Chrome Extension
WeChat Mini Program
Use on ChatGLM

Development of an Interactive Tool to Support Shared Decision-Making in Rheumatoid Arthritis: Treatment Attribute Preference

ARTHRITIS CARE & RESEARCH(2024)

Cited 0|Views3
No score
Abstract
Objective. An interactive tool identifying treatment attributes important to patients can enhance shared decision-making (SDM) in rheumatoid arthritis (RA). A formative survey was conducted to identify the most important treatment attributes from patients' perspective, which can be used to develop an interactive SDM tool. Methods. The survey was performed in two phases: qualitative interviews and quantitative surveys. The qualitative interviews were conducted to inform the design of the quantitative survey. In qualitative interviews, patients with RA (n = 10) and rheumatologists (n = 10) were introduced to the SDM tool concept. Feedback on the design and scope of the SDM tool was used to develop a quantitative survey, conducted in a large sample size of patients. Patient preferences for treatment attributes (route of administration and dosing frequency, serious side effects, out-of-pocket costs, efficacy, and monitoring requirement) were assessed via adaptive conjoint exercise involving ranking of hypothetical RA treatment configurations. Results. A total of 944 patients (males: 43%, females: 57%) with RA participated in the quantitative survey. Route of administration and dosing frequency (38%) followed by serious side effects (33%) were the two most important treatment attributes for individual patients. The recontact survey (n = 172/944) estimated tool stability of 72% (n = 124/172) in terms of the relative importance of treatment attributes. Conclusion. The findings of this survey could be used in the development of an SDM tool that can potentially provide insights into patient preferences and is generally well received by patients and rheumatologists with good agreement and reliability.
More
Translated text
Key words
treatment attribute preference,rheumatoid arthritis,interactive tool,decision making
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined