| Literature DB >> 35923976 |
Tefera Alemu1, Seid Legesse2, Abtew Abera2, Semagn Amare2, Minwuyelet Maru2, Birtukan Shiferaw2, Assefa Missaye2, Getaneh Derseh1.
Abstract
Background: Knowledge and attitudes are among the key drivers of social behavioral change. We assessed employed health professionals' (HPs) knowledge, attitude, and practice regarding COVID-19 in Dessie city, northeast Ethiopia.Entities:
Keywords: COVID-19; Dessie; Ethiopia; KAP; health professionals
Mesh:
Year: 2022 PMID: 35923976 PMCID: PMC9341290 DOI: 10.3389/fpubh.2022.899808
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Sociodemographic characteristics of health professionals in Dessie city, northeast Ethiopia (N = 419).
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| Age | 20–30 Years | 254 (60.6) | 220 (86.6) | 34 (13.4) | 216 (85) | 38 (15) | 170 (66.9) | 84 (33.1) |
| 31–40 Years | 104 (24.8) | 92 (88.5) | 12 (11.5) | 86 (82.7) | 18 (17.3) | 77 (74) | 27 (26) | |
| 41 and above | 61 (14.6) | 57 (93.4) | 4 (6.6) | 53 (86.9) | 8 (13.1) | 45 (73.8) | 16 (26.2) | |
| Sex | Male | 212 (50.6) | 194 (91.5) | 18 (8.5) | 181 (85.4) | 31 (14.6) | 146 (68.9) | 66 (31.1) |
| Female | 207 (49.4) | 175 (84.5) | 32 (15.5) | 174 (84.1) | 33 (15.9) | 146 (70.5) | 61 (29.5) | |
| Religion | Orthodox | 246 (58.7) | 212 (86.2) | 34 (13.8) | 214 (87) | 32 (13) | 174 (70.7) | 72 (29.3) |
| Muslim | 164 (39.1) | 148 (90.2) | 16 (9.8) | 133 (81.1) | 31 (18.9) | 113 (68.9) | 51 (31.1) | |
| Protestant | 9 (2.1) | 9 (100) | 0 | 8 (88.9) | 1 (11.1) | 5 (55.6) | 4 (44.4) | |
| Marital status | Married | 257 (61.3) | 227 (88.3) | 30 (11.7) | 218 (84.8) | 39 (15.2) | 183 (71.2) | 74 (28.8) |
| Single | 145 (34.6) | 130 (89.7) | 15 (10.3) | 121 (83.4) | 24 (16.6) | 96 (66.2) | 49 (33.8) | |
| Divorced/windowed | 17 (4.1) | 12 (70.6) | 5 (29.4) | 16 (94.1) | 1 (5.9) | 13 (76.5) | 4 (23.5) | |
| Level of education | Diploma | 189 (45.1) | 156 (82.5) | 33 (17.5) | 153 (81) | 36 (19) | 134 (70.9) | 55 (29.1) |
| Degree & above | 230 (54.9) | 213 (92.6) | 17 (7.4) | 202 (87.8) | 28 (12.2) | 158 (68.7) | 72 (31.3) | |
| Experience | 0–5 Years | 152 (36.3) | 134 (88.2) | 18 (11.8) | 130 (85.5) | 22 (14.5) | 101 (66.4) | 51 (33.6) |
| 6–10 Years | 148 (35.3) | 125 (84.5) | 23 (15.5) | 122 (82.4) | 26 (17.6) | 102 (68.9) | 46 (31.1) | |
| ≥11 Years | 119 (28.4) | 110 (92.4) | 9 (7.6) | 103 (86.6) | 16 (13.4) | 89 (74.8) | 30 (25.2) | |
| Owner of HF | Non-governmental HFs | 154 (36.8) | 138 (89.6) | 16 (10.4) | 136 (88.3) | 18 (11.7) | 116 (75.3) | 38 (24.7) |
| Governmental HFs | 265 (63.2) | 231 (87.2) | 34 (12.8) | 219 (82.6) | 46 (17.4) | 176 (66.4) | 89 (33.6) | |
| Type of HF | Health Center | 170 (40.6) | 144 (84.7) | 26 (15.3) | 133 (78.2) | 37 (21.8) | 112 (65.9) | 58 (34.1) |
| Clinic | 91 (21.7) | 87 (95.6) | 4 (4.4) | 79 (86.8) | 12 (13.2) | 63 (69.2) | 28 (30.8) | |
| Hospital | 158 (37.7) | 138 (87.3) | 20 (12.7) | 143 (90.5) | 15 (9.5) | 117 (74.1) | 41 (25.9) | |
| Television availability | No | 47 (11.2) | 43 (91.5) | 4 (8.5) | 37 (78.7) | 10 (21.3) | 29 (61.7) | 18 (38.3) |
| Yes | 372 (88.8) | 326 (87.6) | 46 (12.4) | 318 (85.5) | 54 (14.5) | 263 (70.7) | 109 (29.3) | |
| Radio availability | No | 236 (56.3) | 154 (84.2) | 29 (15.8) | 153 (83.6) | 30 (16.4) | 118 (64.5) | 65 (35.5) |
