Understanding the Links between Inferring Mental States, Empathy, and Burnout in Medical Contexts
Abstract
1. Introduction
2. Materials and Methods
2.1. Procedure and Participants
2.2. Ethical Approval
2.3. Instruments
3. Results
3.1. Descriptive Statistics and Zero-Order Correlations
3.2. Paths from Empathy to Burnout
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Paths | Estimate | z-Value | P (>|z|) | Std | 95% CI |
---|---|---|---|---|---|
EmoCon→EmoExh | 0.085 | 0.991 | 0.991 | 0.085 | [−0.083, 0.252] |
PerTak→EmoExh | 0.085 | −0.397 | 0.692 | −0.034 | [−0.201, 0.134] |
PerDis→EmoExh | 0.077 | 3.905 | 0.000 | 0.302 | [0.150, 0.454] |
EmoCon→InfMen | 0.072 | 4.292 | 0.000 | 0.307 | [0.167, 0.447] |
PerTak→InfMen | 0.074 | 4.371 | 0.000 | 0.323 | [0.178, 0.467] |
PerDis→InfMen | 0.079 | −0.478 | 0.633 | −0.038 | [−0.192, 0.116] |
EmoExh→InfMen | 0.094 | 1.565 | 0.118 | 0.147 | [−0.037, 0.331] |
Paths | Estimate | z-Value | P (>|z|) | Std | 95% CI |
---|---|---|---|---|---|
EmoCon→PerAcc | 0.070 | 1.195 | 0.232 | 0.084 | [−0.054, 0.022] |
PerTak→PerAcc | 0.069 | 3.442 | 0.001 | 0.237 | [0.102, 0.372] |
PerDis→PerAcc | 0.071 | −3.710 | 0.000 | −0.263 | [−0.401, −0.124] |
EmoCon→InfMen | 0.070 | 4.563 | 0.000 | 0.322 | [0.183, 0.460] |
PerTak→InfMen | 0.077 | 3.917 | 0.000 | 0.302 | [0.151, 0.453] |
PerDis→InfMen | 0.073 | −0.626 | 0.531 | −0.045 | [−0.188, 0.097] |
PerAcc→InfMen | 0.085 | 2.616 | 0.009 | 0.223 | [0.056, 0.390] |
Paths | Estimate | z-Value | P (>|z|) | Std | 95% CI |
---|---|---|---|---|---|
EmoCon→Dep | 0.102 | −1.451 | 0.147 | −0.148 | [−0.347, 0.052] |
PerTak→Dep | 0.089 | −2.510 | 0.012 | −0.224 | [−0.399, −0.049] |
PerDis→Dep | 0.078 | 1.049 | 0.294 | 0.082 | [−0.071, 0.234] |
EmoCon→InfMen | 0.067 | 4.727 | 0.000 | 0.315 | [0.185, 0.446] |
PerTak→InfMen | 0.073 | 4.334 | 0.000 | 0.317 | [0.173, 0.460] |
PerDis→InfMen | 0.075 | −0.575 | 0.565 | −0.043 | [−0.191, 0.105] |
Dep→InfMen | 0.101 | 0.209 | 0.834 | 0.021 | [−0.177, 0.220] |
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Frequency (n) | Percentage (%) | Mean | SD | Range | |
---|---|---|---|---|---|
Age | 44.6 | 10.46 | 23–65 | ||
Gender | |||||
Female | 142 | 77.2 | |||
Male | 42 | 22.8 | |||
Working experience (years) | |||||
Nurses | 105 | 56.8 | 19.24 | 11.31 | 1–41 |
Doctors | 56 | 30.3 | 20.80 | 9.88 | 1–40 |
Nursing assistants | 13 | 7.6 | 13.69 | 11.31 | 1–33 |
Other categories | 10 | 5.4 | 20.30 | 9.35 | 2–33 |
Current specialty | |||||
Emergency and intensive care | 47 | 25.54 | |||
Surgery and medical specialties | 30 | 16.30 | |||
Primary care | 28 | 15.28 | |||
