| Literature DB >> 35784225 |
Garima Sharma1,2, Florence Mutua2, Ram Pratim Deka2,3, Rajeshwari Shome4, Samiran Bandyopadhyay5, Bibek Ranjan Shome4, Naresh Goyal Kumar6, Delia Grace2,7, Tushar Kumar Dey1,2,4, Johanna Lindahl1,2,3.
Abstract
Background: Antimicrobial resistance (AMR) is a global public health threat. The indiscriminate use of antibiotics in the animal health sector contributes to increasing rates of AMR and studies involving dairy farmers in India have found knowledge levels regarding antibiotics and AMR to be very low. The purpose of this study was to assess different methods to raise awareness and knowledge about AMR and antibiotic use among dairy farmers, paravets (veterinary assistants), and veterinarians. Materials andEntities:
Keywords: animal health; antibiotic use; antimicrobial resistance; dairy farmers; intervention; one health; veterinarians
Mesh:
Substances:
Year: 2022 PMID: 35784225 PMCID: PMC9244170 DOI: 10.3389/fpubh.2022.837594
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Indian map highlighting the states where the study was conducted.
Figure 2Explains various intervention approaches.
Showing the sociodemographic factors of the dairy farmers across various study sites.
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| Females | 12 (14.8%) | 10 (12.2%) | 15 (20%) | 14 (35%) | 51 (18.61%) |
| Males | 69 (85.2%) | 68 (87.2%) | 60 (80%) | 26 (65%) | 223 (81.38%) |
| Small-scale dairy | |||||
| farmers* | 74 (91.4%) | 33 (42.3%) | 75 (100%) | 40 (95%) | 222 (81.02%) |
| Large-scale dairy farmers* | 7 (8.6%) | 43 (55.1%) | 0 (0%) | 2 (5%) | 52 (18.97%) |
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| No education | 45 (55.6%) | 33 (42.3%) | 18 (24%) | 13(32.5%) | 109 (39.78%) |
| Till 10th standard | 28 (34.6%) | 23 (29.5%) | 37 (49.3%) | 14 (35 %) | 102 (37.22%) |
| Senior secondary (12th | |||||
| standard) | 3 (3.7%) | 9 (11.54%) | 15 (20%) | 6 (15%) | 33 (12%) |
| Graduate/diploma holder | 5 (6.2%) | 13 (16.7%) | 5 (6.7%) | 7 (17.5%) | 30 (10.94%) |
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| 20–40 yrs. | 24 (29.6%) | 26 (33.3%) | 15 (20%) | 9 (22.5%) | 74(27%) |
| 41–60 yrs. | 47 (58%) | 44 (56.4%) | 44 (58.7%) | 25 (62.5%) | 160(58.39%) |
| Above 60 yrs. | 10 (12.4%) | 8 (10.3%) | 16 (21.3%) | 6 (15%) | 40(14.59%) |
*Small-scale dairy farm was defined as <10 milking cows/buffaloes, while large-scale had more than or equal to 10.
Total number of dairy farmers participating in different intervention approaches in various study sites.
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| Conventional AMR | 22 (27.2%) | 20 (25.6%) | 18 (24%) | 11 (27.5%) |
| Animal health | 20 (24.7%) | 20 (25.6%) | 22 (29.3%) | 10 (25%) |
| Animal health and simplified conventional AMR | 20 (24.7%) | 20 (25.6%) | 18 (24%) | 9 (22.5%) |
| Just discussions | 19 (23.5%) | 18 (23.1%) | 17 (22.7%) | 10 (25%) |
Figure 3Intervention wise classification of the topics remembered by the dairy farmers from FGDs conducted in the intervention part (⋆ highlights the approaches with a significant difference from the others).
Intervention wise classification of topics remembered by farmers on aspects on management of diseased animals.
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| Conventional AMR | 1 (1.4%) | 1 (1.4%) |
| Animal health | 0 | 4 (5.6%*) |
| Animal health and simplified conventional AMR | 3 (4.5%) | 6 (9%*) |
| Just discussions | 4 (6.3%) | 0 |
*The approaches with an asterisk were significantly different from the others.
