| Literature DB >> 34707158 |
Kindu Geta1, Mulugeta Kibret2.
Abstract
Inappropriate use of antibiotics in animal and human plays a role in the emergence and spread of bacteria resistant to antibiotics which threatens human health significantly. Although extensive use of these antibiotics could contribute to the development of drug resistance, information on the knowledge, attitude and practice of antimicrobial resistance and use among animal farm owners/workers in north western Ethiopia is rare. The objective of the present study was to assess knowledge, attitude and practice of animal farm owner/workers towards antibiotic resistance and use in Amhara regional state north western Ethiopia. A cross sectional study was conducted in selected cities of Amhara regional state from January to February, 2020. Data was collected from 91 participants using structured questionnaire and analyzed using SPSSS version 23. The results showed that 96.7% of respondents gave antibiotics to treat their livestock from different sources. Most of the respondents bought their antibiotics from private pharmacies without prescription and the most frequently mentioned antibiotics used to treat animal diseases was tetracycline (76.9%), followed by ampicillin (72.5%). Although, 90.1% of the animal farm owners heard about antibiotics and antibiotic resistance from different sources, they did not know the factors contributing to the transmission of resistant bacteria to humans and the impact of antibiotic resistance on human and animals' health. Using the mean score 4.44 ± 0.15 as the cut-off, half of the animal farm owners/workers had good knowledge about antimicrobial resistance and use. 52.5% of animal farm owners/workers had positive attitudes towards wise antibiotic use and resistance with a mean score of 28.4 ± 0.5. However, 52.75% participants had poor practice with the mean score of practice 4.95 ± 0.17. Better knowledge, positive attitudes and better practices on antibiotic use and resistance were associated with farm owners/workers who engaged in higher education. Although poor awareness on antimicrobial resistance was perceived by 76.9% of respondents as very important factors that contribute to increasing antibiotic resistance, increasing the use of complementary treatments was perceived by the majority of respondents as very important strategies that contribute to reduce antibiotic use and resistance. The current study disclosed that there is low level of awareness among animal farm owners about the correct use of antibiotics and resistance. It is necessary to raise awareness, develop and implement interventions to reduce antimicrobial use and antibiotic resistance in the study area.Entities:
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Year: 2021 PMID: 34707158 PMCID: PMC8551280 DOI: 10.1038/s41598-021-00617-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Map of the study area. ArcGIS software version 10.5, https://njuclrd.weebly.com/arcgis-105-crack-free-download.html.
Demographic characteristics of animal farm owners/workers (N = 91).
| Variables | Categories | N | % |
|---|---|---|---|
| Sex | Male | 79 | 86.8 |
| Female | 12 | 13.2 | |
| Age | 18–30 | 24 | 26.4 |
| 31–45 | 38 | 41.8 | |
| 46–55 | 18 | 19.8 | |
| 56–65 | 11 | 12.1 | |
| Marital status | Single | 27 | 29.7 |
| Married | 56 | 61.5 | |
| Divorce | 8 | 8.8 | |
| Level of education | Uneducated | 6 | 6.6 |
| Primary | 19 | 20.9 | |
| Secondary | 28 | 30.8 | |
| Diploma | 16 | 17.6 | |
| Technique | 1 | 1.1 | |
| University | 21 | 23.1 | |
| Religion | Orthodox | 86 | 94.5 |
| Protestant | 5 | 5.5 | |
| Type of farm | Poultry | 26 | 28.6 |
| Dairy | 54 | 59.3 | |
| Beef | 11 | 12.1 | |
| Stakeholder | Owner | 74 | 81.3 |
| Son | 2 | 2.2 | |
| Worker | 15 | 16.5 | |
| No of animals | 1–100 | 79 | 86.8 |
| 101–200 | 1 | 1.1 | |
| 201–300 | 3 | 3.3 | |
| 301–400 | 1 | 1.1 | |
| 500 + | 7 | 7.7 |
Antibiotic use for animals in north western Ethiopia by animal farm owners/workers (N = 91).
| Questions | Responses | N | % |
|---|---|---|---|
| Have you given antibiotics for your animals? | Yes | 88 | 96.7 |
| No | 3 | 3.3 | |
| Where did you obtain the antibiotics that you gave for your animals? | From veterinarian prescription | 17 | 18.7 |
| Without prescription from private pharmacy | 66 | 72.5 | |
| Left over from a previous course | 5 | 5.5 | |
| None | 3 | 3.3 | |
| Why you used antibiotics for your animal without prescription? | Minimize cost | 28 | 30.8 |
| Previous experiences | 31 | 34 | |
| Quick relief | 10 | 11 | |
| Lack of time | 22 | 24.2 | |
| How many times have you give antibiotics for your animals per a month? | Never | 3 | 3.3 |
| Once | 4 | 4.4 | |
| 2–5 times | 66 | 72.5 | |
| More than 5 times | 18 | 19.8 |
Figure 2Common antibiotics used by animal farm owners/workers.
Figure 3Sources of information on ABR and use.
Figure 4Impacts of antibiotic resistance.
Figure 5Mode of transmission of resistant bacteria to humans.
