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Table 1 Baseline characteristics of participants completing the study (N = 44)

From: Comparison of an interactive voice response system and smartphone application in the identification of gout flares

Age, years, mean (SD) 49.3 (14.5)
Male sex, N (%) 37 (84%)
White race* 30 (68%)
Black or other race* 14 (32%)
Education level, N (%)
 Less than high school 1 (2%)
 High school or more 43 (98%)
Age at first gout flare (years), mean (SD) 38.3 (18.6)
Duration of gout (years), mean (SD) 10.5 (7.9)
Number of flares in prior 6 months, N (%)
 2–3 19 (43%)
 ≥ 4 25 (57%)
Gout medication use, N (%)*
 Urate-lowering therapy 37 (84%)
 NSAID or colchicine 28 (64%)
 Prednisone 13 (30%)
Number of smartphone applications on cellphone, mean (SD) 21.2 (16.1)
  1. Urate-lowering therapy included allopurinol, febuxostat, or probenecid, and this use was not mutually exclusive to other gout medications
  2. NSAID non-steroidal anti-inflammatory
  3. *Two participants declared Hispanic ethnicity
  4. Missing data n = 2