Objective: To assess the psychometric properties of the Health Assessment Questionnaire (HAQ) disability index (DI) in patients with gout.
Methods: This study was conducted in a multicenter cohort of patients with gout whose data were collected at baseline (time 0) and 6 months later (time 6). Reliability was assessed by test-retest reliability (intraclass correlation coefficient [ICC]) and internal consistency (Cronbach's alpha coefficient). Construct validity was assessed with convergent validity (HAQ DI correlation with Short Form 36 [SF-36]) and discriminative validity (HAQ DI correlation with clinical features). Sensitivity to change was determined by comparing HAQ DI time 0 versus HAQ DI time 6 (percentage of change, effect size, smallest real difference [SRD], and Guyatt's responsiveness index [GRI]).
Results: We included 206 patients (96.6% men, mean +/- SD age and disease duration 56.3 +/- 12.4 years and 9.3 +/- 8.5 years, respectively). Of these, 52.4% had joint pain, 22.8% swelling, 32.5% reduced joint mobility, and 36.9% tophi. The mean HAQ DI score was 0.59 +/- 0.77 (95% confidence interval [95% CI] 0.49-0.70). ICC (n = 36, evaluations at baseline and 5 days later) was 0.76. Cronbach's alphas were 0.91 (95% CI 0.88-0.92, P = 0.000) for the 20 HAQ DI items and 0.93 (95% CI 0.92-0.94, P = 0.000) for the 8 HAQ DI categories. The HAQ DI correlated in predictable ways with SF-36 subscales and clinical variables, and discriminated between subgroups with and without any joint pain, swelling, and tophi. Concerning sensitivity to change (n = 167), the difference between HAQ DI time 0 and HAQ DI time 6 was 0.31 +/- 0.58 (effect size 0.62, SRD 0.59, and GRI 1.91). DeltaHAQ DI correlated with Deltapain (r = 0.349, P = 0.000).
Conclusion: The HAQ DI is a valid and reliable measure of functioning in patients with gout.
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Biotechnol Rep (Amst)
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Department of Biology, University of York, Wentworth Way, York, YO10 5DD, UK.
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View Article and Find Full Text PDFMymensingh Med J
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Dr Md Fazlul Haq Siddique, Associate Professor, Department of Urology, Mymensingh Medical College (MMC), Mymensingh, Bangladesh; E-mail:
Lag times for the diagnosis and treatment of urinary bladder cancer are generally longer which reduces the chances of achieving cures. This study was carried out at the Urology Department of Bangabandhu Sheikh Mujib Medical University, Dhaka and a Urology Center in a private hospital in Dhaka, Bangladesh from July 2007 to June 2008 on patients of newly diagnosed muscle invasive bladder carcinoma. This study was intended to assess the delay encountered by the patients and its consequences in the process of diagnosis and treatment of bladder cancer.
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Neurology, NeuroCareAI, Dallas, USA.
Stroke remains a critical global health challenge, with ischemic stroke comprising most cases and necessitating rapid, effective treatment to improve patient outcomes. This review explores the integration of artificial intelligence (AI) and machine learning into medical devices for stroke triaging, highlighting their impact on reducing notification times, latency in care, and health disparities. By analyzing Food and Drug Administration-approved AI-enabled devices under the "Radiological computer-assisted triage and notification software" regulation category, we assess their sensitivity, specificity, and time-to-notification as the measure of their overall effectiveness in clinical settings.
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