| Literature DB >> 35455284 |
Beata Jankowska-Polańska1, Kathie Sarzyńska2, Eddie Czwojdziński3, Natalia Świątoniowska-Lonc1, Krzysztof Dudek4, Agnieszka Piwowar3.
Abstract
The role of medical personnel in promoting vaccination and pro-health attitudes seems to be of key importance for protection against COVID-19. The aim of the study was to assess the attitudes of health care workers and students of medical faculties towards preventive vaccinations against COVID-19. A cross-sectional online self-administered survey was conducted among 497 people. The questions concerned attitudes towards vaccination as well as concerns about the side effects of the vaccine and contracting COVID-19. A positive attitude to vaccination was observed in 82% of the respondents. More than 54% respondents were concerned about side effects after COVID-19 vaccination. Medical students under 26 years had a more positive attitude towards COVID-19 vaccination, twice as high as among health care workers OR (95%Cl): 2.20 (1.03-4.66) vs. 4.06 (2.54-6.48), respectively. Students were more concerned than nurses about adverse effects of COVID-19 vaccine 3.8 (3.2-4.1) vs. 3.0 (2.7-3.5) and contracting the virus (1.7 (1.2-2.5) vs. 1.2 (1.0-2.0). Medical students had a more positive attitude toward vaccination than nursing students 4.2 (3.9-4.3) vs. 3.7 (3.3-4.3). In conclusion, predictors of positive attitudes toward vaccination were medical student status and young age.Entities:
Keywords: COVID-19; attitude; vaccination
Year: 2022 PMID: 35455284 PMCID: PMC9029435 DOI: 10.3390/vaccines10040535
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Sociodemographic characteristics of the study group.
| Characteristic (Variable) | |
|---|---|
| Profession: | |
| Non-medical staff | 8 (1.6%) |
| Other medical staff | 14 (2.8%) |
| Students | 333 (67.1%) |
| Nurses | 108 (21.7%) |
| Midwives | 19 (3.8%) |
| Paramedics | 2 (0.4%) |
| Doctors | 13 (2.6%) |
| Field of study: | |
| Nursing | 112 (22.6%) |
| Obstetrics | 19 (3.9%) |
| Dentistry | 89 (17.8%) |
| Pharmacy | 60 (12.1%) |
| Public health | 23 (4.7%) |
| Dietetics | 2 (0.5%) |
| Medicine | 176 (35.1%) |
| Medical analysis | 12 (2.5%) |
| Emergency medicine | 4 (0.8%) |
| Age (years): | |
| Me (Q1–Q3) | 24 (21–28) |
| Min–Max | 18–64 |
M—mean, SD—standard deviation, Me—median, Q1, Q3—quartile 1 and 3, Min–Max—minimum and maximum values.
Questionnaire assessing the attitude of the entire study group towards vaccination against COVID-19.
| Domain Number | Questions | The Cronbach’s Alpha Coefficient | Me | Q1–Q3 | DomainMe (Q1–Q3) | |
|---|---|---|---|---|---|---|
| Domain 1 | 1. Do you think that many diseases prevented by vaccination are serious ones, mainly infectious? | 0.81 | 5 | 5–5 | 3.4 (2.9–3.9) | <0.001 |
| 2. Do you think that the immunity acquired after contracting the disease is better than after vaccination? | 4 | 3–4 | ||||
| 3. Do you think that it is better to wait for the next emerging vaccines than to get one of those developed in the first stage? | 4 | 3–5 | ||||
| 4. Would you make a decision not to vaccinate for reasons other than illness or allergy? | 4 | 3–5 | ||||
| 5. Would you delay getting vaccinated for reasons other than illness or allergy? | 4 | 3–5 | ||||