| Yes | 183 (43.7) | 215 (91.1) | 21 (8.9) | 202 (85.6) | 34 (14.4) | 174 (73.7) | 62 (26.3) | |
| Social media utilization | No | 56 (13.4) | 44 (78.6) | 12 (21.4) | 48 (85.7) | 8 (14.3) | 41 (73.2) | 15 (26.8) |
| Yes | 363 (86.6) | 325 (89.5) | 38 (10.5) | 307 (84.6) | 56 (15.4) | 251 (69.1) | 112 (30.9) | |
Health professionals' knowledge regarding COVID-19 in Dessie city, northeast Ethiopia (N = 419).
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| Received COVID-19 training/orientation | Yes | 174 | 41.5 |
| No | 245 | 58.5 | |
| COVID-19 distribution | Pandemic | 337 | 80.4 |
| Epidemic | 81 | 19.6 | |
| Know toll-free line | Yes | 298 | 71.1 |
| No | 120 | 28.6 | |
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| Fever | Yes | 398 | 95 |
| No | 21 | 5 | |
| Dry cough | Yes | 380 | 90.7 |
| No | 39 | 9.3 | |
| Shortness of breathing | Yes | 388 | 92.6 |
| No | 31 | 7.4 | |
| Common cold-like symptoms | Yes | 331 | 79 |
| No | 88 | 21 | |
| Fatigue and myalgia | Yes | 291 | 69.5 |
| No | 128 | 30.5 | |
| Loss of appetite | Yes | 250 | 59.7 |
| No | 169 | 40.3 | |
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| Respiratory droplets | Yes | 397 | 94.7 |
| No | 22 | 5.3 | |
| Direct contact | Yes | 407 | 97.1 |
| No | 12 | 2.9 | |
| Indirect contact | Yes | 387 | 92.4 |
| No | 31 | 7.6 | |
| Eating vegetables and uncooked meats | Yes | 358 | 85.4 |
| No | 61 | 14.6 | |
| Air born | Yes | 332 | 79.2 |
| No | 87 | 20.7 | |
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| Handwashing with soap | Yes | 414 | 98.8 |
| No | 5 | 1.2 | |
| Physical distancing | Yes | 407 | 97.1 |
| No | 12 | 2.9 | |
| Staying home | Yes | 402 | 95.9 |
| No | 17 | 4.1 | |
| Facemask utilization | Yes | 379 | 90.5 |
| No | 40 | 9.5 | |
| Sanitizer utilization | Yes | 401 | 95.7 |
| No | 18 | 4.3 | |
| Avoiding crowded places | Yes | 394 | 94 |
| No | 25 | 6 | |
| Good respiratory hygiene | Yes | 388 | 92.6 |
| No | 31 | 7.4 | |
| Isolation and treatment | Yes | 386 | 92.1 |
| No | 33 | 7.9 | |
| Avoid touching openings | Yes | 392 | 93.6 |
| No | 27 | 6.4 | |
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| All ages and both sex | Yes | 402 | 95.9 |
| No | 17 | 4.1 | |
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| Older age group | Yes | 353 | 84.2 |
| No | 66 | 15.8 | |
| People with chronic illness | Yes | 349 | 83.3 |
| No | 70 | 16.7 | |
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| Symptoms plus travel history | Yes | 382 | 91.2 |
| No | 37 | 8.8 | |
| Symptoms plus contact history | Yes | 389 | 92.8 |
| No | 30 | 7.2 | |
| Symptoms plus occupational risk | Yes | 334 | 79.7 |
| No | 85 | 20.3 | |
| Symptoms only | Yes | 238 | 56.8 |
| No | 181 | 43.2 | |
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| Isolation and treatments | Yes | 409 | 97.6 |
| No | 10 | 2.4 | |
| Contact tracing and quarantine | Yes | 395 | 94.3 |
| No | 24 | 5.7 | |
| Laboratory test for contacts | Yes | 390 | 93.1 |
| No | 29 | 6.9 | |
| Disinfection of houses | Yes | 366 | 87.4 |
| No | 53 | 12.6 | |
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| Are asymptomatic cases cannot transmit the virus? | No | 383 | 91.4 |
| I do not know | 4 | 1 | |
| Yes | 32 | 7.6 | |
| Is a single prevention method adequate? | No | 409 | 97.6 |
| Yes | 10 | 2.4 | |
