| Literature DB >> 26756210 |
Emily Sellens1, Jacqueline M Norris1, Navneet K Dhand1, Jane Heller2, Lynne Hayes2, Heather F Gidding3,4, Harold Willaby5, Nicholas Wood3,6, Katrina L Bosward1.
Abstract
Q fever, caused by Coxiella burnetii, is a serious zoonotic disease in humans with a worldwide distribution. Many species of animals are capable of transmitting C. burnetii, and consequently all veterinary workers are at risk for this disease. An effective Q fever vaccine has been readily available and used in Australia for many years in at-risk groups, and the European Centre for Disease Prevention and Control has recently also called for the use of this vaccine among at-risk groups in Europe. Little is known about attitudes towards this vaccine and vaccine uptake in veterinary workers. This study aimed to determine the Q fever vaccination status of veterinarians and veterinary nurses in Australia and to assess and compare the knowledge and attitudes towards Q fever disease and vaccination of each cohort. An online cross-sectional survey performed in 2014 targeted all veterinarians and veterinary nurses in Australia. Responses from 890 veterinarians and 852 veterinary nurses were obtained. Binary, ordinal and multinomial logistic regression were used to make comparisons between the two cohorts. The results showed that 74% of veterinarians had sought vaccination compared to only 29% of veterinary nurses. Barriers to vaccination among those not vaccinated did not differ between cohorts, and included a lack of perceived risk, financial expense, time constraints, and difficulty in finding a vaccine provider. Poor knowledge and awareness of Q fever disease and vaccination were additional and notable barriers for the veterinary nursing cohort, suggesting veterinary clinics and veterinarians may not be meeting their legal responsibility to educate staff about risks and risk prevention. Further evaluation is needed to identify the drivers behind seeking and recommending vaccination so that recommendations can be made to improve vaccine uptake.Entities:
Mesh:
Year: 2016 PMID: 26756210 PMCID: PMC4710533 DOI: 10.1371/journal.pone.0146819
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographics and veterinary work of participants in study of Q fever knowledge attitudes and practices in 2014 in Australia.
| Veterinarians (n = 890) | Veterinary Nurses (n = 852) | |
|---|---|---|
| Characteristic | No.(%) | No.(%) |
| Female | 560 (63%) | 836 (98%) |
| Male | 321 (36%) | 14 (2%) |
| Not specified | 9 (1%) | 2 (<1%) |
| Range | 21–80 years | 18–69 years |
| Mean | 40 years | 33 years |
| Median | 38 years | 31 years |
| Standard deviation | 12 years | 10 years |
| Interquartile Range | 19 years | 16 years |
| 18–30 years | 251 (28%) | 403 (48%) |
| 31–40 years | 238 (27%) | 229 (27%) |
| 41–50 years | 202 (23%) | 144 (17%) |
| 51+ years | 194 (22%) | 68 (8%) |
| Range | 0.2–60 years | 0.3–47 years |
| Mean | 16.2 years | 10 years |
| Median | 14 years | 8 years |
| Standard deviation | 12 years | 8 years |
| Interquartile Range | 19 years | 10 years |
| 0.2–5 years | 192 (22%) | 305 (37%) |
| 6–10 years | 172 (20%) | 222 (27%) |
| 11–20 years | 225 (26%) | 219 (26%) |
| 21–30 years | 157 (18%) | 64 (8%) |
| 31+ years | 128 (15%) | 21 (3%) |
| Small animals | 512 (58%) | 640 (75%) |
| Farm/mixed animals | 297 (33%) | 132 (15%) |
| Equine/other | 37 (4%) | 17 (2%) |
| Not specified | 44 (5%) | 63 (7%) |
| Corporate | 32 (4%) | 48 (6%) |
| Group | 575 (65%) | 441 (52%) |
| Solo | 169 (19%) | 256 (30%) |
| University | 31 (3%) | 36 (4%) |
| Other | 45 (5%) | 19 (2%) |
| Not specified | 38 (4%) | 52 (6%) |
aUnless specified otherwise. Percentages are of total respondents for each parameter. Not all participants responded to all questions.
bOne veterinarian within the clinic
cMultiple veterinarians within the clinic
dMultiple veterinarians within a clinic owned and managed by a corporate entity.
Binary logistic regression analysis of attitudes towards the Q fever vaccine among veterinarians and veterinary nurses surveyed in Australia in 2014.
| Agree | Disagree | Total | Adjusted Odds Ratio | 95% CI | P-value | |
|---|---|---|---|---|---|---|
| Nurses | 727 (97%) | 20 (3%) | 747 | 1 | ||
| Vets | 805 (97%) | 22 (3%) | 827 | 1.13 | 0.55–2.35 | 0.75 |
| Nurses | 645 (88%) | 86 (12%) | 731 | 1 | ||
| Vets | 765 (93%) | 54 (7%) | 819 | 2.18 | 1.44–3.38 | <0.001 |
| Nurses | 131 (18%) | 600 (82%) | 731 | 1 | ||
| Vets | 96 (12%) | 723 (88%) | 819 | 0.53 | 0.38–0.74 | <0.001 |
| Nurses | 312 (44%) | 404 (56%) | 716 | 1 | ||
| Vets | 327 (41%) | 479 (59%) | 806 | 0.77 | 0.60–0.97 | 0.03 |
aOdds of stating “agree”
bRatio adjusted for age, sex and state
cConfidence interval
dLikelihood ratio Chi-square p-value.
