| Literature DB >> 35055746 |
Silvia Vicentini1, Arianna Mercurio1, Carolina Romascu1, Martina Battaglia1, Noemi Tribbia1, Francesca Siviero1, Antonello Grossi1, Maria Maddalena Martucci1, Diego De Leo2.
Abstract
Background: The COVID-19 pandemic has strongly impacted on healthcare services' organization and healthcare workers' mental health, increasing the risk of psychological symptoms and burnout. Italy has been one of the most affected countries, especially the northern regions, even with exceptions in some rural provinces. Aim: We chose to investigate the mental health conditions of healthcare workers operating in the rural province of Rovigo (a small town in Veneto, northern Italy), where relatively few deaths and contagions were reported during the pandemic, even if Veneto-globally-was one of the most affected regions of Italy. We wanted to verify the psychological outcomes of health workers operating in a context where the impact of the pandemic appeared to be relatively mild.Entities:
Keywords: COVID-19; Italy; healthcare workers; mental health; online survey
Mesh:
Year: 2022 PMID: 35055746 PMCID: PMC8775553 DOI: 10.3390/ijerph19020927
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Original (N = 749) and clean (N = 640) sample characteristics.
| Characteristic | Original Sample | Clean Sample |
|---|---|---|
| Sex | ||
| Females | 575 (76.8%) | 485 (75.78%) |
| Males | 174 (23.2%) | 155 (24.22%) |
| Age | ||
| 20–29 | 51 (6.81%) | 38 (5.94%) |
| 30–39 | 118 (15.75%) | 109 (17.03%) |
| 40–49 | 169 (22.56%) | 150 (23.44%) |
| 50–59 | 311 (41.52%) | 261 (40.78%) |
| 60–70 | 100 (13.35%) | 82 (12.81%) |
| Job position | ||
| Hospital workers | 291 (38.85%) | 257 (40.16%) |
| Community workers | 218 (29.12%) | 177 (27.66%) |
| Frontliners | 112 (14.95%) | 94 (14.69%) |
| Administration workers | 103 (13.75%) | 89 (13.91%) |
| Others | 19 (2.54%) | 18 (2.81%) |
| Not fully employed | 6 (0.80%) | 5 (0.78%) |
| Educational level | ||
| PhD | 8 (1.1%) | 7 (1.09%) |
| Post lauream master | 86 (11.35%) | 75 (11.72%) |
| University | 393 (52.45%) | 344 (53.75%) |
| High School | 221 (29.51%) | 185 (28.91%) |
| Middle School | 37 (5%) | 25 (3.91%) |
| Children | ||
| Yes | 495 (66.09%) | 416 (65%) |
| No | 254 (33.91%) | 224 (35%) |
| Social status | ||
| Married | 434 (58%) | 377 (58.91%) |
| In a relationship | 124 (16.55%) | 102 (15.94%) |
| Single | 100 (13.35%) | 89 (13.91%) |
| Divorced | 76 (10.15%) | 62 (9.69%) |
Absolute frequencies (No.) and percentages (%) of significant chi-square associations based on clean data.
