OBJECTIVE: To evaluate the self-administered Quality of Well-Being (QWB-SA) Scale for patients with rheumatic diseases. METHODS: Family medicine patients (n = 562) and rheumatology patients (n = 334) were assessed using the following tools: QWB-SA, Health Assessment Questionnaire (HAQ), Arthritis Impact Measurement Scales (AIMS), and Rapid Assessment of Disease Activity in Rheumatology (RADAR). RESULTS: Patients with arthritis had significantly lower QWB-SA scores and significantly higher HAQ scores than family medicine patients with and without adjustment for covariates. The QWB-SA was significantly associated with quartiles from the RADAR, AIMS, and HAQ, providing evidence for the validity of the generic measure in patients with arthritis. Discriminant function analysis was used to create an arthritis-specific scoring system for the QWB-SA. Analyses demonstrated systematic relationships between the Quality of Well-Being arthritis composite and the disease-specific RADAR, AIMS, and HAQ. CONCLUSIONS: Evidence supports the validity of the QWB-SA for patients with rheumatic diseases. QWB-SA items can be used to calculate an arthritis-specific score. The QWB-SA can be used to gain generic information for cost-utility analysis and disease-specific outcomes information for patients with arthritis.
OBJECTIVE: To evaluate the self-administered Quality of Well-Being (QWB-SA) Scale for patients with rheumatic diseases. METHODS: Family medicine patients (n = 562) and rheumatologypatients (n = 334) were assessed using the following tools: QWB-SA, Health Assessment Questionnaire (HAQ), Arthritis Impact Measurement Scales (AIMS), and Rapid Assessment of Disease Activity in Rheumatology (RADAR). RESULTS:Patients with arthritis had significantly lower QWB-SA scores and significantly higher HAQ scores than family medicine patients with and without adjustment for covariates. The QWB-SA was significantly associated with quartiles from the RADAR, AIMS, and HAQ, providing evidence for the validity of the generic measure in patients with arthritis. Discriminant function analysis was used to create an arthritis-specific scoring system for the QWB-SA. Analyses demonstrated systematic relationships between the Quality of Well-Being arthritis composite and the disease-specific RADAR, AIMS, and HAQ. CONCLUSIONS: Evidence supports the validity of the QWB-SA for patients with rheumatic diseases. QWB-SA items can be used to calculate an arthritis-specific score. The QWB-SA can be used to gain generic information for cost-utility analysis and disease-specific outcomes information for patients with arthritis.
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