| Literature DB >> 31700659 |
Nnennaya Anthony Ajayi1, Chiedozie Kingsley Ojide2, Immanuel Anthony Ajayi1, Kingsley Nnanna Ukwaja1.
Abstract
INTRODUCTION: Ebola virus disease (EVD) remains a global threat of international concern. Being at the frontline of medical care, clinicians are at high risk of infection. Inadequate knowledge of, or poor attitudes to, EVD among clinicians may lead to failure in the detection of and timely responses to EVD. We determined the knowledge of and attitudes to EVD among clinicians in Ebonyi State, Nigeria.Entities:
Keywords: Ebola virus disease; Nigeria; attitude; awareness; clinicians; preparedness
Year: 2019 PMID: 31700659 PMCID: PMC6816123
Source DB: PubMed Journal: J Virus Erad ISSN: 2055-6640
Sociodemographic characteristics of the respondents (n = 398)
| Variables | Frequency |
|---|---|
| Age (years) | |
| ≤40 | 274 (68.8) |
| >40 | 124 (31.2) |
| Gender | |
| Female | 86 (21.6) |
| Male | 312 (78.4) |
| Cadre | |
| Consultant | 78 (19.6) |
| Nonconsultants | 320 (80.4) |
| Type of clinical practice | |
| Primary | 4 (1.0) |
| Secondary | 6 (1.5) |
| Tertiary | 388 (97.5) |
| Duration of practice (years) | |
| ≤10 | 298 (74.9) |
| >10 | 100 (25.1) |
| Department | |
| Accident and emergency | 14 (3.5) |
| Anaesthesiology | 30 (7.5) |
| Community medicine | 20 (5.0) |
| Dental care | 4 (1.0) |
| Family medicine | 36 (9.0) |
| Internal medicine | 50 (12.6) |
| Obstetrics and gynaecology | 62 (15.6) |
| Paediatrics | 56 (14.1) |
| Surgery | 60 (15.1) |
| Others | 66 (16.6) |
| Previous training on Ebola | |
| Yes | 44 (11.1) |
| No | 354 (88.9) |
| Interested in Ebola training | |
| Yes | 374 (94.0) |
| No | 24 (6.0) |
Knowledge of the clinical features Ebola according to duration of practice
| Variables | Total | ≤10 years | >10 years | |
|---|---|---|---|---|
| Overall | 398 | 298 | 100 | |
| Ebola caused by a virus | 398 (100) | 298 (100) | 100 (100) | 1.00 |
| Incubation period | 388 (97.5) | 292 (98.0) | 96 (96) | 0.46 |
| Fever as a symptom | 398 (100) | 298 (100) | 100 (100) | 1.00 |
| Headache as a symptom | 382 (96.0) | 286 (96.0) | 96 (96.0) | 0.41 |
| Nausea/vomiting as a symptom | 396 (99.5) | 296 (99.3) | 100 (100) | 0.41 |
| Diarrhoea as a symptom | 384 (96.5) | 290 (97.3) | 94 (94.0) | 0.30 |
| Passage of blood in stool as a symptom | 386 (97.0) | 290 (97.3) | 96.0 (96) | 0.03 |
| Stomach ache as a symptom | 308 (77.4) | 234 (78.5) | 74 (74.0) | 0.61 |
| Rash as a symptom | 310 (77.9) | 230 (77.2) | 80 (80.0) | >0.05 |
| Headache as a symptom | 374 (94.0) | 280 (94.0) | 94 (94.0) | 0.64 |
| Painful/difficult swallowing as a symptom | 354 (88.9) | 268 (89.9) | 86 (86.0) | 0.02 |
| Joint pains as a symptom | 350 (87.9) | 264 (88.6) | 86 (86.0) | 0.53 |
| Bleeding from mucosa | 392 (98.5) | 294 (98.7) | 98 (98.0) | 0.64 |
| Fever refractory to treatment as a symptom | 344 (86.4) | 254 (85.2) | 90 (90.0) | 00.4 |
| Absence of fever in a sick individual excludes Ebola | 290 (72.9) | 220 (73.8) | 70 (70.0) | 0.49 |
| Absence of profuse mucosal bleeding excludes Ebola | 358 (89.9) | 270 (90.6) | 88 (88.0) | 0.76 |
| Conjunctival haemorrhage as a symptom | 328 (82.4) | 244 (81.9) | 84 (84.0) | 0.08 |
| Are cough and chest pain a symptom? | 324 (81.4) | 242 (81.2) | 82 (82.0) | 0.78 |
| Does Ebola affect children? | 388 (97.5) | 292 (98.0) | 96 (96.0) | 0.05 |
| Abortion in pregnant women as a symptom | 288 (72.4) | 214 (71.8) | 74 (74.0) | 0.07 |
| Good knowledge of clinical features | 0.66 | |||
| Yes | 370 (93.0) | 278 (93.3) | 92 (92.0) | |
| No | 28 (7.0) | 20 (6.7) | 8 (8.0) |
Respondents’ knowledge of Ebola transmission according to duration of practice
