Back to Journals » Veterinary Medicine: Research and Reports » Volume 14

Antibiotic Use, Awareness of Antimicrobial Resistance and Residue in Veterinary Professionals and Farmers in Selected Districts of Kellem Wollega Zone, Ethiopia

Authors Ragassa S , Berhanu G 

Received 24 June 2023

Accepted for publication 20 September 2023

Published 26 September 2023 Volume 2023:14 Pages 159—175

DOI https://doi.org/10.2147/VMRR.S423141

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Young Lyoo



Sagni Ragassa, Gemechu Berhanu

Department of Veterinary Medicine, Dambi Dollo University, Dambi Dollo, Oromia, Ethiopia

Correspondence: Sagni Ragassa, Dambi Dollo University, Dambi Dollo, Ethiopia, Email [email protected]

Background: Antimicrobials have a crucial role in reducing mortality and morbidity in animals, but misuse of them may cause antimicrobial resistance and residues which are challenging in animal production and public health. These problems are mostly aggravated in developing countries including Ethiopia.
Objective: Assessment of antibiotic use, awareness of antimicrobial resistance and antimicrobial residue in veterinary professionals and farmers.
Methods: A cross-sectional study was conducted from September 2021 to August 2022 in three districts (Seyo, Hawa Gelan, and Dale Sadi) of the Kellem Wollega zone, selected by purposive sampling. The study population was farmers and veterinary professionals. Data was collected from a total of 312 respondents; 230 farmers and 82 veterinary professionals using interviews and questionnaires, respectively.
Results: Out of 312 total respondents, 230 (73.71%) were farmers and 82 (26.28%) were veterinary professionals. From the farmer respondents, 127 (55.22%), 153 (66.52%), and 142 (61.74%) had an awareness of antibiotics and their usage, antimicrobial resistance, and withdrawal period, respectively. Out of 82 veterinary professional respondents, 92.68% practice dose calculation during animal treatment, 79.27% diagnose systemic infections by tentative diagnosis, 85.37% have no laboratory facility for bacterial disease, and 81.71% give broad-spectrum antibiotics for undifferentiated cases. The income type of respondents looks to have a strong association (P < 0.05) with awareness of antibiotics (OR: 3.427, SE: 1.404, CI: 1.535– 7.654), antimicrobial resistance (OR: 3.536, SE: 1.339, CI: 1.683– 7.430) and withdrawal periods (OR: 3.297, SE: 1.267, CI: 1.552– 7.004).
Conclusion: This study shows most farmers have awareness about antibiotics and their use, antimicrobial resistance, and residue but inappropriate use of antimicrobials in farmers and lack of laboratory facilities in most veterinary professionals observed.

Keywords: antibiotic, antimicrobial, resistance, residue, Kellem Wollega, Ethiopia

Introduction

Although medicines have had an extraordinarily positive effect on health, leading to reduced mortality and disease burden, there is plenty of evidence of missed potential because of the way medicines are used.1 The right medicine does not always reach the right patient, and approximately 50% of all patients fail to take their medicine correctly and misuse of antimicrobials causes the emergence of antimicrobial resistance.1,2 In the absence of the development of new generations of antibiotic drugs, proper use of existing antibiotics is needed to ensure the long-term availability of effective treatments for bacterial infections.3

The misuse of antimicrobials in developing countries such as Ethiopia is maintained by their over-the-counter availability, lack of prescription, and unregulated supply chains.4 Noncompliance with the use of antimicrobials has many consequences for resistance, and poverty is a major root factor of antimicrobial misuse in developing countries.5 These actions result in the exposure of surviving pathogens to subtherapeutic concentrations of antimicrobials, thereby increasing the chances of acquiring resistance. Livestock owners’ treatment of their animals is a common practice in developing countries, where they receive antimicrobials without prescription and through unregulated supply chains which may result in antimicrobial resistance (AMR).6,7

The threat of AMR is growing at an alarming rate, and the situation is perhaps aggravated in developing countries owing to the gross abuse of antimicrobials.4,8 It is well known that the use of antimicrobials, however appropriate and justified, contributes to the development of resistance, but widespread, unnecessary, and excessive use worsens the situation.9 When present in animal feedstuff, antibiotic residues can have negative implications for animal production and public health, including the transmission of carcinogenic compounds and the selection of antibiotic-resistant bacteria.10–12 The residues of veterinary drugs or their metabolites in meat and other foods of animal origin may cause adverse toxic effects on consumer’s health.13 Different researchers have suggested that AMR is associated with human-animal contact, high levels of antibiotic use in small production systems, lack of withdrawal for human consumption of meat and milk products from recently treated animals, and frequent or less prudent antimicrobial use.14

