| Literature DB >> 31001154 |
Feng Jiang1, Huixuan Zhou1, Linlin Hu1, Jeffrey Rakofsky2, Tingfang Liu3, Shichao Wu1, Huanzhong Liu4, Yuanli Liu1, Yi-Lang Tang2,5.
Abstract
Objective: To study the socio-demographic characteristics, the working environment, and the level of career satisfaction among psychiatry residents in China. Method: This was a part of a large-scale, nation-wide online survey of hospitals, healthcare professionals, and patients. Data, including socio-demographics, work hours, income, job satisfaction, and intention to quit were collected anonymously. Respondents also completed the Minnesota Satisfaction Questionnaire (MSQ).Entities:
Keywords: China; intention to quit; psychiatry residents; satisfaction; socio-demographic characteristics; workforce
Year: 2019 PMID: 31001154 PMCID: PMC6454050 DOI: 10.3389/fpsyt.2019.00177
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Demographic characteristics of psychiatry residents (N = 1,060).
| Female | 731 | 69.0 |
| Male | 329 | 31.0 |
| ≤24 | 95 | 9.0 |
| 25~29 | 595 | 56.1 |
| ≥30 | 370 | 34.9 |
| PGY-1 | 316 | 29.8 |
| PGY-2 | 214 | 20.2 |
| PGY-3 | 214 | 20.2 |
| PGY-4 | 114 | 10.8 |
| PGY-5 | 202 | 19.1 |
| Married | 500 | 47.2 |
| Single | 560 | 52.8 |
| None | 794 | 74.9 |
| One or more | 266 | 25.1 |
| College/medical school | 696 | 65.7 |
| Master's Degree | 329 | 31.0 |
| MD or PhD Degree | 35 | 3.3 |
| East China | 435 | 41.0 |
| Central China | 224 | 21.1 |
| West China | 319 | 30.1 |
| Northeast China | 82 | 7.7 |
Monthly standardized pay and expected standardized pay of psychiatrists (N = 1,060).
| Total | 8518.9 | 6822.9 | 10891.4 | |
| Male | 8378.3 | 6961.0 | 10889.0 | 0.765 |
| Female | 8528.6 | 6805.0 | 10918.2 | |
| East China | 8165.9 | 6375.6 | 10000.0 | <0.001 |
| Central China | 9501.50 | 7675.76 | 11940.07 | |
| West China | 8816.8 | 6821.9 | 10929.5 | |
| Northeast China | 7553.1 | 5884.1 | 8794.2 | |
| PGY-1 | 6961.0 | 5371.2 | 8509.1 | |
| PGY-2 | 8938.9 | 7050.6 | 10921.0 | |
| PGY-3 | 9107.9 | 7207.4 | 11523.8 | <0.001 |
| PGY-4 | 9267.3 | 7915.5 | 11830.7 | |
| PGY-5 | 10120.2 | 8161.7 | 11865.2 | |
| Total | 16532.6 | 12740.1 | 29628.5 | |
| Male | 17275.5 | 13777.2 | 21836.4 | 0.03a |
| Female | 16331.9 | 12343.5 | 20414.8 | |
| East China | 15279.6 | 12000.0 | 20372.8 | <0.001 |
| Central China | 17275.5 | 14978.3 | 20730.5 | |
| West China | 17402.6 | 12751.1 | 24120.1 | |
| Northeast China | 14560.1 | 10523.3 | 18200.1 | |
| PGY-1 | 13836.2 | 10186.4 | 20000.0 | |
| PGY-2 | 16135.4 | 12129.4 | 20063.9 | |
| PGY-3 | 17275.5 | 13777.2 | 20730.5 | <0.001 |
| PGY-4 | 17936.8 | 14560.1 | 24745.1 | |
| PGY-5 | 18200.1 | 14880.0 | 25960.9 | |
Mann-Whitney U-test.
Kruskal-Wallis test. UDS/RMB ratio 6.5.
p <0.05.
p <0.001.
