| Literature DB >> 33836013 |
Tufan Arslanca1, Cihan Fidan2, Mine Daggez3, Polat Dursun4.
Abstract
The coronavirus disease 2019 (COVID-19) outbreak spread to over 100 countries with a total of 100,000 cases during the first week of March 2020. Health care workers, as those on the frontline of the COVID-19 pandemic, are more susceptible to infection. Inadequate related knowledge and preventive behaviors among health care workers might lead to delayed treatment and result in the rapid spread of the infection. Therefore, this study evaluated the knowledge of health care workers with regard to COVID-19. A cross-sectional study was conducted from June 10-18, 2020. Participants were general practitioners, specialists, and nurses working at the forefront of the pandemic. Their knowledge, preventive behaviors, and risk perceptions concerning COVID-19 were evaluated using an online questionnaire created by our medical specialists. The questionnaire consisted of 29, 5, and 4 items about COVID-19 knowledge, preventive behaviors, and risk perceptions, respectively. A total of 251 health care workers completed the questionnaire. The mean age of the participants was 33.88±8.72 years old, and the sample consisted of 68 males (27.08%) and 183 females (72.91%). While there was no difference between the percentage of correct answers given by female and male participants to knowledge-based questions (p>0.05), the percentage of correct answers to the questions on preventive behaviors was significantly higher in female participants than in males (p<0.001). The overall average percentages of correct responses were 91.66% for knowledge-based questions and 85.96% for preventive behavior questions. The scores for knowledge-based questions were higher for medical specialists, whereas nurses scored higher on preventive behavior questions. Government hospital staff showed a significant difference in preventive behaviors compared to that of university hospitals (p<0.05). In addition, there was a positive correlation between knowledge scores and preventive behaviors. Although all the participants (100%) knew that contracting COVID-19 can lead to death, only 66.93% of them were willing to get vaccinated themselves. The knowledge level of health care workers concerning COVID-19 was above 90%, but the level of competence in terms of preventive behaviors was found to be low, especially in males.Entities:
Mesh:
Year: 2021 PMID: 33836013 PMCID: PMC8034719 DOI: 10.1371/journal.pone.0250017
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Responses according to sociodemographic and working characteristics.
| Participants | Knowledge Score | Preventive Behaviors Score | ||
|---|---|---|---|---|
| n (%) | Mean±SD | Mean±SD | ||
| Female | 183 (72.91%) | 91.69±6.04 | 89.21±15.60 | |
| Male | 68 (27.09%) | 91.58±6.54 | 77.21±23.55 | |
| High school | 6 (2.39%) | 85.63±11.83 | 100.0±0.00 | |
| University | 245 (97.61%) | 91.81±5.93 | 85.61±18.93 | |
| Nursea | 102 (40.64%) | 90.26±6.75 | 91.91±13.24 | |
| General practitionerb | 53 (21.12%) | 90.70±6.03 | 86.32±18.71 | |
| Medical specialistc | 96 (38.24%) | 93.67±4.99 | 79.43±21.76 | |
| State Hospital | 101 (40.24%) | 93.10±5.52 | 88.86±18.87 | |
| University Hospital | 150 (59.76%) | 90.69±6.40 | 84.00±18.61 | |
| Yes | 173 (68.92%) | 91.41±6.33 | 86.99±18.98 | |
| No | 78 (31.08%) | 92.22±5.79 | 83.65±18.39 | |
SD: standard deviation; statistically significant p values are in bold.
Correct answers to questions on knowledge, preventive behaviors, and risk perceptions.
| Have you heard of COVID-19? (T) | 251 | 100 |
| Does COVID-19 occur as a virus? (T) | 250 | 99.60 |
| Is COVID-19 transmitted by respiratory droplets? (T) | 250 | 99.60 |
| Can COVID-19 be transmitted while talking? (T) | 227 | 90.44 |
| Can COVID-19 be transmitted by shaking hands? (T) | 238 | 94.82 |
| Can COVID-19 be transmitted from animals to humans? (T) | 119 | 47.41 |
| Can diarrhea also appear in COVID-19 cases? (T) | 237 | 94.42 |
| Can COVID-19 lead to death? (T) | 251 | 100 |
| The incubation period for the virus is 4–6 days. (T) | 240 | 95.62 |
| Can COVID-19 patients recover completely? (T) | 228 | 90.84 |
| Can a COVID-19 patient have no complaints or symptoms? (T) | 232 | 92.43 |
| Does the COVID-19 contamination risk increase in crowded places? (T) | 250 | 99.60 |
| Can COVID-19 live on surfaces, such as door handles and tables, for a long time? (T) | 204 | 81.28 |
| Does hand washing protect against the virus? (T) | 251 | 100 |
| Does using a mask protect against the virus? (T) | 242 | 96.41 |
| The main symptoms of COVID-19 are a fever, a cough, shortness of breath, weakness, and muscle pain. (T) | 251 | 100 |