| 6. Do you think that opinions on vaccines are primarily governed by the opinions and benefits of pharmaceutical companies? | 4 | 3–5 | ||||
| Domain 2 | 7. Do you think that undergoing the recommended COVID-19 vaccinations is good for your health? | 0.841 | 5 | 4–5 | 4.1 (3.6–4.3) | <0.001 |
| 8. Do you think that the timing of mass vaccination against COVID-19 during a period of increased morbidity is reasonable? | 5 | 4–5 | ||||
| 9. Do you think that vaccination against COVID-19 can protect you from contracting COVID-19? | 5 | 4–5 | ||||
| 10. Do you think that vaccination against COVID-19 is not needed due to the low probability of getting sick? | 5 | 4–5 | ||||
| 11. Do you think healthcare professionals should be rewarded for undergoing vaccination against COVID-19? | 2 | 1–3 | ||||
| 12. Do you think healthcare professionals should be compulsorily vaccinated against COVID-19? | 4 | 3–5 | ||||
| 13. Do you think mass vaccination against COVID-19 is justified? | 5 | 4–5 | ||||
| 14. Do you think the current government-organized COVID-19 vaccination schedule and phases are sufficient? | 3 | 2–3 | ||||
| 15. Do you think the COVID-19 vaccine is effective? | 4 | 3–5 | ||||
| 16. Do you think that COVID-19 vaccination can prevent people from getting infected due to herd immunity? | 5 | 4–5 | ||||
| Domain 3 | 17. Are you worried that side effects may occur after vaccination against COVID-19? | 0.834 | 3 | 2–4 | 3.6 (3.0–4.0) | <0.001 |
| 18. Do you think that vaccination against COVID-19 can be dangerous? | 4 | 3–5 | ||||
| 19. Are you worried that vaccination against COVID-19 may not be effective? | 4 | 2–4 | ||||
| 20. Are you very concerned about the vaccination against COVID-19 currently being introduced in our country? | 4 | 3–5 | ||||
| 21. Do you discuss your concerns about vaccinations openly with your GP or other healthcare professional? | 2 | 1–4 | ||||
| 22. Do you think that COVID-19 vaccination is safe? | 2 | 1–2 | ||||
| 23. Do you think that the COVID-19 vaccine “causes disease symptoms”? | 4 | 3–5 | ||||
| 24. Do you think that the COVID-19 vaccine causes immediate, short-term side effects (such as fever or headache)? | 3 | 2–4 | ||||
| 25. Are you concerned about long-term side effects following the COVID-19 vaccination? | 4 | 2–5 | ||||
| 26. Do you think that the COVID-19 vaccine causes COVID-19 and weakens the immune system? | 5 | 4–5 | ||||
| Domain 4 | 27. Do you think that COVID-19 is a serious threat to health and life? | 0.834 | 1 | 1–2 | 1.5 (1.0–2.3) | 0.29 |
| 28. Are you afraid of hospitalization due to COVID-19? | 2 | 1–4 | ||||
| 29. Are you afraid of losing physical or mental fitness due to COVID-19? | 1 | 1–3 | ||||
| 30. Are you afraid of prolonged loss of professional or social efficiency related to COVID-19? | 1 | 1–2 | ||||
| 31. Do you think COVID-19 poses a serious threat to the health of others? | 1 | 1–1 | ||||
| 32. Do you think that the risk of getting COVID-19 is so low that there is no need for vaccination? | 1 | 1–2 |
1 (general attitude towards vaccinations) and 2 (positive attitude towards vaccinations); 3 (concerns about the side effects of the COVID-19 vaccine) and 4 (concerns about contracting COVID-19).
Attitude towards vaccination against COVID-19 in the studied group depending on occupation, university degree and age.
