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ORIGINAL RESEARCH article

Front. Vet. Sci., 21 January 2026

Sec. One Health

Volume 12 - 2025 | https://doi.org/10.3389/fvets.2025.1754010

This article is part of the Research TopicIntegrating Health: a One Health Approach to Antimicrobial Resistance and Sustainable PracticesView all 14 articles

Veterinarians' attitudes, knowledge, and practices about antibiotic use in animals: questionnaire design and reliability

  • 1Department of Veterinary Sciences, School of Agrarian and Veterinary Sciences (ECAV), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
  • 2Veterinary Teaching Hospital, University of Trás-os-Montes and Alto Douro (HVUTAD), Vila Real, Portugal
  • 3Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
  • 4BRIDGES - Biotechnology Research, Innovation and Design for Health Products, Polytechnic University of Guarda, Guarda, Portugal
  • 5Department of Preventive Medicine and Public Health, Faculty of Pharmacy, University of Santiago de Compostela, Santiago de Compostela, Spain
  • 6Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Carlos III Health Institute, Madrid, Spain
  • 7Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
  • 8Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Faculty of Veterinary Medicine, University of Lisboa, Lisboa, Portugal
  • 9Department of Veterinary Sciences, Animal and Veterinary Research Centre (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
  • 10Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal

Introduction: Antimicrobial resistance (AMR) is a global public health concern that requires a One Health approach. The role of veterinarians in promoting antimicrobial stewardship is essential for successful mitigation of AMR.

Objective: This study aimed to design a self-administered questionnaire and evaluate its reliability as a tool to assess veterinarians' knowledge, perceptions, and attitudes regarding AMR and antibiotic prescription and use in animals.

Methods: The questionnaire was developed based on a comprehensive review of relevant literature and by employing collective intelligence methodologies, including focus groups with veterinarians and pharmacists. For the pilot study, veterinarians working in the Northern region of Portugal were recruited. A test-retest was conducted with a 4-week interval. Reproducibility was determined with the intraclass correlation coefficient (ICC; 95% confidence interval) and internal consistency was calculated using Cronbach's alpha.

Results: In total, 31 (out of 34) veterinarians completed the retest phase of the study. Four sections with scale-items were assessed for reliability, with ICC values ranging from 0.10 (p = 0.285) in Section 2 (AMR) to 0.85 (p < 0.001) in Section 4 (prescription and antibiotic use). The questionnaire achieved Cronbach's alpha coefficient values of 0.81 and 0.78 in test and retest, respectively. Based on ICC values and veterinarians' comments, some items were deleted or reformulated.

Conclusion: The developed questionnaire is a reliable instrument capable of capturing veterinarians' knowledge, perceptions, and attitudes on AMR and antibiotic use.

1 Introduction

Worldwide, antimicrobial resistance (AMR) is recognized as a major public health threat, negatively impacting societies, healthcare systems, and economies, and hindering the effective treatment of infections (1). In humans, forecasts between 2022 and 2050 predict a global rise of 69.6% in deaths caused by AMR and of 67.0% AMR-associated deaths (2). Some major adverse consequences of AMR include poorer health outcomes, prolonged disability of surviving patients (3), increased risk of post-surgical procedure complications (3), and higher treatment expenses (4). In animals, welfare and therapeutic outcomes can also be impaired and, in food-producing animals, productivity may be reduced and economic gains may be compromised (57).

Drug-resistant pathogens can be transmitted at the human-animal interface and this is particularly impactful when the therapeutic effectiveness of critically important antibiotics is compromised (8). Although resistance to antibiotics is a phenomenon that occurs naturally, the selective proliferation of bacteria with inherent or acquired resistance is promoted when these drugs are used in the context of human and veterinary medicine, and agriculture practices (911), being aggravated by the inappropriate use of antibiotics (12). Evidence from European health agencies indicates that reduction in antibiotic consumption correlates with decreased rates of AMR (13). In 2021, Portugal consumption of antimicrobial medicines in humans and food-producing animals was of 101.8 and 149.9 mg/kg estimated biomass, respectively, compared to EU/EEA mean values of 125.0 and 92.6 mg/kg estimated biomass (13).

A consensus has emerged recognizing that effective control of AMR emergence and dissemination requires multisectoral collaborative actions that integrate expertise from human, animal, and environmental health sectors—the One Health approach (1418). In the One Health context, veterinarians are key players in promoting good production practices (e.g., hygiene, biosecurity, and vaccination), ensuring responsible antibiotic prescription, and increasing awareness among farmers (19). Research demonstrates that the misuse of antibiotics is often associated with prescriber-related factors, including knowledge, practices, and attitudes, as well as extrinsic and farmer/owner-related factors (20, 21).

In order for the One Health strategy to have a global impact and effectively tackle AMR, it has first to be employed at the national and regional levels, creating a ripple effect (22). In Portugal, only a few studies addressing veterinarians' prescription practices of antibiotics have been conducted, with either companion animals, exotic species, or livestock being the focus species (2325). Therefore, the aim of this study was to develop and assess the reliability of a self-administered questionnaire designed to capture and understand Portuguese veterinarians' behaviors, attitudes, and perceptions about AMR and antibiotic prescription and use. This will serve as a tool to collect data on the topic of AMR and antibiotic use from the veterinarians' perspective, allowing for the subsequent design and implementation of tailored educational interventions to promote antibiotic stewardship and contribute to global efforts against AMR.

2 Materials and methods

2.1 Ethics approval and consent to participate

The research protocol was reviewed and received ethics approval from the Ethics Committee of the University of Trás-os-Montes and Alto Douro (Ethical approval reference Doc23-CE-UTAD-2025, on 05/03/2025). Informed consent was obtained from all individual participants included in the study.

