| Literature DB >> 35028408 |
Harish K Tiwari1, Vishal Proch2, Balbir B Singh1,2, Kathrin Schemann1,3, Michael Ward1, Jaswinder Singh4, Jatinder P S Gill2, Navneet K Dhand1.
Abstract
The exposure to Brucella species is an occupational hazard for veterinary personnel in India. In our previous study, paraveterinarians and animal handlers were found to be at higher risk of being seropositive. In the present study, we further investigate comparative exposure risk to brucellosis amongst the veterinary professionals, identify risk factors, and evaluate the perceptions and practices towards using adequate personal protective equipment (PPE) while attending high risk veterinary interventions. A cross-sectional study was conducted amongst veterinary personnel in the Punjab state of India. Logistic and negative binomial regression models were constructed to interpret the influence of categorical and numerical variables on prevalence of brucellosis and the adequacy of PPE use, respectively. Compared to veterinarians, animal handlers were less likely to consider veterinary practice in sheep and goats (odds ratio [OR] 0.3; 95% confidence interval [CI]: 0.2-0.7) or assisting in obstetric interventions (OR 0.3, 95% CI 0.1-0.8) as potential exposures. They were less aware of the signs and symptoms of the disease in humans (OR 0.05, 95% CI 0.02-0.14) and of the availability of vaccines for cattle (OR 0.07, 95% CI 0.01-0.3) than the veterinarians, and were least likely of the three groups to recommend vaccination of cattle against brucellosis to animal owners (OR 0.1, 95% CI 0.02-0.3). Compared to veterinarians, they were also less likely to consider zoonotic risk (OR 0.4, 95% CI 0.2-0.8) or better efficiency (OR 0.1, 95% CI 0.05-0.4) as enablers of PPE use during veterinary procedures. Of the three occupational groups, animal handlers were also less likely to use adequate PPE during high-risk veterinary exposures, although they were found to have handled the highest number of cases of abortion. The average use of adequate PPE during high-risk interventions in one month preceding this study was lowest for animal handlers. Veterinary personnel with a higher rate of PPE use during high-risk veterinary interventions were likely to obtain information on brucellosis from government sources (p = 0.06) and felt that PPE use enhanced their professional efficiency (Incidence rate ratio [IRR] 3.3, 95% CI 1.5-8.1) compared to those who were less likely to use adequate PPE. We recommend concerted efforts to increase awareness amongst veterinary personnel, particularly amongst animal handlers, regarding brucellosis and the importance of biosecurity measures in veterinary practice. Designing training courses on the importance of PPE use along with formulation of biosecurity guidelines at local levels could help reduce the prevalence of the disease in veterinary personnel.Entities:
Keywords: Animal handlers; Brucellosis; India; Occupational exposure; PPE; Para-veterinarians; Veterinarians
Year: 2021 PMID: 35028408 PMCID: PMC8715116 DOI: 10.1016/j.onehlt.2021.100367
Source DB: PubMed Journal: One Health ISSN: 2352-7714
Fig. 1Study area for the comparison of brucellosis prevalence amongst the veterinary personnel in Ludhiana district of Punjab state, India.
Contingency tables and Chi-square test results for cross-tabulations of demographic and brucellosis risk factors with occupation in a study of veterinary personnel in India (n = 296).