| Children and young adults shouldn't take preventive measures | No | 354 | 84.5 |
| I do not know | 12 | 2.9 | |
| Yes | 53 | 12.6 | |
| Know the duration of quarantines | Yes | 393 | 93.8 |
| No | 26 | 6.2 | |
| Currently, a drug to cure COVID-19 is available. | No | 377 | 90 |
| I do not know | 36 | 8.6 | |
| Yes | 6 | 1.4 | |
| Currently, COVID-19 vaccination is available | No | 372 | 88.8 |
| I do not know | 43 | 10.3 | |
| Yes | 4 | 1 | |
| COVID-19 case fatality rate is 100% | No | 389 | 92.8 |
| I do not know | 22 | 5.3 | |
| Yes | 8 | 1.9 | |
| Supportive treatment can help patients to recover | Yes | 377 | 90 |
| No | 24 | 5.7 | |
| I do not know | 18 | 4.3 | |
| Is their COVID-19 death in Ethiopia? | Yes | 410 | 97.9 |
| No | 5 | 1.2 | |
| I do not know | 4 | 1 | |
| Knowledge classification | Sufficient | 369 | 88.1 |
| Insufficient | 50 | 11.9 | |
Health professionals' attitude toward COVID-19 in Dessie city, northeast Ethiopia (N = 419).
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| COVID-19 will not infect/kill Ethiopian/African origins | Disagree | 404 | 96.4 |
| Agree | 15 | 3.6 | |
| Do you agree that COVID-19 only infects elders? | Disagree | 406 | 96.9 |
| Agree | 13 | 3.1 | |
| Do you believe that COVID-19 will not kill children and youths? | Disagree | 405 | 96.7 |
| Agree | 14 | 3.3 | |
| No need to bother about COVID-19 precaution measures, leave it for God/Allah | Disagree | 375 | 89.5 |
| Agree | 44 | 10.5 | |
| Do you think that only N95 face mask utilization is adequate to prevent COVID-19 infection? | Disagree | 385 | 91.9 |
| Agree | 34 | 8.1 | |
| Do you think those cultural medications can prevent and/or cure COVID-19? | Disagree | 364 | 86.9 |
| Agree | 24 | 5.7 | |
| I don't know | 31 | 7.4 | |
| Do you think that avoiding mass gatherings will prevent coronavirus infection? | Agree | 342 | 81.6 |
| Disagree | 77 | 18.4 | |
| Do you believe that frequent hand washing and using sanitizers can prevent coronavirus infection? | Agree | 369 | 88.1 |
| Disagree | 50 | 11.9 | |
| Do you believe that staying at home can prevent coronavirus infection? | Agree | 373 | 89 |
| Disagree | 46 | 11 | |
| Do you believe that maintaining social distancing can prevent coronavirus infection? | Agree | 389 | 92.8 |
| Disagree | 30 | 7.2 | |
| Do you advise coronavirus prevention strategies for your friends and families? | Yes | 412 | 98.3 |
| No | 7 | 1.7 | |
| Do you report a suspected case of your intimate friend to a health authority for quarantine? | Yes | 409 | 97.6 |
| No | 10 | 2.4 | |
| Are you committed to supporting the government in fighting against COVID-19? | Yes | 401 | 95.7 |
| No | 18 | 4.3 | |
| Are you ready to procure COVID-19 prevention commodities even at a high cost? | Yes | 296 | 70.6 |
| No | 72 | 17.2 | |
| I do not know | 51 | 12.2 | |
| Do you agree that COVID-19 is a preventable disease? | Agree | 306 | 73 |
| Disagree | 82 | 19.6 | |
| I don't know | 31 | 7.4 | |
| Do you agree that Ethiopia can win the battle against the COVID-19 virus? | Agree | 250 | 59.7 |
| Disagree | 80 | 19.1 | |
| I don't know | 89 | 21.2 | |
| Attitude classification | Favorable | 355 | 84.7 |
| Unfavorable | 64 | 15.3 |
Health professionals' practice on COVID-19 preventive measures in Dessie city, northeast Ethiopia (N = 419).
