Table 1.
Variable | Other Rehab | IRF | P Value | Missing, n (%) |
---|---|---|---|---|
No. of participants | 248 | 447 | ||
Age (y), mean ± SD* | 51.2±18.5 | 44.8±16.1 | <.01 | 0 (0) |
Male, n (%)† | 170±68.5 | 312±69.8 | .73 | 0 (0) |
White, n (%)† | 213±93.8 | 360±93.8 | .97 | 84 (12.1) |
Hispanic and/or Latina, n (%)† | 10±4.5 | 60±14.3 | <.01 | 52 (7.5) |
Single, n (%)† | 104±61.2 | 79±45.4 | <.01 | 351 (50.5) |
Employed at time of injury, n (%)† | 75±32.3 | 264±59.5 | <.01 | 19 (2.7) |
TBSA burned (%), mean ± SD* | 16.3±14.9 | 34.3±21.2 | <.01 | 11 (1.6) |
Burn etiology, n (%)† | <.01 | 33 (4.8) | ||
Fire/flame | 151 (67.4) | 343 (78.3) | ||
Scald | 33 (14.7) | 26 (5.9) | ||
Grease | 6 (2.7) | 13 (3) | ||
Electricity | 3 (1.3) | 28 (6.4) | ||
Other | 31 (13.8) | 28 (6.4) | ||
Location of burn injury, n (%)† | ||||
Head/neck/face | 108 (46.4) | 308 (68.9) | <.01 | 15 (2.2) |
Trunk | 141 (60.5) | 338 (75.8) | <.01 | 15 (2.2) |
Perineum | 27 (12.5) | 93 (21.4) | .01 | 44 (6.3) |
Arm | 144 (62.1) | 368 (82.5) | <.01 | 17 (2.5) |
Hand | 126 (54.8) | 345 (77.1) | <.01 | 18 (2.6) |
Leg | 136 (58.9) | 293 (65.5) | <.01 | 17 (2.5) |
Foot | 69 (30.1) | 156 (35.0) | .01 | 20 (2.9) |
Inhalation injury, n (%)† | 36 (15.7) | 104 (23.5) | .02 | 23 (3.3) |
Primary payer, n (%)† | <.01 | 54 (7.8) | ||
Medicare | 76 (37.6) | 78 (17.8) | ||
Medicaid | 33 (16.3) | 81 (18.5) | ||
Private/HMO/PPO | 22 (10.9) | 118 (26.9) | ||
Worker’s comp | 23 (11.4) | 67 (15.3) | ||
Other | 48 (23.8) | 95 (21.6) | ||
ICU length of stay (d), mean ± SD* | 12.6±1.51 | 34.9±2.13 | <.001 | 355 (51.1) |
Psychological therapy or counseling preinjury, n (%)† | 55 (24.8) | 72 (16.6) | .01 | 39 (5.6) |
Amputation, n (%)† | 18 (9.4) | 83 (19.0) | <.01 | 67 (9.6) |
Alcohol abuse in last 12 mo, n (%)† | 48 (22.0) | 91 (21.1) | .79 | 46 (6.6) |
Drug abuse in last 12 mo, n (%)† | 39 (18.4) | 66 (15.3) | .31 | 51 (7.3) |
Abbreviations: HMO, health maintenance organization; ICU, intensive care unit;PPO, preferred provider organization.
Two-sample t tests used to identify any differences in demographic and clinical variables between groups.
Chi-square tests used to identify any differences in demographic and clinical variables between groups.