| Parameters | Categories | Total N (%) | Occupation n (%) | χ2 | ||
|---|---|---|---|---|---|---|
| Veterinarians | Para-veterinarians | Handlers | ||||
| Total participants | 296 (100.0) | 67 (22.6) | 134 (45.3) | 95 (32.1) | – | |
| Demographic factors | ||||||
| Tehsil (region) | A | 55 (18.6) | 9 (13.4) | 24 (17.9) | 22 (23.2) | 0.50 |
| B | 30 (10.1) | 7 (10.5) | 13 (9.7) | 10 (10.5) | ||
| C | 83 (28.0) | 21 (31.3) | 36 (26.9) | 26 (27.4) | ||
| D | 35 (11.8) | 12 (17.9) | 16 (11.9) | 7 (7.4) | ||
| E | 47 (15.9) | 10 (14.9) | 19 (14.2) | 18 (19.0) | ||
| F | 46 (15.6) | 8 (12.0) | 26 (19.4) | 12 (12.6) | ||
| Age (years) | 20–30 | 38 (12.8) | 7 (10.5) | 19 (14.2) | 12 (12.6) | <0.001 |
| 31–40 | 103 (34.8) | 22 (32.8) | 45 (33.6) | 36 (37.9) | ||
| 41–50 | 59 (19.9) | 25 (37.3) | 11 (8.2) | 23 (24.2) | ||
| 50+ | 96 (32.4) | 13 (19.4) | 59 (44.0) | 24 (25.3) | ||
| Experience (years) | 0–9 | 87 (29.4) | 21(31.4) | 32 (23.9) | 34 (35.8) | <0.001 |
| 10–18 | 87 (29.4) | 23(34.3) | 34 (25.4) | 30 (31.6) | ||
| 19–27 | 43(14.6) | 14 (20.9) | 17 (12.6) | 12 (12.6) | ||
| 28–36 | 71(23.9) | 9 (13.4) | 49 (36.6) | 13 (13.7) | ||
| 37–45 | 8 (2.7) | 0 | 2 (1.5) | 6 (6.3) | ||
| Location of work | Urban | 67 (22.6) | 7 (10.5) | 31 (23.1) | 29 (30.5) | 0.053 |
| Rural | 197 (66.6) | 51 (76.1) | 88 (65.7) | 58 (61.1) | ||
| Urban + rural | 32(10.8) | 9 (13.4) | 15 (11.2) | 8 (8.4) | ||
| Practice type | Large animals | 37 (12.8) | 7 (10.9) | 21 (15.8) | 9 (9.7) | 0.35 |
| Mixed practice | 253 (87.2) | 57 (89.1) | 112 (84.2) | 84 (90.3) | ||
| Gender | Male | 276 (93.6) | 53 (79.1) | 133 (100.0) | 90 (94.7) | <0.001* |
| Female | 19 (6.4) | 14 (20.9) | 0 (0.0) | 5 (5.3) | ||
| Brucellosis risk factors | ||||||
| | No | 280 (95.9) | 64 (95.5) | 127 (96.9) | 89 (94.7) | 0.048* |
| Yes | 12 (4.1) | 3 (4.5) | 4 (3.1) | 5 (5.3) | ||
| Animals at home | No | 168 (56.8) | 50 (74.6) | 70 (52.2) | 48 (50.5) | 0.004 |
| Yes | 128 (43.2) | 17 (25.4) | 64 (47.8) | 47 (49.5) | ||
| Consumes raw milk | No | 260 (88.1) | 64 (97.0) | 121 (90.3) | 75 (78.9) | 0.001 |
| Yes | 35 (11.9) | 2 (3.0) | 13 (9.7) | 20 (21.1) | ||
| Source of information about brucellosis | ||||||
| Mainbrucellosis information source | People | 104 (35.1) | 7 (10.5) | 31 (23.1) | 66 (69.5) | <0.001 |
| Government | 41 (13.9) | 8 (11.9) | 18 (13.4) | 15 (15.8) | ||
| Journals/books | 151 (51.0) | 52 (77.6) | 85 (63.4) | 14 (14.7) | ||
Descriptive data of veterinary experience in years and the frequency of potential exposure in one month during the study of comparative risks of brucellosis exposure to the veterinary personnel in the state of Punjab, India in 2015.
