| Literature DB >> 35335092 |
María Julia Ajejas Bazán1,2,3, Francisco Javier Pérez-Rivas1,3, Julia Wärnberg3,4,5, Carlos Fuentes Mora6, Lucía Elena Ballester Orcal7, Jose Manuel Gómez Crespo2, Candelas López-López1,3,8,9, Silvia Domínguez-Fernández3,10, Milagros Rico-Blázquez1,3,11, Napoleón Pérez-Farinós3,5,12.
Abstract
(1) Background: Vaccination is the most effective intervention to control seasonal influenza morbidity and mortality. The present study aimed to determine the influenza vaccination coverage in the Military Health Corps personnel in the 2020-2021 season, as well as the time trend and the possible influence of the pandemic on coverage, in order to study the reasons that led to the non-vaccination of health professionals and to analyze adverse drug reactions (ADRs). (2)Entities:
Keywords: adverse reactions; influenza vaccines; military personnel; vaccination coverage
Year: 2022 PMID: 35335092 PMCID: PMC8953286 DOI: 10.3390/vaccines10030460
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Influenza vaccination coverage against seasonal influenza in CMS according year (2016, 2019, 2020) and study variables.
| Vaccinated 2016–2017 n (%) | Vaccinated 2019–2020 n (%) | Vaccinated 2020–2021 n (%) | |||||
|---|---|---|---|---|---|---|---|
| Sex | Male | 93 (77.5) | 281 (66.3) | 365 (61.9) | 0.028 | ||
| Female | 27 (22.5) | 143 (33.7) | 225 (38.1) | ||||
| Age groups | 22–30 | 7 (9.1) | 69 (16.3) | 137 (23.2) | 0.002 | ||
| 31–40 | 14 (15.0) | 118 (27.8) | 141 (23.9) | ||||
| 41–50 | 24 (26.4) | 98 (23.1) | 125 (21.2) | ||||
| 51–60 | 75 (47.7) | 91 (21.5) | 131 (22.2) | ||||
| >60 | 2 (1.8) | 48 (11.3) | 56 (9.5) | ||||
| Army | Ministry of Defense | 40 (39.8) | 202 (47.6) | 269 (45.6) | 0.140 | ||
| Army | 24 (24.8) | 120 (28.3) | 200 (33.9) | ||||
| Navy | 14 (10.6) | 43 (10.1) | 55 (9.3) | ||||
| Air Force | 24 (24.8) | 36 (8.5) | 43 (7.3) | ||||
| Military Emergency Unit | 0 (0.0) | 23 (5.4) | 23 (3.9) | ||||
| Military grades | Lieutenant | 149 (35.1) | 216 (36.6) | 0.022 | |||
| Captain | 132 (31.1) | 181 (30.7) | |||||
| Commander | 59 (13.9) | 75 (12.7) | |||||
| Lieutenant Colonel | 55 (13.0) | 89 (15.1) | |||||
| Colonel | 28 (6.6) | 28 (4.7) | |||||
| General | 1 (0.2) | 1 (0.2) | |||||
| Specialty in health | Nurse | 53 (44.1) | 215 (51.2) | 318 (54.3) | |||
| Medicine | 49 (40.8) | 147 (35.0) | 188 (32.1) | ||||
| Pharmacy | 8 (6.6) | 15 (3.6) | 18 (3.1) | ||||
| Psychology | 9 (7.7) | 32 (7.6) | 38 (6.5) | ||||
| Veterinary | 0 (0.0) | 5 (1.2) | 9 (1.5) | ||||
| Dentistry | 1 (0.8) | 6 (1.4) | 15 (2.6) | ||||
| Time worked | ≤10 | 10 (8.4) | 165 (38.9) | 243 (41.5) | |||
| 11–20 | 23 (19.2) | 64 (15.1) | 90 (15.4) | ||||
| 21–30 | 35 (29.1) | 101 (23.8) | 152 (25.9) | ||||
| >30 | 52 (43.3) | 94 (22.2) | 101 (17.2) | ||||
| Place of work | Units/Centers/Organizations | 96 (80.0) | 0.782 | 320 (75.5) | 0.002 | 470 (79.7) | 0.599 |
| Hospital | 24 (20.0) | 104 (24.5) | 120 (20.3) | ||||
| Do you live with chronically ill people? | Yes | 20 (66.7) | 76 (17.9) | 98 (16.6) | 0.181 | ||
| No | 93 (37.8) | 348 (82.1) | 492 (83.4) | ||||
| Do you live with pregnant women? | Yes | 9 (7.9) | 13 (3.1) | 0.002 | 13 (2.2) | 0.083 | |
| No | 104 (92.1) | 411 (96.9) | 577 (97.8) | ||||
| Do you live with people over 65 years old? | Yes | 19 (16.8) | 49 (11.7) | 0.001 | 52 (8.9) | 0.108 | |
| No | 94 (83.2) | 371 (88.3) | 534 (91.1) |
Predictors of influenza vaccination uptake high risk subjects.