2.2 Questionnaire design

The questionnaire was developed in Portuguese language it was based on: (i) a comprehensive review of relevant literature (2635); and (ii) collective intelligence methods, namely a focus group study exploring veterinarians' perceptions, attitudes, and knowledge about AMR and antibiotic use in food-producing animals, to maintain relevance to local practices, regulations, and cultural norms. Focus groups allow to refine previously known information and can also provide additional insights about a topic, rendering this method particularly useful for item development (36).

2.2.1 Face and content validity

One psychology expert and one Portuguese language expert evaluated face validity parameters, namely grammar, syntax, organization, appropriateness, potential question bias, and logical sequence of the statements (37, 38).

To ensure clarity, relevance of items, and comprehensiveness, the questionnaire was reviewed by a panel of 12 experts in the areas of veterinary medicine, public health, pharmacy, pharmacology, and pharmacoepidemiology. Content validity defines to what extent the set of items fully represent all aspects to be measured (39, 40), allowing to assess the accuracy, terminology, completeness, and meaning of items.

2.3 Pilot study: test-retest

The study was conducted in the Northern Region of Portugal, from February to April 2025, and the target populations were veterinarians. No restrictions were imposed on practice type, age, gender, or years of professional experience. At least 30 participants were recruited by convenience sampling (41, 42). The consent to participate in the pilot study was obtained from the individual veterinarians. To assess reproducibility, a test-retest was conducted, where questionnaires were delivered to the same participating veterinarians at an interval of 4 weeks (4345).

2.4 Psychometric tests and statistical analysis

Data was randomly checked to evaluate any potential transcription errors. Data was analyzed using IBM SPSS statistics for windows, version 30.0 (IBM Corp., New York, United States) and missing values were excluded from analysis. Descriptive statistics, including frequencies, percentages, means, and standard deviations, were applied to summarize the data.

In Sections 2, 3, 4, and 6, the reproducibility of this self-administered questionnaire was determined using the intraclass correlation coefficient (ICC), with the respective 95% confidence interval (CI) (46), computed by two-way analysis of variance (ANOVA), mixed-effects model and single measures (47, 48).

The internal consistency of the developed questionnaire was estimated through Cronbach's alpha coefficient, widely used as an objective measurement of internal consistency. This coefficient ranges from 0 to 1 and defines the extent to which items within a test or instrument consistently measure the same construct or concept. Values ≥ 0.70 were defined as satisfactory reliability for an instrument with ordinal outcome variables, such as Likert scales (4951). The questionnaire was not a single construct and, thus, this coefficient was only calculated for the 46 items in Sections 2, 3 and 4.

A preliminary Kaiser-Meyer-Olkin (KMO) test was performed to determine sampling adequacy for exploratory factor analysis.

3 Results

3.1 Questionnaire design and face and content validity

In Figure 1 is shown the step-by-step process of questionnaire development.

Figure 1
Flowchart detailing the questionnaire development process: It begins with a literature review and a qualitative study with veterinarians. A draft questionnaire with six sections was reviewed by experts from pharmacy, pharmacology, veterinary medicine, linguistics, and psychology. After revisions, including redrafting and adding questions, a pilot study was conducted with 34 veterinarians, followed by reliability analysis. The final questionnaire comprises six sections with 35 statements, three yes/no questions, and general queries.

Figure 1. Study workflow.

A questionnaire was developed with six main sections (Supplementary material): (1) sociodemographic data: five questions on sex, age, type of practice, region of work, and years of experience; (2) AMR: two closed questions for quantitative evaluation of the knowledge about AMR and antibiotic use, with Yes/No answer or a five-point Likert scale (totally disagree to totally agree); (3) responsible use of antibiotics and disease prevention: seven closed questions of Yes/No, one closed question classified with five parameters from always to never, one closed question classified with a five-point Likert scale (totally disagree to totally agree), and one closed question classified in a scale from 0 – “must be eliminated from practice” to 10 – “must be always performed”; (4) prescription and use of antibiotics: one closed question of Yes/No, one closed question classified with five parameters from totally disagree to totally agree, two closed questions classified in a scale from 0 —“not important” to 10—“extremely important,” and one multiple choice question; (5) storage and disposal of antimicrobials: two Yes/No questions; and (6) training, communication, and information: one closed question classified with five parameters from always to never, one closed question classified with five parameters from totally disagree to totally agree, and one Yes/No question.

After revision by the panel of experts, 11 statements were reformulated and one removed since it was repeating information relayed by another item in the same section. In Section 5, the two Yes/No questions were redrafted as multiple option, single choice questions to account for differences that exist in storage and discarding of antibiotics depending on veterinarian's practice and farm setting. In this same section, two Yes/No questions were added to gain further insight into the topic of appropriate discarding of antibiotics and prescription practices of surplus drugs. The questionnaire was in paper format and, thus, a comment sheet was added as the final page, allowing veterinarians to write in the respective section's box.

3.2 Pilot study: internal consistency and reproducibility

From the 34 veterinarians invited for the test-retest study, 91.2% (31/34) completed the study. The sociodemographic characteristics of the retest participants are depicted in Table 1.

Table 1
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Table 1. Sociodemographic characteristics of participating veterinarians (n = 31).

For Sections 2, 3, 4, and 6, ICC values were calculated (Tables 2, 3). In Section 2, ICC values ranged from 0.10 (p = 0.285) for item (a) “Authorities overestimate the risk of antimicrobial resistance (AMR)” to 0.75 (p < 0.001) for item (d) “The ineffectiveness of antibiotic treatment is frequently observed in daily practice.” In Section 3, related to responsible use of antibiotics and disease prevention, the correlation coefficients ranged from 0.25 (p = 0.086) for item (g) “Adequate infrastructure” to 0.81 (p < 0.001) for item (a) “It is very useful in my daily practice.” In Section 4, focused on prescription and use of antibiotics, ICC values ranged from 0.29 (p = 0.056) for item (k) “Sometimes I use antibiotics even when diagnosis is not clear, i.e., the etiological agent is unknown” to 0.85 (p < 0.001) for item (xix) “Client/farmer/owner financial resources.” In Section 6, relating to training, communication, and information, obtained ICC values ranged from 0.31 for items (a) “Investment in digital platforms should be a priority (e.g.,: for information dissemination, guidelines consultation, prescription, among others)” (p = 0.043) and (c) “More awareness campaigns for AMR should be promoted for farmers/owners” (p = 0.044) to 0.44 (p = 0.006) for item (d) “Veterinarians have a responsibility to inform clients/farmers/owners about issues associated with AMR.”