| Variable | Veterinarians ( | Para-veterinarians ( | Handlers ( | p-Value |
|---|---|---|---|---|
| Experience | ||||
| Median (IQR) (years) | 16 (8–20) | 20 (10−30) | 12 (8–20) | |
| Mean and range, (years) | 15.9(0–34) | 20.0 (1–38) | 16.3 (2–45) | 0.01 |
| Potential exposure situations (during the previous one month) | ||||
| Parturition cases handled | ||||
| Median (IQR) | 1 (0–3) | 3 (1–5) | 2 (0–4) | |
| Mean and range, number of cases | 2.15 (0−20) | 6.55 (0−100) | 3.83 (0–60) | <0.001 |
| Retained placenta removal | ||||
| Median (IQR) | 0 (0–2) | 4 (1–5) | 5 (0–5) | |
| Mean and rangenumber of cases | 1.54 (0–15) | 3.79 (0–50) | 2.92 (0−30) | <0.001 |
| Aborted foetus cases handled | ||||
| Median (IQR) | 0 (0–1) | 0 (0–2) | 0 (0–3) | |
| Mean and rangenumber of cases | 0.8 (0–20) | 1.9 (0–50) | 2.08 (0–40) | <0.001 |
| Stillbirth cases handled | ||||
| Median (IQR) | 0 (0–0) | 2 (0–4) | 0 (0–3) | |
| Mean and rangenumber of cases | 0.4 (0–20) | 3.04 (0–35) | 1.93 (0–20) | <0.001 |
| Infertility cases handled | ||||
| Median (IQR) | 9 (3–15) | 7 (4–14) | 1 (0–5) | |
| Mean and rangenumber of cases | 11.3 (0–72) | 9.82 (0–100) | 4.97 (0–100) | <0.001 |
| Artificial inseminations performed | ||||
| Median (IQR) | 30 (10–80) | 48 (20–90) | 5 (0–18) | |
| Mean and rangenumber of cases | 51.2 (0–250) | 59.9 (0–500) | 22.3 (0–140) | <0.001 |
Kruskal wallis test.
Test of association and multivariable logistic regression analyses of perceived likelihood of brucellosis exposure risk with respect to contact with various animal species during veterinary practice in the study on comparative exposure risk to brucellosis amongst veterinary personnel in Punjab, India during 2015.
| Number of participants | Likely (%) | Univariable analysis/ test of association | Multivariable analyses | Model adjustment | |||
|---|---|---|---|---|---|---|---|
| OR (95%CI) | P value | Adjusted OR | P value | ||||
| (95%CI) | |||||||
| 0.06 | 0.1 | Adjusted for gender | |||||
| Animal Handler | 88 | 31(35.2) | 0.5 (0.3–1.0) | 0.5 (0.3–0.9) | |||
| Para-veterinarians | 130 | 42(32.3) | 0.4(0.2–0.8) | 0.6(0.3–1.1) | |||
| Veterinarian | 62 | 32(51.6) | Ref | Ref | |||
| 0.001 | 0.008 | Adjusted for tehsil, location and age | |||||
| Animal Handler | 92 | 85 (92.4) | 0.6 (0.1–2.3) | 0.6 (0.1–3.3) | |||
| Para-veterinarians | 134 | 134 (100) | – | – | |||
| Veterinarian | 67 | 64 (95.5) | Ref | Ref | |||
| 0.09 | 0.2 | Adjusted for gender | |||||
| Animal Handler | 89 | 22 (24.7) | 0.5 (0.2–1.0) | 0.5 (0.3–1.1) | |||
| Para-veterinarians | 132 | 33 (25.0) | 0.5 (0.3–1.0) | 0.6 (0.3–1.1) | |||
| Veterinarian | 89 | 24 (39.3) | Ref | Ref | |||
| 0.09 | 0.15 | Adjusted for gender | |||||
| Animal Handler | 87 | 18 (20.7) | 0.5 (0.2–1.0) | 0.6 (0.3–1.2) | |||
| Para-veterinarians | 128 | 30 (23.4) | 0.5 (0.3–1.0) | 0.5 (0.2–1.1) | |||
| Veterinarian | 61 | 22 (36.1) | Ref | Ref | |||
| 0.006 | 0.004 | Adjusted for tehsil and age | |||||
| Animal Handler | 87 | 30 (34.5) | 0.4 (0.2–0.7) | 0.3 (0.2–0.7) | |||
| Para-veterinarians | 131 | 52 (39.7) | 0.4 (0.2–0.8) | 0.4 (0.2–0.8) | |||
| Veterinarian | 64 | 38 (59.4) | Ref | Ref | |||
The association was individually tested for each demographic predictor and only the factors that yielded p value of ≤ 0.25 were adjusted in the final model for association of the occupation with the response variable.
