| Literature DB >> 33213266 |
Mary Eyram Ashinyo1, Stephen Dajaan Dubik2, Vida Duti3, Kingsley Ebenezer Amegah4, Anthony Ashinyo5, Rita Larsen-Reindorf6, Samuel Kaba Akoriyea1, Patrick Kuma-Aboagye7.
Abstract
BACKGROUND: Healthcare workers (HCWs) are faced with an elevated risk of exposure to SARS-COV-2 due to the clinical procedures they perform on COVID-19 patients. However, data for frontline HCWs level of exposure and risk of COVID-19 virus infection are limited.Entities:
Keywords: COVID-19; Ghana; exposure risk; healthcare workers; infection prevention and control; infectious diseases; safety
Mesh:
Year: 2020 PMID: 33213266 PMCID: PMC7682216 DOI: 10.1177/2150132720969483
Source DB: PubMed Journal: J Prim Care Community Health ISSN: 2150-1319
Sociodemographic Characteristics of the Study Participants.
| Independent variables | Frequency N = 408 | Percent (%) |
|---|---|---|
| Mean age (SD), Min–Max | 32.3 (6.2), 19–49 | |
| Age (in years) | ||
| <35 | 277 | 67.9 |
| ≥35 | 131 | 32.1 |
| Gender | ||
| Female | 235 | 57.6 |
| Male | 173 | 42.4 |
| Marital status | ||
| Single | 200 | 49.0 |
| Married | 201 | 49.3 |
| Separated/Divorced/Widowed | 7 | 1.7 |
| Type of health professional | ||
| Assistant nurse | 47 | 11.5 |
| Catering staff | 16 | 3.9 |
| Cleaner | 50 | 12.3 |
| Laboratory personnel | 10 | 2.5 |
| Medical doctor | 28 | 6.9 |
| Midwives | 29 | 7.1 |
| Registered nurse | 161 | 39.5 |
| Pharmacist | 8 | 2.0 |
| Other health professionals[ | 59 | 14.5 |
| Staff category | ||
| Non-clinical | 123 | 30.2 |
| Clinical | 285 | 69.9 |
| Type of health facility | ||
| Cleaning services | 50 | 12.3 |
| Emergency | 117 | 28.7 |
| Laboratory | 10 | 2.5 |
| Medical unit | 91 | 22.3 |
| Outpatient | 40 | 9.8 |
| Pharmacy | 10 | 2.5 |
| Others[ | 90 | 22.1 |
| Highest level of qualification | ||
| SSSCE/WASCE | 55 | 13.5 |
| Certificate | 129 | 31.6 |
| Diploma | 100 | 24.5 |
| Bachelor | 100 | 24.5 |
| Masters | 24 | 5.9 |
| Work experience (in years) | ||
| ≤10 | 339 | 83.1 |
| >10 | 69 | 16.9 |
| Tested for COVID-19 | ||
| No | 331 | 81.1 |
| Yes | 77 | 18.9 |
| Sources of information on COVID-19[ | ||
| International organizations (eg, WHO, CDC) | 275 | 67.4 |
| Government sites and media (eg, GHS, MOH-Ghana) | 292 | 71.6 |
| Social media (eg, WhatsApp, Facebook, Twitter) | 248 | 60.8 |
| Academic journal | 107 | 26.2 |
| News media (eg, TV, Radio, Newspaper) | 351 | 86.0 |
| Have family member infected with Covid-19 | ||
| No | 395 | 96.8 |
| Yes | 13 | 3.2 |
| Performed/present during any AGP | ||
| No | 328 | 80.1 |
| Yes | 80 | 19.6 |
Others—Pharmacy technician/dispenser, Physical and respiratory therapist, Admission/reception clerks, accountants, administrative and IT manager, Clinical engineers.
Others—Isolation center, Catering services.
Multiple response variables.
Figure 1.Healthcare workers’ occupational and community exposure to the COVID-19 virus.
Figure 2.Risk of COVID-19 virus infection among the exposed healthcare workers.