Knowledge of animal farm owners/workers towards antimicrobial resistances and use in Amhara regional state, North Western Ethiopia (N = 91).
| Knowledge related items | Correct | Incorrect |
|---|---|---|
| Antibiotics can be used in animals for weight gain | 51 (56) | 40 (44) |
| Antibiotics can be used for all types of diseases in animals | 54 (59.3) | 37 (40.7) |
| All commercial antibiotics show the same curative effect in animal diseases | 50 (54.9) | 41 (45.1) |
| Improper use of antibiotics in animal farm can cause AMR | 39 (42.9) | 52 (57.1) |
| Antibiotics are not harmful for beneficial bacteria living in the body | 53 (58.2) | 38 (41.8) |
| All antibiotics I used can cure animals | 54 (59.3) | 37 (40.7) |
| Antibiotics have side effects | 52 (57.1) | 39 (42.9) |
| Bacteria can become resistant against antibiotics | 51 (56) | 40 (44) |
Relation between participants’ characteristics and mean scores of knowledges, attitude and practices on antibiotic resistance and use.
| Demographic variables | Categories | Knowledge score | Attitude score | Practice score | |||
|---|---|---|---|---|---|---|---|
| Mean ± SD | P-value | Mean ± SD | P-value | Mean ± SD | P-value | ||
| Sex | Male | 4.5 ± 1.4 | 0.615 | 28.9 ± 4.6 | 0.02 | 5.4 ± 2.4 | 0.054 |
| Female | 4.3 ± 1.4 | 25.4 ± 5.3 | 3.9 ± 2.4 | ||||
| Age | 15–30 | 4.1 ± 1.3 | 0.225 | 27.3 ± 5.1 | 0.029 | 4.4 ± 2.5 | < 0.0001 |
| 31–45 | 4.4 ± 1.5 | 27.5 ± 4.6 | 4.7 ± 2.3 | ||||
| 46–55 | 4.4 ± 1.3 | 30.2 ± 4.5 | 5.7 ± 1.9 | ||||
| 56–65 | 5.2 ± 1.2 | 31.2 ± 4.1 | 7.8 ± 1.5 | ||||
| Marital status | Single | 4.3 ± 1.4 | 0.328 | 27.8 ± 5.2 | 0.049 | 4.7 ± 2.5 | 0.024 |
| Married | 4.4 ± 1.4 | 28.2 ± 4.6 | 5.1 ± 2.4 | ||||
| Divorce | 5.1 ± 1.0 | 32.4 ± 4.8 | 7.4 ± 2.5 | ||||
| Level of education | Uneducated | 3.0 ± 0.6 | 0.001 | 22.8 ± 2.2 | < 0.0001 | 4.5 ± 2.3 | < 0.0001 |
| Primary | 3.7 ± 1.5 | 27.2 ± 4.3 | 4.6 ± 2.3 | ||||
| Secondary | 4.5 ± 1.0 | 26.5 ± 4.2 | 4.1 ± 2.0 | ||||
| Diploma | 4.8 ± 1.6 | 30.0 ± 4.7 | 5.1 ± 2.8 | ||||
| Technique | 6.0 | 35.0 | 9 | ||||
| University | 5.1 ± 1.2 | 32.2 ± 3.4 | 7.3 ± 1.3 | ||||
| Religion | Orthodox | 4.5 ± 1.4 | 0.086 | 28.5 ± 4.8 | 0.337 | 5.1 ± 2.5 | 0.449 |
| Protestant | 3.4 ± 1.1 | 26.4 ± 5.4 | 6 ± 1.9 | ||||
| Type of farm | Poultry | 4.85 ± 1.3 | 0.046 | 28.7 ± 4.6 | 0.254 | 5.3 ± 2.5 | 0.250 |
| Dairy | 4.4 ± 1.5 | 28.7 ± 5.0 | 5.3 ± 2.3 | ||||
| Beef | 3.6 ± 0.9 | 25.9 ± 4.2 | 3.9 ± 2.7 | ||||
| Stakeholder | Owner | 4.6 ± 1.4 | 0.220 | 28.7 ± 4.8 | 0.461 | 5.4 ± 2.4 | 0.156 |
| Son | 4.5 ± 2.1 | 25.5 ± 2.1 | 3.0 ± 1.4 | ||||
| Worker | 3.7 ± 1.2 | 27.5 ± 5.1 | 4.4 ± 2.6 | ||||
| No of animals | 1–100 | 4.6 ± 1.4 | 0.841 | 28.5 ± 4.9 | 0.678 | 5.2 ± 2.4 | 0.437 |
| 101–200 | 5.0 | 35 | 7 | ||||
| 201–300 | 5.0 ± 0.0 | 26.7 ± 1.5 | 2.7 ± 1.5 | ||||
| 301–400 | 4.0 | 29 | 5 | ||||
| 500 + | 4.0 ± 1.2 | 27.9 ± 5.7 | 5.4 ± 3.2 | ||||
Multiple linear regression analyses for predicting score of knowledge, attitude and practice.