Test of association and multivariable logistic regression analyses of perceived likelihood of brucellosis exposure risk with respect to the various procedures encountered during the veterinary practice in the study on comparative exposure risk to brucellosis amongst veterinary personnel in Punjab, India during 2015.
| Number of participants | Likely n (%) | Univariable analysis/ test of association | Multivariable analyses | Model adjustment | |||
|---|---|---|---|---|---|---|---|
| OR (95%CI) | P value | Adjusted OR (95%CI) | P value | ||||
| Adjusted for age, gender and rurality | |||||||
| Animal Handler | 90 | 54(60.0) | 1.0 (0.5–1.9) | 0.5 | 1.0 (0.5–2.1) | 0.4 | |
| Para-veterinarians | 131 | 70(53.4) | 0.8 (0.4–1.4) | 0.7 (0.3–1.4) | |||
| Veterinarian | 65 | 39(60.0) | Ref | Ref | |||
| Adjusted for gender and tehsil | |||||||
| Animal Handler | 91 | 67 (73.6) | 0.9 (0.5–1.9) | 0.7 | 0.9 (0.3–1.7) | 0.7 | |
| Para-veterinarians | 134 | 93 (69.4) | 0.8 (0.4–1.5) | 0.7(0.3–1.5) | |||
| Veterinarian | 67 | 50 (74.6) | Ref | Ref | |||
| Animal Handler | 90 | 63 (70.0) | 2.3 (1.2–4.4) | 0.04 | 2.6 (1.3–5.2) | 0.02 | Adjusted for tehsil and rurality |
| Para-veterinarians | 134 | 78 (58.2) | 1.3 (0.7–2.4) | 1.5 (0.8–2.8) | |||
| Veterinarian | 67 | 34 (50.7) | Ref | Ref | |||
| Adjusted for age and experience | |||||||
| Animal Handler | 92 | 76 (82.6) | 0.8 (0.4–2.0) | 0.3 | 0.9 (0.4–2.3) | 0.5 | |
| Para-veterinarians | 133 | 119 (89.5) | 1.5 (0.6–3.6) | 1.5 (0.6–3.7) | |||
| Veterinarian | 66 | 56 (84.9) | Ref | Ref | |||
| Adjusted for gender, age and experience | |||||||
| Animal Handler | 91 | 77 (84.6) | 0.9 (0.3–2.1) | 0.3 | 0.9 (0.3–2.3) | 0.5 | |
| Para-veterinarians | 132 | 120 (90.9) | 1.6 (0.6–4.0) | 1.4 (0.5–4.1) | |||
| Veterinarian | 66 | 57(86.4) | Ref | Ref | |||
| Animal Handler | 91 | 71 (78.0) | 0.3 (0.1–0.8) | 0.008 | 0.3 (0.1–0.8) | 0.01 | Adjusted for gender and tehsil |
| Para-veterinarians | 134 | 122 (91.0) | 0.8 (0.3–2.5) | 0.7 (0.2–2.4) | |||
| Veterinarian | 66 | 61 (92.4) | Ref | Ref | |||
| Animal Handler | 87 | 32 (36.8) | 0.6 (0.3–1.2) | 0.2 | 0.7 (0.3–1.3) | 0.2 | Adjusted for age and rurality |
| Para-veterinarians | 131 | 46 (35.1) | 0.6 (0.3–1.1) | 0.6 (0.3–1.1) | |||
| Veterinarian | 65 | 31(47.7) | Ref | Ref | |||
| Animal Handler | 90 | 67 (74.4) | 0.5 (0.2–1.2) | 0.6 | 0.5 (0.2–1.2) | 0.4 | Adjusted for experience |
| Para-veterinarians | 134 | 117 (87.3) | 1.2 (0.5–2.8) | 1.5 (0.6–3.6) | |||
| Veterinarian | 90 | 57 (85.1) | Ref | Ref | |||
The association was individually tested for each demographic predictor and only the factors that yielded p value of ≤ 0.25 were adjusted in the final model for association of the occupation with the response variable.
