Table 4.
Results of 2498 physicians’ longitudinal analysis of factors associated with salary, 2015–2016
| Items | Estimate (SE) | p value |
|---|---|---|
| Gender | ||
| Male | Ref. | |
| Female | −48.6 | 0.1655 |
| Age | 14.0 | 0.0051 |
| Years in practice | 13.0 | 0.0014 |
| Education | ||
| Doctorate | Ref. | |
| Bachelor’s and below | − 538.0 | <.0001 |
| Master’s | −383.0 | <.0001 |
| Technical Title | ||
| Chief | Ref. | |
| Resident | − 345.0 | 0.0008 |
| Attending | −230.1 | 0.0121 |
| Associate chief | − 142.7 | 0.0981 |
| Management position | ||
| Yes | Ref. | |
| No | −274.3 | <.0001 |
| Workload | −1.8 | 0.7399 |
| Specialty | ||
| Paediatrics | Ref. | |
| Internal medicine | − 160.1 | 0.0011 |
| Surgery | 11.61 | 0.8489 |
| Obstetrics | 33.8 | 0.5340 |
| Traditional Chinese medicine | − 166.8 | 0.0113 |
| Emergency medicine | −87.0 | 0.2086 |
| Otolaryngology | 218.5 | 0.0182 |
| Anaesthesiology | 191.7 | 0.0137 |
| Ophthalmology | 73.2 | 0.6268 |
| Stomatology | 38.0 | 0.7160 |
| Other | −60.7 | 0.3862 |
| Region | ||
| West | Ref. | |
| Central | 262.8 | <.0001 |
| Middle | −176.3 | <.0001 |
| Time (2015y = 1, 2016y = 2) | 394.4 | <.0001 |