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| Frequent hand washing | Yes | 394 | 94 |
| No | 25 | 6 | |
| Alcohol-based hand rub | Yes | 397 | 94.7 |
| No | 22 | 5.3 | |
| Facemask | Yes | 362 | 86.4 |
| No | 57 | 13.6 | |
| Avoided handshaking | Yes | 400 | 95.5 |
| No | 19 | 4.5 | |
| Keeping physical distance | Yes | 359 | 85.7 |
| No | 60 | 14.3 | |
| Staying at home | Yes | 187 | 44.6 |
| No | 232 | 55.4 | |
| Good respiratory hygiene's | Yes | 372 | 88.8 |
| No | 47 | 11.2 | |
| Avoided touching eyes, nose and mouth | Yes | 380 | 90.7 |
| No | 39 | 9.3 | |
| Avoided taking public transportations | Yes | 199 | 47.5 |
| No | 220 | 52.5 | |
| I am not practicing any method | Yes | 20 | 4.8 |
| No | 399 | 95.2 | |
| In recent days, have you visited any crowded places? | No | 257 | 61.3 |
| Yes | 162 | 38.7 | |
| Are you keeping your physical distancing? | Always | 115 | 27.4 |
| Sometimes | 258 | 61.6 | |
| No | 46 | 11 | |
| Are you using a facemask outside the home? | Always | 217 | 51.8 |
| Sometimes | 165 | 39.4 | |
| No | 37 | 8.8 | |
| Hand washing increment as compared to the pre-corona area | The same | 17 | 4.1 |
| Two times | 43 | 10.3 | |
| Three times | 86 | 20.5 | |
| Four times | 84 | 20 | |
| Five times | 125 | 29.8 | |
| Six and above | 64 | 15.3 | |
| Frequency of soap utilization | Always | 368 | 87.8 |
| Sometimes | 44 | 10.5 | |
| Never | 7 | 1.7 | |
| Do you have sanitizer now? | Yes | 349 | 83.3 |
| No | 70 | 16.7 | |
| Is their patient triage in your facility? | Always | 187 | 44.6 |
| Sometimes | 123 | 29.4 | |
| No | 109 | 26 | |
Factors associated with sufficient knowledge and favorable attitude regarding COVID-19 in Dessie city, northeast Ethiopia (N = 419).
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| Age | 20–30 Years | 220 (86.6) | 34 (13.4) | 1 | 1 | 216 (85) | 38 (15) | 1 | |
| 31–40 Years | 92 (88.5) | 12 (11.5) | 1.2 (0.6–2.4) | 1.4 (0.6–3.2) | 86 (82.7) | 18 (17.3) | 0.8 (0.5–1.6) | ||
| 41 and above | 57 (93.4) | 4 (6.6) | 2.2 (0.8–6.5) | 3.7 (1.1–12.9) | 53 (86.9) | 8 (13.1) | 1.2 (0.5–2.6) | ||
| Sex | Male | 194 (91.5) | 18 (8.5) | 1 | 1 | 181 (85.4) | 31 (14.6) | 1 | |
| Female | 175 (84.5) | 32 (15.5) | 0.5 (0.3–0.9) | 0.8 (0.4–1.6) | 174 (84.1) | 33 (15.9) | 0.9 (0.5–1.5) | ||
| Religion | Orthodox | 212 (86.2) | 34 (13.8) | 1 | 214 (87) | 32 (13) | 1 | 1 | |
| Muslim | 148 (90.2) | 16 (9.8) | 1.5 (0.8–2.8) | 133 (81.1) | 31 (18.9) | 0.6 (0.4–1.1) | 0.6 (0.3–1.1) | ||