| Characteristic (Variable) | Attitude towards COVID-19 Vaccine | |||
|---|---|---|---|---|
| Domain 1 | Domain 2 | Domain 3 | Domain 4 | |
| Gender: | ||||
| 1. Women ( | 3.9 (3.4–4.0) | 3.7 (3.3–4.3) | 3.3 (2.8–3.6) | 1.7 (1.2–2.5) |
| 2. Men ( | 3.7 (3.0–4.0) | 3.8 (3.5–4.2) | 3.2 (2.7–3.7) | 1.6 (1.1–2.4) |
| Status: | 4.2 (3.8–4.7) | 4.2 (3.9–4.3) | 3.6 (3.2–3.9) | 2.5 (1.0–2.2) |
| 1. Medical Students ( | 3.7 (3.0–4.3) | 3.8 (3.3–4.3) | 3.1 (2.6–3.5) | 1.3 (1.0–2.1) |
| 2. Health Care Workers ( | ||||
| Profession: | ||||
| 1. Non-medical staff ( | 3.7 (3.4–3.9) | 4.3 (3.9–4.4) | 3.4 (3.1–3.9) | 1.2 (1.0–1.5) |
| 2. Other medical staff ( | 3.4 (2.9–4.3) | 4.1 (3.4–4.4) | 3.7 (2.4–4.0) | 1.8 (1.0–3.0) |
| 3. Students ( | 3.6 (3.1–4.0) | 4.1 (3.8–4.3) | 3.8 (3.2–4.1) | 1.7 (1.2–2.5) |
| 4. Nurses ( | 3.1 (2.6–3.4) | 3.7 (3.3–4.3) | 3.0 (2.7–3.5) | 1.2 (1.0–2.0) |
| 5. Midwives ( | 3.0 (2.4–3.7) | 3.4 (3.0–3.8) | 3.1 (2.4–3.8) | 1.5 (1.0–2.7) |
| 6. Paramedics ( | 2.6 (1.6–3.6) | 3.3 (2.1–4.5) | 3.1 (2.1–4.0) | 2.5 (1.0–4.0) |
| 7. Doctors ( | 3.9 (3.4–4.0) | 4.3 (3.8–4.5) | 3.8 (3.0–4.0) | 1.7 (1.2–2.5) |
| Field of study: | ||||
| 1. Nursing ( | 3.1 (2.6–3.6) | 3.7 (3.3–4.3) | 3.1 (2.7–3.6) | 1.2 (1.0–2.0) |
| 2. Obstetrics ( | 3.0 (2.4–3.7) | 3.4 (3.0–3.8) | 3.1 (2.4–3.8) | 1.5 (1.0–2.7) |
| 3. Dentistry ( | 3.3 (2.7–4.0) | 4.1 (3.6–4.4) | 3.7 (2.9–4.0) | 1.5 (1.2–2.5) |
| 4. Pharmacy ( | 3.6 (2.9–4.0) | 4.1 (3.7–4.4) | 3.8 (3.3–4.1) | 1.8 (1.2–2.8) |
| 5. Public health ( | 3.3 (2.9–3.6) | 3.9 (3.5–4.3) | 3.3 (3.0–3.8) | 1.7 (1.2–2.3) |
| 6. Dietetics ( | 3.4 (3.0–3.9) | 3.9 (3.2–4.5) | 3.2 (2.4–3.9) | 1.7 (1.0–2.3) |
| 7. Medicine ( | 3.6 (3.3–4.0) | 4.2 (3.9–4.3) | 3.9 (3.3–4.1) | 1.6 (1.0–2.3) |
| 8. Medical analysis ( | 3.6 (3.3–3.9) | 4.2 (3.8–4.4) | 3.6 (3.0–3.9) | 1.6 (1.2–2.4) |
| 9. Emergency medicine ( | 3.6 (2.4–3.9) | 3.4 (2.6–3.7) | 3.9 (2.9–4.2) | 2.3 (1.8–3.3) |
| Age (years): | ||||
| 18–24 ( | 3.6 (3.0–4.0) | 4.2 (3.7–4.4) | 3.7 (3.2–4.0) | 1.7 (1.2–2.5) |
| 25–34 ( | 3.6 (3.0–4.0) | 4.1 (3.6–4.3) | 3.7 (2.8–4.1) | 1.3 (1.0–2.0) |
| 35–44 ( | 3.0 (2.3–3.6) | 3.7 (3.0–4.3) | 3.4 (2.3–3.8) | 1.7 (1.0–2.7) |
| 45–54 ( | 3.1 (2.9–3.4) | 3.8 (3.5–4.3) | 3.1 (2.8–3.4) | 1.2 (1.0–1.6) |
| 55–64 ( | 2.7 (2.4–3.0) | 3.8 (3.3–3.9) | 3.1 (2.4–3.4) | 4.2 (3.7–4.4) |
1 (general attitudes towards vaccination) and 2 (positive attitudes towards vaccinations); 3 (concerns about the side effects of the COVID-19 vaccine) and 4 (concerns about COVID-19). Me—median, Q1–Q3—interquartile range.
