scenarios.
conclusionOur results suggest that a significant percentage of a nonselected outpatient population might be willing to accept at least a moderate degree of risk in order to prevent worsening knee OA.
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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.