Test of association and multivariable logistic regression analyses of knowledge and experience regarding human brucellosis infection and animal vaccination amongst veterinary personnel in Punjab, India during 2015.
| Number of participants | Likely n (%) | Univariable analysis/ test of association | Multivariable analyses | Model adjustment | |||
|---|---|---|---|---|---|---|---|
| OR (95%CI) | P value | Adjusted OR (95%CI) | P value | ||||
| Animal Handler | 93 | 38 (40.9) | 0.06 (0.02–0.15) | <0.001 | 0.05 (0.02–0.14) | <0.001 | Adjusted for tehsil and experience |
| Para-veterinarians | 130 | 117 (90.0) | 0.7 (0.2–2.1) | 0.6 (0.2–1.9) | |||
| Veterinarian | 67 | 62 (92.5) | Ref | Ref | |||
| Animal Handler | 93 | 20 (21.1) | 0.1 (0.07–0.3) | <0.001 | 0.1 (0.03–0.2) | <0.001 | Adjusted for age, gender and tehsil |
| Para-veterinarians | 130 | 75 (57.7) | 0.8 (0.4–1.4) | 0.5 (0.2–1.0) | |||
| Veterinarian | 67 | 43 (64.2) | Ref | Ref | |||
| Animal Handler | 94 | 69 (73.4) | 0.1 (0.04–0.4) | <0.001 | 0.07 (0.01–0.3) | <0.001 | Adjusted for gender |
| Para-veterinarians | 132 | 118 (89.4) | 0.4 (0.1–1.4) | 0.2 (0.04–0.9) | |||
| Veterinarian | 66 | 64 (95.5) | Ref | Ref | |||
| Animal Handler | 94 | 72 (76.6) | 0.1 (0.02–0.3) | <0.001 | 0.1 (0.02–0.3) | <0.001 | Adjusted for age and tehsil |
| Para-veterinarians | 132 | 128 (84.0) | Ref | Ref | |||
| Veterinarian | 66 | 66 (100.0) | – | – | |||
| Animal Handler | 95 | 38 (40) | 0.2 (0.1–0.4) | <0.001 | 0.2 (0.1–0.4) | <0.001 | Adjusted for tehsil |
| Para-veterinarians | 131 | 110 (84.0) | 1.6 (0.8–3.4) | 1.8 (0.9–3.9) | |||
| Veterinarian | 67 | 51 (76.1) | Ref | Ref | |||
The association was individually tested for each demographic predictor and only the factors that yielded p value of ≤ 0.25 were adjusted in the final model for association of the occupation with the response variable.
Test of association and multivariable binary logistic regression analyses of PPE perception and practices amongst veterinary personnel in Punjab, India during 2015.