Fig 1Boxplot of self-rated Q fever knowledge among veterinarians and veterinary nurses.
Ordinal logistic regression analysis of the perceptions of the Q fever vaccination among veterinarians and veterinary nurses surveyed in Australia in 2014.
| Strongly disagree/ disagree | Slightly disagree | Slightly agree | Agree/ strongly agree | Total | Adjusted OR | 95% CI | P-value | |
|---|---|---|---|---|---|---|---|---|
| Nurses | 4 (<1%) | 12 (2%) | 78 (15%) | 441 (82%) | 535 | 1 | ||
| Vets | 3 (<1%) | 19 (3%) | 71 (10%) | 612 (87%) | 705 | 1.49 | 1.05–2.13 | 0.027 |
| Nurses | 5 (1%) | 15 (3%) | 84 (17%) | 397 (79%) | 501 | 1 | ||
| Vets | 1 (<1%) | 6 (1%) | 43 (7%) | 587 (92%) | 637 | 3.3 | 2.19–5.08 | <0.001 |
| Nurses | 90 (25%) | 50 (14%) | 100 (28%) | 118 (33%) | 358 | 1 | ||
| Vets | 236 (51%) | 71 (15%) | 76 (16%) | 78 (17%) | 461 | 0.35 | 0.26–0.47 | <0.001 |
aOdds Ratio: odds of stating “agree/strongly agree” modelled over the lower levels of agreement. Assumption of proportionality met.
bAdjusted for age, sex and state.
cWald Chi-square P-value.
Fig 2Perceived exposure risk of veterinarians and veterinary nurses to C. burnetii across different practice types.
Multinomial logistic regression analysis of level of perceived personal exposure to C. burnetii among veterinarians versus veterinary nurses surveyed in Australia in 2014.
| Nil | Low Exposure | Moderate Exposure | High Exposure | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n (%) | n (%) | Adjusted OR | 95% CI | p-value | n (%) | Adjusted OR | 95% CI | p-value | n (%) | Adjusted OR | 95% CI | p-value | |
| 151 (19%) | 329 (41%) | 1 | 88 (11%) | 1 | 24 (3%) | 1 | |||||||
| 33 (4%) | 414 (49%) | 5.4 | 3.5–8.7 | <0.001 | 216 (25%) | 8.2 | 4.8–13.9 | <0.001 | 94 (11%) | 12.5 | 6.4–25.1 | <0.001 | |
aOdds Ratio; logits modelled using "nil exposure" as the reference category and adjusted for age, sex, state and practice type.
bWald Chi-square p-value.
Q fever vaccination status of veterinarians and veterinary nurses surveyed in Australia in 2014.
| All vets (n = 796) | Vets graduated in Australia (n = 721) | Vets graduated internationally (n = 75) | Nurses (n = 688) | |
|---|---|---|---|---|
| Vaccinated | 488 (61%) | 478 (66%) | 10 (13%) | 162 (24%) |
| Pre-screen positive | 99 (12%) | 84 (12%) | 15 (20%) | 37 (5%) |
| Total attempted | 587 (74%) | 562 (78%) | 25 (33%) | 199 (29%) |
| Not aware of the vaccine | 57 (7%) | 38 (5%) | 19 (25%) | 205 (30%) |
| Aware of the vaccine | 152 (19%) | 121 (17%) | 31 (41%) | 284 (41%) |
| Total not attempted | 209 (26%) | 159 (22%) | 50 (67%) | 489 (71%) |
Proportional odds of the influence of known barriers to vaccination among veterinary nurses versus veterinarians surveyed in Australia in 2014.
| Influence | Total | Adjusted OR | 95% CI | p-value | |||
|---|---|---|---|---|---|---|---|
| Nil n(%) | Minor/ Moderate n(%) | Major/ sole n(%) | |||||
| Nurses | 194 (71%) | 39 (14%) | 41 (15%) | 274 | 1 | ||
| Vets | 98 (66%) | 28 (19%) | 22 (15%) | 148 | 0.66 | 0.34–1.28 | 0.21 |
| Nurses | 234 (86%) | 35 (13%) | 4 (1%) | 273 | 1 | ||
| Vets | 128 (87%) | 17 (12%) | 2 (1%) | 147 | 1.65 | 0.65–4.62 | 0.305 |
| Nurses | 173 (63%) | 65 (24%) | 36 (13%) | 274 | 1 | ||
| Vets | 116 (78%) | 22 (15%) | 10 (7%) | 148 | 1.19 | 0.60–2.43 | 0.628 |
| Nurses | 211 (77%) | 55 (20%) | 8 (3%) | 274 | 1 | ||
| Vets | 109 (74%) | 34 (23%) | 4 (3%) | 147 | 0.91 | 0.45–1.91 | 0.648 |
| Nurses | 198 (72%) | 61 (22%) | 15 (5%) | 274 | 1 | ||
| Vets | 100 (68%) | 31 (21%) | 15 (10%) | 146 | 0.53 | 0.26–1.06 | 0.063 |
| Nurses | 134 (49%) | 82 (30%) | 60 (22%) | 276 | 1 | ||
| Vets | 72 (49%) | 35 (24%) | 41 (28%) | 148 | 1.04 | 0.58–1.88 | 0.893 |
aOdds Ratio: odds of stating “major/sole influence” modelled over the lower levels of influence. Proportionality assumption was met.
bWald Chi-square p-value.
Fig 3Level of influence of sources of biosecurity information on veterinarians and veterinary nurses.