| Literature DB >> 35802587 |
Ala Bin Tarif1, Mohannad Ramadan2, Mo Yin3,4,5,6,7, Ghazi Sharkas1, Sami Sheikh Ali1, Mahmoud Gazo1, Ali Zeitawy1, Lora Alsawalha2, Kaiyue Wu8, Alvaro Alonso-Garbayo2, Bassim Zayed8, Lubna Al-Ariqi8, Khalid A Kheirallah9, Maha Talaat8, Arash Rashidian8, Alice Simniceanu3, Benedetta Allegranzi3, Alessandro Cassini3, Saverio Bellizzi2.
Abstract
BACKGROUND: Despite under-reporting, health workers (HWs) accounted for 2 to 30% of the reported COVID-19 cases worldwide. In line with data from other countries, Jordan recorded multiple case surges among HWs.Entities:
Mesh:
Year: 2022 PMID: 35802587 PMCID: PMC9269456 DOI: 10.1371/journal.pone.0271133
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Associations between demographic factors and IPC practices and COVID-19 infection.
| Univariate Analysis | Multivariate Analysis | |||||||
|---|---|---|---|---|---|---|---|---|
| Characteristic | Cases | Controls | OR | 95% CI | p-value | aOR | 95% CI | p-value |
| Gender | ||||||||
| Female | 54 (52.9%) | 156 (60.9%) | - | - | - | - | - | - |
| Male | 48 (47.1%) | 100 (39.1%) | 1.38 | 0.86–2.21 | 0.18 | 1.83 | 0.90–3.73 | 0.10 |
| Education | ||||||||
| Tertiary/University | 92 (90.2%) | 216 (84.4%) | - | - | - | - | - | - |
| Secondary and below | 10 (9.8%) | 40 (15.6%) | 0.5 | 0.24–1.06 | 0.07 | 0.83 | 0.29–2.40 | 0.72 |
| Health worker role | ||||||||
| Medical doctor | 16 (15.7%) | 22 (8.6%) | - | - | - | - | - | - |
| Nurse | 46 (45.1%) | 89 (34.8%) | 0.88 | 0.41–1.87 | 0.73 | 0.88 | 0.27–2.83 | 0.83 |
| Other* | 40 (39.2%) | 145 (56.6%) | 0.40 | 0.19–0.85 | 0.02 | 0.74 | 0.22–2.45 | 0.60 |
| Providing COVID-19 specific care | ||||||||
| Yes | 26 (25.5%) | 47 (18.4%) | - | - | - | - | - | - |
| No | 76 (74.5%) | 209 (81.6%) | 0.61 | 0.35–1.06 | 0.08 | 1.10 | 0.39–3.11 | 0.9 |
| Exposed to COVID-19 patients within 1 meter distance for more than 15 min | ||||||||
| No | 57 (55.9%) | 200 (78.1%) | - | - | - | - | - | - |
| Yes | 31 (30.4%) | 36 (14.1%) | 3.13 | 1.71–5.70 | <0.05 | 2.92 | 1.25–6.86 | 0.01 |
| Missing | 14 (13.7%) | 20 (7.8%) | - | - | - | - | - | - |
| Exposed to COVID-19 patients within 1 meter distance with aerosol procedure | ||||||||
| No | 73 (71.6%) | 204 (79.7%) | - | - | - | - | - | - |
| Yes | 15 (14.7%) | 32 (12.5%) | 1.49 | 0.75–2.96 | 0.26 | 1.61 | 0.50–5.17 | 0.45 |
| Missing | 14 (13.7%) | 20 (7.8%) | - | - | - | - | - | |
| Exposed to surfaces around COVID-19 patients soiled with body fluid | ||||||||
| No | 72 (70.6%) | 204 (79.7%) | - | - | - | - | - | - |
| Yes | 18 (17.6%) | 41 (16.0%) | 1.49 | 0.78–2.84 | 0.22 | 0.49 | 0.17–1.43 | 0.22 |
| Missing | 12 (11.8%) | 11 (4.3%) | - | - | - | - | - | |
| Aware of the hand hygiene five moments | ||||||||
| No | 34 (33.3%) | 113 (44.1%) | - | - | - | - | - | - |
| Yes | 68 (66.7%) | 143 (55.9%) | 2.5 | 1.41–4.41 | <0.05 | 1.99 | 0.87–4.53 | 0.10 |
| Hand hygiene five moments practice | ||||||||
| Always | 61 (59.8%) | 191 (74.6%) | - | - | - | - | - | - |
| Not always | 41 (40.2%) | 65 (25.4%) | 1.76 | 1.03–3.03 | 0.04 | 3.18 | 1.25–8.08 | 0.01 |
| Personal protective equipment available in the facility | ||||||||
| Yes | 85 (83.3%) | 232 (90.6%) | - | - | - | - | - | - |
| No | 17 (16.7%) | 24 (9.4%) | 1.2 | 0.89–3.70 | 0.55 | 1.44 | 0.48–4.34 | 0.58 |
| Received IPC training specific to COVID-19 | ||||||||
| No | 56 (54.9%) | 193 (75.4%) | - | - | - | - | - | - |
| Yes | 46 (45.1%) | 63 (24.6%) | 2.53 | 1.51–4.24 | <0.05 | 1.51 | 0.62–3.65 | 0.41 |
| Received IPC training specific to COVID-19 in person | ||||||||
| Both | 40 (39.2%) | 31 (12.1%) | - | - | - | - | - | - |
| Only practical | 23 (22.5%) | 27 (10.5%) | 0.97 | 0.44–2.14 | 0.95 | 1.36 | 0.47–3.95 | 0.6 |
| Remotely/Theoretical | 23 (22.5%) | 133 (52.0%) | 0.1 | 0.05–0.22 | <0.05 | 0.13 | 0.04–0.40 | <0.05 |
| Don’t know IPC standard | 16 (15.7%) | 65 (25.4%) | 0.16 | 0.07–0.35 | <0.05 | 0.23 | 0.05–1.05 | 0.06 |
| Hours of IPC training | ||||||||
| More than two hours | 44 (43.1%) | 42 (16.4%) | - | - | - | - | - | - |
| Less than two hours | 58 (56.9%) | 214 (83.6%) | 0.25 | 0.14–0.42 | <0.05 | 0.59 | 0.23–1.50 | 0.33 |
*Other included: laboratory personnel, admission and reception clerk, cleaner, radiology technician, patient transporter, phlebotomist, physical therapist, and catering staff
**Confounders included contact covid outside of work, used public transport, had social contact outside of work
Associations between individual IPC practices during contact within 1 metre and SARS-CoV-2 infection.