| Variables | Total | ≤10 years | >10 years | |
|---|---|---|---|---|
| Total | 398 | 298 | 100 | |
| Transmission through rats | 122(30.7) | 88 (29.5) | 34 (34) | 0.06 |
| Transmission through bats | 394 (99.0) | 296 (99.3) | 98 (98.0) | 0.26 |
| Transmission through handling bush meat | 386 (97.0) | 294 (98.7) | 92 (92.0) | <0.001 |
| Causative organism can penetrate unbroken skin | 232 (58.3) | 174 (58.4) | 58 (58.0) | 0.38 |
| Transmission by contact with blood of infected persons | 392 (98.5) | 292 (98.0) | 100 (100.0) | 0.17 |
| Transmission through air/aerosol | 62 (15.6) | 38 (12.8) | 24 (24.0) | 0.02 |
| Transmission through semen of infected person | 394 (100) | 294 (98.7) | 100 (100.0) | 0.50 |
| Transmission through contact with dead individuals with Ebola | 396 (99.5) | 298 (100.0) | 98 (98.0) | 0.06 |
| Transmission from an infected person who have no symptoms | 212 (53.3) | 160 (53.3) | 52 (52.0) | 0.57 |
| Transmission through mosquito bite | 318 (79.9) | 236 (79.2) | 82 (82.0) | 0.55 |
| Transmission by survivors of the Ebola disease | 152 (38.2) | 112 (37.6) | 40 (40.0) | 0.55 |
| Duration post Ebola before safely having coitus | 142 (35.7) | 102 (34.2) | 40 (40.0) | 0.73 |
| Transmission through blood/tissue transfusion | 374 (94.0) | 278 (93.3) | 96 (96.0) | 0.32 |
| Transmission through food and water | 148 (37.2) | 110 (36.9) | 38 (38.0) | 0.98 |
| Transmission through physical contact only | 288 (72.4) | 224 (75.2) | 64 (64) | <0.001 |
| Good knowledge of transmission | 0.04 | |||
| Yes | 226 (56.8) | 178 (59.7) | 48 (48.0) | |
| No | 172 (43.2) | 120 (40.3) | 52 (52.0) |
Respondents’ knowledge of the treatment and prevention of Ebola according to duration of practice
| Variables | Total | ≤10 years | >10 years | |
|---|---|---|---|---|
| Regular hand washing by health workers | 396 (99.5) | 296 (99.3) | 100 (100.0) | 0.56 |
| Water for hand washing should be chlorinated | 376 (94.5) | 280 (94.0) | 96 (96.0) | 0.44 |
| Health workers psychosocial support needed in outbreak situation | 390 (98.0) | 290 (97.3) | 100 (100.0) | 0.10 |
| PCR can be used to confirm Ebola infection | 366 (92.0) | 276 (92.6) | 90 (90.0) | 0.40 |
| ELISA can be used to detect Ebola antibodies | 316 (80.0) | 236 (79.2) | 80 (80.0) | 0.86 |
| An antigen detection test can be used to confirm Ebola | 300 (75.4) | 220 (73.8) | 80 (80.0) | 0.22 |
| Ebola antigen test and PCR can give a false-negative test result | 224 (56.3) | 170 (57.0) | 54 (54.0) | 0.60 |
| Vaccine against Ebola | 364 (91.5) | 268 (89.9) | 96 (96.0) | 0.06 |
| Effective drug for treating Ebola | 346 (86.9) | 258 (86.6) | 88 (88.0) | 0.72 |
| Ebola management is mainly supportive care | 356 (89.4) | 268 (89.9) | 88 (88.0) | 0.59 |
| In Ebola management, fluid and electrolyte balance are important | 392 (98.5) | 296 (99.3) | 96 (96.0) | 0.02 |
| In Ebola management, oxygen and BP control are important | 388 (97.5) | 288 (96.6) | 100 (100.0) | 0.06 |
| In Ebola management, treatment of infections is important | 326 (81.9) | 240 (80.5) | 86 (86.0) | 0.22 |
| In Ebola management, health workers should wear personal protective equipment | 396 (99.5) | 296 (99.3) | 100 (100.0) | 0.56 |
| In Ebola management, individuals are best nursed in open wards | 378 (95.0) | 284 (95.3) | 94 (94.0) | 0.61 |
| In Ebola management, use of corticosteroids may be important | 80 (20.1) | 52 (17.4) | 28 (28.0) | 0.02 |
| Good knowledge of prevention and treatment | 0.04 | |||
| Yes | 352 (88.4) | 258 (86.6) | 94 (94.0) | |
| No | 46 (11.6) | 40 (13.4) | 6 (6.0) |
BP: blood pressure; ELISA: enzyme-linked immunosorbent assay; HW: Health workers.
