Table 1:
Respondent characteristics
| Respondentsa, No. (%) | ||||
|---|---|---|---|---|
| Total, N=5782 (%) | Reported medical mistake n=2859c (49) |
No reported medical mistake n=2723 (47) |
P Valued | |
| Characteristic b | ||||
| Years in Practice | ||||
| 0–4 years | 1994 | 916 (46) | 1021 (51) | <0.01 |
| 5–9 yearse | 2205 | 1104 (50) | 1027 (46) | |
| 10–14 years | 942 | 511 (54) | 400 (42) | |
| ≥ 15 years | 616 | 322 (52) | 262 (43) | |
| Race/ethnicity | ||||
| Non-Hispanic White | 4000 | 2041 (51) | 1821 (46) |
<0.01 |
| Non-Hispanic Black | 211 | 108 (51) | 94 (45) | |
| Asian | 792 | 370 (47) | 404 (51) | |
| Hispanic | 440 | 201 (46) | 222 (50) | |
| Other | 266 | 111 (42) | 148 (56) | |
| Marital status | ||||
| Not currently married, never married, or divorced | 315 | 151 (48) | 154 (49) | 0.54 |
| Married | 5457 | 2706 (50) | 2568 (47) | |
| Trainee, resident, or fellow | ||||
| No | 5244 | 2612 (50) | 2451 (47) | 0.08 |
| Yes | 534 | 247 (46) | 272 (51) | |
| Medical Specialty | ||||
| Anesthesia | 187 | 89 (48) | 94 (50) | 0.48 |
| Dermatology | 103 | 39 (38) | 61 (59) | 0.01 |
| Emergency medicine | 516 | 308 (60) | 181 (35) | <0.01 |
| Family medicine | 950 | 491 (52) | 423 (45) | 0.10 |
| Internal medicine | 1291 | 593 (46) | 657 (51) | <0.01 |
| Neurology | 139 | 52 (37) | 86 (62) | <0.01 |
| Obstetrics-gynecology | 709 | 443 (62) | 239 (34) | <0.01 |
| Ophthalmology | 96 | 40 (42) | 53 (55) | 0.11 |
| Pathology | 95 | 34 (36) | 60 (63) | <0.01 |
| Pediatrics | 1166 | 556 (48) | 575 (49) | 0.12 |
| Psychiatry | 314 | 105 (33) | 202 (64) | <0.01 |
| Radiology | 109 | 51 (47) | 50 (46) | 0.88 |
| Surgery | 278 | 158 (57) | 114 (41) | 0.02 |
| Other | 61 | 35 (57) | 26 (43) | 0.33 |
| Practice Setting | ||||
| Private practice | 2143 | 1067 (50) | 1021 (48) | 0.79 |
| Academic | 1957 | 988 (50) | 913 (47) | |
| Public hospital | 444 | 210 (47) | 207 (47) | |
| HMO | 266 | 137 (52) | 122 (46) | |
| VA | 103 | 50 (49) | 46 (45) | |
| Military | 105 | 56 (53) | 48 (46) | |
| Not currently working or retired | 124 | 52 (42) | 64 (52) | |
| Burnout | ||||
| No | 3545 | 1678 (47) | 1759 (50) | <.01 |
| Yes | 2208 | 1175 (53) | 957 (43) | |
a
97.7% of respondents were from the United States
b
Missing data points not shown (missing reponses include 200 (3.5%) missing values for self-reported involvement in a medical mistake, 25 (0.4%) missing values for years in practice, 73 (1.3%) missing values for race/ethnicity, 22 (0.4%) missing values for practice setting, 10 missing values for marital status (0.2%), 4 (0.1%) missing values for training status, and 29 (0.5%) missing values for burnout)
c
Logistic regression model used to assess relationship between involvement in medical mistake and burnout, adjusted for years in practice, practice setting, and medical specialty
d
Chi-square test, α=0.05
e
Referent group