| Literature DB >> 29284717 |
Lynn V Monrouxe1,2, Alison Bullock3, Hsu-Min Tseng1,4, Stephanie E Wells5.
Abstract
OBJECTIVES: To examine how burnout across medical student to junior doctor transition relates to: measures of professional identity, team understanding, anxiety, gender, age and workplace learning (assistantship) alignment to first post.Entities:
Keywords: anxiety disorders; mental health
Mesh:
Year: 2017 PMID: 29284717 PMCID: PMC5770913 DOI: 10.1136/bmjopen-2017-017942
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Number (and %) of respondents’ demographics across each of the four data collection times
| T1 | T2 | T3 | T4 | |
| Group | 208 | 175 | 135 | 125 |
| Aligned | 99 | 79 | 64 | 65 |
| Non-aligned | 109 | 96 | 71 | 60 |
| Gender | ||||
| Female | 135 (64.9) | 120 (68.57) | 93 (68.89) | 87 (69.6) |
| Male | 73 (35.1) | 55 (31.43) | 42 (31.11) | 38 (30.4) |
| Age (years) | ||||
| 17–25 | 155 (74.52) | 129 (73.71) | 96 (71.11) | 98 (78.4) |
| 26–30 | 45 (21.63) | 40 (22.86) | 36 (26.67) | 24 (19.2) |
| 31–35 | 4 (1.92) | 4 (2.29) | 2 (1.48) | 3 (2.4) |
| 36–40 | 4 (1.92) | 2 (1.14) | 1 (0.74) | 0 (0) |
Distribution of measurement scores by group and time
| Measures | Phase | ||||
| T1 | T2 | T3 | T4 | Wald X2 | |
| HAM-A | 11.42±8.02 | 11.32±8.65 | 10.72±8.59 | 10.86±9.28 |
|
| Aligned | 10.99±7.29 | 11.61±8.59 | 10.66±8.36 | 11.25±8.47 |
|
| Non-aligned | 11.81±8.65 | 11.08±8.75 | 10.77±8.85 | 10.45±10.14 |
|
| Professional identity | 37.02±4.89 | 37.11±4.67 | 37.16±4.84 | 37.81±4.87 |
|
| Aligned | 37.85±4.55 | 37.05±4.71 | 37.22±4.95 | 37.62±4.57 |
|
| Non-aligned | 36.28±5.1 | 37.17±4.66 | 37.11±4.78 | 38.02±5.2 |
|
| Teamwork | 38.05±3.37 | 38.97±3.5 | 40.41±3.24 | 39.58±3.31 |
|
| Aligned | 38.37±3.76 | 39.06±3.17 | 40.34±2.75 | 39.66±3.13 |
|
| Non-aligned | 37.76±2.95 | 38.9±3.77 | 40.48±3.64 | 39.5±3.52 |
|
| Personal burnout | 42.64±16.28 | 47.66±18.69 | 47.33±18.19 | 48.2±17.07 |
|
| Aligned | 41.26±17.35 | 48.04±18.78 | 46.02±16.93 | 46.46±15.58 |
|
| Non-aligned | 43.9±15.2 | 47.34±18.71 | 48.52±19.3 | 50.08±18.49 |
|
| Work-related | 36.76±13.44 | 40.94±16.89 | 41.9±16.04 | 42.69±15.78 |
|
| Aligned | 35.82±14.59 | 41.37±17.72 | 41.69±14.79 | 41.7±14.2 |
|
| Non-aligned | 37.61±12.31 | 40.59±16.27 | 42.1±17.2 | 43.75±17.38 |
|
| Patient-related burnout | 22.46±12.79 | 23.36±13.41 | 23.4±12.98 | 25.1±14.1 |
|
| Aligned | 21.09±12.41 | 23.05±14.48 | 22.72±13.13 | 25.51±13.37 |
|
| Non-aligned | 23.7±13.05 | 23.61±12.53 | 24±12.9 | 24.65±14.96 |
|
*P<0.05, **P<0.01, ***P<0.001.
The significance of the main (group and time) and the interaction effects were assessed with the Wald Χ2 test using GEE.
GEE, generalised estimating equation; HAM-A, Hamilton Anxiety Rating Scale.
Results of mixed-effect models
| Parameters | Burnout | ||
| Personal | Work related | Patient related | |
| Fixed effect | Estimate (SE) | Estimate (SE) | Estimate (SE) |
| Intercept | 42.16*** (8.07) | 43.32*** (6.80) | 33.09*** (6.68) |
| Time | 1.01 (0.62) | 1.62** (0.52) | 0.53 (0.59) |
| Anxiety | 1.01*** (0.08) | 1.02*** (0.07) | 0.64*** (0.07) |
| Professional identity | −0.41** (0.15) | −0.62*** (0.12) | −0.41*** (0.12) |
| Gender (ref: female) | −5.80*** (1.72) | −2.14 (1.48) | 3.97* (1.52) |
| Age | 0.45 (1.44) | 2.34 (1.23) | −1.43 (1.27) |
| Team understanding | 0.17 (0.18) | 0.08 (0.15) | −0.10 (0.15) |
| Group (ref: Aligned) | −2.68 (2.61) | −4.60* (2.04) | −0.76 (2.09) |
| Group * time | 1.92* (0.88) | 1.66* (0.72) | 0.66 (0.73) |
|
| Variance (SD) | Variance (SD) | Variance (SD) |
| Intercept | 81.02*** (9.0) | 30.49*** (5.52) | 57.63*** (7.59) |
| Time (slope) | 2.06 (1.43) | 0.81 0.9) | 3.37 (1.84) |
| Residual (error) | 106.77(10.33) | 75.07 (8.66) | 63.75 (7.98) |
| R2 marginal (fixed) | 0.39 | 0.46 | 0.24 |
| R2 conditional (fixed and random) | 0.65 | 0.70 | 0.64 |
*P<0.05, **P<0.01, ***P<0.001.
The significance of the fixed effect was assessed with the Wald test conducted on the full model, whereas the significance of the random intercept and slope effects was assessed with likelihood testing using residual maximum likelihood (REML) estimation. For each components of burnout, the corresponding marginal and conditional values were computed based on the method developed by Nakagawa and Schielzeth.65
Figure 1Assistantship alignment and time: association with personal and work-related burnout.