| Variables | Factors | t | Sig. | 95.0% Confidence Interval for | ||
|---|---|---|---|---|---|---|
| Lower bound | Upper bound | |||||
| Knowledge | Constant | 3.725 | 8.349 | < 0.0001 | 2.838 | 4.613 |
| Education | 0.352 | 4.014 | < 0.0001 | 0.178 | 0.527 | |
| Attitude | Constant | 21.815 | 15.674 | < 0.0001 | 19.046 | 24.583 |
| Age | 1.887 | 2.735 | 0.008 | 0.515 | 3.260 | |
| Education | 1.615 | 5.897 | < 0.0001 | 1.070 | 2.159 | |
| Practice | Constant | 1.755 | 2.513 | 0.014 | 0.366 | 3.143 |
| Age | 1.439 | 4.157 | < 0.0001 | 0.750 | 2.127 | |
| Education | 0.655 | 4.771 | < 0.0001 | 0.382 | 0.928 | |
Attitude of animal farm owners/workers towards antimicrobial resistances and use in Amhara regional state, North Western Ethiopia (N = 91).
| Attitude related items | Agree | Neutral | Disagree |
|---|---|---|---|
| Antibiotic resistance in animals is not important for public health | 59 (64.8) | 14 (15.4) | 18 (19.8) |
| There is relationship between antibiotic use in animals and development of resistance | 33 (36.3) | 19 (20.8) | 39 (42.9) |
| The use of antibiotics in livestock causes the emergence of resistant bacteria which cause diseases in humans | 35 (38.4) | 16 (17.6) | 40 (44) |
| Restriction of antibiotic use in animals will lead more benefit than damage | 37 (40.7) | 9 (9.9) | 45 (49.4) |
| Use of antibiotic in animals does affect myself or my family indirectly | 47 (51.6) | 10 (11) | 34 (37.4) |
| AMD residues and drug resistance will occur when AM are not used prudently | 47 (51.6) | 16 (17.6) | 28 (30.8) |
| Antimicrobial usage for protection against diseases on farms is the most important | 66 (72.5) | 8 (8.8) | 17 (18.7) |
| Usage of the same AMD for long period of time can lead to AMR | 56 (61.5) | 9 (9.9) | 26 (28.6) |
| Usage of AMD for non-therapeutic reasons lead to AMR | 49 (53.8) | 18 (19.8) | 24 (26.4) |
| Purchasing of AMD from a drug company or cooperative with a legal permit is safe | 64 (70.3) | 9 (9.9) | 18 (19.8) |
| The most important reason for choosing AMD on my farm is its effectiveness | 23 (25.3) | 9 (9.9) | 59 (64.8) |
| Sale and distribution of AMD shall only be done by persons permitted to do so by law | 49 (53.8) | 20 (22) | 22 (24.2) |
| Drug withdrawal periods should be adhered to as per the prescription to avoid drug residues in meat or animal products | 51 (56) | 15 (16.5) | 25 (27.5) |
Practice of animal farm owners/workers towards antimicrobial resistances and use in Amhara regional state, North Western Ethiopia (N = 91).
| Practice related items | Correct | Incorrect N (%) |
|---|---|---|
| When animals get sick, I use my antibiotics before consulting a veterinarian | 55 (60.4) | 36 (39.6) |
| I do not consult a veterinarian to ask whether I need to use antibiotics or not | 58 (52.7) | 43 (47.3) |
| I do not read the prospectus before using antibiotics | 43 (47.3) | 48 (52.7) |
| I increase the dose of antibiotics and frequency of administration as long as animals do not show any signs of recovery | 49 (53.8) | 42 (46.2) |
| If animals feel better after the first day of treatment, I stop giving the antibiotics | 45 (49.5) | 46 (50.5) |
| I consider the recommendations of other farmers about antibiotic use | 43 (47.3) | 48 (52.7) |
| Even if I knew unconscious antibiotic use will be give any harm to public health, I would continue to use antibiotics in animals | 55 (60.4) | 36 (39.6) |
| I am ready to go for laboratory test before choosing antimicrobial drugs for use of my animals | 39 (42.9) | 52 (57.1) |
| Farmers adhere to specified drug withdrawal periods before sending animals to the slaughterhouse | 44 (48.4) | 47 (51.6) |
| Farmers don’t sell animal products which have been treated with antimicrobial drugs | 51 (56) | 40 (44) |
Correlation between KAP.
| Variables | Knowledge | Attitude | Practice | N |
|---|---|---|---|---|
| Pearson correlation | 1 | 0.365** | 0.307** | 91 |
| Sig. (2-tailed) | < 0.0001 | 0.003 | ||
| Pearson correlation | 0.365** | 1 | 0.455** | 91 |
| Sig. (2-tailed) | < 0.0001 | < 0.0001 | ||
| Pearson correlation | 0.307** | 0.455** | 1 | 91 |
| Sig. (2-tailed) | 0.003 | < 0.0001 | ||
**Correlation is significant at the 0.01 level (2-tailed).
Figure 6Factors that contribute to increase antibiotic resistance.
Figure 7Interventions that contribute to reduce antibiotic use and resistance.