Figure 4Total percentage of the dairy farmers responding to the knowledge variables related to antibiotics and AMR.
Shows the intervention wise classification of responses to knowledge questions on antibiotics and AMR.
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| Antibiotics are for treating bacterial infections | 179/272 (65.8%) | 42 (60%) | 42 (58.3%) | 47 (71.2%) | 48 (75%) | 0.10 |
| Antibiotics help animals grow better | 62/272 (22.8%) | 21 (30%) | 10 (13.9)% | 18 (27.3%) | 13 (20.3%) | 0.09 |
| Antibiotics prevent the animals from getting sick | 120/272 (44.1%) | 27 (38.6%) | 35 (48.6%) | 31 (46.1%) | 27 (22.5%) | 0.28 |
| Antibiotics are given to treat diseases | 238/273 (87.2%) | 65 (92.9%) | 59 (81.9%) | 59 (88.1%) | 55 (85.9%) | 0.27 |
| Antibiotics are given to increase the productivity in dairy animals | 55/273 (20.1%) | 16 (22.9%) | 12 (16.7%) | 17 (25.4%) | 10 (15.6%) | 0.42 |
| Antibiotics are given to stop the diseases from happening | 141/273 (51.6%) | 43 (61.4%) | 31 (43.1%) | 32 (47.8%) | 35 (54.7%) | 0.14 |
| Some antibiotic residues can get into the milk | 147/274 (53.6%) | 35 (49.3%) | 41 (56.9%) | 38 (56.7%) | 33 (51.6%) | 0.62 |
| The germs infecting the animal can become resistant | 170/273 (62.3%) | 41 (57.7%) | 46 (64.8%) | 41 (61.2%) | 42 (65.6%) | 0.90 |
| Resistant bacteria can develop in the animal, and transfer to the human | 123/273 (45%) | 35 (49.3%) | 33 (46.5%) | 32 (47.8%) | 23 (35.9%) | 0.55 |
Figure 5Intervention wise classification of the knowledge variables on preventive measures to take to avoid infections related to zoonotic diseases (⋆ highlights the approaches with significant difference).
Intervention wise classification of the dairy farmers on various knowledge indicators related to zoonotic diseases.
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| Aware of diseases people get from sick animals | 33 (47.1%) | 35 (48.6%) | 35 (52.2%) | 25 (39.1%) | |
| Mode of transmission | Contact | 35 (50%) | 23 (31.9%) | 34 (50.7%) | 27 (42.1) % |
| Inhalation | 35 (50%) | 28 (38.9%) | 31 (46.3%) | 30 (46.8%) | |
| Ingestion | 22 (31.4%) | 27 (37.5%) | 24 (35.8%) | 21 (32.8%) | |
| Contact with animal products | 40 (57.1%) | 44 (61%) | 40 (59.7%) | 28 (43.7%) | |
Shows the number of farmers agreeing to different statements, based on the training they had received.
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| 1. It is always advisable to call a veterinarian so that the animal receives proper treatment | 231 (84.3%) | 57 (80.3%) | 61(84.7%) | 57(85.1%) | 56(87.5%) | 0.23 |
| 2. The veterinarian delivers the best advice | 241 (88.3%) | 61 (85.9%) | 59 (81.9%) | 61 (91%) | 60 (95.2%) | 0.09 |
| 3. Antibiotics should not be used in excess as this can lead to significant difficulties in the future | 191 (69.7%) | 51 (71.8%) | 50 (69.4%) | 44 (65.7%) | 46 (71.9%) | 0.78 |
| 4. Can't throw away the milk when the animal is on treatment. It's not that harmful to consume it Anyway | 95 (34.7%) | 17 (23.9%) | 25 (34.7%) | 28 (41.8%) | 25 (39.1%) | 0.56 |
Multivariable regression results with participation in FGDs, Intervention approach and gender.