Table 2
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Table 2. Intraclass correlation coefficient (ICC), with respective p-value, determined for each scale-item of Sections 2 and 3.

Table 3
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Table 3. Intraclass correlation coefficient (ICC), with respective p-value, determined for each scale-item of Sections 4 and 6.

Statements 2a, 4f, and 6a were removed due to ICC values of 0.10, 0.36, and 0.31, respectively. Although displaying moderate (3e and 4a, b, d), good (4c) and excellent (4g) ICC, these items were removed from the questionnaire following comments from the participants and due to redundancy.

The questionnaire achieved Cronbach's alpha coefficient values of 0.81 and 0.78 in test and retest, respectively.

The determined KMO was 0.41 and, since values < 0.5 are not acceptable for factor analysis (40, 52), we did not proceed with the exploratory factor analysis.

3.3 Comments and suggestions from the veterinarians

In total, 10 veterinarians provided comments and suggestions on the sheet designated for this purpose. None of the respondents commented about the comprehensiveness of the questionnaire. One veterinarian referred to the length of the questionnaire as a factor that could detract participation. Participants suggested the addition of questions related to AMR knowledge, susceptibility tests, availability of medicines for optimal clinical practice, reasons for low adherence to educational initiatives, and training for and monitoring of appropriate antibiotic use and disposal.

4 Discussion

Veterinarians are often gatekeepers of antibiotic use in animals and, under the One Health approach, essential for promoting antimicrobial stewardship (5355). In this study, a questionnaire for identifying veterinarians' knowledge, perceptions, attitudes, and practices related to AMR and antibiotic use in animals was designed, demonstrating to be reliable, and reproducible.

Questionnaire's items were developed from a comprehensive review of relevant literature and a focus group study with livestock veterinarians and were required to be refined in terms of wording and content (40). Importantly, the type of question, language, and order of items may lead to biased responses. Thus, to ensure face and content validity, consultation with experts with different and relevant backgrounds was performed. For the design of comprehensive survey instruments, deductive and inductive methods are used (56). These correspond, respectively, to literature support and inputs from experts and/or target population, and to collective qualitative information. While the deductive method helps construct the theoretical basis for the items/domains, the inductive approach collects qualitative information from field experts and their individual experiences via interviews, focus groups, or field observations (56). In quantitative investigation, using focus groups for item development is particularly advantageous since this methodology is effective in generating new data and providing rich discussions, allowing participants to share particular insights and contrasting viewpoints (36, 57).

In the developed questionnaire, to collect knowledge, Yes/No questions were used, while for attitudes and practices, Likert scales were chosen. Likert-type scales (5860) are useful to collect attitudes, perceptions, and opinions and are frequently used in human (38, 6164) and veterinary medicine (26, 29). The number of options should provide the respondents with the opportunity to express positive, negative, and neutral views. In turn, this helps reduce response bias and enhance data reliability (65, 66). Ratings from 0–10 were also used (23), with one question providing the number “5” as a middle point anchor. Compared to 1–10 rating scales, the ones that use a 0–10 or 0–5–10 scales have lower levels of item non-response (67).

Obtained results demonstrate that the questionnaire was reliable and reproducible. Good reliability enhances the credibility of research findings (39, 68), and this is also emphasized in validated surveys on AMR and antibiotic use (24, 37, 38, 47, 61, 64, 69). Computed ICC values can be interpreted following published guidelines: values superior or equal to 0.75 indicate excellent inter-rater agreement; values from 0.60 to 0.74 indicate good agreement; values from 0.40 to 0.59 indicate fair to moderate agreement; and values lower than 0.40 indicate poor agreement (70).

Companion-animal veterinarians represented more than 60% of the target population, which is in line with statistics regarding veterinary profession in Portugal. According to the latest data from the representative institution of Veterinary Doctors (71), n = 7,541 practicing veterinarians are registered in Portugal, with n = 1,998 being located in Northern Portugal and n = 4,001 and n = 656 working with companion animals and livestock, respectively (71). Although most participants from the first phase also returned the second phase (retest) questionnaire (31 out of 34), the high number of questions was noted by one veterinarian. An extensive questionnaire, although important to obtain comprehensive data, may result in participants rushing through the questions and providing uniform, identical responses (72, 73). After considering the veterinarians' comments, questions were either deleted or reformulated and, thus, the length of the questionnaire was reduced while maintaining the quality of information retrieved.

The internal consistency, defined as the extent to which items within a test or instrument consistently measure the same construct, is frequently calculated using Cronbach's alpha (49). A value of 0.70 or higher indicates a good association among items, while values below 0.50 reflect a poor association. In turn, a Cronbach's alpha higher than 0.90 may suggest redundancy rather than a suitable level of consistency (74). In this study, for test and retest, Cronbach alpha values of 0.81 and 0.78 were obtained, respectively, demonstrating the internal consistency of the measurement instrument. Other studies on the design of surveys to address the same subject, either targeting physicians (75) or farmers (76), have obtained Cronbach values between 0.32 and 0.82.