| Univariate Analysis | Multivariate Analysis | |||||||
|---|---|---|---|---|---|---|---|---|
| Characteristic | Cases | Controls | OR | 95% CI | p-value | aOR | 95% CI | p-value |
| Hand hygiene before providing care | ||||||||
| Not always | 19 (37.3%) | 11 (13.3%) | - | - | - | - | - | - |
| As recommended | 32 (62.7%) | 72 (86.7%) | 0.25 | 0.08–0.75 | 0.01 | 0.23 | 0.04–0.88 | <0.05 |
| Hand hygiene after providing care | ||||||||
| No | 16 (31.4%) | 10 (12.0%) | - | - | - | - | - | - |
| Yes | 35 (68.6%) | 73 (88.0%) | 0.25 | 0.07–0.82 | 0.02 | 0.25 | 0.06–0.99 | 0.05 |
| During aerosol-generating procedure | ||||||||
| No | 36 (70.6%) | 51 (61.4%) | - | - | - | - | - | - |
| Yes | 15 (29.4%) | 32 (38.6%) | 0.69 | 0.30–1.57 | 0.37 | 0.65 | 0.26–2.24 | 0.76 |
| During exposure to surfaces soiled with body fluid | ||||||||
| No | 35 (68.6%) | 52 (62.7%) | - | - | - | - | - | - |
| Yes | 14 (27.5%) | 30 (36.1%) | 0.81 | 0.33–1.96 | 0.63 | 0.63 | 0.21–1.87 | 0.42 |
| Missing | 2 (3.9%) | 1 (1.2%) | - | - | - | - | - | - |
*Confounders included awareness of hand hygiene moments, received IPC training specific to COVID-19, contact covid outside of work, used public transport
Associations between PPE during prolonged close contact and COVID-19 infection.
| Univariate Analysis | Multivariate Analysis | |||||||
|---|---|---|---|---|---|---|---|---|
| Characteristic | Cases | Controls | OR | 95% CI | p-value | aOR | 95% CI | p-value |
| face shield | ||||||||
| Yes | 16 (51.6%) | 20 (55.6%) | - | - | - | - | - | - |
| No | 15 (48.4%) | 16 (44.4%) | 1.14 | 0.33–3.99 | 0.84 | - | - | - |
| gloves | ||||||||
| Yes | 19 (61.3%) | 23 (63.9%) | - | - | - | - | - | - |
| No | 12 (38.7%) | 13 (36.1%) | 0.96 | 0.30–3.06 | 0.94 | - | - | - |
| coverall | ||||||||
| Yes | 22 (71.0%) | 29 (80.6%) | - | - | - | - | - | - |
| No | 9 (29.0%) | 7 (19.4%) | 1.61 | 0.44–5.83 | 0.91 | - | - | - |
| head cover | ||||||||
| Yes | 17 (54.8%) | 18 (50.0%) | - | - | - | - | - | - |
| No | 14 (45.2%) | 18 (50.0%) | 0.56 | 0.18–1.77 | 0.32 | - | - | - |
| respirator (e.g. N95, FFP2 or equivalent) | ||||||||
| Yes | 13 (41.9%) | 13 (36.1%) | - | - | - | - | - | - |
| No | 18 (58.1%) | 23 (63.9%) | 0.52 | 0.14–1.94 | 0.33 | - | - | - |
| shoe cover | ||||||||
| Yes | 9 (29.0%) | 12 (33.3%) | - | - | - | - | - | - |
| No | 22 (71.0%) | 24 (66.7%) | 1.07 | 0.31–3.73 | 0.91 | - | - | - |
| medical/surgical mask | ||||||||
| Yes | 13 (41.9%) | 11 (30.6%) | - | - | - | - | - | - |
| No | 18 (58.1%) | 25 (69.4%) | 0.29 | 0.08–1.09 | 0.07 | - | - | - |
| goggles | ||||||||
| Yes | 13 (41.9%) | 12 (33.3%) | - | - | - | - | - | - |
| No | 18 (58.1%) | 24 (66.7%) | 0.31 | 0.07–1.24 | 0.09 | - | - | - |
| gown | ||||||||
| Yes | 17 (54.8%) | 14 (38.9%) | - | - | - | - | - | - |
| No | 14 (45.2%) | 22 (61.1%) | 0.36 | 0.22–1.08 | 0.76 | - | - | - |
*Confounders included awareness of hand hygiene moments, received IPC training specific to COVID-19, contact covid outside of work, used public transport