In Ethiopia, regulations on antimicrobial use in livestock are poorly enforced, as in many developing countries, and farmers have easy access to veterinary drugs.15 This issue in public health and veterinary medicine requires worldwide action. To solve this problem, understanding antibiotic use, management, the supply chain in human and veterinary medicine, and withdrawal periods for food animals is very important. Furthermore, understanding the epidemiology of AMR is key to developing effective strategies to reduce its emergence and spread. The absence of a prevention strategy that may rely on this problem may contribute to the maintenance of zoonotic bacteria and AMR in a complex environment; thus, conducting such research is timely and very important in Ethiopia to safeguard the public and livestock. The objective of this study was to assess antibiotic use and awareness of antimicrobial resistance and antimicrobial residue or withdrawal periods among veterinary professionals and farmers in selected districts of the Kellem Wollega Zone.

Methods

Study Area

This study was conducted in three districts (Seyo, Hawa Gelan, and Dale Sadi) of Kellem Wollega zone, Western Ethiopia. The map of the study districts is indicated in Figure 1. Seyo woreda is located at an altitude range of 1100–2300 m above sea level. It has suitable topography for agricultural activities and Dega, Weinadega, and Kola are classified at 27%, 43%, and 30%, respectively. The annual rainfall varies from 600 to 1500 mL. The temperature varies from 10°C to 28°C. The woreda consists of 26 rural kebeles and four urban kebeles. According to the basic data report, there are 68,835 cattle, 48,930 sheep, 46,065 goats, 3415 horses, 3520 donkeys, 825 mules, and 398,120 poultry in the woreda. There are 23,539 farmers (livestock owners) and 55 veterinary professionals in the woreda.16

Figure 1 Map of the study area.

Hawa Gelan is one of the districts of the Kellem Wollega Zone, with 32 kebeles (two urban and 30 rural). Hawa Gelan is bordered to the south and southwest by Sayo, to the north by Yemalogi Well, to the northeast by Dale Wabera, and the south and southeast by Illubabor Zone. Hawa Gelan district is classified as highland and lowland, covering approximately 32% and 68% of the total area of the district, respectively. The annual rainfall varies from 800 to 1200 mL. The altitude and temperature of the woreda range from 1600 to 2200 m above sea level and 24–30°C, respectively. The livestock population in Hawa Gelan district is estimated to be 83,737 cattle, 39,628 sheep, 24,623 goats, 1147 horses, 8925 donkeys, 1440 mules, and 155,144 poultry. There are 29,082 farmers (livestock owners) and 49 veterinary professionals in the woreda.17

The Dale Sedi District is located in western Ethiopia in the Oromia region, 550 km from the capital city of the country to the west. Dale Sedi is one of the districts in the Kellem Wollega Zone. The capital of the Dale Sedi District is Haro Sabu. It is bordered to the south by the Illubabor Zone, west by Dale Wabera, north by the West Wollega Zone, and east by Lalo Kile. The mean annual rainfall ranges from 1000 to 1200 mL and the mean temperature is 23°C. The livestock population in the Dale Sedi district is estimated to be 128,500 cattle, 43,100 sheep, 20,100 goats, 210 horses, 450 mules, 4150 donkeys, and 142,820 poultry. There are 13,139 farmers (livestock owners) and 45 veterinary professionals in the woreda, respectively.18

Study Design and Study Population

This cross-sectional study was conducted from September 2021 to August 2022 in selected districts of the Kellem Wollega Zone. The study population included farmers and veterinary professionals, such as veterinary clinicians, animal health experts, drug vendors, and meat inspectors in abattoirs found in the study area, who were used to assess how they use antibiotics, their awareness of AMR, and antimicrobial residues.