The adequate reliability observed in our study could stem from the data initially gathered from the focus group sessions with veterinarians, as well as from other factors, namely: (i) the objective nature of the questions; (ii) the interest and concerns about AMR and inappropriate antibiotic use shared among veterinarians; (iii) the assessment of the instrument by an expert panel comprising veterinarians and pharmacists; (iv) the use of 5-point Likert and 0–10 radio-button scales (77, 78); and (v) the 4-week interval between test and retest (38, 45).

A current global public health priority is to preserve the therapeutic effectiveness of antibiotics by promoting their prudent and responsible use and, under the One Health approach, human and veterinary medicine settings are obligatory participants (1618). As mentioned, there is a lack of surveys in Portugal with veterinarians on the topic of AMR. The existing ones (2325) underline veterinarians as key antibiotic stewards and as One Health agents. Instruments that allow us to understand antibiotic prescription practices, knowledge, and drivers are necessary to effectively design and implement educational interventions targeting veterinarians to further support their antibiotic use decisions, while ensuring animal health, welfare, and productivity (25). Also, obtained data could help policymakers tailor national guidelines and legislation for the prudent use of antimicrobials in animals, contributing to the global efforts to tackle AMR emergence and spread.

The primary limitations of this study are the small size and convenience-based nature of the pilot study sample, as well as the region-specific veterinarian population (Northern of Portugal). Despite the limited number of participants and geographical distribution, the primary objective of the pilot study was to evaluate the reliability of the developed questionnaire in the early stages of the research. For this goal, the method of convenience sampling of 30 or more participants is frequently employed (41, 42). Although, in the present study, construct validity was not determined, this will be fully addressed in subsequent research with a larger sample number, during a full-scale cross-sectional study that encompasses all veterinarians working in Portugal as potential participants.

To conclude, a questionnaire, directed toward veterinarians and under the topic of AMR and antibiotic use, was designed and showed adequate reliability. This self-administered questionnaire could be useful to capture veterinarians' knowledge, perceptions, and attitudes, holding significant potential for the design of future educational interventions targeting this professional group. These initiatives, focusing on appropriate antibiotic prescription and use, could contribute to global efforts to tackle AMR and to promote public health.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Ethics Committee of the University of Trás-os-Montes and Alto Douro (Ethical approval reference Doc23-CE-UTAD-2025, on 05/03/2025). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

AFP: Formal analysis, Writing – original draft, Data curation, Visualization, Investigation, Writing – review & editing. LdR: Visualization, Investigation, Writing – review & editing. JOP: Writing – review & editing, Investigation, Methodology, Writing – original draft, Visualization, Formal analysis. AIP: Visualization, Methodology, Writing – review & editing. AF: Methodology, Writing – review & editing, Conceptualization. FR: Conceptualization, Funding acquisition, Writing – review & editing, Project administration, Supervision. MTH: Supervision, Funding acquisition, Conceptualization, Project administration, Writing – review & editing. ACC: Validation, Conceptualization, Writing – review & editing. PAO: Validation, Investigation, Writing – review & editing, Conceptualization.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This research was funded by FCT -Fundação para a Ciência e a Tecnologia, I.P., under grant numbers UID 4501-Instituto de Biomedicina-Aveiro, 2022.04568.PTDC, UIDB/04033/2020, and CEECINST/00093/2021/CP2815/CT0002.

Acknowledgments

The authors acknowledge Doutora Ana João Santos, PhD, from the Department of Education and Psychology of the University of Aveiro, and Professora Doutora Teresa Alegre, from the Department of Languages and Cultures of the University of Aveiro, for their expert revision of the questionnaire; and all the veterinarians who voluntarily participated in the study.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author FR declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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The author(s) declared that generative AI was not used in the creation of this manuscript.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2025.1754010/full#supplementary-material

References

1. WHO. Antimicrobial resistance - Key facts (2023). Available online at: https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance [Accessed September 5, 2025].

Google Scholar

2. Naghavi M, Vollset SE, Ikuta KS, Swetschinski LR, Gray AP, Wool EE, et al. Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050. Lancet. (2024) 404:1199–226. doi: 10.1016/S0140-6736(24)01867-1

PubMed Abstract | Crossref Full Text | Google Scholar

3. Whittaker A, Do TT, Davis MDM, Barr J. AMR survivors? Chronic living with antimicrobial resistant infections. Glob Public Health. (2023) 18:2217445. doi: 10.1080/17441692.2023.2217445

PubMed Abstract | Crossref Full Text | Google Scholar

4. Ahmed SK, Hussein S, Qurbani K, Ibrahim RH, Fareeq A, Mahmood KA, et al. Antimicrobial resistance: impacts, challenges, and future prospects. J Med Surg Public Health. (2024) 2:100081. doi: 10.1016/j.glmedi.2024.100081

Crossref Full Text | Google Scholar

5. Bengtsson B, Greko C. Antibiotic resistance—consequences for animal health, welfare, and food production. Ups J Med Sci. (2014) 119:96–102. doi: 10.3109/03009734.2014.901445

PubMed Abstract | Crossref Full Text | Google Scholar

6. Rana EA, Fazal MA, Alim MA. Frequently used therapeutic antimicrobials and their resistance patterns on Staphylococcus aureus and Escherichia coli in mastitis affected lactating cows. Int J Vet Sci Med. (2022) 10:1–10. doi: 10.1080/23144599.2022.2038494

PubMed Abstract | Crossref Full Text | Google Scholar

7. Ali S, Tariq MHA, Yaqoob M, Haq MU, Zahra R. Molecular epidemiology and characterization of antibiotic resistance of Pasteurella multocida isolated from livestock population of Punjab, Pakistan. Int J Vet Sci Med. (2025) 13:1–12. doi: 10.1080/23144599.2024.2437223

