| Literature DB >> 35128517 |
Erick Wesley Hedima1, Roland Nnaemeka Okoro2, Gambo Amanda Yelmis3, Habiba Adam4.
Abstract
OBJECTIVES: To explore the impact of the COVID-19 pandemic and work on the mental health and wellbeing of pharmacists in Nigeria and investigate the risk of exhaustion, disengagement, burnout, and their associated factors.Entities:
Keywords: Burnout; Disengagement; Exhaustion; Mental health; Nigeria; Pharmacists; Wellbeing
Year: 2022 PMID: 35128517 PMCID: PMC8800499 DOI: 10.1016/j.rcsop.2022.100109
Source DB: PubMed Journal: Explor Res Clin Soc Pharm ISSN: 2667-2766
Socio-demographics characteristics of the respondents (N = 426).
| Variables | Frequency | Percent |
|---|---|---|
| Age group (years) | ||
| <36 | 275 | 64.6 |
| 36–55 | 127 | 29.8 |
| >55 | 24 | 5.6 |
| Sex | ||
| Female | 167 | 39.2 |
| Male | 259 | 60.8 |
| Marital status | ||
| Single | 187 | 43.9 |
| Married | 239 | 56.1 |
| Highest qualification | ||
| B. Pharm/PharmD | 275 | 64.6 |
| MSc/M. Pharm/Fellowship/PhD | 151 | 35.4 |
| Practice setting | ||
| Community | 82 | 19.2 |
| Hospital | 231 | 54.2 |
| Academic/Educational body | 88 | 20.7 |
| Pharmaceutical industry | 19 | 4.5 |
| Primary care | 6 | 1.4 |
| Years of practice as a licensed pharmacist | ||
| <5 | 152 | 35.7 |
| 5–10 | 113 | 26.5 |
| >10 | 161 | 37.8 |
| Current employment status | ||
| Full-Time | 309 | 72.5 |
| Part-Time | 117 | 27.5 |
B. Pharm: Bachelor of Pharmacy; MSc: Master of Science; M. Pharm: Master of Pharmacy; PharmD: Doctor of Pharmacy; Ph.D.: Doctor of Philosophy.
Fig. 1Respondents' rating of their work enjoyment.
Fig. 2Time taken off work (due to sick leave) by the respondents.
Fig. 3Respondents considerations on leaving their job or the pharmacy profession.
Fig. 4Prevalence of the risk of exhaustion, disengagement, and burnout in the study population.
Fig. 5Reported reasons for burnout. #Multiple responses were allowed.
Factors associated with exhaustion, disengagement, and burnout among the respondents.
| Exhaustion | Disengagement | Burnout | |||||
|---|---|---|---|---|---|---|---|
| Variable | Mean (SD) | Mean (SD) | P value | No | Yes | P value | |
| Age group (years) | |||||||
| <36 | 20.4 (3.2) | 0.005 | 18.9 (2.7) | <0.001 | 85 (59.0) | 190 (67.4) | 0.055c |
| 36–55 | 19.4 (4.4) | 17.8 (2.9) | 46 (31.9) | 81 (28.7) | |||
| >55 | 18.6 (2.7) | 17.7 (2.5) | 13 (9.0) | 11 (3.9) | |||
| Sex | |||||||
| Female | 20.8 (3.5) | <0.001 | 18.6 (2.8) | 0.837b | 55 (38.2) | 112 (39.7) | 0.761c |
| Male | 19.5 (3.6) | 18.5 (2.7) | 89 (61.8) | 170 (60.3) | |||
| Marital status | |||||||
| Single | 20.6 (3.1) | 0.002 | 18.8 (2.6) | 0.064b | 69 (47.9) | 118 (41.8) | 0.232c |
| Married | 19.5 (3.9) | 18.3 (2.9) | 75 (52.1) | 164 (58.2) | |||
| Highest qualification | |||||||
| BPharm/PharmD | 20.8 (3.4) | <0.001 | 19.2 (2.5) | <0.001 | 76 (52.8) | 199 (70.6) | <0.001 |
| MSc/MPharm/Fellowship/PhD | 18.6 (3.7) | 17.2 (2.8) | 68 (47.2) | 83 (29.4) | |||