| Vaccinated 2016–2017 OR (CI 95%) | Vaccinated 2019–2020 OR (CI 95%) | Vaccinated 2020–2021 OR (CI 95%) | ||
|---|---|---|---|---|
| Sex | Male | 2.58 (1.84–3.63) | 1.86 (1.41–2.44) | 1.67 (0.95–2.95) |
| Female | 1 | 1 | 1 | |
| Age groups | 22–30 | 2.31 (0.76–7.04) | 4.56 (2.54–8.21) | 4.00 (1.31–12.19) |
| 31–40 | 3.54 (2.05–6.10) | 10.89 (3.70–32.10) | 4.56 (2.54–8.21) | |
| 41–50 | 3.67 (2.77–4.87) | 10.09 (6.63–15.34) | 3.66 (2.75–4.46) | |
| 51–60 | 5.62 (3.85–8.21) | 6.65 (4.90–9.02) | 3.51 (1.98–6.03) | |
| >60 | 1 | 1 | 1 | |
| Army | Ministry of Defense | 2.58 (0.89–7.44) | 2.08 (1.33–3.20) | |
| Army | 2.16 (1.18–3.95) | 1.64 (0.86–3.12) | ||
| Navy | 2.02 (1.30–3.13) | 1.58 (0.85–2.94) | ||
| Air Force | 1.58 (0.85–2.94) | 1.27 (0.40–4.00) | ||
| Military Emergency Unit | 1 | 1 | ||
| Military grades | Lieutenant | 1.43 (1.18–1.76) | 1.56 (1.06–1.68) | |
| Captain | 1.39 (1.12–1.95) | 1.42 (1.21–1.86)) | ||
| Commander | 1.31 (1.16–1.45) | 1.37 (1.17–1.38) | ||
| Lieutenant Colonel | 1.30 (1.07–1.55) | 1.29 (1.10–1.49) | ||
| Colonel | 1.29 (1.07–1.52) | 1.22 (1.15–1.39) | ||
| General | 1 | 1 | ||
| Specialty in health | Nurse | 3.65 (2.76–4.85) | 3.72 (2.69–4.92) | 3.95 (2.15–5.15) |
| Medicine | 3.56 (2.06–6.10)) | 3.68 (2.13–5.58) | 3.75 (2.14–6.20)) | |
| Pharmacy | 2.25 (1.02–4.95) | 2.32 (1.15–5.05) | 2.47 (1.02–4.95) | |
| Psychology | 2.17 (1.19–3.94) | 2.26 (1.08–4.14) | 2.39 (1.32–4.04) | |
| Dentistry | 2.02 (1.30–3.14) | 2.13(1.12–3.26) | 2.19 (1.67–4.04) | |
| Veterinary | 1 | 1 | 1 | |
| Time worked | ≤10 | 1.43 (1.18–1.82) | 1.52 (1.06–1.92) | |
| 11–20 | 1.39 (1.09–1.88) | 1.48 (1.16–1.65) | ||
| 21–30 | 1.31 (1.14–1.44) | 1.33 (1.22–1.34) | ||
| >30 | 1 | 1 |
Non-vaccination factors.