PubMed Abstract | Crossref Full Text | Google Scholar

8. Sasaki Y, Asakura H, Asai T. Prevalence and fluoroquinolone resistance of Campylobacter spp. isolated from beef cattle in Japan. Anim Dis. (2022) 2:15. doi: 10.1186/s44149-022-00048-6

Crossref Full Text | Google Scholar

9. Holmes AH, Moore LSP, Sundsfjord A, Steinbakk M, Regmi S, Karkey A, et al. Understanding the mechanisms and drivers of antimicrobial resistance. Lancet. (2016) 387:176–87. doi: 10.1016/S0140-6736(15)00473-0

PubMed Abstract | Crossref Full Text | Google Scholar

10. Blair JMA, Webber MA, Baylay AJ, Ogbolu DO, Piddock LJV. Molecular mechanisms of antibiotic resistance. Nat Rev Microbiol. (2015) 13:42–51. doi: 10.1038/nrmicro3380

Crossref Full Text | Google Scholar

11. Hoelzer K, Wong N, Thomas J, Talkington K, Jungman E, Coukell A. Antimicrobial drug use in food-producing animals and associated human health risks: what, and how strong, is the evidence? BMC Vet Res. (2017) 13:211. doi: 10.1186/s12917-017-1131-3

PubMed Abstract | Crossref Full Text | Google Scholar

12. Byrne MK, Miellet S, McGlinn A, Fish J, Meedya S, Reynolds N, et al. The drivers of antibiotic use and misuse: the development and investigation of a theory driven community measure. BMC Public Health. (2019) 19:1425. doi: 10.1186/s12889-019-7796-8

PubMed Abstract | Crossref Full Text | Google Scholar

13. ECDC, EFSA. EMA. Antimicrobial consumption and resistance in bacteria from humans and food-producing animals. EFSA J. (2024) 22:e8589. doi: 10.2903/j.efsa.2024.8589

Crossref Full Text | Google Scholar

14. Van Puyvelde S, Deborggraeve S, Jacobs J. Why the antibiotic resistance crisis requires a One Health approach. Lancet Infect Dis. (2018) 18:132–4. doi: 10.1016/S1473-3099(17)30704-1

PubMed Abstract | Crossref Full Text | Google Scholar

15. Murray CJL, Ikuta KS, Sharara F, Swetschinski L, Robles Aguilar G, Gray A, et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet. (2022) 399:629–55. doi: 10.1016/S0140-6736(21)02724-0

PubMed Abstract | Crossref Full Text | Google Scholar

16. WHO. Fact sheet - One Health (2023). Available online at: https://www.who.int/news-room/fact-sheets/detail/one-health [Accessed November 12, 2025].

Google Scholar

17. WHO, FAO, UNEP, WOAH. A one health priority research agenda for antimicrobial resistance (2023). Available online at: https://www.who.int/publications/i/item/9789240075924 (Accessed April 11, 2025).

Google Scholar

18. FAO; UNEP; WHO; WOAH. One Health Joint Plan of Action, 2022–2026. Rome: FAO (2022).

Google Scholar

19. Bazzi R, Alaboudi A, Rácz G. The role of veterinarians in the One Health approach to antimicrobial resistance perspectives in Jordan. Anim Dis. (2022) 2:1. doi: 10.1186/s44149-021-00033-5

Crossref Full Text | Google Scholar

20. Marinho CM, Santos T, Gonçalves A, Poeta P, Igrejas G. A decade-long commitment to antimicrobial resistance surveillance in Portugal. Front Microbiol. (2016) 7:1650. doi: 10.3389/fmicb.2016.01650

PubMed Abstract | Crossref Full Text | Google Scholar

21. Servia-Dopazo M, Taracido-Trunk M, Figueiras A. Non-clinical factors determining the prescription of antibiotics by veterinarians: a systematic review. Antibiotics. (2021) 10:133. doi: 10.3390/antibiotics10020133

PubMed Abstract | Crossref Full Text | Google Scholar

22. Mwatondo A, Rahman-Shepherd A, Hollmann L, Chiossi S, Maina J, Kurup KK, et al. A global analysis of One Health Networks and the proliferation of One Health collaborations. Lancet. (2023) 401:605–16. doi: 10.1016/S0140-6736(22)01596-3

PubMed Abstract | Crossref Full Text | Google Scholar

23. Alcantara GLC, Pinello KC, Severo M, Niza-Ribeiro J. Antimicrobial resistance in companion animals – Veterinarians' attitudes and prescription drivers in Portugal. Comp Immunol Microbiol Infect Dis. (2021) 76:101640. doi: 10.1016/j.cimid.2021.101640

PubMed Abstract | Crossref Full Text | Google Scholar

24. Marta-Costa A, Miranda C, Silva V, Silva A, Martins Â, Pereira JE, et al. Survey of the knowledge and use of antibiotics among medical and veterinary health professionals and students in Portugal. Int J Environ Res Public Health. (2021) 18:2753. doi: 10.3390/ijerph18052753

PubMed Abstract | Crossref Full Text | Google Scholar

25. Carmo LP, Bouzalas I, Nielsen LR, Alban L, Martins da Costa P, Müntener C, et al. Expert opinion on livestock antimicrobial usage indications and patterns in Denmark, Portugal and Switzerland. Vet Rec Open. (2018) 5:e000288. doi: 10.3389/fvets.2018.00029

PubMed Abstract | Crossref Full Text | Google Scholar

26. Odoi A, Samuels R, Carter CN, Smith J. Antibiotic prescription practices and opinions regarding antimicrobial resistance among veterinarians in Kentucky, USA. PLoS ONE. (2021) 16:e0249653. doi: 10.1371/journal.pone.0249653

PubMed Abstract | Crossref Full Text | Google Scholar

27. Eltholth M, Govindaraj G, Das B, Shanabhoga MB, Swamy HM, Thomas A, et al. Factors influencing antibiotic prescribing behavior and understanding of antimicrobial resistance among veterinarians in Assam, India. Front Vet Sci. (2022) 9:864813. doi: 10.3389/fvets.2022.864813

