ReviewPatient preference and adherence2021
Systematic Review of Studies Using Conjoint Analysis Techniques to Investigate Patients' Preferences Regarding Osteoarthritis Treatment.
Review in Patient preference and adherence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Sustainability in large language model supply chains-insights and recommendations using analysis of utility for affecting factors.Scientific reports · 2025Article
- Patterns of pain medication usage and self-reported pain in older Irish adults with osteoarthritis: A latent class analysis of data from the Irish Longitudinal Study on Ageing.BMC musculoskeletal disorders · 2024Article
- Exploring patient treatment decision making for osteoarthritis in the UAE: a cross-sectional adaptive choice-based conjoint study.BMC public health · 2023Article
- Using a discrete choice experiment to elicit patients' preferences and willingness-to-pay for knee osteoarthritis treatments in Thailand.Scientific reports · 2023Article
- Chondroitin sulfate and glucosamine combination in patients with knee and hip osteoarthritis: A long-term observational study in Russia.World journal of orthopedics · 2023Article
- 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
- Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review.The patient · 2022Article
- Surpass Evolve Flow Diverter for the Treatment of Intracranial Aneurysm: A Systematic Review.Brain sciences · 2022Review
- Conjoint Analysis: A Research Method to Study Patients' Preferences and Personalize Care.Journal of personalized medicine · 2022Article
- Stem Cells in Autologous Microfragmented Adipose Tissue: Current Perspectives in Osteoarthritis Disease.International journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of conjoint analysis (CA) to elicit patients' preferences for osteoarthritis (OA) treatment has the potential to contribute to tailoring treatments and enhancing patients' compliance and adherence. This review's main aim was to identify and summarise the evidence that used conjoint analysis techniques to quantify patient preferences for OA treatments.
methodsA comprehensive search strategy was conducted using electronic databases and hand reference checks. Databases were searched from their inception until 10th June 2019. All OA and CA related terms were used to conduct the search. The authors reviewed the papers and used the International Society of Pharmacoeconomics and Outcomes Research (ISPOR) checklist to assess the quality of the included studies.
resultsThe search identified 534 records. Sixteen records were selected for full-text review and quality assessment and all were included in the narrative data synthesis. All included studies suggested that the severity of symptoms influenced the patients' preference for OA treatment. All included studies recognised CA as a useful method to investigate patients' preferences concerning OA treatment.
conclusionPatients preference for OA treatment is driven by the severity of patients' symptoms and the desire to avoid treatment side effects and CA is a useful tool to investigate patients' preferences for OA treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.