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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