| Literature DB >> 34930491 |
Mabel Kamweli Aworh1,2,3, Jacob Kwada Paghi Kwaga4, Emmanuel Chukwudi Okolocha4.
Abstract
INTRODUCTION: Antimicrobial resistance (AMR) has recently gained worldwide recognition, as the emergence of multi-drug resistant organisms has led to increased mortality and economic burden. This study aimed to assess knowledge, attitudes, and practices of veterinarians towards rational antimicrobial prescribing and identify factors influencing use.Entities:
Keywords: Antimicrobial Resistance; Antimicrobial Stewardship; Antimicrobial Use; Knowledge Assessment; Nigeria; Prescribing Practices
Year: 2021 PMID: 34930491 PMCID: PMC8690525 DOI: 10.1186/s42522-021-00058-3
Source DB: PubMed Journal: One Health Outlook ISSN: 2524-4655
Demographic Characteristics of Veterinarians in Abuja, Nigeria, 2020
| Characteristics | Frequency N=144 | Percent (%) |
|---|---|---|
| DVM | 59 | 41.0 |
| MSc/MPH | 69 | 47.9 |
| PhD | 7 | 4.9 |
| Others | 9 | 6.3 |
| Government (Public Service) | 65 | 45.1 |
| Academia | 19 | 13.2 |
| Private practice | 49 | 34.0 |
| Vet Pharmacy | 4 | 2.8 |
| Others | 7 | 4.9 |
| AMAC | 108 | 75.0 |
| Gwagwalada | 14 | 9.7 |
| Kuje | 10 | 6.9 |
| Bwari | 10 | 6.9 |
| Kwali | 1 | 0.7 |
| Abaji | 1 | 0.7 |
| Before year 2000 | 32 | 22.2 |
| After year 2000 | 112 | 77.8 |
Fig. 1Age and Sex distribution of the respondents in Abuja, 2020. Most of the veterinarians working in Abuja who participated in this survey both male and female were within the age group 30 – 39 years. The least number of respondents for both genders were above 60 years of age
Level of Knowledge demonstrated by respondents on AMR and AMS, Abuja
| Overall Knowledge | |||
| Mean Knowledge Score (%) | 66.3 | ||
| Good Knowledge | 26 | 18.1 | |
| Average Knowledge | 70 | 48.6 | |
| Poor Knowledge | 48 | 33.3 | |
| Strongly Agree | 78 | 54.2 | |
| Agree | 50 | 34.7 | |
| Strongly Disagree | 16 | 11.1 | |
| Yes | 31 | 21.5 | |
| No | 113 | 78.5 | |
| Yes | 117 | 81.3 | |
| No | 27 | 18.8 | |
| Yes | 113 | 78.5 | |
| No | 31 | 21.5 | |
| Yes | 128 | 88.9 | |
| No | 16 | 11.1 | |
| Yes | 89 | 61.8 | |
| No | 11 | 7.6 | |
| Don’t know | 44 | 30.6 | |
| Yes | 91 | 63.2 | |
| No | 12 | 8.3 | |
| May be | 41 | 28.5 | |
| Yes | 68 | 47.2 | |
| No | 76 | 52.3 | |
| Yes | 134 | 93.1 | |
| No | 1 | 0.7 | |
| May be | 9 | 6.3 | |
Scoring assumptions: poor (< 60%), moderate (60 – 80%), and good (> 80%)
Fig. 2Sources of information that guides Veterinarians on appropriate antimicrobial use in Abuja, 2020
Fig. 3The average doses of antimicrobial agents prescribed daily by Veterinarians in Abuja. The bars represent the distribution of the average frequency of antimicrobial agents prescribed daily by the veterinarians. *Error bars represent Standard Error of the mean
Bivariate analysis of factors influencing antimicrobial prescribing practices of veterinarians
| Factors | Good Attitude | Poor Attitude | Odds Ratio | 95% Confidence Intervals | P-value |
|---|---|---|---|---|---|
| 24 | 60 | 1.44 | 0.66 – 3.14 | 0.34 | |
| > 30 – 39 | 13 | 47 | |||
| Female | 15 | 25 | 2.24 | 1.01 – 4.94 | |
| Male | 22 | 82 | |||
| < 2000 | 8 | 24 | 0.95 | 0.38 – 2.35 | 0.92 |
| > 2000 | 29 | 83 | |||
| D.V.M | 16 | 43 | 1.13 | 0.53 – 2.41 | 0.74 |
| Higher degree | 21 | 64 | |||
| AMAC | 28 | 80 | 1.05 | 0.44 – 2.50 | 0.91 |
| Outside AMAC | 9 | 27 | |||
| Government | 25 | 59 | 1.69 | 0.77 – 3.72 | 0.18 |
| Private Sector | 12 | 48 | |||
| Good | 32 | 64 | 4.30 | 1.55 – 11.90 | |
| Poor | 5 | 43 | |||
*Factors that are statistically significant at p 0.05
Fig. 4Common antimicrobial agents sold in Abuja by Veterinarians. This chart shows the distribution of frequency of sales of antimicrobials as reported by the respondents in descending order with a cumulative line on the secondary axis as a percentage of the total. The most common antimicrobial agent sold in Abuja by veterinarians for use in animals as declared by the respondents was tetracycline while the least sold was fosfomycin
Fig. 5Information provided by veterinarians when antimicrobials are being sold. Each bar represents the distribution of information provided by the veterinarian when the clients purchase antimicrobials