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| Yes | Reference | |||
| No | −1.73 | 0.41 | <0.001 | −2.55, −0.90 |
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| Just discussions | Reference | |||
| Conventional AMR | 0.96 | 0.55 | 0.08 | −0.13, 2.06 |
| Animal health | 1.17 | 0.55 | 0.03 | 0.06, 2.27 |
| Animal health and simplified conventional AMR | 1.47 | 0.58 | 0.01 | 0.33, 2.62 |
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| Male | Reference | |||
| Female | 1.08 | 0.51 | 0.03 | 0.07, 2.10 |
| _cons | 7.24 | 0.44 | 0.00 | 6.36, 8.12 |
*Change in knowledge score.
Distribution of sociodemographic factors of the veterinarians in each state.
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| Veterinarians | 7 (43.8%) | 4 (50%) | 8 (47.1%) | 2 (20%) |
| Paravets | 9 (56.3%) | 4 (50%) | 9 (52.9%) | 8 (80%) |
| Male | 16 (100%) | 8 (100%) | 16 (94.1%) | 6 (60%) |
| Female | 0 | 0 | 1 (5.9%) | 4 (40%) |
| 20–40 yrs. | 9 (56.3%) | 1 (12.5%) | 5 (29.4%) | 6 (60%) |
| 41–60 yrs. | 4 (25%) | 7 (87.5%) | 12 (70.6%) | 4 (40%) |
| Above 60 yrs. | 3 (18.8%) | 0 | 0 | 0 |
Number of veterinary professionals participating in different intervention approaches in various study sites.
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| Conventional AMR | 4 (25%) | 3 (37.5%) | 4 (23.5%) | 3 (30%) |
| Animal health | 4 (25%) | 1 (12.5%) | 5 (29.4%) | 3 (30%) |
| Animal health and simplified conventional AMR | 4 (25%) | 2 (25%) | 4 (23.5%) | 2 (20%) |
| Just discussions | 4 (25%) | 2 (25%) | 4 (23.5%) | 2 (20%) |
Shows the intervention wise classification of perspective of veterinarians related to AMR.
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| (1) AMR: Antibiotics stop working due to overuse | 34 (66.7%) | 7 (50%) | 10 (76.9%) | 9 (75%) | 8 (66.7%) | 0.43 |
| (2) AMR: Antibiotics stop working because the course is not completed | 8 (15.7%) | 4 (28.6%) | 1 (7.7%) | 1 (8.3%) | 2 (16.7%) | 0.41 |
| (3) AMR: Low generation antibiotics stop working due to use of high generation antibiotics | 3 (5.9%) | 2 (14.3%) | 1 (7.7%) | 0 | 0 | 0.33 |
| (4) AMR: Antibiotics stop working because the pathogen gets modified | 4 (7.8%) | 1 (7.1%) | 1 (7.7%) | 1 (8.3%) | 1 (8.3%) | 0.99 |
| (5) Worried about you or someone in the family may get an infection with a resistant bacteria | 39 (76.5%) | 12 (85.7%) | 10 (76.9%) | 7 (58.3%) | 10 (83.3%) | 0.36 |
| (6) Think that they are exposed to resistant bacteria when they visit a | 15 (29.4%) | 4 (28.6%) | 5 (38.5%) | 2 (16.7%) | 4 (33.3%) | 0.35 |
| (7) Think it is very likely that they are exposed to resistant bacteria when you visit a hospital because | 14 (27.5%) | 5 (35.7%) | 3 (23.1%) | 4 (33.3%) | 2 (16.7%) | 0.75 |
| (8) Main challenge in tackling AMR: lack of awareness | 14 (27.5%) | 3 (21.4%) | 2 (15.3%) | 5 (41.7%) | 4 (33.3%) | 0.45 |
| (9) Main challenge in tackling | 11 (21.6%) | 2 (14.3%) | 3 (23.1%) | 1 (8.3%) | 5 (41.7%) | 0.20 |
| (10) Main challenge in tackling AMR: quacks giving | 8 (15.7%) | 3 (21.4%) | 3 (23.1%) | 1 (8.3%) | 1 (8.3%) | 0.60 |
| (11) Main challenge in tackling AMR: Incomplete course | 7 (13.7%) | 2 (14.3%) | 1 (7.7%) | 1 (8.3%) | 3 (25%) | 0.57 |