| Literature DB >> 35668403 |
Nusirat Elelu1,2, Grace Agene1, Fatima Sanusi3, Ahmad Ibrahim Al-Mustapha4,5,6.
Abstract
Antimicrobial resistance is a global public health crisis. However, there is a paucity of data on anti-protozoal resistance (APR), especially in animals. Hence, we assessed the knowledge of prudent antiprotozoal drug usage (APU) and resistance among animal health practitioners (AHPs) in Kwara State, Nigeria.A cross-sectional survey of 435 AHPs was performed in Kwara State from the 5th of March to the 31st of July 2020 using a structured and validated questionnaire. We used logistic regression analysis to identify socio-demographic factors that are associated with the satisfactory perception of prudent APU and good knowledge of APR among AHPs.Our findings showed that 80.2% (n = 349) of the AHPs in Kwara state had a good knowledge of APR with a mean knowledge score of 5.8 ± 1.2. In the same vein, 75.6% (n = 329) of the AHPs had a satisfactory perception of prudent APU with a mean score of 3.84 ± 1.21. Only 10.1% of the AHPs had observed treatment failures after the use of anti-protozoal drugs. Most of the AHPs (75.6%) believed that APR poses a significant threat to animal production and health globally. Logistic regression analysis showed that female AHPs were more likely (OR: 2.17; 95% CI: 0.91, 5.20; p < 0.005) to have better knowledge of APR than their male counterparts. AHPs with tertiary education were likely (OR: 2.77; 95% CI: 0.96, 4.99; p < 0.05) to be more knowledgeable about APR and have satisfactory perceptions of APU (OR: 1.57; 95% CI: 1.16, 2.99; p = 0.07) respectively. Finally, veterinarians were 3.76 times (95% CI:1.26, 9.25; p < 0.001) more likely to have good knowledge of APR and better perceptions of APU (OR: 3.28; 95% CI: 1.89, 5.68; p < 0.001) than other AHPs respectively.To control antimicrobial resistance, continuous training of AHPs especially para-veterinary officers is essential to update their knowledge on prudent antimicrobial usage and prevent the emergence of resistant protozoan parasites.Entities:
Keywords: AHPs; Anti-protozoan resistance; Antimicrobial resistance; Kwara; Nigeria
Mesh:
Substances:
Year: 2022 PMID: 35668403 PMCID: PMC9172141 DOI: 10.1186/s12917-022-03331-3
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.792
Socio-demographic features of AHPs included in this study (n = 435)
| Demographics | Category | Frequency (%) |
|---|---|---|
| Gender | Male | 294 (67.6) |
| Female | 141 (32.4) | |
| Job category | Veterinarian | 172 (39.5) |
| Clinical Year Veterinary Student | 164 (37.7) | |
| Food Animal Producer | 60 (13.8) | |
| Other Animal Health Worker | 39 (9.0) | |
| Age (years) | 18 -29 | 214 (49.2) |
| 30–39 | 128 (29.4) | |
| 40–49 | 57 (13.1) | |
| > 50 | 36 (8.3) | |
| Level of Education | Primary school | 17 (3.9) |
| Secondary school | 3 (0.7) | |
| Tertiary (polytechnics, Universities, etc.) | 403 (92.6) | |
| No formal education | 12 (2.8) |
Fig. 1Knowledge of antiprotozoal use and awareness of resistance among AHPs in Kwara State, (n = 435)
Perception of prudent anti-protozoal usage among AHPs in Kwara State (n = 435)
| Knowledge of Protozoal Drug Prescription and Use in Animal Health | Frequency (%) |
|---|---|
| 1. Does the use of antiprotozoal without prescription promote inappropriate use of antiprotozoal drugs? | |
| No | 88 (20.2) |
| Yes | 347 (79.8) |
| 2. Does poor clinical diagnosis promote inappropriate use of antiprotozoal drugs? | |
| No | 74 (17) |
| Yes | 361 (83) |
| 3. Does inadequate supervision of antiprotozoal use by qualified health workers promote inappropriate use of antiprotozoal drugs? | |
| No | 92 (21.1) |
| Yes | 343 (78.9) |