Distribution of Study Participants Characteristics by Occupational Exposure to COVID-19 Virus and Risk for COVID-19 Virus Infection.
| Occupational exposure to COVID-19 | Risk of COVID-19 virus infection | ||||||
|---|---|---|---|---|---|---|---|
| No (n = 80) | Yes (n = 328) | LR (n = 282) | HR (n = 46) | ||||
| Variables | n (%) | n (%) | n (%) | n (%) | |||
| Age (in years) | |||||||
| <35 | 277 (67.9) | 57 (71.3) | 220 (67.1) | .473 | 190 (67.4) | 30 (65.2) | .773 |
| ≥35 | 131 (32.1) | 23 (28.7) | 108 (32.9) | 92 (32.6) | 16 (34.8) | ||
| Gender | |||||||
| Female | 235 (57.6) | 50 (62.5) | 185 (56.4) | .322 | 163 (57.8) | 22 (47.8) | .206 |
| Male | 173 (42.4) | 30 (37.5) | 143 (43.6) | 119 (42.2) | 24 (52.2) | ||
| Marital status | |||||||
| Single | 200 (49) | 44 (55) | 156 (47.6) | .492 | 132 (46.8) | 24 (52.2) |
|
| Married | 201 (49.3) | 35 (43.8) | 166 (50.6) | 147 (52.1) | 19 (41.3) | ||
| Separated/Divorced/Widowed | 7 (1.7) | 1 (1.3) | 6 (1.8) | 3 (1.1) | 3 (6.5) | ||
| Type of health professional | |||||||
| Assistant nurse | 47 (11.5) | 2 (2.5) | 45 (13.7) |
| 39 (13.8) | 6 (13) |
|
| Catering staff | 16 (3.9) | 15 (18.8) | 1 (0.3) | 1 (0.4) | 0 (0.0) | ||
| Cleaner | 50 (12.3) | 13 (16.3) | 37 (11.3) | 27 (9.6) | 10 (21.7) | ||
| Laboratory personnel | 10 (2.5) | 0 (0.0) | 10 (3.0) | 10 (3.5) | 0 (0.0) | ||
| Medical doctor | 28 (6.9) | 2 (2.5) | 26 (7.9) | 26 (9.2) | 0 (0.0) | ||
| Midwife | 29 (7.1) | 5 (6.3) | 24 (7.3) | 21 (7.4) | 3 (6.5) | ||
| Registered nurse | 161 (39.5) | 18 (22.5) | 143 (43.6) | 139 (49.3) | 4 (8.7) | ||
| Pharmacist | 8 (2.0) | 2 (2.5) | 6 (1.8) | 3 (1.1) | 3 (6.5) | ||
| Others | 59 (14.5) | 23 (28.7) | 36 (11.0) | 16 (5.7) | 20 (43.5) | ||
| Staff category | |||||||
| Non-Clinical | 123 (30.1) | 51 (63.7) | 72 (22.0) |
| 43 (15.2) | 29 (63) |
|
| Clinical | 285 (69.9) | 29 (36.3) | 256 (78.0) | 239 (84.8) | 17 (37) | ||
| Type of health facility | |||||||
| Cleaning services | 50 (12.3) | 13 (16.3) | 37 (11.3) |
| 26 (9.2) | 11 (23.9) |
|
| Emergency | 117 (28.7) | 11 (13.8) | 106 (32.3) | 101 (35.8) | 5 (10.9) | ||
| Laboratory | 10 (2.5) | 0 (0.0) | 10 (3.0) | 10 (3.5) | 0 (0.0) | ||
| Medical unit | 91 (22.3) | 6 (7.5) | 85 (25.9) | 83 (29.4) | 2 (4.3) | ||
| Out patient | 40 (9.8) | 6 (7.5) | 34 (10.4) | 28 (9.9) | 6 (13) | ||
| Pharmacy | 10 (2.5) | 2 (2.5) | 8 (2.4) | 4 (1.4) | 4 (8.7) | ||
| Others | 90 (22.1) | 42 (52.5) | 48 (14.6) | 30 (10.6) | 18 (39.1) | ||
| Highest level of qualification | |||||||
| Secondary level qualification | 55 (13.5) | 20 (25) | 35 (10.7) |
| 19 (6.7) | 16 (34.8) | < |
| Certificate | 129 (31.6) | 22 (27.5) | 107 (32.6) | 97 (34.4) | 10 (21.7) | ||
| Diploma | 100 (24.5) | 19 (23.8) | 81 (24.7) | 71 (25.2) | 10 (21.7) | ||
| Bachelor | 100 (24.5) | 18 (22.5) | 82 (25.0) | 75 (26.6) | 7 (15.2) | ||
| Masters | 24 (5.9) | 1 (1.3) | 23 (7.0) | 20 (7.1) | 3 (6.5) | ||
| Work experience (in years) | |||||||
| 1-10 | 339 (83.1) | 68 (85) | 271 (82.6) | .611 | 235 (83.3) | 36 (78.3) | .400 |
| >10 | 69 (16.9) | 12 (15) | 57 (17.4) | 47 (16.7) | 10 (21.7) | ||
| Performed/present during any AGP | |||||||
| No | 328 (80.4) | 80 (100.0) | 248 (75.6) |
| 203 (72) | 45 (97.8) |
|
| Yes | 80 (19.6) | 0 (0.0) | 80 (24.4) | 79 (28) | 1 (2.2) | ||
Abbreviations: LR, low risk of COVID-19 virus infection; HR, high risk of COVID-19 virus infection.
