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. 2019 Jan 16;10(1):40–50. doi: 10.1055/s-0038-1676971

Table 1. Baseline characteristics.

Variable All users, n  = 146 Subgroup analysis p -Value
Infrequent use, n  = 53 Frequent use, n  = 93
Demographics
 Age (mean, SD) 56.3 ± 15.2 58.6 ± 16.6 55.0 ± 14.3 0.140
 Female sex ( n , %) 59 (40.4) 18 (34.0) 41 (44.1) 0.231
 Race ( n , %)
  Asian or Pacific Islander 4 (2.8) 2 (3.8) 2 (2.2) 0.064
  Black or African American 23 (16.0) 13 (24.5) 10 (11.0)
  Multi-race 4 (2.8) 3 (5.7) 1 (1.1)
  Other 29 (20.1) 8 (15.1) 21 (23.1)
  White 84 (58.3) 27 (50.9) 57 (62.6)
 Hispanic, Latino, or Spanish origin ( n , %) 32 (22.1) 10 (18.9) 22 (23.9) 0.481
 Country of origin ( n , %)
  Dominican Republic or Puerto Rico 10 (6.9) 3 (5.7) 7 (7.6) 0.183
  United States 108 (74.5) 36 (67.9) 72 (78.3)
  Other 27 (18.6) 14 (26.4) 13 (14.1)
 Spanish as preferred language ( n , %) 12 (8.3) 5 (9.6) 7 (7.6) 0.757
Socioeconomic status
 Social vulnerability index (mean, SD) 0.54 ± 0.32 0.58 ± 0.33 0.51 ± 0.31 0.222
 Education ( n , %)
  < High school graduate or GED 12 (8.3) 4 (7.5) 8 (8.7) 0.419
  High school graduate or GED 24 (16.6) 8 (15.1) 16 (17.4)
  Associate's degree, technical school, some college 53 (36.6) 24 (45.3) 29 (31.5)
  College graduate or higher 56 (38.6) 17 (32.1) 39 (42.4)
 Employment status ( n , %)
  Employed 79 (55.6) 23 (44.2) 56 (62.2) 0.054
  Unemployed 29 (20.4) 11 (21.2) 18 (20.0)
  Retired 34 (23.9) 18 (34.6) 16 (17.8)
 Insurance type ( n , %)
  Public (Medicare or Medicaid) only 28 (19.3) 13 (25.0) 15 (16.1) 0.013 a
  Public plus private supplement 51 (35.2) 24 (46.2) 27 (29.0)
  Private or commercial only 54 (37.2) 14 (26.9) 40 (43.0)
  Self-pay b 12 (8.3) 1 (1.9) 11 (11.8)
 Annual household income ( n , %)
  Less than 15,000 USD 11 (14.5) 2 (8.3) 9 (17.3) 0.010 a
  15,000–50,000 USD 17 (22.4) 11 (45.8) 6 (11.5)
  50,000–100,000 USD 19 (25.0) 5 (20.8%) 14 (26.9)
  More than 100,000 USD 29 (38.2) 6 (25.0) 23 (44.2)
 Inadequate health literacy ( n , %) 55 (37.7) 22 (41.5) 33 (35.5) 0.470
Technology experience
 Can access desktop, laptop, or tablet at home ( n , %) 136 (93.2) 48 (90.6) 88 (94.6) 0.497
 Can access the Internet at home ( n , %) 133 (91.1) 42 (79.2) 91 (97.8) <0.001 a
 Daily Internet use in past 30 days ( n , %)
 <1 hour 41 (28.1) 18 (34.0) 23 (24.7) 0.312
 1–3 hours 47 (32.2) 18 (34.0) 29 (31.2)
 >3 hours 58 (39.7) 17 (32.1) 41 (44.1)
 Has email address ( n , %) 128 (87.7) 41 (77.4) 87 (93.5) 0.004 a
 Looks up health information online ( n , %) 121 (82.9) 42 (79.2) 79 (84.9) 0.379
Illness severity
 Charlson Comorbidity Index (mean, SD) 2.4 ± 2.0 2.8 ± 2.1 2.1 ± 1.9 0.036 a
 Severity of Illness level (mean, SD) 2.7 ± 1.0 2.9 ± 1.0 2.6 ± 0.9 0.020 a
 Risk of Mortality level (mean, SD) 2.4 ± 1.0 2.6 ± 0.9 2.3 ± 1.0 0.028 a
 Length of hospital stay, days (mean, SD) 11.9 ± 14.7 14.7 ± 14.7 10.4 ± 14.5 0.005 a
Patient activation
 PAM score, pre (mean, SD) 69.9 ± 14.6 71.7 ± 14.6 68.9 ± 14.7 0.306

Abbreviations: GED, General Education Diploma; n , number; PAM, Patient Activation Measure; SD, standard deviation; USD, United States dollars.

Note: Categorical variables reported as n (%), and p -values calculated using chi-squared tests or Fisher's exact tests with Monte Carlo approximation. Continuous variables reported as mean ± SD, and p -values calculated using Wilcoxon rank-sum tests. Percentages exclude missing data.

a

Significant at p  = 0.05.

b

In this clinical setting, “self-pay” reflects high-income patients who pay out-of-pocket for elective care.