PubMed Abstract | Crossref Full Text | Google Scholar

28. Taylor DD, Martin JN, Scallan Walter EJ. Survey of companion animal veterinarians' antimicrobial drug prescription practices and awareness of antimicrobial drug use guidelines in the United States. Zoonoses Public Health. (2022) 69:277–85. doi: 10.1111/zph.12915

PubMed Abstract | Crossref Full Text | Google Scholar

29. Wilson A, Mair T, Williams N, McGowan C, Pinchbeck G. Antimicrobial prescribing and antimicrobial resistance surveillance in equine practice. Equine Vet J. (2023) 55:494–505. doi: 10.1111/evj.13587

PubMed Abstract | Crossref Full Text | Google Scholar

30. O'Connor S, More SJ, Speksnijder DC, Petti C. The opinions of farm animal veterinarians in Ireland on antibiotic use and their role in antimicrobial stewardship. Ir Vet J. (2023) 76:28. doi: 10.1186/s13620-023-00253-w

PubMed Abstract | Crossref Full Text | Google Scholar

31. Llanos-Soto SG, Vezeau N, Wemette M, Bulut E, Greiner Safi A, Moroni P, et al. Survey of perceptions and attitudes of an international group of veterinarians regarding antibiotic use and resistance on dairy cattle farms. Prev Vet Med. (2021) 188:105253. doi: 10.1016/j.prevetmed.2020.105253

PubMed Abstract | Crossref Full Text | Google Scholar

32. Chan KW, Bard AM, Adam KE, Rees GM, Morgans L, Cresswell L, et al. Diagnostics and the challenge of antimicrobial resistance: a survey of UK livestock veterinarians' perceptions and practices. Vet Rec. (2020) 187:e125–e125. doi: 10.1136/vr.105822

PubMed Abstract | Crossref Full Text | Google Scholar

33. Norris JM, Zhuo A, Govendir M, Rowbotham SJ, Labbate M, Degeling C, et al. Factors influencing the behaviour and perceptions of Australian veterinarians towards antibiotic use and antimicrobial resistance. PLoS ONE. (2019) 14:e0223534. doi: 10.1371/journal.pone.0223534

PubMed Abstract | Crossref Full Text | Google Scholar

34. Sarker MS, Nath SC, Ahmed I, Siddiky NA, Islam S, Kabir ME, et al. Knowledge, attitude and practice towards antibiotic use and resistance among the veterinarians in Bangladesh. PLoS One. (2024) 19:e0308324. doi: 10.1371/journal.pone.0308324

PubMed Abstract | Crossref Full Text | Google Scholar

35. Smith SI, Kwaga JKP, Ngulukun SS, Adedeji A, Jolaiya TF, Ajayi A, et al. Antibiotic prescription practices amongst veterinarians in Nigeria. Res Vet Sci. (2022) 152:219–27. doi: 10.1016/j.rvsc.2022.07.028

PubMed Abstract | Crossref Full Text | Google Scholar

36. Nassar-McMillan S, Dianne Borders L. Use of focus groups in survey item development. Qual Rep. (2002) 7:1–12. doi: 10.46743/2160-3715/2002.1987

Crossref Full Text | Google Scholar

37. Alumran A, Hou X-Y, Hurst C. Validity and reliability of instruments designed to measure factors influencing the overuse of antibiotics. J Infect Public Health. (2012) 5:221–32. doi: 10.1016/j.jiph.2012.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

38. Roque F, Soares S, Breitenfeld L, Gonzalez-Gonzalez C, Figueiras A, Herdeiro MT. Portuguese community pharmacists' attitudes to and knowledge of antibiotic misuse: questionnaire development and reliability. PLoS ONE. (2014) 9:e90470. doi: 10.1371/journal.pone.0090470

PubMed Abstract | Crossref Full Text | Google Scholar

39. Connell J, Carlton J, Grundy A, Taylor Buck E, Keetharuth AD, Ricketts T, et al. The importance of content and face validity in instrument development: lessons learnt from service users when developing the Recovering Quality of Life measure (ReQoL). Qual Life Res. (2018) 27:1893–902. doi: 10.1007/s11136-018-1847-y

PubMed Abstract | Crossref Full Text | Google Scholar

40. Rattray J, Jones MC. Essential elements of questionnaire design and development. J Clin Nurs. (2007) 16:234–43. doi: 10.1111/j.1365-2702.2006.01573.x

PubMed Abstract | Crossref Full Text | Google Scholar

41. Bujang MA, Omar ED, Foo DHP, Hon YK. Sample size determination for conducting a pilot study to assess reliability of a questionnaire. Restor Dent Endod. (2024) 49:e3. doi: 10.5395/rde.2024.49.e3

PubMed Abstract | Crossref Full Text | Google Scholar

42. Johanson GA, Brooks GP. Initial scale development: sample size for pilot studies. Educ Psychol Meas. (2010) 70:394–400. doi: 10.1177/0013164409355692

Crossref Full Text | Google Scholar

43. Arat S, Van den Zegel A, Van Rillaer M, Moons P, Vandenberghe J, De Langhe E, et al. Development and preliminary evaluation of the validity and reliability of a revised illness perception questionnaire for healthcare professionals. BMC Nurs. (2016) 15:34. doi: 10.1186/s12912-016-0156-4

PubMed Abstract | Crossref Full Text | Google Scholar

44. Voellinger R, Taffé P, Cornuz J, Durieux P, Burnand B. Discriminant validity and test-retest reliability of a self-administered Internet-based questionnaire testing doctors' knowledge in evidence-based medicine. J Eval Clin Pract. (2011) 17:471–7. doi: 10.1111/j.1365-2753.2010.01451.x