| Number of participants | Likely (%) | Univariable analysis/ test of association | Multivariable analyses | Model adjustment | |||
|---|---|---|---|---|---|---|---|
| OR (95%CI) | P value | Adjusted OR (95%CI) | P value | ||||
| Enablers to PPE use | |||||||
| Animal Handler | 93 | 78(83.9) | 0.2 (0.1–0.4) | 0.03 | 0.2 (0.1–0.4) | <0.001 | Adjusted fortehsil and experience |
| Para-veterinarians | 133 | 123 (92.5) | 1.6 (0.8–3.4) | 1.9 (0.9–4.2) | |||
| Veterinarian | 67 | 64 (95.5) | Ref | Ref | |||
| Animal Handler | 90 | 19(21.1) | 0.4 (0.2–0.8) | 0.02 | 0.4 (0.2–0.8) | 0.03 | Adjusted for age,tehsil, experience |
| Para-veterinarians | 133 | 48 (36.1) | 0.8 (0.5–1.6) | 0.7 (0.4–1.4) | and rurality | ||
| Veterinarian | 65 | 26 (40.0) | Ref | Ref | |||
| Animal Handler | 91 | 60(90.9) | 0.2 (0.1–0.5) | <0.001 | 0.1 (0.05–0.4) | <0.001 | Adjusted for age, tehsil, and rurality |
| Para-veterinarians | 133 | 97 (72.9) | 0.3 (0.1–0.7) | 0.2 (0.1–0.6) | |||
| Veterinarian | 66 | 60 (65.9) | Ref | Ref | |||
| Animal Handler | 91 | 62(68.1) | 0.5 (0.2–1.1) | 0.12 | 0.5 (0.2–1.1) | 0.09 | Adjusted for age, tehsil, experience |
| Para-veterinarians | 133 | 90 (67.7) | 0.5 (0.2–1.0) | 0.4 (0.2–0.9) | and rurality# | ||
| Veterinarian | 67 | 54 (80.6) | Ref | Ref | |||
| Barriers to PPE use | |||||||
| Animal Handler | 90 | 16(17.8)) | 0.2 (0.1–0.5) | <0.001 | 0.3 (0.1–0.5) | <0.001 | Adjusted for age and rurality |
| Para-veterinarians | 132 | 25 (18.9) | 0.2 (0.1–0.5) | 0.3 (0.1–0.6) | |||
| Veterinarian | 64 | 32 (48.5) | Ref | Ref | |||
| Animal Handler | 90 | 36(40.0) | 0.4 (0.2–0.8) | 0.009 | 0.4 (0.2–0.8) | 0.02 | Adjusted for gender and tehsil |
| Para-veterinarians | 134 | 55 (41.0) | 0.4 (0.2–0.8) | 0.4 (0.2–0.8) | |||
| Veterinarian | 66 | 41 (62.1) | Ref | Ref | |||
| Animal Handler | 90 | 24(26.7) | 0.5 (0.3–1.0) | 0.06 | 0.5 (0.2–0.9) | 0.03 | Adjusted for gender and tehsil |
| Para-veterinarians | 133 | 33 (24.8) | 0.5 (0.2–0.9) | 0.4(0.2–0.8) | |||
| Veterinarian | 66 | 27 (40.9) | Ref | Ref | |||
| Animal Handler | 89 | 27(30.3) | 0.7 (0.4–1.5) | 0.12 | 0.7 (0.3–1.3) | 0.24 | Adjusted for tehsil |
| Para-veterinarians | 131 | 36 (27.5) | 0.6 (0.3–1.2) | 0.6 (0.3–1.1) | |||
| Veterinarian | 75 | 24 (36.9) | Ref | Ref | |||
| Animal Handler | 89 | 19 (21.3) | 0.8 (0.4–1.7) | 0.8 | |||
| Para-veterinarians | 132 | 33 (25.0) | 1.0 (0.5–1.9) | ||||
| Veterinarian | 66 | 17 (25.8) | Ref | ||||
The association was individually tested for each demographic predictor and only the factors that yielded p value of ≤ 0.25 were adjusted in the final model for association of the occupation with the response variable.
Negative binomial univariable and multivariable regression analyses for incident rates on exposure to high-risk situations based on the level of PPE use by the veterinary personnel in Punjab, India 2015.
