| Literature DB >> 32904682 |
Ayele Abebe1, Abinet Mekuria2, Awraris Balchut2.
Abstract
BACKGROUND: COVID-19 is a disease caused by a SARS-COV2. The main way of transmission is from person to person through droplet nuclei. In this time, this disease has no treatment and vaccination. Hence, the WHO recommends countries to work intensively on prevention and control measures.Entities:
Keywords: coronavirus; factors affecting; health professionals
Year: 2020 PMID: 32904682 PMCID: PMC7457574 DOI: 10.2147/IDR.S268033
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Figure 1Sampling procedure on study subjects of COVID-19 awareness study at North Shoa zone among health professionals, 2020.
Socio-Demographic Characteristics of Health Professionals in North Shoa Zone, 2020 (n=384)
| Variables | Frequency | Percent |
|---|---|---|
| Debre Berhan Referral Hospital | 117 | 30.5 |
| Mahelmeda Hospital | 57 | 14.8 |
| Enat Hospital | 48 | 12.5 |
| Arerti Hospital | 34 | 8.9 |
| Shewarobit Hospital | 40 | 10.4 |
| Ataye Hospital | 36 | 9.4 |
| Debre Sina Hospital | 11 | 2.9 |
| Deneba Hospital | 41 | 10.7 |
| 15–25 | 111 | 28.9 |
| 26–35 | 237 | 61.7 |
| 36–45 | 30 | 7.8 |
| 46–55 | 6 | 1.6 |
| Male | 233 | 60.7 |
| Female | 151 | 39.3 |
| Single | 195 | 50.8 |
| Married | 189 | 49.2 |
| Clinician | 79 | 20.6 |
| Nurse | 182 | 47.4 |
| Midwife | 41 | 10.7 |
| Pharmacy | 37 | 9.6 |
| Laboratory | 45 | 11.7 |
| Diploma | 101 | 26.3 |
| Degree | 283 | 73.7 |
| One year | 88 | 22.9 |
| Two years | 76 | 19.8 |
| Three years | 57 | 14.8 |
| Four years | 25 | 6.5 |
| Five and greater | 138 | 35.9 |
| Ward | 135 | 35.2 |
| OPD | 118 | 30.7 |
| MCH | 12 | 3.1 |
| Labor and delivery | 39 | 10.2 |
| Laboratory | 43 | 11.2 |
| Pharmacy | 37 | 9.6 |
Health Professionals and Organizational Characteristics in North Shoa Zone, 2020 (n=343)
| Variables | Frequency | Percent |
|---|---|---|
| Yes | 262 | 68.2 |
| No | 122 | 31.8 |
| Yes | 159 | 41.4 |
| No | 225 | 58.6 |
| Yes | 324 | 84.4 |
| No | 60 | 15.6 |
| Yes | 298 | 77.6 |
| No | 86 | 22.4 |
| Yes | 161 | 41.9 |
| No | 223 | 58.1 |
| Yes | 179 | 46.6 |
| No | 205 | 53.4 |
| Yes | 154 | 40.1 |
| No | 230 | 59.9 |
| Yes | 233 | 60.7 |
| No | 151 | 39.3 |
| Yes | 225 | 58.6 |
| No | 159 | 41.4 |
| Yes | 118 | 30.7 |
| No | 266 | 69.3 |
Participants’ COVID-19 Awareness with Different Components in North Shoa Zone, April 2020 (n=384)
| Variables | Frequency | Percent |
|---|---|---|
| No awareness | 79 | 20.6 |
| Good awareness | 305 | 79.4 |
| Yes | 299 | 77.9 |
| No | 85 | 22.1 |
| Yes | 372 | 96.9 |
| No | 12 | 3.1 |
| Through television/radio | 213 | 55.5 |
| Through internet | 124 | 32.3 |
| From peer/professional discussion | 35 | 9.1 |
| Yes | 379 | 98.7 |
| No | 5 | 1.3 |
| Fever | 373 | 97.1 |
| Cough | 358 | 93.2 |
| Shortness of breath | 342 | 89.1 |
| Deharria | 106 | 27.6 |
| Vomiting | 43 | 11.2 |
| Yes | 291 | 75.8 |
| No | 93 | 24.2 |
| Yes | 376 | 97.9 |
| No | 8 | 2.1 |
| Yes | 141 | 36.7 |
| No | 243 | 63.3 |
| Yes | 337 | 87.8 |
| No | 47 | 12.2 |
| Yes | 164 | 42.7 |
| No | 220 | 57.3 |
| Yes | 40 | 10.4 |
| No | 344 | 89.6 |
| Air-born | 309 | 80.5 |
| Feco-oral | 121 | 31.5 |
| Vector born | 69 | 18.0 |
| Blood born | 61 | 15.9 |
| Droplet nuclei | 286 | 74.5 |
| Direct contact | 314 | 81.8 |
Figure 2Strategies suggested for early recognition of COVID-19, 2020 (n=384).
Figure 3Suspect patient with coronavirus infection suggested by the health professionals, North Shoa zone, 2020 (n=384).
Figure 4Prevention and control methods of coronavirus infection suggested by the health professionals, North Shoa zone, 2020 (n=384).
Bivariate and Multivariable Analysis of Factors Associated with Health Professionals’ Awareness in North Shoa Zone, 2020 (N=384)
| Factors | No awareness | Awareness | COR | AOR |
|---|---|---|---|---|
| Clinician | 10 (2.6%) | 69 (18%)) | 2.5 (1,6.4) | 1.3 (0.4,3.8) |
| Nurse | 42 (10.9%) | 140 (36.5%) | 1.2 (0.6,2.6) | 0.8 (0.4,1.9) |
| Midwife | 3 (0.8%) | 38 (9.9%) | 4.6 (1.2, 17.7) | 6.9 (1.6,29.8) |
| Pharmacy | 12 (3.1%) | 25 (6.5%) | 0.8 (0.3,2) | 0.9 (0.3,2.8) |
| Laboratory | 12 (3.1%) | 33 (8.6%) | 1 | 1 |
| Diploma | 36 (9.4%) | 65 (16.9%) | 1 | 1.0 |
| Degree | 43 (11.2%) | 240 (62.5%) | 3.1 (1.8,5.2) | 2.3 (1.2,4.4) |
| Yes | 46 (12%) | 216 (56.3%) | 1.7 (1,2.9) | 2.1 (1.1,3.9) |
| No | 33 (8.6%) | 89 (23.2%) | 1 | 1 |
| Yes | 24 (6.3%) | 130 (33.9%) | 1.7 (1,2.8) | 1.5 (0.9,2.8) |
| No | 55 (14.3%) | 175 (45.6%) | 1 | 1 |
| Yes | 48 (12.5%) | 251 (65.4%) | 3 (1.8,5.1) | 2.7 (1.5,5) |
| No | 31 (8.1%) | 54 (14.1%) | 1 | 1 |