Sampling Technique and Sample Size

Before starting the survey, discussions were held with zonal and district animal health professionals and representative farmers in the study area about the objective of the study and the need for their participation in the success of the study. Subsequently, a rapid single-stage field observation was conducted by the researchers and the respective district’s animal health professionals in each of the study areas to establish a sampling frame from which representative kebeles were sampled. Based on the outcomes of the rapid field survey, two kebeles were selected from each district using a purposive sampling technique based on the relative availability of veterinary clinics, abattoirs, and drug vendors; easy accessibility of information; and farmers’ willingness to participate in the study. The respondents were then randomly selected for sampling questionnaire-based interviews with the selected representative kebeles. The sample size to collect data for this study was determined by using,19 with a maximum variability or margin of error of 6%. The sample size was calculated using the following equation.

where n is the sample size the research uses, N is the total number of the study population, e is the maximum variability or margin of error, and 1 is the probability of the event occurring.

Based on the above formula, the total sample size of the study was computed from 65,909 farmers and veterinary professionals, to be 277, using a 6% maximum variability or margin of error. However, by increasing the sample size by 10% a total of 312 respondents, 230 farmers, and 82 veterinary professionals were included in this study.

Data Collection Tools

Data were collected through questionnaires and questionnaire-based interviews from veterinary clinics, drug vendors, and abattoirs in the study area to complement the antibiotic usage in veterinary clinics and the treatment history of slaughtered and other food animals. For this study, a mixed approach combining qualitative and quantitative interviews was used. The questionnaire was developed by the researchers and translated into Afan Oromo. Then, it was administered to randomly selected farmers and veterinary professionals by a team of data collectors recruited and trained for this purpose, with close supervision and participation of the researchers. Veterinary drug shops, veterinary clinics, and abattoirs in all districts of the study area were visited, and data was collected on antimicrobial sources, sales, usage and all its management aspects, awareness of AMR, drug residue, and withdrawal period in food animals.

Reliability and Validity of Data

For reliability and validity of data used for the study, the questionnaire developed by the researchers was reviewed by researchers, other experts, and the research committee of Dambi Dollo University. Data collectors were well-trained on how to collect relevant information. The questionnaire was also pre-tested after being collected from a few respondents before fully administered, and some re-arrangement, reframing, and corrections were made.

Data Management and Analysis

Data obtained from the questionnaire survey and interviews were entered into a Microsoft Excel spreadsheet and coded. All statistical analyses were performed using STATA 14 (StataCorp, College Station, TX, USA). Descriptive statistics were computed for all variables, and the results were presented as percentages (%) of each variable. The chi-squared test was used to determine the level of significance, and the p-value was set at 0.05 to determine the significance level. The logistic regression analysis model was used to demonstrate the association between the demography of farmer respondents and awareness of antibiotic use and AMR and residue.

Result

Demographic Characteristics of Farmer Respondents

A total of 312 respondents participated in this study; 230 (73.71%) were farmers and 82 (26.28%) were veterinary professionals. From a total of 230 farmers, 90 (39.13%) were from Hawa Gelan, 75 (32.61%) were from Seyo, and 65 (28.26%) were from Dale Sedi districts. From all respondents, 185 (80.43%) were male, 137 (59.57%) were aged 31–45 years, 60 (26.09%) were 46–60 years, 26 (11.30%) were 15–30 years, and seven (3.04%) were above 60 years. Regarding the level of education, 124 (53.91%) of the respondents had attended up to grade 8, 32.61% attended grades 9–12, 10.87% attended college and above, 1.74% had no formal education, and 0.87% attended adult education. The income type of the respondents was, 87.83% from both land cultivation and animal rearing, 10.43% just from land cultivation, and 1.74% from animal rearing (Table 1).

Table 1 Socio-Economic Demography of Farmer Respondents

Antibiotic Usage in Farmer Respondents

From total farmer respondents, 55.22% had awareness about antibiotics, and 44.78% did not. The most commonly known antibiotics in the study area were oxytetracycline and penicillin. Most (approximately 53.48%) of the respondents in the study area used antibiotics for diseased animals. Some of the respondents used antibiotics for diseased animals, for prevention in healthy animals, and also for fattening in general (24.35%). More than half of the respondents (58.26%) had taken their animals to veterinary clinics, 30.43% to veterinary clinics or purchased antibiotics from drug vendors, and approximately 7.83% had taken their animals to veterinary clinics or treated them in traditional ways. In total, 59.13% of the respondents obtained antibiotics from both government and private veterinary clinics, followed by 32.17% from government veterinary clinics alone. When they bought antibiotics in their homes, most (67.83%) of the respondents used veterinary professionals to inject their animals as 14.35% injected animals themselves, and 10.43% of them used both methods (Table 2).

