Table 1.
Participants’ characteristics.
| Informant Code | Profession | Age | Gender | Professional Expertise (Total Years) | ICU Expertise (Total Years) | Years at Present ICU | Hospital | Coders |
|---|---|---|---|---|---|---|---|---|
| P1 | Nursing Assistant | 27 | Male | 9 | 8 | 7 | Hospital 1 | PC/MM |
| P2 | Nurse | 27 | Female | 6.5 | 5 | 5 | Hospital 1 | PC/AT |
| P3 | Nurse | 39 | Male | 16 | 14 | 9 | Hospital 1 | PC/GG |
| P4 | Nurse | 33 | Female | 10 | 6 | 6 | Hospital 2 | PC/GG |
| P5 | Nurse | 42 | Male | 10 | 10 | 10 | Hospital 2 | PC/GT |
| P6 | Nurse | 35 | Male | 7 | 5 | 2 | Hospital 3 | PC/MM |
| P7 | Nurse | 49 | Female | 27 | 26 | 26 | Hospital 3 | PC/MM |
| P8 | Nursing Assistant | 28 | Female | 9.5 | 7 | 7 | Hospital 2 | PC/GG |
| P9 | Nursing Assistant | 42 | Male | 12 | 7 | 7 | Hospital 3 | PC/AT |
| P10 | Nursing Assistant | 37 | Female | 12 | 11 | 11 | Hospital 3 | PC/AT |
| P11 | Nursing Assistant | 31 | Female | 13 | 10 | 6 | Hospital 1 | PC/GT |