| 4. Are there any substitutes for these drugs? | |
| No | 231 (53.1) |
| Yes | 204 (46.9) |
Perception of AHPs on antiprotozoal drug prescription and usage (n = 435)
| Variables | Frequency (%) |
|---|---|
| 1. Has there ever been any observed mortality or side effects after usage of any antiprotozoal drugs on animals? | |
| No | 297 (68.3) |
| Yes | 44 (10.1) |
| I don’t know | 99 (21.4) |
| 2. How available are these drugs? | |
| Readily available | 378 (86.9) |
| Scarce | 20 (4.5) |
| 3. How suitable are these drugs for animal usage? | |
| Suitable | 364 (83.7) |
| Not suitable | 2 (0.5) |
| Better options | 33 (7.6) |
| 4. What purpose(s) have these drugs been administered for? | |
| Prophylactic | 232 (53.3) |
| Curative | 177 (40.7) |
| Other purposes | 23 (5.3) |
Knowledge and perception of AHPs on antiprotozoal drug resistance (n = 435)
| Knowledge of APR | Yes (%) | No (%) | I Do not know (%) |
|---|---|---|---|
| 1. Have you heard of antiprotozoal drug resistance? | 349 (80.2) | 86 (19.8) | 0 |
| 2. Does inappropriate use of antiprotozoal drugs put animals at risk? | 368 (84.6) | 67 (15.4) | 0 |
| 3. Do you observe the withdrawal period after the use of anti-protozoal drugs? | 75 (17.2) | 360 (82.8) | 0 |
| 4. Does antiprotozoal drug resistance pose a threat to animal health globally? | 329 (75.6) | 106 (24.4) | 0 |
| 5. Do you think educating people ignorant on the appropriate antiprotozoal drug use will have a positive effect on decreasing the risk of antiprotozoal drug resistance? | 279 (64.1) | 75 (17.2) | 81 (18.6) |
Univariable and multivariable logistic regression analysis of demographic variables that affected the knowledge of APR among AHPs in Kwara state
| Outcome variable | Variable | Baseline category | OR (95% CI) | OR (95% CI) | |||
|---|---|---|---|---|---|---|---|
| Univariable analysis | Multivariable analysis | ||||||
| Knowledge of antiprotozoal resistance among AHPs | Age | 18–29 | 30–39 | 0.47 (0.26, 0.86) | < 0.001 | 0.36 (0.14, 0.96) | < 0.001 |
| 40–49 | 0.21 (0.1091, 0.43) | 0.98 (0.25, 3.82) | |||||
| > 50 | 0.17 (0.0805, 0.3885) | 0.85 (0.18, 2.87) | |||||
| Gender | Male | Female | 1.93 (1.11, 3.36) | < 0.001 | 2.17 (0.91, 5.20) | < 0.001 | |
| Education | Primary/Secondary | Tertiary | 9.58 (6.16, 24.64) | < 0.001 | 2.77 (0.96, 4.99) | < 0.001 | |
| No formal education | 0.55 (0.15, 2.91) | 0.18 (0.026, 0.72) | |||||
| Job description | Other Animal Health Worker | Veterinarian | 1.12 (0.67, 3.39) | < 0.001 | 3.76 (1.26, 9.25) | < 0.001 | |
| Clinical year veterinary students | 1.39 (0.97, 2.89) | 2.37 (0.81, 4.25) | |||||
| Food Animal Producer | 0.03 (0.01, 0.08) | 0.21 (0.072, 0.635) | |||||
Univariable and multivariable logistic regression analysis of demographic variables that affected the perception of prudent antiprotozoal usage among AHPs in Kwara state
| Outcome variable | Variable | Baseline category | OR (95% CI) | OR (95% CI) | |||
|---|---|---|---|---|---|---|---|
| Univariable analysis | Multivariable analysis | ||||||
| Perception of prudent antiprotozoal usage among AHPs | Age | 18–29 | 30–39 | 0.63 (0.38, 1.04) | 0.319 | - | - |
| 40–49 | 0.90 (0.44, 1.81) | ||||||
| > 50 | 0.69 (0.31, 1.54) | ||||||
| Gender | Male | Female | 1.17 (0.71, 1.84) | 0.572 | - | - | |
| Education | Primary/Secondary | Tertiary | 1.29 (1.16, 3.01) | 0.05 | 1.57 (1.16, 2.99) | 0.07 | |
| No formal education | 0.55 (0.15, 1.01) | 0.18 (0.04, 0.72) | |||||
| Job description | Other Animal Health Worker | Veterinarian | 4.79 (2.89, 9.12) | < 0.001 | 3.28 (1.89, 5.68) | < 0.001 | |
| Clinical year veterinary students | 1.39 (0.72, 2.69) | 1.39 (0.74, 2.77) | |||||
| Food Animal Producer | 1.48 (0.67, 3.24) | 0.29 (0.08, 0.97) | |||||