Table 2 Antibiotic Usage in Farmer Respondents

Awareness of Farmer Respondents on Antimicrobial Resistance

Based on the awareness assessment of the respondents on AMR, 153 (66.52%) of them had awareness about AMR and 77 (33.48%) of them did not. Among those who asked what AMR meant, 132 said animals treated but not cured, and 21 said adaptation of animal disease to drug. When they asked for factors responsible for AMR, 33.04% had no answer, followed by underdose of the drug (29.13%), insufficient treatment (16.65%), over/under dose of the drug (8.07%), inappropriate drug, delayed treatment, treatment without a prescription, drug–disease mismatch, or no drug change. Based on an assessment of the consequences of inappropriate antimicrobials, about 51.30% of them responded that drug resistance would develop and the animal would not be cured; 40.87% said that the animal would not be cured. When asked about the problems of underdose treatment, 55.22% responded that drug resistance would develop and the animal would not be cured, 26.96% said the animal would not be cured, and 16.09% answered that drug resistance would develop (Table 3).

Table 3 Awareness of Farmer Respondents on Antimicrobial Resistance

Awareness of Farmer Respondents on Drug Residue

Based on an assessment of the awareness of farmer participants on drug residue, 38.26% had no awareness about the drug withdrawal period, whereas 61.74% of them had. From respondents who had awareness of the withdrawal period, 92 described it as not using animal products after treatment for an amount of permitted day, 29 described it as not lactating animals after treatment for days, and some answered that the drug remained in the body or giving rest to animals after they were treated. Of the total respondents, 178 (77.39%) answered that they employed withdrawal periods in treated animals and 52 (22.61%) of them did not employ withdrawal periods in treated animals. When asked about the potential problems if withdrawal periods were not adhered to properly, 91.30% of them answered that it causes disease in consumers (humans), 5.22% of them answered that it had no problem, and 3.48% did not know the problem. When the respondents were asked about the challenges of maintaining withdrawal periods, 25.22% said that the priority given to benefit from animal products than the effect it poses, 23.04% said both benefit left from animals and priority given to benefit from animal products than the effect it poses, 13.48% had lack of knowledge of the effect, and some of them answered as no challenge, carelessness, or did not know of any problem (Table 4).

Table 4 Awareness of Farmer Respondents on Drug Residue

Socio-Economic Demography of Veterinary Professional Respondents

A total of 82 veterinary professional respondents participated in this study and 37 were from Hawa Gelan, 29 from Seyo, and 16 from Dale Sedi. Of the professional respondents, 73 were male, 52 were aged 31–45 years, 21 were younger than 30 years, and nine were 46–60 years. From an educational perspective, 48 of the respondents had a diploma, 33 had a degree, and one had a master’s degree. The responsibilities of the respondents at their work were: clinic workers (69.51%), office workers (29.27%), and meat inspectors at abattoirs (1.22%) (Table 5).

Table 5 Socio-Economic Demography of Veterinary Professional Respondents

Antibiotic Usage in Veterinary Professional Respondents

Most veterinary professionals (92.68%) practiced dose calculation during animal treatment and used body weight estimation (62.20%), as prescribed on the leaflet (28.05%), or by the recommended dose. Regarding the diagnosis of systemic infections, 79.27% of them were diagnosed by tentative diagnosis, 14.63% by laboratory, and 6.1% of them by treatment response. Among the veterinarian respondents, 85.37% of them have no laboratory facility for bacterial disease, and 14.63% of them have. For undifferentiated cases, 81.71% of them were administered broad-spectrum antibiotics, and 18.29% of them were administered antibiotics for gram-negative and gram-positive bacterial infections, at the same time. About 41.46% of professional respondents obtained veterinary antibiotics from both government and private suppliers and 39.02% from government suppliers alone (Table 6).

Table 6 Antibiotic Usage in Veterinary Professional Respondents

Actions on AMR and Drug Residue by Veterinarian Respondents

Among the veterinary professional respondents who were asked whether they treat animals underdose/overdose or not, 87.80% of them responded that they have not treated animals under dose or overdose. When asked for evidence of not treating animals under dose or overdose, 42.68% of them stated that it was because overdose treatment would affect animals and under dose would be ineffective, 24.39% were due they were professionals, 17.07% of them, said under dose causes resistance and overdose affects the animal, and 12.20% of them gave overdose sometimes for aggressive cases. Approximately 98.78% of the respondents had given an awareness of the unprofessional use of antimicrobials for farmers. All respondents answered that they told the animal owners to maintain the withdrawal periods. About 85.37% of respondents would consider the treatment history of animals to be slaughtered at abattoirs if they were meat inspectors. Among the professional respondents who participated in this study, 65.85% of them sold veterinary drugs only to licensed veterinarians, 30.49% sold to any animal owner, and 3.66% sold it to any person who could resale the drug in the village (Table 7).

