| Literature DB >> 26576160 |
Samuel Anu Olowookere1, Emmanuel Akintunde Abioye-Kuteyi1, Olusegun Kayode Adepoju1, Oluwaseun Taiwo Esan1, Temitope Michael Adeolu1, Tolulope Kola Adeoye1, Adesola Adebayo Adepoju1, Adedayo Titilayo Aderogba1.
Abstract
Background. Health workers are more prone to Ebola viral disease (EVD) than the general population. This study assessed the preparedness of health workers in the control and management of EVD. Methods. A descriptive cross-sectional study. Consenting 400 health workers completed a semistructured questionnaire that assessed participants' general knowledge, emergency preparedness, and control and management of EVD. Data were analysed using descriptive and inferential statistics. Results. The mean age (SD) was 34.5 ± 8.62 years ranging from 20 to 59 years. Most participants were medical doctors (24.6%) and nurses (52.2%). The majority had practised <10 years (73.8%) and were aware of the EVD outbreak in the West African subregion (85.5%). Colleagues (40%) and radio (37.2%) were their major sources of information. Only 42% had good knowledge while 27% knew that there was no vaccine presently to prevent EVD. About one-quarter (24.2%) had low risk perception. The majority (89%) felt the hospital infection control policy was inadequate to protect against EVD. The only predictor of good knowledge was participants' occupation. Conclusion. There is knowledge gap and poor infection control preparedness among respondents. Thus, knowledge and practices of health workers towards EVD need improvement.Entities:
Year: 2015 PMID: 26576160 PMCID: PMC4630404 DOI: 10.1155/2015/431317
Source DB: PubMed Journal: J Trop Med ISSN: 1687-9686
Sociodemographic characteristics of participants.
| Variable | Frequency | % |
|---|---|---|
| Age group (years) | ||
| 20–29 | 135 | 33.8 |
| 30–39 | 164 | 41 |
| ≥40 | 101 | 25.2 |
| Sex | ||
| Male | 159 | 39.8 |
| Female | 241 | 60.2 |
| Marital status | ||
| Single | 137 | 34.2 |
| Married | 263 | 65.8 |
| Occupation | ||
| Medical doctor | 98 | 24.6 |
| Nurse | 209 | 52.2 |
| Pharmacist | 25 | 6.3 |
| Medical laboratory technologist | 23 | 5.8 |
| Community health officers | 19 | 4.7 |
| Medical records officer | 17 | 4.2 |
| Physiotherapist | 9 | 2.2 |
| Duration of employment (years) | ||
| <10 | 295 | 73.8 |
| ≥10 | 105 | 26.2 |
EVD awareness and source of information on the outbreak.
| Variable | Frequency | % |
|---|---|---|
| Aware of EVD epidemic in West Africa | ||
| Yes | 342 | 85.5 |
| No | 58 | 14.5 |
|
| ||
| Colleagues | 160 | 40.0 |
| Radio | 149 | 37.2 |
| Internet | 114 | 28.4 |
| Television | 93 | 23.3 |
| Newspapers | 92 | 23.1 |
| Notice boards/pamphlets | 44 | 10.9 |
Multiple responses.
Figure 1Graded score on EVD knowledge.
EVD knowledge of clinical variables.
| Variable | Frequency | % |
|---|---|---|
| Ebola fever is a viral disease | ||
| Yes | 373 | 93.2 |
| No | 27 | 6.8 |
| Incubation period last from 2 to 21 days | ||
| Yes | 247 | 61.8 |
| No | 153 | 38.2 |
| The reservoir is usually bats | ||
| Yes | 270 | 67.5 |
| No | 130 | 32.5 |
| Infection with the organism is usually deadly | ||
| Yes | 366 | 91.5 |
| No | 34 | 8.5 |
| Ebola can be transmitted from person to person | ||
| Yes | 351 | 87.8 |
| No | 49 | 12.2 |
| Ebola can be transmitted from animal to person | ||
| Yes | 345 | 86.2 |
| No | 55 | 13.8 |
| Ebola can be transmitted from inanimate objects to person | ||
| Yes | 187 | 46.8 |
| No | 213 | 53.2 |
Knowledge of EVD mode of transmission.
| Variable | Frequency | % |
|---|---|---|
| Ebola can be transmitted through saliva | ||
| Yes | 274 | 68.5 |
| No | 126 | 31.5 |
| Ebola can be transmitted through blood | ||
| Yes | 331 | 82.8 |
| No | 69 | 17.2 |
| Ebola can be transmitted through seminal/vagina fluid | ||
| Yes | 222 | 55.5 |
| No | 178 | 44.5 |
| Causative agent penetrates broken skin | ||
| Yes | 186 | 46.5 |
| No | 214 | 53.5 |
| Bodies of dead cases constitute a potential hazard | ||
| Yes | 300 | 75 |
| No | 100 | 25 |
| Cases cease to be infectious after the acute phase of the disease | ||
| Yes | 107 | 26.8 |
| No | 293 | 73.2 |
Knowledge of EVD clinical presentation.