| Sex | ||||||||
|---|---|---|---|---|---|---|---|---|
| Total | Male | Female | ||||||
| n (%) | CI 95% | n (%) | CI 95% | n (%) | CI 95% | |||
| Non-vaccination factors | No risk group | 51 (23.0) | (17.5–28.5) | 23 (45.1) | (38.6–51.6) | 28 (54.9) | (48.4–61.4) | |
| Possibility of occurrence of AMR | 21 (9.5) | (5.6–13.4) | 4 (19.0) | (13.8–24.2) | 17 (81.0) | (75.8–86.2) | ||
| Inconvenient schedule, overload, forgetfulness | 20 (9.0) | (5.2–12.8) | 13 (65.0) | (58.7–71.3) | 7 (35.0) | (28.7–41.3) | ||
| Doubtful effectiveness | 25 (11.3) | (7.1–15.5) | 21 (84.0) | (79.2–88.8) | 4 (16.0) | (11.2–20.8) | ||
| Low probability of getting sick | 30 (13.5) | (9.0–18.0) | 24 (80.0) | (74.7–85.3) | 6 (20.0) | (14.7–25.3) | ||
| No knowledge of campaign | 23 (10.3) | (6.3–14.3) | 9 (39.1) | (32.7–45.5) | 14 (60.9) | (54.5–67.3) | ||
| Avoid vaccine administration | 5 (2.2) | (0.3–4.1) | 5 (100.0) | (100.0–100.0) | 0 (0.0) | (0.0–0.0) | ||
| Reliance on alternative medicines | 9 (4.1) | (1.5–6.7) | 5 (55.6) | (49.1–62.1) | 4 (44.4) | (37.9–50.9) | ||
| Other factors | 38 (17.1) | (12.1–22.1) | 17 (44.7) | (38.2–51.2) | 21 (55.3) | (48.8–61.8) | ||
| Total | 222 (100.0) | (100.0–100.0) | 121 (54.5) | (47.9–61.1) | 101 (45.5) | (38.1–52.9) | ||
Types of adverse reactions.
| Sex | ||||||||
|---|---|---|---|---|---|---|---|---|
| Total n (%) | CI 95% | Male n (%) | CI 95% | Female n (%) | CI 95% | |||
| Types of adverse reactions | Induration | 12 (15.0) | (7.2–22.8) | 8 (66.7) | (56.4–77.0) | 4 (33.3) | (23.0–43.6) | |
| Erythema | 9 (11.3) | (4.4–18.2) | 9 (100.0) | (100.0–100.0) | 0 (0.0) | (0.0–0.0) | ||
| Myalgia_arthralgia | 4 (5.0) | (0.2–9.8) | 4 (100.0) | (100.0–100.0) | 0 (0.0) | (0.0–0.0) | ||
| Inflammatión | 18 (22.5) | (13.3–31.7) | 13 (72.2) | (62.4–82.0) | 5 (27.8) | (18.0–37.6) | ||
| Pain | 19 (23.8) | (14.1–33.5) | 10 (52.6) | (41.7–63.5) | 9 (47.4) | (36.5–58.3) | ||
| Fever | 9 (11.2) | (4.3–18.1) | 5 (55.6) | (44.7–66.5) | 4 (44.4) | (33.5–55.3) | ||
| Other | 9 (11.2) | (4.3–18.1) | 0 (0.0) | (0.0–0.0) | 9 (100) | (100.0–100.0) | ||
| Total (n = 832) | 80 (100.0) | (100.0–100.0) | 49 (61.2) | (50.5–71.9) | 31 (38.8) | (28.1–49.5) | ||