| Variable | Number | Mean (SD) | Estimate | IRR | P value | Estimate | Adjusted IRR | P value |
|---|---|---|---|---|---|---|---|---|
| Univariable model | Multivariable model | |||||||
| Occupation | ||||||||
| | −0.4 (0.2) | <0.001 | −1.5 (0.5) | <0.001 | ||||
| Animal Handler | 95 | 0.05 (0.4) | −2.5 (0.3) | 0.08 (0.02–0.2) | −2.3 (0.5) | 0.1 (0.03–0.3) | ||
| Para-veterinarians | 134 | 0.5 (0.9) | −0.4 (0.5) | 0.7 (0.4–1.2) | −0.2 (0.3) | 0.8 (0.4–1.5) | ||
| Veterinarian | 67 | 0.7 (1.1) | – | Ref | – | Ref | ||
| PPE use encouraged by the ability to perform efficiently | ||||||||
| | −2.1 (0.4) | |||||||
| Low | 73 | 0.1 (0.4) | Ref | 0.001 | Ref | 0.004 | ||
| High | 217 | 1.0 (0.9) | 1.4 (0.4) | 3.9 (1.8–9.4) | 1.2 (0.4) | 3.2 (1.4–7.6) | ||
| Information source | ||||||||
| | −2.1 (0.3) | |||||||
| People | 41 | 0.5 (0.9) | Ref | 0.006 | ||||
| Government | 151 | 0.5 (0.9) | 1.3 (0.5) | 3.6 (1.4–9.5) | ||||
| Journals/books | 104 | 0.1 (0.5) | 1.3 (0.4) | 4.3 (2.1–9.0) | ||||
| Age | ||||||||
| | −0.6 (0.4) | 0.14 | ||||||
| 20–30 | 38 | 0.6 (1.0) | Ref | |||||
| 31–40 | 103 | 0.3 (0.7) | −0.7 (0.4) | 0.5 (0.3–1.1) | ||||
| 41–50 | 59 | 0.3 (0.7) | −0.7 (0.5) | 0.5 (0.2–1.3) | ||||
| 50+ | 96 | 0.5 (0.9) | −0.1 (0.4) | 0.9 (0.4–2.1) | ||||
| PPE use encouraged by zoonotic risk | ||||||||
| | −2.6 (0.8) | 0.03 | ||||||
| Low | 28 | 0.1 (0.3) | ||||||
| High | 265 | 0.4 (0.9) | 1.8 (0.8) | 5.9 (1.4–39.7) | ||||
| Performed AI last month | 0.09 | |||||||
| | −1.4 (0.3) | |||||||
| No | 74 | 0.2 (0.7) | Ref | |||||
| Yes | 222 | 0.4 (0.9) | 0.6 (0.4) | 1.8 (0.9–3.8) | ||||
| PPE use encouraged by past experience | ||||||||
| | −1.1 (0.2) | 0.1 | ||||||
| Low | 195 | 0.3 (0.7) | Ref | |||||
| High | 93 | 0.5 (1.0) | 0.5 (0.3) | 1.6 (0.9–3.0) | ||||
| Brucellosis tested | ||||||||
| | −1.2 (0.2) | 0.1 | ||||||
| No | 154 | 0.3 (0.8) | Ref | |||||
| Yes | 138 | 0.5 (0.9) | 0.5 (0.3) | 1.6 (0.9–2.9) | ||||
| PPE use discouraged by time constraints | 0.1 | |||||||
| | −1.1 (0.2) | |||||||
| Low | 215 | 0.3 (0.8) | Ref | |||||
| High | 73 | 0.5 (1.0) | 0.5 (0.3) | 1.6 (0.8–3.0) | ||||
| PPE use encouraged by keeping the clothes clean | ||||||||
| | −1.2 (0.3) | 0.2 | ||||||
| Low | 85 | 0.3 (0.7) | Ref | |||||
| High | 206 | 0.4 (0.9) | 0.4 (0.3) | 1.5 (0.8–2.8) | ||||
| Attended infertility cases in last month | ||||||||
| | −1.2 (0.3) | 0.13 | ||||||
| No | 80 | 0.2 (0.7) | Ref | |||||
| Yes | 216 | 0.4 (0.9) | 0.5 | 1.7 (0.8–3.4) | ||||
IRR = Incidence rate ratio.
Adjusted for ‘PPE use encouraged by the ability to perform efficiently’.