ArticleHealth expectations : an international journal of public participation in health care and health policy2022
The development and utility of a multicriteria patient decision aid for people contemplating treatment for osteoarthritis.
Article in Health expectations : an international journal of public participation in health care and health policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient decision aids in breast surgery and breast reconstruction reduce decisional conflict: a systematic review and meta-analysis.Breast cancer research and treatment · 2025Pooled it
- Shared decision-making and patient decision aids in knee osteoarthritis: a scoping review.Knee surgery & related research · 2026Review
- Implementation of clinical decision support tools for treatment selection in knee osteoarthritis: a scoping review.Therapeutic advances in musculoskeletal disease · 2026Review
- Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review.BMC medical informatics and decision making · 2025Article
- The development and utility of a multicriteria patient decision aid for people contemplating treatment for osteoarthritis.Health expectations : an international journal of public participation in health care and health policy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere are a range of treatment options for osteoarthritis (OA) of the knee and hip, each with a unique profile of risks and benefits. Patient decision aids can help incorporate patient preferences in treatment decision-making. The aim of this study was to develop and test the utility of a patient decision aid for OA that was developed using a multicriteria decision analytic framework.
methodsPeople contemplating treatment for OA who had accessed the website myjointpain.org.au were invited to participate in the study by using the online patient decision aid. Two forms of the patient decision aid were created: A shorter form and a longer form, which allowed greater customization that was offered to respondents after they had completed the shorter form. Respondents also completed questions asking about their experience using the patient decision aid.
resultsA total of 625 self-selected respondents completed the short-form and 180 completed the long-form. Across both forms, serious side effects, pain and function were rated as the most important treatment outcomes. Most respondents (64%) who completed the longer form reported that using the tool was a positive experience, 38% reported that using the tool had changed their mind and 48% said that using the tool would improve the quality of their decision-making.
conclusionsOverall, the findings suggest that this patient decision aid may be of use to a substantial number of people in facilitating appropriate treatment decision-making. PATIENT OR PUBLIC CONTRIBUTION: Service users of myjointpain.org.au were involved through their participation in the study, and their feedback will guide the development of future iterations of the tool.
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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.