PubMed Abstract | Crossref Full Text | Google Scholar

45. dos Santos Pernas SI, Herdeiro MT, Lopez-Gonzalez E, da Cruz e Silva OAB, Figueiras A. Attitudes of Portuguese health professionals toward adverse drug reaction reporting. Int J Clin Pharm. (2012) 34:693–8. doi: 10.1007/s11096-012-9675-6

PubMed Abstract | Crossref Full Text | Google Scholar

46. Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res. (2005) 19:231. doi: 10.1519/15184.1

PubMed Abstract | Crossref Full Text | Google Scholar

47. Mallah N, Rodríguez-Cano R, Badro DA, Figueiras A, Gonzalez-Barcala F-J, Takkouche B. Development and validation of a knowledge, attitude and practice questionnaire on antibiotic use in Arabic and French Languages in Lebanon. Int J Environ Res Public Health. (2022) 19:687. doi: 10.3390/ijerph19020687

PubMed Abstract | Crossref Full Text | Google Scholar

48. Neto M, Albuquerque F, Patrício R, Vieira M, Fernandes R, Silva A, et al. Reliability and validity of the European Portuguese version of the EULAR Systemic Sclerosis Impact of Disease (ScleroID) questionnaire. ARP Rheumatol. (2025) 4:194–205. doi: 10.63032/DBOO2665

PubMed Abstract | Crossref Full Text | Google Scholar

49. Tavakol M, Dennick R. Making sense of Cronbach's alpha. Int J Med Educ. (2011) 2:53–5. doi: 10.5116/ijme.4dfb.8dfd

PubMed Abstract | Crossref Full Text | Google Scholar

50. Khan S, Addoddon D, Prapapanpong J, Suwannaboon M, Arjkumpa O, Na-Lampang K, et al. Path analysis of farmer knowledge, attitudes, and practices toward lumpy skin disease in beef cattle. Anim Dis. (2025) 5:3. doi: 10.1186/s44149-025-00155-0

Crossref Full Text | Google Scholar

51. Duarte-Silva D, Figueiras A, Herdeiro MT, Teixeira Rodrigues A, Silva Branco F, Polónia J, et al. design and validation of a questionnaire about adverse effects of antihypertensive drugs. Pharm Pract. (2014) 12:0–0. doi: 10.4321/S1886-36552014000200005

Crossref Full Text | Google Scholar

52. Dalawi I, Isa MR, Aimran N. Exploratory factor analysis on the development and validation of the understanding, attitude, practice and health literacy questionnaire on COVID-19 in Malay language. Sci Rep. (2025) 15:19654. doi: 10.1038/s41598-025-04517-z

PubMed Abstract | Crossref Full Text | Google Scholar

53. Pinho JO, Coelho AC, Oliveira P, Figueiras A, Roque F, Herdeiro MT. Tackling antibiotic resistance threat through the one health approach: a focus on veterinary medicine. In: https://onlinelibrary.wiley.com/authored-by/Vithanage/MeththikaVithanage M, Vara Prasad MN. Sustainable Animal Agriculture - Global Challenges and Practical Solutions. London: IntechOpen (2025). p. 35–64.

Google Scholar

54. Powell A, Bard AM, Rees GM. Assessing veterinarians' opinions of antimicrobial stewardship initiative acceptability for farm practice in Wales. Vet Rec. (2024) 195:e4799. doi: 10.1002/vetr.4799

PubMed Abstract | Crossref Full Text | Google Scholar

55. Farrell S, Bagcigil AF, Chaintoutis SC, Firth C, Aydin FG, Hare C, et al. A multinational survey of companion animal veterinary clinicians: how can antimicrobial stewardship guidelines be optimised for the target stakeholder? Vet J. (2024) 303:106045. doi: 10.1016/j.tvjl.2023.106045

PubMed Abstract | Crossref Full Text | Google Scholar

56. Gupta S, Grover S, Menon V, Indu P, Vidhukumar K, Chacko D. Item generation and establishing face and content validity of a rating scale: a primer. Indian J Psychiatry. (2025) 67:816–22. doi: 10.4103/indianjpsychiatry_750_25

PubMed Abstract | Crossref Full Text | Google Scholar

57. O'Brien K. Improving survey questionnaires through focus groups. In:Morgan DL, , editor. Successful Focus Groups: Advancing the State of the Art. Thousand Oaks, CA: SAGE Publications, Inc. (1993). p. 105–17.

Google Scholar

58. Sullivan GM, Artino AR. Analyzing and interpreting data from likert-type scales. J Grad Med Educ. (2013) 5:541–2. doi: 10.4300/JGME-5-4-18

PubMed Abstract | Crossref Full Text | Google Scholar

59. Norman G. Likert scales, levels of measurement and the “laws” of statistics. Adv Heal Sci Educ. (2010) 15:625–32. doi: 10.1007/s10459-010-9222-y

PubMed Abstract | Crossref Full Text | Google Scholar

60. Joshi A, Kale S, Chandel S, Pal D. Likert scale: explored and explained. Br J Appl Sci Technol. (2015) 7:396–403. doi: 10.9734/BJAST/2015/14975

Crossref Full Text | Google Scholar

61. Ashiru-Oredope D, Casale E, Harvey E, Umoh E, Vasandani S, Reilly J, et al. Knowledge and attitudes about antibiotics and antibiotic resistance of 2404 UK healthcare workers. Antibiotics. (2022) 11:1133. doi: 10.3390/antibiotics11081133

PubMed Abstract | Crossref Full Text | Google Scholar

62. Taborda JCM, Guzmán JCM, Higuita-Gutiérrez LF. Understanding antibiotic knowledge, attitudes, and practices: a cross-sectional study in physicians from a Colombian region, 2023. BMC Med Educ. (2024) 24:380. doi: 10.1186/s12909-024-05354-w