Outpatient consultation, outpatient specialty clinic, central clinical division | 26 | 14.13 | |||
Pediatrics and gynecology | 15 | 8.15 | |||
Palliative care | 14 | 7.61 | |||
Mental health | 10 | 5.43 | |||
Others | 14 | 7.61 |
Mean | SD | MenSta | PerTak | EmoCon | PerDis | EmoExh | Dep | PerAcc | |
---|---|---|---|---|---|---|---|---|---|
MenSta | 3.88 | 0.66 | - | ||||||
PerTak | 3.73 | 0.77 | 0.41 *** | - | |||||
EmoCon | 4.00 | 0.74 | 0.40 *** | 0.30 *** | - | ||||
PerDis | 1.99 | 0.70 | −0.13 | −0.23 *** | −0.08 | - | |||
EmoExh | 3.40 | 1.68 | 0.14 | 0.01 | 0.11 | 0.27 *** | - | ||
Dep | 2.46 | 1.52 | −0.14 | −0.29 *** | −0.19 ** | 0.14 | 0.47 *** | - | |
PerAcc | 6.14 | 0.99 | 0.38 *** | 0.42 ** | 0.27 *** | −0.35 *** | −0.29 *** | −0.41 *** | - |
Estimate | z-Value | P (>|z|) | Std | 95% CI | |
---|---|---|---|---|---|
Paths for Emotional Exhaustion | |||||
PerTak→InfMen→EmoExh | 0.047 | 1.334 | 0.166 | 0.036 | [−0.022, 0.117] |
EmoCon→InfMen→EmoExh | 0.045 | 1.403 | 0.138 | 0.032 | [−0.018, 0.108] |
PerDis→InfMen→EmoExh | −0.006 | −0.459 | 0.653 | 0.012 | [−0.029, 0.018] |
Paths for Personal Accomplishment | |||||
PerTak→InfMen→PerAcc | 0.067 | 2.221 | 0.026 | 0.030 | [0.008, 0.127] |
EmoCon→InfMen→PerAcc | 0.072 | 2.338 | 0.019 | 0.031 | [0.012, 0.132] |
PerDis→InfMen→PerAcc | −0.010 | −0.574 | 0.566 | 0.018 | [−0.045, 0.024] |
Paths for Depersonalization | |||||
PerTak→InfMen→Dep | 0.007 | 0.208 | 0.835 | 0.032 | [−0.056, 0.070] |
EmoCon→InfMen→Dep | 0.007 | 0.209 | 0.835 | 0.032 | [−0.056, 0.069] |
PerDis→InfMen→Dep | −0.001 | −0.196 | 0.845 | 0.005 | [−0.010, 0.008] |
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Delgado, N.; Bonache, H.; Betancort, M.; Morera, Y.; Harris, L.T. Understanding the Links between Inferring Mental States, Empathy, and Burnout in Medical Contexts. Healthcare 2021, 9, 158. https://doi.org/10.3390/healthcare9020158
Delgado N, Bonache H, Betancort M, Morera Y, Harris LT. Understanding the Links between Inferring Mental States, Empathy, and Burnout in Medical Contexts. Healthcare. 2021; 9(2):158. https://doi.org/10.3390/healthcare9020158
Chicago/Turabian StyleDelgado, Naira, Helena Bonache, Moisés Betancort, Yurena Morera, and Lasana T. Harris. 2021. "Understanding the Links between Inferring Mental States, Empathy, and Burnout in Medical Contexts" Healthcare 9, no. 2: 158. https://doi.org/10.3390/healthcare9020158
APA StyleDelgado, N., Bonache, H., Betancort, M., Morera, Y., & Harris, L. T. (2021). Understanding the Links between Inferring Mental States, Empathy, and Burnout in Medical Contexts. Healthcare, 9(2), 158. https://doi.org/10.3390/healthcare9020158