Table 7 Actions on AMR and Drug Residue by Veterinarian Respondents

Association of Awareness About Antibiotics, AMR, and Withdrawal Periods with Demography of Farmer Respondents

The results showed a statistically significant relationship (P < 0.05) of districts, kebele, and income type with awareness of antibiotics, however educational level, age, sex, or job duration did not. Based on districts, high awareness about antibiotics was recorded in Hawa Gelan (75.5%) and lowest in Seyo (22.6%) with OR: 1.385; 95% CI: [1.003–1.913]. From kebeles, the highest awareness was noted in Machara (90%) and lowest in Dambi Dollo 03 (12%) with OR: 1.262; 95% CI: [1.071–1.486]. Farmers with income type of both land cultivation and animal rearing also had the highest awareness about antibiotics (60.5%) with OR: 3.427; 95% CI: [1.535–7.654] (Table 8).

Table 8 Logistic Regression Analysis on Association of Awareness on Antibiotics, AMR, and Withdrawal Periods with Demography of Farmer Respondents

This study also showed a significant association (P < 0.05) between educational level (OR: 1.429; 95% CI: [1.025–1.993]), income type (OR: 3.536; 95% CI: [1.683–7.430]), and job duration (OR: 2.637; 95% CI: [1.404–4.953]) with awareness of AMR but age, sex, district, and kebele did not. Significant relationship (P < 0.05) between awareness about withdrawal periods and educational level (OR: 1.494; 95% CI: [1.072–2.082]), district (OR: 0.624; 95% CI: [0.445–0.877]), income type (OR: 3.297; 95% CI: [1.552–7.004]), and job duration (OR: 4.076; 95% CI: [2.136–7.777]) (Table 8).

Discussion

Antibiotics and antimicrobials are used in livestock production worldwide.20 They are used in livestock farming mostly for purposes such as therapeutics (treating sick animals), metaphylaxis (control treatment of whole herds in case of disease outbreak), prophylaxis (preventive treatment), and growth promotion.21 However inappropriate use of these drugs has a serious effect on animals, the economy, public health, and the environment.22,23

In the current study, more than half of the respondents had an awareness of the common antibiotics oxytetracycline and penicillin. This was consistent with the studies conducted by,24,25 which indicated the most commonly used class of antibiotics was Tetracyclines and Penicillins in pastoral production systems in the Amhara and Oromia regions of Ethiopia and Mymensingh Division of Bangladesh, respectively. In this study, most of the respondents in the study area used antibiotics for diseased animals, although some of them used antibiotics for prevention in healthy animals and fattening or growth promotion. According to,15 the majority of respondents (96.7%) gave antibiotics to treat their livestock from different sources in the Amhara region, northwestern Ethiopia. However, as stated in,24 the use of antimicrobials for prophylactic purposes is common.

In this study, most of the respondents took their animals to veterinary clinics, some of them either took them to veterinary clinics or purchased antibiotics from drug vendors, and a very small number of owners treated their animals in traditional ways. Most of the respondents (59.13%) received antibiotics from both government and private veterinary clinics, followed by 32.17% of them from government veterinary clinics alone. This finding was almost in line with that of,24 which stated that the main source of veterinary drugs for livestock owners in both highland and lowland mixed crop-livestock systems was the government or official veterinarian, whereas pastoralists most commonly accessed drugs from private suppliers. However,15 stated that most respondents bought antibiotics from private pharmacies without a prescription; some of them were provided by clinical veterinary services, and others used antibiotics previously stored in their houses in northwestern Ethiopia.

This study showed that most (67.83%) of the respondents used veterinary professionals to inject their animals; some injected by themselves and others used either of them if they bought antibiotics at home. According to,26 approximately half of the respondents stated that they used antibiotics before they contacted the veterinarian when their animals became ill in eastern Turkey, which is in line with our findings. This result indicates that inappropriate and unprofessional use of antibiotics may lead to AMR and residue formation which have a great effect on animals and also the consumer.