| EVD cases are characterized by fever >38°C | ||
| Yes | 313 | 78.2 |
| No | 87 | 21.8 |
| Unexplained bleeding could be diagnostic | ||
| Yes | 294 | 73.4 |
| No | 106 | 26.6 |
| Vomiting, diarrhoea, and shock are rarely observed in hospitalized patients | ||
| Yes | 292 | 73.0 |
| No | 108 | 27.0 |
| Fever refractory to treatment and unexplained mucosal bleeding is a sign | ||
| Yes | 296 | 74.0 |
| No | 104 | 26.0 |
EVD knowledge of treatment and prevention.
| Variable | Frequency | % |
|---|---|---|
|
| ||
| Antipyretics | 343 | 85.8 |
| IV fluids | 339 | 84.8 |
| Corticosteroids | 212 | 53.0 |
| Uses of vaccine protect from EVD infection | ||
| Yes | 292 | 73.0 |
| No | 108 | 27.0 |
| Environmental sanitation protects from infection | ||
| Yes | 350 | 87.5 |
| No | 50 | 12.5 |
| Safe sex protects from infection | ||
| Yes | 248 | 62.0 |
| No | 152 | 38.0 |
| Barrier nursing protects from infection | ||
| Yes | 333 | 83.2 |
| No | 67 | 16.8 |
| Cases can be confirmed without laboratory assistance | ||
| Yes | 125 | 31.2 |
| No | 275 | 68.8 |
Multiple responses.
Knowledge of EVD reporting.
| Variable | Frequency | % |
|---|---|---|
| Critical number of cases must occur before reporting | ||
| True | 174 | 43.5 |
| False | 150 | 37.5 |
| Not sure | 76 | 19.0 |
| Suspected cases qualify for reporting | ||
| True | 322 | 80.5 |
| False | 20 | 5.0 |
| Not sure | 58 | 14.5 |
| Cases should be reported weekly for administrative efficiency | ||
| True | 227 | 56.8 |
| False | 67 | 16.8 |
| Not sure | 106 | 26.4 |
|
| ||
| Federal ministry of health | 290 | 72.5 |
| State ministry of health | 211 | 52.8 |
| Local ministry of health | 208 | 52.0 |
Multiple responses.
Risk perception and attitude to EVD.
| Variable | Frequency | % |
|---|---|---|
| Consider self to be at risk | ||
| Agree | 156 | 39.0 |
| Disagree | 173 | 42.8 |
| Undecided | 71 | 18.2 |
| Health workers are prone to having EVD | ||
| Agree | 303 | 75.8 |
| Disagree | 51 | 12.7 |
| Undecided | 46 | 11.5 |
| It is possible to prevent EVD spread | ||
| Agree | 318 | 79.5 |
| Disagree | 35 | 8.7 |
| Undecided | 47 | 11.8 |
| There is no risk in living with EVD patient | ||
| Agree | 20 | 5.0 |
| Disagree | 332 | 83.0 |
| Undecided | 48 | 12.0 |
| Infection control policy of the hospital is inadequate | ||
| Agree | 109 | 27.3 |
| Disagree | 42 | 10.5 |
| Undecided | 249 | 62.2 |
Association between respondents' characteristics and knowledge of EVD.
| Variable | Knowledge |
|
| |
|---|---|---|---|---|
| Appropriate | Not appropriate | |||
| Age (years) | ||||
| 20–29 | 58 (43.0) | 77 (57.0) | 5.720 | 0.057 |
| 30–39 | 78 (47.6) | 86 (52.4) | ||
| ≥40 | 33 (32.7) | 68 (67.3) | ||
| Sex | ||||
| Male | 70 (44.0) | 89 (56.0) | 0.341 | 0.559 |
| Female | 99 (41.1) | 142 (58.9) | ||
| Marital status | ||||
| Currently married | 111 (42.2) | 152 (57.8) | 0.001 | 0.980 |
| Not currently married | 58 (42.3) | 79 (57.7) | ||
| Occupation | ||||
| Medical doctor | 53 (54.1) | 45 (45.9) | 12.291 | 0.002 |
| Nurse | 89 (42.6) | 120 (57.4) | ||
| Other health workers | 27 (29.0) | 66 (71.0) | ||
| Duration of employment (years) | ||||
| <10 | 132 (44.7) | 163 (55.3) | 2.869 | 0.090 |
| ≥10 | 37 (35.2) | 68 (64.8) | ||
Binary logistic regression of respondents' characteristics and EVD knowledge.
| Variable | AOR | 95% CI |
|
|---|---|---|---|
| Occupation | |||
| Medical doctor | 2.879 | 1.582–5.239 | 0.001 |
| Nurse | 1.813 | 1.072–3.065 | 0.026 |
| Other health workers (ref.) | 1 |