| Literature DB >> 35178016 |
Carla Serrão1,2, Vera Martins3, Carla Ribeiro4, Paulo Maia5, Rita Pinho3, Andreia Teixeira3,6,7, Luísa Castro3,6,8, Ivone Duarte3,6.
Abstract
BACKGROUND: In the last 2 weeks of January 2021, Portugal was the worst country in the world in incidence of infections and deaths due to COVID-19. As a result, the pressure on the healthcare system increased exponentially, exceeding its capacities and leaving hospitals in near collapse. This scenario caused multiple constraints, particularly for hospital medical staff. Previous studies conducted at different moments during the pandemic reported that COVID-19 has had significant negative impacts on healthcare workers' psychological health, including stress, anxiety, depression, burnout, post-traumatic stress symptoms, and sleep disturbances. However, there are many uncertainties regarding the professional quality of life of hospital nurses and physicians. To address gaps in previous research on secondary traumatic stress, we focused on healthcare workers working in hospitals affected by a major traumatic event: the third wave of COVID-19.Entities:
Keywords: COVID-19; burnout; compassion fatigue; compassion satisfaction; nurses; physicians; professional quality of life (ProQOL-5); secondary traumatic stress
Year: 2022 PMID: 35178016 PMCID: PMC8845595 DOI: 10.3389/fpsyg.2022.814109
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Demographic and professional characteristics (n = 853).
| Characteristics/Variables | Total ( | Directly involved in caring for COVID-19 patients ( | Not directly involved in caring for COVID-19 patients ( | |
| Age (years), Med [Q1; Q3] | 37 [31; 46] | 37 [30; 44] | 38 [32; 47] | 0.007 |
| Gender, n (%) | 0.320 | |||
| Female | 693 (81.2) | 368 (53.1) | 325 (46.9) | |
| Male | 160 (18.8) | 78 (48.8) | 82 (51.2) | |
| Occupation, n (%) | 0.004 | |||
| Nurse | 586 (68.7) | 326 (55.6) | 260 (44.4) | |
| Physician | 267 (31.3) | 120 (44.9) | 147 (55.1) | |
| Marital status, n (%) | 0.508 | |||
| Married or non-marital partnership | 493 (57.8) | 253 (51.3) | 240 (48.7) | |
| Single or divorced or widowed | 360 (42.2) | 193 (53.6) | 167 (46.4) | |
| Parents, n (%) | 0.260 | |||
| No | 428 (50.2) | 232 (54.2) | 196 (45.8) | |
| Yes | 425 (49.8) | 214 (50.4) | 211 (49.6) | |
| Education level, n (%) | 0.110 | |||
| Graduate and post-graduate | 536 (62.8) | 290 (54.1) | 246 (45.9) | |
| Master | 286 (33.5) | 136 (47.6) | 150 (52.4) | |
| Doctorate degree | 6 (0.7) | 5 (83.3) | 1 (16.7) | |
| Others | 25 (2.9) | 15 (60.0) | 10 (40.0) | |
| Length of work experience, n (%) | 0.011 | |||
| Five years or less | 185 (21.7) | 97 (52.4) | 88 (47.6) | |
| From 6 to 10 years | 150 (17.6) | 96 (64.0) | 54 (36.0) | |
| From 11 to 15 years | 155 (18.2) | 79 (51.0) | 76 (49.0) | |
| More than 15 years | 363 (42.6) | 174 (47.9) | 189 (52.1) | |
| Length of service in current unit, n (%) | 0.229 | |||
| 6 months or less | 109 (12.8) | 61 (56.0) | 48 (44.0) | |
| Between 6 months and 1 year | 117 (13.7) | 71 (60.7) | 46 (39.3) | |
| Between 2 and 5 years | 216 (25.3) | 113 (52.3) | 103 (47.7) | |
| Between 6 and 10 years | 126 (14.8) | 62 (49.2) | 64 (50.8) | |
| Between 11 and 15 years | 100 (11.7) | 53 (53.0) | 47 (47.0) | |
| More than 15 years | 185 (21.7) | 86 (46.5) | 99 (53.5) | |
| Working hours per week ( | ||||
| Group 1 | 296 (35.1) | 115 (26.2) | 181 (44.8) | <0.001 |
| Group 2 | 412 (48.9) | 240 (54.7) | 172 (42.6) | |
| Group 3 | 135 (16.0) | 84 (19.1) | 51 (12.6) | |
| Diagnosed health problem, n (%) | 0.098 | |||
| No | 637 (74.7) | 344 (54.0) | 293 (46.0) | |
| Yes | 216 (25.3) | 102 (47.2) | 114 (52.8) | |
| Exercises managerial duties, n (%) | 0.220 | |||
| No | 764 (89.6) | 405 (53.0) | 359 (47.0) | |
| Yes | 89 (10.4) | 41 (46.1) | 48 (53.9) |
Professional quality of life—COVID or NOT_COVID.
| Variables | Variables | COVID | NOT-COVID | |||
| Med [Q1; Q3] | N (%) | Med [Q1; Q3] | N (%) | |||
| Compassion satisfaction | Low | 37 [33; 41] | 10 (2.2) | 37 [33; 41] | 4 (1.0) | 0.631 |
| Medium | 356 (79.8) | 328 (80.6) | ||||
| High | 80 (17.9) | 75 (18.4) | ||||
| Secondary traumatic stress | Low | 26 [22; 29] | 133 (29.8) | 25 [22; 29] | 123 (30.2) | 0.424 |
| Medium | 311 (69.7) | 281 (69.0) | ||||
| High | 2 (0.4) | 3 (0.7) | ||||
| Burnout | Low | 26 [22; 30] | 121 (27.1) | 25 [22; 29] | 116 (28.5) | 0.387 |
| Medium | 323 (72.4) | 290 (71.3) | ||||
| High | 2 (0.4) | 1 (0.2) | ||||
Regression coefficients for professional quality of life subscales as outcomes and socio-demographic, and professional variables as predictors from univariate simple and multiple linear regressions.
| Variables | Compassion satisfaction β [95% CI] | Secondary traumatic stress β [95% CI] | Burnout β [95% CI] |
| Parents | |||
| No |
| ||
| Yes | 1.31 [0.53; 2.09] | ||
| Gender | |||
| Male |
| ||
| Female | 2.33 [1.33; 3.33] | ||
| Work experience | |||
| Five years or less |
| ||
| From 6 to 10 years | 1.33 [0.06; 2.59] | ||
| From 11 to 15 years | −0.06 [−1.31; 1.19] | ||
| More than 15 years | −0.07 [−1.11; 0.97] | ||
| Working hours | |||
| Group 1 |
| ||
| Group 2 | 0.67 [−0.20; 1.54] | ||
| Group 3 | 1.72 [0.53; 2.91] | ||
|
| 0.0126 | 0.024 | 0.0194 |
|
| 10.8 | 20.9 | 3.30 |
CI, confidence interval.
*p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001.