Based on the awareness of farmer respondents on AMR and responsible factors, 66.52% of them had awareness about AMR from which 29.13% of them responded as under dose injection of drugs; 16.65% of them said insufficient treatment (over/under dose injection) and 8.07% of them thought inappropriate drug as factors for AMR. The left respondents thought of delayed treatment, treatment without a prescription, and drug–disease mismatch as responsible factors for AMR. According to,26 approximately 17% of the respondents stated that they had information about the importance of AMR, and 72% of them stated that inappropriate use of antibiotics caused the development of resistance in eastern Turkey. The respondents also have the development of drug resistance and animals unable to cure as problems with inappropriate antimicrobials and under-dose treatment. According to a study conducted by,15 poor awareness of AMR, lack of rapid and effective diagnostic techniques, sub-standard quality of antibiotics, and use of antimicrobials for animal growth promotion were the most important factors that contribute to the increase of AMR. This result showed that there is a gap in the awareness of society on AMR which needs serious attention from the concerned bodies for awareness creation.

From the respondents, 61.74% have an awareness about a withdrawal period from which most (40%) of them described it as not using animal products after treatment for an amount of unpermitted days and the remaining respondents said it was not lactating animals after treatment for an amount of day, and the time that drug remained in an animal’s body after treatment. According to a study conducted by25 in Bangladesh, approximately 63.7% of farmers have heard about antibiotic residues, and more than half of them described antibiotic residues as an accumulation of antibiotics in the human body through the ingestion of meat and milk during antibiotic treatment or accumulation of antibiotics in the animal body. Based on this result the awareness of farmer respondents on the withdrawal period was not sufficient and the issue is a serious public health problem. It is obvious that not keeping the withdrawal period in food animals may lead to the consumption of the drug residue found in animal products.

From the total respondents, 77.39% answered that they kept to withdrawal periods in treated animals, and when asked about the problems of not keeping to withdrawal period, 91.3% of them answered that it causes diseases in consumers (Humans). In contrast, in a study conducted by25 in Bangladesh, only 25.5% of the farmers followed a withdrawal period after the use of antibiotics, and approximately 68.9% of the total population reported that they consumed or sold animal products and slaughtered animals during antimicrobial treatment. According to,27 failure to observe the withdrawal periods, extra-label dosages for animals, the use of unlicensed antibiotics, and incorrect route of administration may result in residue formation.

Most (92.68%) of the veterinary professionals in this study practiced dose calculation during animal treatment and used the estimation of body weight method, as prescribed on the leaflet and diagnosed systemic infection by tentative diagnosis. A lack of laboratory facilities for bacterial diseases was found in the responses of most respondents, and most of them used broad-spectrum antibiotics in undifferentiated cases. According to Von Boeckel et al,2 the misuse of antimicrobials in food animals can potentially cause the emergence of antimicrobial-resistant bacterial strains by increasing the selection pressure on bacteria to become resistant. Therefore, inappropriate use of antimicrobials and the treatment of animals with broad-spectrum antibiotics in undifferentiated cases may contribute to the development of resistant microbes in both animals and consumers.

Almost all the veterinary professionals who participated in this study responded that they had not treated animals with an overdose or under dose, although some of them treated animals with overdose for aggressive cases. Almost all veterinary professional respondents were aware of the unprofessional use of antimicrobials and to keep to withdrawal periods for farmers and consider the treatment history of animals to be slaughtered at abattoirs. More than half of the professional respondents who participated in this study sold veterinary drugs only to licensed veterinarians, but some sold them to any animal owner or to any person who could resell the drug in the village. According to Bedada et al,28 misuse of drugs is common among various sectors, including veterinary and public health, in Ethiopia, and there is a lack of preparedness among the controlling authorities and producers in dealing with the risk of indiscriminate use of antibiotics to livestock and consumers. Therefore, even if in a minute number, giving animals an overdose or under dose, selling drugs to unprofessional persons or to any person who resells drugs in the village may contribute to the resistance to antimicrobials and the effect of drug residue on both animals and consumers.