| A runny nose, nasal congestion, and sneezing are less frequent in COVID-19 infections. (T) | 201 | 80.08 |
| Currently, there is no effective treatment for COVID-19. (T) | 211 | 84.06 |
| Can a large proportion of COVID-19 infections be resolved without hospitalization? (T) | 250 | 99.60 |
| COVID-19 can be transmitted through close contact with or by eating wild animals. (T) | 163 | 64.94 |
| COVID-19 is transmitted from the infected patient via the respiratory tract. (T) | 237 | 94.42 |
| The purpose of the mask worn by non-hospital workers is to prevent them from getting infected with COVID-19. (T) | 174 | 69.32 |
| To avoid COVID-19, crowded areas and public transportation should not be used. (T) | 251 | 100 |
| Isolating patients with COVID-19 is effective for preventing the spread of the virus. (T) | 251 | 100 |
| The observation period of a patient with COVID-19 is 14 days. (T) | 241 | 96.02 |
| Older adults with chronic lung disease and obese people can have a more serious case of the disease. (T) | 250 | 99.60 |
| Other people will not be infected if a COVID-19-infected person does not have a fever. (F) | 234 | 93.23 |
| Young people and children do not need to take precautions to prevent infection. (F) | 245 | 97.61 |
| A COVID-19 vaccine exists. (F) | 242 | 96.41 |
| Do you wear gloves? (Y) | 188 | 74.90 |
| Do you wear a mask when leaving the house? (Y) | 241 | 96.02 |
| Are you still going to crowded places? (Y) | 230 | 91.63 |
| Do you use alternative methods against COVID-19? (Y) | 204 | 81.28 |
| 1. Would you like to get a COVID-19 vaccine? | ||
| Yes | 168 | 66.93 |
| No | 57 | 22.71 |
| I don’t know | 26 | 10.36 |
| 2. How do you judge the severity of COVID-19? | ||
| Very dangerous | 174 | 69.32 |
| Moderately dangerous | 77 | 30.68 |
| 3. Do you believe COVID-19 will eventually be contained? | ||
| Yes | 211 | 84.06 |
| No | 13 | 5.18 |
| I don’t know | 27 | 10.76 |
| 4. How long will it take before COVID-19 is contained? | ||
| 1–3 months | 44 | 17.53 |
| 3–6 months | 102 | 40.64 |
| 6–12 months | 105 | 41.83 |
Responses to the risk perception questions according to the percentage of correct answers to the knowledge-based and preventive behavior questions.
| Risk Perception | Answer | Participants | Knowledge Score | Preventive Behavior Score |
|---|---|---|---|---|
| n (%) | Mean±SD | Mean±SD | ||
| Yesa | 168 (66.93%) | 92.63±5.49 | 85.71±18.87 | |
| Nob | 57 (22.71%) | 89.11±6.00 | 83.33±20.23 | |
| I don’t knowc | 26 (10.36%) | 90.98±8.73 | 93.27±13.34 | |
| Very dangerous | 174 (69.32%) | 91.69±6.57 | 88.36±17.76 | |
| Moderately dangerous | 77 (30.68%) | 91.58±5.17 | 80.52±20.12 | |
| Yesa | 211 (84.06%) | 91.71±6.15 | 86.26±18.44 | |
| Nob | 13 (5.18%) | 93.63±4.85 | 86.54±21.93 | |
| I don’t knowc | 27 (10.76%) | 90.29±6.69 | 83.33±20.80 | |
| 1–3 monthsa | 44 (17.53%) | 92.16±5.87 | 81.25±15.37 | |
| 3–6 monthsb | 102 (40.64%) | 91.65±5.56 | 86.03±20.98 | |
| 6–12 monthsc | 105 (41.83%) | 91.46±6.85 | 87.86±17.72 | |
SD: standard deviation; statistically significant p values are in bold.
Multiple regression analysis results of explanatory variables for knowledge scores.
| Knowledge Score | ||||||
|---|---|---|---|---|---|---|
| Parameter | Estimate (β) | Std.Error | 95% CI | t | p value | |
| Constant | 84.717 | 3.112 | 78.586 | 90.847 | 27.220 | 0.000 |
| Age | -0.021 | 0.048 | -0.116 | 2.933 | -0.437 | 0.663 |
| Sex | 1.034 | 0.964 | -0.865 | 0.865 | 1.073 | 0.285 |
| Education level | 4.957 | 2.526 | -0.019 | 9.934 | 1.962 | 0.051 |
| Workplace | 2.013 | 0.856 | 0.327 | 3.698 | 2.932 | |
| Occupation | ||||||
| General practitioner | 0.229 | 1.160 | -2.055 | 2.513 | 0.197 | 0.844 |
| Medical specialist | 2.970 | 1.013 | 0.974 | 4.965 | 2.932 | |
| Education on COVID-19 | 0.840 | 0.931 | -0.993 | 2.674 | 0.903 | 0.368 |
Std: standard; CI: confidence interval
Multiple regression analysis results of explanatory variables for the preventive behavior scale.
| Preventive Behavior Score | ||||||
|---|---|---|---|---|---|---|
| Parameter | Estimate (β) | Std.Error | 95% CI | t | p value | |
| Constant | 80.596 | 9.686 | 61.518 | 99.675 | 8.321 | 0.000 |
| Age | 0.241 | 0.143 | -0.041 | 0.523 | 1.686 | 0.093 |
| Sex | 8.407 | 2.868 | 2.757 | 14.057 | 2.931 | |
| Education level | -12.126 | 7.517 | -26.933 | 2.680 | -1.613 | 0.108 |
| Workplace | 7.195 | 2.546 | 2.180 | 12.211 | 2.286 | |
| Occupation | ||||||
| General practitioner | -0.736 | 3.450 | -7.533 | 6.060 | -0.213 | 0.831 |
| Medical specialist | -9.957 | 3.014 | -15.893 | -4.020 | -3.304 | |
| Education on COVID-19 | 3.022 | 2.770 | -2.434 | 8.477 | 1.091 | 0.276 |
Std: standard; CI: confidence interval