Monthly standardized pay = monthly pay/2016 local city average monthly income*2016 Beijing city average monthly income.
Expected monthly standardized pay = expected monthly pay/2016 local city average monthly income*2016 Beijing city average monthly income.
2016 local city average income data source: National Bureau of Statistics of China. .
The association between individual- and hospital-level characteristics applying multilevel linear regression (N = 1,060).
| Intercept | 73.1 | 1.0 | <0.001 | 59.6 | 1.1 | <0.001 | 60.0 | 1.9 | <0.001 |
| Age (centralized) | −0.7 | 0.4 | 0.099 | −0.7 | 0.4 | 0.111 | |||
| Gender (ref. female) | 1.0 | 0.6 | 0.110 | 1.0 | 0.6 | 0.115 | |||
| Marital status (ref. unmarried or other) | 1.0 | 0.8 | 0.210 | 1.0 | 0.8 | 0.206 | |||
| Children (ref. none) | 0.4 | 0.9 | 0.647 | 0.4 | 0.9 | 0.674 | |||
| Educational attainment (ref. college/medical school) | 0.4 | 0.8 | 0.633 | 0.3 | 0.8 | 0.671 | |||
| Have administrative position (ref. none) | 1.6 | 3.5 | 0.643 | 1.6 | 3.5 | 0.644 | |||
| PGY-2 | −0.8 | 0.9 | 0.393 | −0.8 | 0.9 | 0.384 | |||
| PGY-3 | −2.88 | 1.0 | 0.003 | −2.8 | 0.9 | 0.003 | |||
| PGY-4 | −2.6 | 1.2 | 0.032 | −2.6 | 1.2 | 0.031 | |||
| PGY-5 | −2.0 | 1.2 | 0.080 | −2.0 | 1.2 | 0.079 | |||
| Work hours per week (centralized) | −0.8 | 0.3 | 0.014 | −0.8 | 0.3 | 0.013 | |||
| Standardized pay per month in previous year (centralized) | 0.9 | 0.3 | 0.006 | 0.9 | 0.3 | 0.006 | |||
| Gap between expected and actual standardized monthly pay (centralized) | −0.7 | 0.3 | 0.022 | −0.7 | 0.3 | 0.023 | |||
| Medical liability insurance (ref. none or unknown) | 1.7 | 0.6 | 0.008 | 1.7 | 0.6 | 0.007 | |||
| Encountered medical disputes and complaints in previous year (ref. none) | 0.1 | 0.7 | 0.202 | 0.1 | 0.7 | 0.839 | |||
| Satisfied with medical disputes prevention (ref. not) | 8.9 | 0.7 | <0.001 | 8.9 | 0.7 | <0.001 | |||
| Satisfied with doctor-nurse cooperation (ref. not) | 9.0 | 0.8 | <0.001 | 8.9 | 0.8 | <0.001 | |||
| Satisfied with social environment for healthcare workers (ref. not) | 7.5 | 0.8 | <0.001 | 7.5 | 0.8 | <0.001 | |||
| Doctor-bed ratio | −2.0 | 8.6 | 0.818 | ||||||
| Hospital level variance/standard error / | 26.5 | 8.0 | 0.001 | 6.1 | 2.3 | 0.009 | 4.0 | 5.2 | 0.438 |
| Individual level variance/standard error | 162.6 | 7.2 | 88.7 | 3.9 | 88.7 | 3.9 | |||
| Intra-class correlation: ICC(%) | 14.0 | 6.5 | 4.3 | ||||||
| −2 Log likelihood | 8458.1 | 7759.9 | 7753.5 | ||||||
| Proportional changes in hospital level variance: PCV (%,compared to null model) | 76.8 | ||||||||
| Proportional changes in hospital level variance: PCV (%,compared to Model 2) | 34.8 | ||||||||
Coef., coefficient; SE, standard error; ref., reference.
p <0.05,
p <0.01,
p <0.001.