ArticleHealth expectations : an international journal of public participation in health care and health policy2014
Elderly patients' experiences using adaptive conjoint analysis software as a decision aid for osteoarthritis of the knee.
Article in Health expectations : an international journal of public participation in health care and health policy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 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
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Individual Value Clarification Methods Based on Conjoint Analysis: A Systematic Review of Common Practice in Task Design, Statistical Analysis, and Presentation of Results.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Pooled it
- Discrete choice experiments in health economics: a review of the literature.PharmacoEconomics · 2014Pooled it
- Shared decision-making and patient decision aids in knee osteoarthritis: a scoping review.Knee surgery & related research · 2026Review
- Embedding a Choice Experiment in an Online Decision Aid or Tool: Scoping Review.Journal of medical Internet research · 2025Article
- Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review.BMC medical informatics and decision making · 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
- 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
- Methods to Assess Patient Preferences in Old Age Pharmacotherapy - A Systematic Review.Patient preference and adherence · 2020Review
- Patients' preferences for osteoarthritis treatment: the value of stated-preference studies.Aging clinical and experimental research · 2019Article
- Qualitative Development of a Discrete Choice Experiment for Physical Activity Interventions to Improve Knee Osteoarthritis.Archives of physical medicine and rehabilitation · 2017Article
- Medication Risk Communication in Rheumatology: Where Are We and Where Do We Go from Here?Current rheumatology reports · 2017Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundDecision making in knee osteoarthritis, with many treatment options, challenges patients and physicians alike. Unfortunately, physicians cannot describe in detail each treatment's benefits and risks. One promising adjunct to decision making in osteoarthritis is adaptive conjoint analysis (ACA).
objectiveTo obtain insight into the experiences of elderly patients who use adaptive conjoint analysis to explore treatment options for their osteoarthritis.
designParticipants, all 65 and older, completed an ACA decision aid exploring their preferences with regard to the underlying attributes of osteoarthritis interventions. We used focus groups to obtain insight into their experiences using this software.
resultsContent analysis distributed our participants' concerns into five areas. The predicted preferred treatment usually agreed with the individual's preference, but our participants experienced difficulty in four other domains: the choices presented by the software were sometimes confusing, the treatments presented were not the treatments of most interest, the researchers' claims about treatment characteristics were unpersuasive and cumulative overload sometimes developed.
conclusionAdaptive conjoint analysis presented special challenges to our elderly participants; we believe that their relatively low level of computer comfort was a significant contributor to these problems. We suggest that other researchers choose the software's treatments and present the treatment attributes with care. The next and equally vital step is to educate participants about what to expect, including the limitations in choice and apparent arbitrariness of the trade-offs presented by the software. Providing participants with a sample ACA task before undertaking the study task may further improve participant understanding and engagement.
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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.