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