| Practice setting | |||||||
| Community | 19.9 (3.8) | <0.001 | 18.3 (2.5) | <0.001 | 30 (20.8) | 52 (18.4) | <0.001 |
| Hospital | 20.8 (3.5) | 19.1 (2.8) | 54 (37.5) | 177 (62.8) | |||
| Academic/Educational body | 18.3 (3.3) | 17.0 (2.5) | 55 (38.2) | 33 (11.7) | |||
| Pharmaceutical industry | 18.3 (2.9) | 19.7 (2.4) | 5 (3.5) | 14 (5.0) | |||
| Primary care settings | 20.3 (1.5) | 18.3 (2.1) | 0 (0.0) | 6 (2.1) | |||
| Years of practice as a licensed pharmacist | |||||||
| 0–4 | 21.3 (3.4) | 0.006 | 19.0 (2.8) | <0.001 | 47 (32.6) | 105 (37.2) | 0.476c |
| 5–9 | 19.4 (3.4) | 18.5 (2.9) | 37 (25.7) | 76 (27.0) | |||
| ≥10 | 19.1 (3.6) | 18.0 (2.5) | 60 (41.7) | 101 (35.8) | |||
| Employment type | |||||||
| Full-time | 18.2 (2.7) | <0.001 | 19.7 (3.7) | <0.001 | 117 (81.2) | 192 (68.1) | 0.004 |
| Part-time | 19.4 (2.7) | 20.6 (3.2) | 27 (18.8) | 90 (31.9) | |||
Significant at p < 0.05; SD: Standard Deviation; B. Pharm: Bachelor of Pharmacy; MSc: Master of Science; M. Pharm: Master of Pharmacy; PharmD: Doctor of Pharmacy; Ph.D.: Doctor of Philosophy.
ANOVA for variables with more than two groups; bIndependent t-test for variables with two groups; cChi-square test.
| Item | Strongly agree | Agree | Disagree | Strongly disagree | |
|---|---|---|---|---|---|
| 17. | I always find new and interesting aspects in my work (D) | 1 | 2 | 3 | 4 |
| 18. | There are days when I feel tired before I arrive at work (E.R) | 1 | 2 | 3 | 4 |
| 19. | It happens more and more often that I talk about my work in a negative way (D.R) | 1 | 2 | 3 | 4 |
| 20. | After work I tend to need more time than in the past in order to relax and feel better (E.R) | 1 | 2 | 3 | 4 |
| 21. | I can tolerate the pressure of my work very well (E) | 1 | 2 | 3 | 4 |
| 22. | Lately I tend to think less at work and do my job almost mechanically (D.R) | 1 | 2 | 3 | 4 |
| 23. | I find my work to be a positive challenge (D) | 1 | 2 | 3 | 4 |
| 24. | During my work I often feel emotionally drained (E.R) | 1 | 2 | 3 | 4 |
| 25. | Over time I can become disconnected from my type of work (D.R) | 1 | 2 | 3 | 4 |
| 26. | After working I have enough energy for my leisure activities (E) | 1 | 2 | 3 | 4 |
| 27. | Sometimes I feel sickened by my work tasks (D.R) | 1 | 2 | 3 | 4 |
| 28. | After my work I usually feel worn out and weary (E.R) | 1 | 2 | 3 | 4 |
| 29. | This is the only type of work that I can imagine myself doing (D) | 1 | 2 | 3 | 4 |
| 30. | Usually, I can manage the amount of my work well (E) | 1 | 2 | 3 | 4 |
| 31. | I feel more and more engaged with my work (D) | 1 | 2 | 3 | 4 |
| 32. | When I work I usually feel energized (E) | 1 | 2 | 3 | 4 |
Note: Disengagement items are 17, 19(R), 22(R), 23, 25(R), 27(R), 29, 31.
Exhaustion items are 18(R), 20(R), 21, 24(R), 26, 28(R), 30, 32.
(R) means reversed item when the scores should be such that higher scores indicate more burnout.