AI Article Synopsis
- Research indicates that patients' uncertainty about their symptoms influences their choices to seek medical care.
- A newly developed tool, the 'U-Scale', measures this uncertainty, building on previous patient insights.
- Initial tests show that the scale is reliable and valid, with plans for further testing in varied populations to enhance understanding of how this uncertainty affects healthcare use.
Article Abstract
Research suggests that patient uncertainty related to experiencing symptoms may drive decisions to seek care. The only validated measure of patient uncertainty assesses uncertainty related to defined illness. In prior work, we engaged patients to describe uncertainty related to symptoms and used findings to develop the 'U-Scale' scale. In this work, we present results from preliminary scale reliability and validity testing. Psychometric testing demonstrated content validity, high internal consistency, and evidence for concurrent validity. Next steps include administration in diverse populations for continued refinement and validation, and exploration of the potential contribution of uncertainty to healthcare utilization.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/1359105317752827 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!