Bold entries; Significant P-value <.05.
Fisher’s exact P-value (some cell frequencies <5)
Factors Associated with Increased Occupational Exposure to COVID-19 Virus and Risk of COVID-19 Virus Infection Among the Exposed Healthcare Workers.
| Variables | Occupational exposure to COVID-19 | Risk of COVID-19 virus infection | ||||
|---|---|---|---|---|---|---|
| AOR | 95%CI | AOR | 95%CI | |||
| Age (in years) | ||||||
| <35 | Ref | |||||
| ≥35 | 1.13 | 0.51-2.50 | .764 | 0.57 | 0.18-1.80 | .338 |
| Gender | ||||||
| Female | Ref | |||||
| Male | 1.56 | 0.84-2.87 | .156 | 1.27 | 0.51-3.20 | .610 |
| Marital status | ||||||
| Single | Ref | |||||
| Married | 1.19 | 0.64-2.21 | .582 | 0.93 | 0.36-2.38 | .880 |
| Separated/Divorced/Widowed | 2.04 | 0.25-16.86 | .507 | 9.74 | 0.58-16.76 | .114 |
| Type of health professional | ||||||
| Assistant nurse | Ref | |||||
| Catering staff | 0.05 | 0.00-2.94 | .150 | – | – | |
| Cleaner | 1.19 | 0.02-6.63 | .930 | 1.58 | 0.01-3.68 | .861 |
| Laboratory personnel | 2.2 | 0.06-8.98 | .674 | – | – | |
| Medical doctor | 0.45 | 0.06-3.11 | .417 | – | – | |
| Midwife | 0.23 | 0.04-1.37 | .107 | 0.61 | 0.07-5.17 | .648 |
| Registered nurse | 0.39 | 0.09-1.68 | .206 | 0.09 | 0.01-0.60 |
|
| Pharmacist | 0.14 | 0.00-5.24 | .284 | 16.89 | 0.02-23.91 | .425 |
| Other health professionals | 0.68 | 0.02-2.98 | .836 | 19.26 | 1.13-34.51 |
|
| Staff category | ||||||
| Non-Clinical | Ref | |||||
| Clinical | 2.54 | 0.09-7.38 | .584 | 1.76 | 0.02-17.04 | .809 |
| Type of health facility | ||||||
| Cleaning services | Ref | |||||
| Emergency | 2.7 | 0.49-14.79 | .253 | 0.62 | 0.06-6.73 | .694 |
| Laboratory |
|
|
|
| ||
| Medical unit | 5.18 | 2.85-9.79 | .075 | 0.26 | 0.02-3.76 | .324 |
| Out patient | 1.66 | 0.27-3.18 | .581 | 2.71 | 0.23-31.47 | .426 |
| Pharmacy | 2.34 | 0.07-7.82 | .636 | 0.21 | 0.00-2.49 | .658 |
| Others | 0.86 | 0.18-4.25 | .858 | 0.03 | 0.00-0.56 |
|
| Highest level of qualification | ||||||
| Secondary level qualification | Ref | |||||
| Certificate | 1.43 | 0.52-3.92 | .489 | 0.32 | 0.08-1.39 | .130 |
| Diploma | 1.08 | 0.37-3.15 | .887 | 0.74 | 0.15-3.62 | .709 |
| Bachelor | 0.83 | 0.28-2.42 | .726 | 0.30 | 0.05-1.64 | .164 |
| Masters | 5.50 | 2.78-7.39 | .088 | 0.06 | 0.01-0.63 |
|
| Work experience (in years) | ||||||
| 1–10 | Ref | |||||
| >10 | 1.04 | 0.36-3.02 | .939 | 2.33 | 0.58-9.40 | .236 |
| Performed/present during any AGP | ||||||
| No | Ref | |||||
| Yes | 23.8 | 18.45-39.20 |
| 0.05 | 0.01-0.50 |
|
Significant P-value <.05, bold entries.