| Question | Option | Categories | No. (%) |
| |
|---|---|---|---|---|---|
| 2. How do you cope with the pandemic difficulties? | Discussing with family and friends | Females | 233 (48.04%) | 7.77 (1, 1110) | =0.005 |
| Males | 49 (31.61%) | ||||
| 3. Did you have the opportunity to ask for help for the pandemic difficulties? | No, I did not ask for help | Females | 158 (32.58%) | 25.34 (1, 894) | <0.001 |
| Males | 79 (50.97%) | ||||
| Yes, I did from colleagues | Females | 137 (28.25%) | 7.22 (1, 894) | =0.007 | |
| Males | 21 (13.55%) | ||||
| 11. Did you feel professionally prepared to deal with the pandemic emergency? | Yes, I did because I know how to intervene in critical situations because of my long professional experience | Females | 54 (11.13%) | 12.93 (1, 737) | <0.001 |
| Males | 38 (25%) | ||||
| Despite my long professional experience, I was not prepared to face a such severe condition | Females | 277 (57.11%) | 11.80 (1, 737) | <0.001 | |
| Males | 68 (43.87%) | ||||
| I felt prepared, but not supported by the organization | Females | 8 (12%) | 9.7 (1, 737) | =0.002 | |
| Males | 38 (25%) | ||||
| 10. Did you change working area during the pandemic? | No, I didn’t | Non frontliners | 352 (67.30%) | 19.60 (1, 652) | <0.001 |
| Frontliners | 46 (48.94%) | ||||
| 11. Did you feel professionally prepared to deal with the pandemic emergency? | I felt prepared, but not supported by the organization | Non frontliners | 65 (12.43%) | 10.08 (1, 652) | =0.001 |
| Frontliners | 27 (28.72%) | ||||
| 12. Did you perceive an increased psychophysical distress? | No, I didn’t | Non frontliners | 150 (26.68%) | 7.46 (1, 1008) | =0.006 |
| Frontliners | 16 (17.02%) | ||||
| Yes, I did because of the heavy workload | Non frontliners | 141 (27%) | 5.37 (1, 1008) | =0.02 | |
| Frontliners | 43 (45.74%) | ||||
| 2. How do you cope with the pandemic difficulties? | Keeping myself informed | 20–29 y | 13 (34.21%) | 11 (4, 1110) | =0.03 |
| 30–39 y | 42 (38.53%) | ||||
| 40–49 y | 75 (50%) | ||||
| 50–59 y | 142 (54.41%) | ||||
| 60–70 y | 48 (58.54%) | ||||
| 3. Did you have the opportunity to ask for help for the pandemic difficulties? | No, I did not ask for help | 20–29 y | 4 (10.53%) | 36.77 (4, 894) | <0.001 |
| 30–39 y | 36 (33.03%) | ||||
| 40–49 y | 50 (33.33%) | ||||
| 50–59 y | 103 (39.46%) | ||||
| 60–70 y | 44 (53.66%) | ||||
| Yes, I did from friends | 20–29 y | 17 (44.74%) | 23.68 (4, 894) | <0.001 | |
| 30–39 y | 28 (25.69%) | ||||
| 40–49 y | 36 (24%) | ||||
| 50–59 y | 35 (13.41%) | ||||
| 60–70 y | 7 (8.54%) | ||||
| 7. What did you perceive relevant for your personal wellbeing during restrictions? | Spending my time in family | 20–29 y | 7 (18.42%) | 9.99 (4, 1382) | =0.04 |
| 30–39 y | 53 (48.62%) | ||||
| 40–49 y | 75 (50%) | ||||
| 50–59 y | 105 (44.44%) | ||||
| 60–70 y | 26 (31.70%) | ||||
| 11. Did you feel professionally prepared to deal with the pandemic emergency? | No, I didn’t because it’s my first professional experience | 20–29 y | 13 (34.21%) | 54.45 (4, 737) | <0.001 |
| 30–39 y | 6 (5.50%) | ||||
| 40–49 y | 6 (4%) | ||||
| 50–59 y | 10 (3.83%) | ||||
| 60–70 y | 2 (2.44%) | ||||
| 12. Did you perceive an increased psychophysical distress? | No, I don’t | 20–29 y | 3 (7.89%) | 44.54 (1, 1054) | <0.001 |
| 30–39 y | 18 (16.51%) | ||||
| 40–49 y | 32 (21.33%) | ||||
| 50–59 y | 86 (32.95%) | ||||
| 60–70 y | 31 (37.80%) |
The clean sample size is 640 for the comparison by sex and age (see Table 1 for details) and 617 for the comparison by work department. “Frontliners” are those who work in COVID-19 wards (n = 94). “Non frontliners” are administration, community and hospital workers (n = 523).