In this study districts, kebele, and income type of farmer respondents showed a significant relationship with awareness of antibiotics. Educational level, income type, and job duration also showed a significant relationship with awareness of AMR, as well as educational level, district, income type, and job duration, showed a significant relationship with withdrawal periods. The study done by26 in Turkey also indicated high level of education involved in the livestock sector increased the perception and awareness of AMR. This difference may probably be from linkage with animal ownership, the length of period they experienced in rearing animals, and the knowledge level of respondents because high awareness was observed in respondents with both land cultivation and animal rearing or only animal rearing as an income generation, those having more than 10 years experience in their job as well as having a formal education.

Conclusion

The current study showed more than half of the farmers in this study had an awareness of antibiotics and their usage, and almost all had used antibiotics for different purposes. The majority of the farmers also had an awareness of antimicrobial resistance and its causes, such as under-dose, insufficient treatment, inappropriate drugs, or treatment without a prescription. About half of the farmers were aware of drug residues and maintained the withdrawal period after animals were treated, as they considered it could cause diseases in the consumers (humans). Priority was given to benefit over effect, lack of knowledge of the effect, and carelessness were challenges for maintaining withdrawal periods in treated animals. Most veterinary professionals in this study practiced dose calculation during animal treatment by estimating body weight, tentatively diagnosing diseases, and treating animals with broad-spectrum antibiotics. Most professional respondents did not treat animals with under-dose or overdose and considered the treatment history of animals slaughtered at abattoirs. Generally, the current study revealed that animals were administered under doses, and treatment by unprofessional, and broad-spectrum antibiotics, which may contribute to resistance to antimicrobials.

Abbreviations

AMR, antimicrobial resistance; CI, confidence interval; DSWAO, Dale Sedi Woreda Agricultural Office; FAO, Food and Agricultural Organization; HGWAO, Hawa Gelan Woreda Agricultural Office; OR, odd ratio; SE, standard error; SWAO, Seyo Woreda Agricultural Office; WHO, World Health Organization.

Data Sharing Statement

The data and materials used in this study are available from the corresponding author and can be shared upon reasonable request.

Ethics Approval and Consent to Participate

Before starting the research Dambi Dollo University Institutional Review Committee has seen the proposal and approved by minute reference number DaDUIRC/022/21 as the study has no ethical or moral problem on the respondents. Written consent was prepared but due possibility of farmers being unable to read it, it was applied verbally. The procedure was approved by the Dambi Dollo University Institutional Review Committee. The respondents agreed with the purpose of the study as it was so clear and important.

Acknowledgments

The authors would like to thank Dambi Dollo University for financial support and the veterinary professionals, farmers, and individuals who contributed to this study.

Author Contributions

All authors made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; agreed to submit to the current journal; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.

Funding

This research was funded by Dambi Dollo University as part of a research grant by providing researchers and data collectors per diem but not directly involved in the study design, data collection, analysis, interpretation, and writing of the report of this work.

Disclosure

All authors declare no competing interests in this work.

References

1. World Health Organization. The Pursuit of Responsible Use of Medicines: Sharing and Learning from Country Experiences. World Health Organization; 2012: 1–78.

2. Van Boeckel TP, Brower C, Gilbert M, et al. Global trends in antimicrobial use in food animals. Proc Natl Acad Sci U S A. 2015;112(18):5649–5654. doi:10.1073/pnas.1503141112

3. Albrich WC, Monnet DL, Harbarth S. Antibiotic selection pressure and resistance in streptococcus pneumoniae and streptococcus pyogenes. Emerg Infect Dis. 2004;10(3):514–517. doi:10.3201/eid1003.030252

4. Davies J, Davies D. Origins and evolution of antibiotic resistance. Microbiol Mol Biol Rev. 1996;73(3):417–433. doi:10.1128/mmbr.00016-10

5. Silbergeld EK, Graham J, Price LB. Industrial food animal production, antimicrobial resistance, and human health. Annu Rev Public Health. 2008;(29):151–169. doi:10.1146/annurev.publhealth.29.020907.090904

6. Alhaji NB, Isola TO. Antimicrobial usage by pastoralists in food animals in North-central Nigeria: the associated socio-cultural drivers for antimicrobials misuse and public health implications. One Heal. 2018;6:41–47. doi:10.1016/j.onehlt.2018.11.001

7. Eltayb A, Barakat S, Marrone G, Shaddad S, Stålsby Lundborg C. Antibiotic Use and resistance in animal farming: a quantitative and qualitative study on knowledge and practices among farmers in Khartoum, Sudan. Zoonoses Public Health. 2012;59(5):330–338. doi:10.1111/j.1863-2378.2012.01458.x

