Table 3 Structural equation model of association between burnout and working motivation (N = 220).
Standardized Coeffcients | SE | z | P-value | 95% CI | ||
---|---|---|---|---|---|---|
Structural paths | ||||||
Burnout -> motivation | −0.63 | 0.07 | −9.33 | < 0.001 | −0.77 | −0.50 |
Measurement paths | ||||||
Severe emotional exhaustion -> Burnout | 0.63 | 0.05 | 12.18 | < 0.001 | 0.53 | 0.73 |
Severe depersonalisation -> Burnout | 0.86 | 0.05 | 16.91 | < 0.001 | 0.76 | 0.96 |
Severe lack of personal accomplishment -> Burnout | 0.34 | 0.07 | 4.96 | < 0.001 | 0.20 | 0.47 |
Motivation1 -> Motivation | 0.62 | 0.04 | 14.33 | < 0.001 | 0.53 | 0.70 |
Motivation2 -> Motivation | 0.90 | 0.01 | 63.63 | < 0.001 | 0.87 | 0.93 |
Motivation3 -> Motivation | 0.79 | 0.03 | 30.65 | < 0.001 | 0.74 | 0.85 |
Motivation4 -> Motivation | 0.90 | 0.01 | 62.94 | < 0.001 | 0.87 | 0.92 |
Motivation5 -> Motivation | 0.90 | 0.01 | 63.36 | < 0.001 | 0.87 | 0.93 |
Motivation6 -> Motivation | 0.96 | 0.01 | 141.03 | < 0.001 | 0.95 | 0.97 |
Motivation7 -> Motivation | 0.86 | 0.02 | 47.66 | < 0.001 | 0.83 | 0.90 |
Motivation8 -> Motivation | 0.93 | 0.01 | 95.75 | < 0.001 | 0.92 | 0.95 |
Confounders | ||||||
Age (year) | 0.40 | 0.19 | 2.14 | 0.03 | 0.03 | 0.77 |
Sex | 0.02 | 0.06 | 0.34 | 0.73 | −0.10 | 0.14 |
Educational level | 0.01 | 0.07 | 0.16 | 0.87 | −0.13 | 0.15 |
Monthly income (RMB) | 0.08 | 0.07 | 1.25 | 0.21 | −0.05 | 0.22 |
Title | −0.07 | 0.09 | −0.78 | 0.43 | −0.25 | 0.11 |
Working experience (year) | −0.26 | 0.20 | −1.33 | 0.19 | −0.64 | 0.12 |
Resident area | 0.00 | 0.08 | −0.03 | 0.98 | −0.16 | 0.15 |
The type of health care institution | 0.06 | 0.08 | 0.80 | 0.42 | −0.09 | 0.22 |
The level of health care institution | 0.06 | 0.08 | 0.69 | 0.49 | −0.10 | 0.21 |
The character of health care institution | 0.01 | 0.08 | 0.18 | 0.86 | −0.14 | 0.17 |
Weekly working hours | 0.10 | 0.06 | 1.62 | 0.11 | −0.02 | 0.23 |
Number of patients serviced per week | −0.06 | 0.07 | −0.89 | 0.37 | −0.20 | 0.07 |