Submitted:
20 June 2024
Posted:
21 June 2024
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Abstract
Keywords:
1. Introduction
Significance of the Study
Theoretical Framework
2. Materials and Methods
Study Site
Study Design and Population
Inclusion and Exclusion Criteria
Sampling Methods
Ethical Approval
Sample size Determination
Data Analysis
3. Results
Concept of Emotional Labor Force among Nurses and Clinicians and Its Implications on Their Well-Being and Job Performance
“The comfort and happiness of my patient is my first priority, … one of my job’s standards is to suppress my negative emotions and express myself in a way that is acceptable to my patients, therefore even if the patient said anything that made me feel upset, I still try to console and ease their pain.”(Participant 2, FGD 2)
Implications of Emotional Disturbance
“Whenever I am emotionally disturbed, I get irritated, overthink everything, and worry about my job, which makes me quite tired by the end of the day.”(Participant 2, FDH 3)
“There are instances when being disturbed makes me moody, which reduces my performance at work and the quality of care I provide to my patients.”(Participant 4, FDG 2)
Factors Associated with Emotional Disturbance

“We always try to avoid a scenario as much as we can, we manage our emotions, and occasionally, we employ counseling to help the offender and the offended come to an understanding.”(Participant 5, FDG 2)

“In order to prevent emotional harm that results in bad emotional wellness and the nurse-patient connection, I wanted to emphasize that if training were implemented for the emotional labor force, it would assist us to be conscious of our emotions, how to deal with them, and where to go if such situations arise.”(Participant 1, FGD 3)
“I wanted to make the point that it would be beneficial if we could have well-trained health professionals who could offer emotional support and conduct mental health and wellbeing screenings, as doing so could improve the standard of treatment provided to patients.”(Participant, 7 FGD 1)
4. Discussion
5. Conclusions
Funding
Acknowledgments
Declaration for Human Participants
Conflicts of Interests
Data availability
Authors’ contributions
References
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| Variable | n | Proportion | 95% LCL | 95% UCL |
| Gender | ||||
| Male | 33 | 39% | 29% | 50% |
| Female | 51 | 61% | 50% | 71% |
| Age range in years | ||||
| 20 - 29 | 23 | 27% | 19% | 38% |
| 30 - 39 | 40 | 48% | 37% | 58% |
| 40 - 49 | 16 | 19% | 12% | 29% |
| 50 - 59 | 5 | 6% | 2% | 14% |
| Education level | ||||
| Certificate | 9 | 11% | 6% | 19% |
| Diploma | 57 | 68% | 57% | 77% |
| Degree | 18 | 21% | 14% | 32% |
| Marital status | ||||
| Single | 33 | 39% | 29% | 50% |
| Married | 51 | 61% | 50% | 71% |
| Work experience | ||||
| Less than five years | 37 | 44% | 34% | 55% |
| Five to ten years | 27 | 32% | 23% | 43% |
| Ten years above | 20 | 24% | 16% | 34% |
| Cadre | ||||
| Nurse | 62 | 74% | 63% | 82% |
| Clinician | 20 | 24% | 16% | 34% |
| Medical doctor | 2 | 2% | 1% | 9% |
| Department | ||||
| Male ward | 9 | 11% | 6% | 19% |
| Maternity | 31 | 37% | 27% | 48% |
| Pediatric | 10 | 12% | 6% | 21% |
| Female ward | 8 | 10% | 5% | 18% |
| OPD | 23 | 27% | 19% | 38% |
| Theater | 3 | 4% | 1% | 11% |
| LCL = Lower Confidence Level, UCL = Upper Confidence Level | ||||
| Never | 1 - 5 times a month | > 5 times a month | ||
| Emotional disturbance | (n, %) | (n, %) | (n, %) | p value |
| Emotionally tired | 11(13%) | 50(60%) | 23(27%) | <0.001* |
| Depression | 62(74%) | 18(21%) | 4(5%) | <0.001* |
| Verbal abuse | 10(12%) | 49(58%) | 25(30%) | <0.001* |
| Physical abuse | 81(96%) | 3(4%) | <0.001* | |
| Stress and anger | 10(12%) | 48(57%) | 26(31%) | <0.001* |
| Emotionally tired | Depression | Verbal abuse | Physical abuse | Stress and anger | |
| Variable | χ2(p value) | χ2 (p value) | χ2 (p value) | χ2 (p value) | χ2 (p value) |
| Sex | 2.321 (0.313) | 4.951 (0.084**) | 1.565 (0.457) | 0.046 (0.830) | 4.208 (0.122) |
| Age | 12.027 (0.061**) | 13.536 (0.035*) | 7.947 (0.242) | 4.874 (0.181) | 12.358 (0.054**) |
| Education | 6.226 (0.183) | 9.225 (0.056**) | 2.307 (0.679) | 0.54 (0.763) | 3.611 (0.461) |
| Experience | 5.44 (0.245) | 11.113 (0.025*) | 3.258 (0.516) | 1.104 (0.576) | 10.450 (0.033*) |
| Cardre | 3.302 (0.509) | 9.685 (0.046*) | 3.693 (0.449) | 1.104 (0.576) | 5.761 (0.218) |
| Department | 8.477 (0.004*) | 17.33 (0.067**) | 14.98 (0.035*) | 2.876 (0.071**) | 27.472 (0.002*) |
| Work environment | 5.433 (0.246) | 5.751 (0.218) | 5.183 (0.269) | 0.203 (0.903) | 5.888 (0.208) |
| Staffing | 2.358 (0.308) | 10.733 (0.005*) | 2.099 (0.350) | 0.283 (0.595) | 2.069 (0.355) |
| Policies | 6.381 (0.172) | 4.779 (0.311) | 1.786 (0.775) | 12.913 (0.002*) | 2.046 (0.727) |
| Work demand | 2.102 (0.047*) | 9.786 (0.044*) | 4.453 (0.348) | 0.789 (0.674) | 16.384 (0.003*) |
| **Association is significant at p<0.1 level (2-tailed). *Association is significant at p<0.05 level (2-tailed) | |||||
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