Attitudes towards vaccination against COVID-19 and results for domains 1 and 2.
| Attitudes towards Vaccination against COVID-19 (Points) | Number (Percentage) of Respondents | |||||||
|---|---|---|---|---|---|---|---|---|
| Domain 1 | Domain 2 | Domain 3 | Domain 4 | |||||
|
| % |
| % |
| % |
| % | |
| Strongly negative (1) | 5 | 1.0 | 4 | 0.8 | 6 | 1.2 | 220 | 44.2 |
| Rather negative (2) | 72 | 17.7 | 16 | 3.2 | 66 | 13.5 | 168 | 33.5 |
| No opinion (3) | 183 | 37.1 | 67 | 13.9 | 149 | 30.3 | 83 | 17.1 |
| Rather positive (4) | 237 | 47.2 | 332 | 67.1 | 252 | 50.2 | 22 | 4.4 |
| Strongly positive (5) | 0 | 0.0 | 75 | 14.9 | 24 | 4.8 | 4 | 0.8 |
| Me (Q1–Q3) | 3 (3–4) | 4 (4–4) | 4 (3–4) | 2 (1–2) | ||||
| Min–Max | 1–4 | 1–5 | 1–5 | 1–5 | ||||
Domain 1—general attitude towards vaccinations; Domain 2—positive attitude towards COVID-19 vaccination; M—mean, SD—standard deviation; Me—median, Q1, Q2—quartile 1 and 2, Min–Max—minimum and maximum values.
The values of Spearman’s rank correlation coefficients between age and the assessment of the attitude to vaccination in the four domains of the questionnaire.
| Domine 1 [Pts.] | Domine 2 [Pts.] | Domine 3 [Pts.] | Domine 4 [Pts.] | |
|---|---|---|---|---|
| Age [years] | rho = −0.301 | rho = −0.246 | rho = −0.176 | rho = 0.072 |
Figure 1ROC curve for age-based positive domain 1 vaccination estimation. Area under the curve (AUC) and the sensitivity and specificity of the test for the age cutoff <26 years.
Number (proportion) of people in groups differing in vaccination ratio and age, and the results of Chi-square tests of independence and odds ratios.
| Age (Years) | Attitude Against | OR (95% CI) | |||
|---|---|---|---|---|---|
| Positive | Negative | ||||
| Domain 1 | <26 | 130 (74.3%) | 52 (36.1%) | <0.001 | 5.11 (3.16–8.22) |
| ≥26 | 45 (25.7%) | 92 (63.9%) | 1.00 (ref.) | ||
| Domain 2 | <26 | 125 (71.4%) | 57 (39.6%) | <0.001 | 3.82 (2.39–6.09) |
| ≥26 | 50 (25.7%) | 87 (60.4%) | 1.00 (ref.) | ||
| Domain 3 | <26 | 34 (82.9%) | 148 (53.2%) | <0.001 | 4.27 (1.83–9.95) |
| ≥26 | 7 (17.1%) | 130 (46.8%) | 1.00 (ref.) | ||
| Domain 4 | ≥24 | 20 (80.0%) | 178 (60.5%) | 0.087 | 2.61 (0.95–7.14) |
| <24 | 5 (20.0%) | 116 (39.5%) | 1.00 (ref.) | ||
Number (proportion) of people in groups differing in vaccination ratio and status, and the results of Chi-square tests of independence and odds ratios (row and adjusted).
| Status | Positive Attitude |
| OR | ORadj. | ||
|---|---|---|---|---|---|---|
| Yes | No | |||||
| D1 | Medical student | 120 (68.6%) | 43 | <0.001 | 5.12 | 2.58 |
| Health professional | 55 | 101 (70.1%) | 1.00 | 1.00 | ||
| D2 | Medical student | 116 (66.3%) | 47 | <0.001 | 4.06 | 2.20 |
| Health professional | 59 (33.7%) | 97 | 1.00 | 1.00 | ||
| D3 | Medical student | 33 (80.5%) | 130 (46.8%) | <0.001 | 4.70 | 3.15 |
| Health professional | 8 (19.5%) | 148 (53.2%) | 1.00 | 1.00 | ||
| D4 | Medical student | 8 (32.0%) | 155 (52.7%) | 0.075 | 0.42 | 0.44 |
| Health professional | 17 (68.0%) | 139 (47.3%) | 1.00 | 1.00 | ||
ORadj.—age-adjusted odds ratio.