8. Muhie OA. Antibiotic use and resistance pattern in Ethiopia: systematic review and meta-analysis. Int J Microbiol. 2019;(2489063):1–8. doi:10.1155/2019/2489063

9. Levy SB, Bonnie M. Antibacterial resistance worldwide: causes, challenges and responses. Nat Med. 2004;10(12S):S122–S129. doi:10.1038/nm1145

10. Leiva A, Méndez G, Rodríguez C, Molina A, Granados-Chinchilla F. Chemical assessment of mycotoxin contaminants and veterinary residues in Costa Rican animal feed. Int J Food Contam. 2019;6(1):1–26. doi:10.1186/s40550-019-0075-8

11. World Health Organization. Global Report on Surveillance; 2014:1–8. Available from: http://www.who.int/drugresistance/documents/AMR_report_Web_slide_set.pdf. Accessed September 20, 2023.

12. CDC. Centre for disease control and prevention. Antibiotic resistance threats in the United States, 2013. Pp:1–114. URL : https://stacks.cdc.gov/view/cdc/20705. Accessed September 20, 2023.

13. European Food Safety Authority. Opinion of the scientific panel on contaminants in the food chain on a request from the European Commission related to hormone residues in bovine meat and meat products. EFSA J. 2007;510:1–62.

14. Omulo S, Thumbi SM, Njenga MK, Call DR. A review of 40 years of enteric antimicrobial resistance research in Eastern Africa: what can be done better?. Antimicrob Resist Infect Control. 2015;4(1):1–13. doi:10.1186/s13756-014-0041-4

15. Geta K, Kibret M. Knowledge, attitudes and practices of animal farm owners/workers on antibiotic use and resistance in Amhara region, northwestern Ethiopia. Sci Rep. 2021;11(1):1–13. doi:10.1038/s41598-021-00617-8

16. Sayo Woreda Agricultural Office. The Woreda’s basic data report; 2021.

17. Hawa Gelan Woreda Agricultural Office. The woreda’s basic data report; 2021.

18. Dale Sedi Woreda Agricultural Office. The Woreda’s basic data report; 2021.

19. Yamane T. Statistics, An introductory analysis. A Harper Int Ed. 1967;1967:476.

20. Cully M. The politics of antibiotics. Nature. 2014;509:S16–S17. doi:10.1038/509S16a

21. Economou V, Gousia P. Agriculture and food animals as a source of antimicrobial-resistant bacteria. Infect Drug Resist. 2015;8:49–61. doi:10.2147/IDR.S55778

22. Caudell MA, Dorado-Garcia A, Eckford S, et al. Towards a bottom-up understanding of antimicrobial use and resistance on the farm: a knowledge, attitudes, and practices survey across livestock systems in five African countries. PLoS One. 2020;15(1):1–26. doi:10.1371/journal.pone.0220274

23. Khurana A, Sinha R, Laboratory MN, et al. Antibiotic resistance in poultry environment: spread of resistance from poultry farm to agricultural field. Centre Sci Enviro. 2017;3:1–36.

24. Gemeda BA, Amenu K, Magnusson U, et al. Antimicrobial use in extensive smallholder livestock farming systems in Ethiopia: knowledge, attitudes, and practices of livestock keepers. Front Vet Sci. 2020;7(7):1–15. doi:10.3389/fvets.2020.00055

25. Hossain MT, Rafiq K, Islam MZ, et al. A survey on knowledge, attitude, and practices of large-animal farmers towards antimicrobial use, resistance, and residues in Mymensingh division of Bangladesh. Antibiotics. 2022;11(4):442. doi:10.3390/antibiotics11040442

26. Yasin O, Senol C, Emre S, Mehmet NA. Assessment of farmers’ knowledge, attitudes and practices on antibiotics and antimicrobial resistance. Animals. 2019;9:1–12.

27. Kurwijila LR, Omore A, Staal S, Mdoe NSY. Investigation of the risk of exposure to antimicrobial residues present in marketed milk in Tanzania. J Food Prot. 2006;69(10):2487–2492. doi:10.4315/0362-028X-69.10.2487

28. Bedada AH, Zewde BM, Zewde BM. Tetracycline residue levels in slaughtered beef cattle from three slaughterhouses in central Ethiopia. The Ohio State university department of veterinary preventive medicine. Glob Vet. 2012;8(6):546–554.

Creative Commons License © 2023 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.