PubMed Abstract | Crossref Full Text | Google Scholar

63. Rodríguez-Fernández A, Vázquez-Cancela O, Piñeiro-Lamas M, Herdeiro MT, Figueiras A, Zapata-Cachafeiro M. Magnitude and determinants of inappropriate prescribing of antibiotics in dentistry: a nation-wide study. Antimicrob Resist Infect Control. (2023) 12:20. doi: 10.1186/s13756-023-01225-z

PubMed Abstract | Crossref Full Text | Google Scholar

64. Rodrigues AT, Ferreira M, Roque F, Falcão A, Ramalheira E, Figueiras A, et al. Physicians' attitudes and knowledge concerning antibiotic prescription and resistance: questionnaire development and reliability. BMC Infect Dis. (2015) 16:7. doi: 10.1186/s12879-015-1332-y

PubMed Abstract | Crossref Full Text | Google Scholar

65. Lozano LM, García-Cueto E, Muñiz J. Effect of the number of response categories on the reliability and validity of rating scales. Methodology. (2008) 4:73–9. doi: 10.1027/1614-2241.4.2.73

Crossref Full Text | Google Scholar

66. Koo M, Yang S-W. Likert-type scale. Encyclopedia. (2025) 5:18. doi: 10.3390/encyclopedia5010018

Crossref Full Text | Google Scholar

67. Courser MW, Lavrakas PJ. Item-nonresponse and the 10-point response scale in telephone surveys. Surv Pract. (2012) 5:1–5. doi: 10.29115/SP-2012-0021

Crossref Full Text | Google Scholar

68. Kipfer S, Pihet S. Reliability, validity and relevance of needs assessment instruments for informal dementia caregivers: a psychometric systematic review. JBI Evid Synth. (2020) 18:704–42. doi: 10.11124/JBISRIR-2017-003976

PubMed Abstract | Crossref Full Text | Google Scholar

69. Alruqayb WS, Baali FH, Althbiany M, Alharthi A, Alnefaie S, Alhaji R, et al. Determinants of public knowledge, attitude, and practice on antibiotic use in saudi arabia: a regional cross-sectional study. Healthcare. (2025) 13:1666. doi: 10.3390/healthcare13141666

PubMed Abstract | Crossref Full Text | Google Scholar

70. McDowell I. Measuring Health: A Guide to Rating Scales and Questionnaires, 3rd Edn. Oxford: Oxford Universisty Press (2006).

Google Scholar

71. OMV. Estatísticas. OMV - Ordem dos Médicos Veterinários (2024). Available online at: https://www.omv.pt/omv/estatisticas [Accessed December 19, 2025].

Google Scholar

72. Sharma H. How short or long should be a questionnaire for any research? Researchers dilemma in deciding the appropriate questionnaire length Saudi. J Anaesth. (2022) 16:65–8. doi: 10.4103/sja.sja_163_21

Crossref Full Text | Google Scholar

73. van den Brom-Spierenburg AJ, Mure?an AN, Westermann CM. Antimicrobial prescription behavior in equine asthma cases: an international survey. Animals. (2024) 14:457. doi: 10.3390/ani14030457

PubMed Abstract | Crossref Full Text | Google Scholar

74. Streiner DL. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess. (2003) 80:99–103. doi: 10.1207/S15327752JPA8001_18

PubMed Abstract | Crossref Full Text | Google Scholar

75. Hayat K, Mustafa ZU, Ikram MN, Ijaz-Ul-Haq M, Noor I, Rasool MF, et al. Perception, attitude, and confidence of physicians about antimicrobial resistance and antimicrobial prescribing among COVID-19 patients: a cross-sectional study from Punjab, Pakistan. Front Pharmacol. (2022) 12:794453. doi: 10.3389/fphar.2021.794453

PubMed Abstract | Crossref Full Text | Google Scholar

76. Gemeda BA, Amenu K, Magnusson U, Dohoo I, Hallenberg GS, Alemayehu G, et al. Antimicrobial use in extensive smallholder livestock farming systems in Ethiopia: knowledge, attitudes, and practices of livestock keepers. Front Vet Sci. (2020) 7:55. doi: 10.3389/fvets.2020.00055

PubMed Abstract | Crossref Full Text | Google Scholar

77. Couper MP, Tourangeau R, Conrad FG, Singer E. Evaluating the effectiveness of visual analog scales. Soc Sci Comput Rev. (2006) 24:227–45. doi: 10.1177/0894439305281503

Crossref Full Text | Google Scholar

78. Toepoel V, Funke F. Sliders, visual analogue scales, or buttons: influence of formats and scales in mobile and desktop surveys. Math Popul Stud. (2018) 25:112–22. doi: 10.1080/08898480.2018.1439245

Crossref Full Text | Google Scholar

Keywords: antibiotic stewardship, antimicrobial resistance, One Health, questionnaire design, questionnaire reliability, veterinarians

Citation: Pereira AF, de Rago L, Pinho JO, Plácido AI, Figueiras A, Roque F, Herdeiro MT, Coelho AC and Oliveira PA (2026) Veterinarians' attitudes, knowledge, and practices about antibiotic use in animals: questionnaire design and reliability. Front. Vet. Sci. 12:1754010. doi: 10.3389/fvets.2025.1754010

Received: 25 November 2025; Revised: 22 December 2025;
Accepted: 29 December 2025; Published: 21 January 2026.

Edited by:

Taru Singh, Amity University, India

Reviewed by:

Mireille Serhan, University of Balamand, Lebanon
Nurullah Ozdemir, Namik Kemal University, Türkiye

Copyright © 2026 Pereira, de Rago, Pinho, Plácido, Figueiras, Roque, Herdeiro, Coelho and Oliveira. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Paula Alexandra Oliveira, cGFtb0B1dGFkLnB0

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