| Protestant | 9 (100) | 0 | 8 (88.9) | 1 (11.1) | 1.2 (0.1–9.9) | 1.1 (0.1–10) | |||
| Marital status | Married | 227 (88.3) | 30 (11.7) | 1 | 1 | 218 (84.8) | 39 (15.2) | 1 | |
| Single | 130 (89.7) | 15 (10.3) | 1.2 (0.6–2.2) | 1.4 (0.7–3.0) | 121 (83.4) | 24 (16.6) | 0.9 (0.5–1.6) | ||
| Divorced/windowed | 12 (70.6) | 5 (29.4) | 0.3 (0.1–1.0) | 0.4 (0.1–1.6) | 16 (94.1) | 1 (5.9) | 2.9 (0.4–22.2) | ||
| Level of education | Diploma | 156 (82.5) | 33 (17.5) | 1 | 1 | 153 (81) | 36 (19) | 1 | 1 |
| Degree and above | 213 (92.6) | 17 (7.4) | 2.7 (1.4–4.9) | 2.6 (1.4–4.9)** | 202 (87.8) | 28 (12.2) | 1.7 (1.0–2.9) | 1.3 (0.7–2.4) | |
| Experience | 0–5 Years | 134 (88.2) | 18 (11.8) | 1 | 130 (85.5) | 22 (14.5) | 1 | ||
| 6–10 Years | 125 (84.5) | 23 (15.5) | 0.7 (0.4–1.4) | 122 (82.4) | 26 (17.6) | 0.8 (0.4–1.5) | |||
| ≥11 Years | 110 (92.4) | 9 (7.6) | 1.6 (0.7–3.8) | 103 (86.6) | 16 (13.4) | 1.1 (0.5–2.2) | |||
| Owner of HF | Non-governmental HFs | 138 (89.6) | 16 (10.4) | 1 | 136 (88.3) | 18 (11.7) | 1 | ||
| Governmental HFs | 231 (87.2) | 34 (12.8) | 0.8 (0.4–1.5) | 219 (82.6) | 46 (17.4) | 1.6 (0.9–2.9) | |||
| Type of HF | Health Center | 144 (84.7) | 26 (15.3) | 1 | 1 | 133 (78.2) | 37 (21.8) | 1 | 1 |
| Clinic | 87 (95.6) | 4 (4.4) | 3.9 (1.3–11.6) | 4.4 (1.4–13.3)** | 79 (86.8) | 12 (13.2) | 1.8 (0.9–3.7) | 2.3 (1.1–5.2)* | |
| Hospital | 138 (87.3) | 20 (12.7) | 1.2 (0.7–2.3) | 1.1 (0.6–2.1) | 143 (90.5) | 15 (9.5) | 2.7 (1.4–5.1) | 3.6 (1.8–7.2)** | |
| Television availability | No | 43 (91.5) | 4 (8.5) | 1 | 37 (78.7) | 10 (21.3) | 1 | ||
| Yes | 326 (87.6) | 46 (12.4) | 0.7 (0.2–1.9) | 318 (85.5) | 54 (14.5) | 1.6 (0.8–3.4) | |||
| Radio availability | No | 154 (84.2) | 29 (15.8) | 1 | 1 | 153 (83.6) | 30 (16.4) | 1 | |
| Yes | 215 (91.1) | 21 (8.9) | 1.9 (1.1–3.5) | 2.4 (1.3–4.7)** | 202 (85.6) | 34 (14.4) | 1.2 (0.7–2.0) | ||
| Social media utilization | No | 44 (78.6) | 12 (21.4) | 1 | 1 | 48 (85.7) | 8 (14.3) | 1 | |
| Yes | 325 (89.5) | 38 (10.5) | 2.3 (1.1–4.8) | 2.3 (1.1–5.1)* | 307 (84.6) | 56 (15.4) | 0.9 (0.4–2.0) | ||
| Training/orientation | No | 214 (87.3) | 31 (12.7) | 1 | 198 (80.8) | 47 (19.4) | 1 | 1 | |
| Yes | 155 (89.1) | 19 (10.9) | 1.2 (0.6–2.2) | 157 (90.2) | 17 (9.8) | 2.2 (1.2–4.0) | 3.1 (1.6–6.1)** | ||
| Knowledge | Insufficient | 29 (58) | 21 (42) | 1 | 1 | ||||
| Sufficient | 326 (88.3) | 43 (11.7) | 5.5 (2.9–10.5) | 5.2 (2.6–10.4)** | |||||
**P-value < 0.01.
*P-value < 0.05.