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A web-compatible instrument for measuring self-reported disease activity in arthritis
Ninad Athale1, Ann Sturley, Steven Skoczen
1Health Services Research and Development, Veterans Affairs San Diego Healthcare System, Veterans Medical Research Foundation, University of California, San Diego (UCSD), California 92161, USA.
The Journal of Rheumatology
|February 5, 2004
Summary
Web-based health surveys for rheumatoid arthritis (RA) are comparable to paper versions. These digital tools can significantly improve patient health monitoring for physicians.
Area of Science:
- Rheumatology
- Health Informatics
- Digital Health
Background:
- Rheumatoid arthritis (RA) management requires regular patient health assessment.
- Traditional paper-based surveys can be cumbersome for both patients and clinicians.
- Web-based platforms offer a potential improvement for health data collection.
Purpose of the Study:
- To introduce a Web-based computer health assessment survey for RA patients.
- To compare the efficacy and patient reception of this digital survey against traditional paper versions.
Main Methods:
- A comparative study involving 43 RA patients at a university clinic.
- Patients completed both paper and computer versions of a self-assessment questionnaire, including the Health Assessment Questionnaire (HAQ), visual analog scales (VAS) for pain and fatigue, and joint count tools.
- Follow-up surveys assessed patient opinions on the computer version.
Main Results:
- High correlations (ICC > 0.9) were found between paper and computer versions for HAQ scores, psychological distress, and VAS scores for pain and global disease severity.
- Moderate correlations were observed for self-efficacy, VAS fatigue scores, and tender joint counts.
- Patients reported slightly higher scores on the computer version for HAQ and self-efficacy; 71% favored the digital joint count tool.
Conclusions:
- Web-based computer surveys for RA self-assessment are comparable to paper versions.
- Digital surveys can significantly enhance physician capabilities for monitoring patient health.
- Implementation in clinics or via the internet holds promise for improved RA patient care.