P-value is based on Fisher's exact test.
Respondents’ attitudes to Ebola according to duration of practice
| Variables | Total | ≤10 years | >10 years | |
|---|---|---|---|---|
| Overall | 398 | 298 | 100 | |
| Attitude to extent of seriousness of Ebola illness | 398 (100.0) | 298 (100.0) | 100 (100.0) | 1.00 |
| Attitude to being at risk of Ebola infection | 374 (94.0) | 288 (96.6) | 86 (86.0) | <0.001 |
| Attitude to preventability of Ebola | 394 (99.0) | 296 (99.3) | 98 (98.0) | 0.25 |
| Attitude to using herbs to cure/prevent Ebola | 304 (76.4) | 230 (77.2) | 74 (74.0) | 0.52 |
| Attitude to hand washing for Ebola prevention | 388 (97.5) | 290 (97.3) | 98 (98.0) | 0.71 |
| Attitude to banning bush meat handling for Ebola prevention | 270 (67.8) | 214 (71.8) | 56 (56.0) | 0.003 |
| Attitude to community engagement for Ebola prevention | 350 (87.9) | 256 (85.9) | 94 (94.0) | 0.03 |
| Attitude to role of media campaign for Ebola prevention | 384 (96.5) | 284 (95.3) | 100 (100.0) | 0.03 |
| Appropriate attitude to Ebola control | 0.99 | |||
| Yes | 334 (83.9) | 250 (83.9) | 84 (84.0) | |
| No | 64 (16.1) | 48 (16.1) | 16 (16.0) |
Multivariable logistic regression analysis of the factors associated with good knowledge of and attitudes to Ebola among study respondents
| Variables | Crude OR | Adjusted OR | Adjusted |
|---|---|---|---|
| 95% CI | 95% CI | ||
| Factors associated with good knowledge | |||
| Older age (>40 years) | 1.7 (0.7–4.3) | 1.4 (0.4–4.4) | 0.60 |
| Male gender | 4.1 (1.9–9.1) | 4.1 (1.8–9.2) | <0.001 |
| Consultant cadre | 1.5 (0.5–4.5) | 1.6 (0.4–7.7) | 0.55 |
| Younger duration of practice (≤10 years) | 1.3 (0.5–3.2) | 1.5 (0.4–6.4) | 0.57 |
| Has had a training on Ebola | 1.6 (0.4–7.3) | 1.5 (0.3–7.1) | 0.63 |
| Interested in Ebola training | 0.0 (0.0–1.7 ) | 0.0 (0.0–1.6) | 0.98 |
| Factors associated with good attitude | |||
| Younger age (≤40 years) | 1.0 (0.6–1.8) | 1.1 (0.5–2.4) | 076 |
| Male gender | 1.3 (0.7–2.3) | 1.3 (0.7–2.5) | 0.43 |
| Consultant cadre | 1.9 (0.8–4.1) | 2.9 (1.1–8.2) | 0.04 |
| Older duration of practice (>10 years) | 1.0 (0.5–1.9) | 1.6 (0.6–3.9) | 0.31 |
| Has not had a training on Ebola | 1.2 (0.5–2.7) | 1.2 (0.5–2.9) | 0.70 |
| Interested in Ebola training | 1.1 (0.3–3.2) | 1.3 (0.4–4.0) | 0.68 |
CI: confidence interval; OR: odds ratio.