| Literature DB >> 34203812 |
Md Abul Kalam1, Md Abdul Alim2, Shahanaj Shano3,4, Md Raihan Khan Nayem2, Md Rahim Badsha5, Md Abdullah Al Mamun2, Ashraful Hoque2, Abu Zubayer Tanzin2, Shahneaz Ali Khan2, Ariful Islam3,4,6, Md Mazharul Islam7, Mohammad Mahmudul Hassan2.
Abstract
Poultry production has boomed in Bangladesh in recent years. The poultry sector has contributed significantly to meet the increased demand for animal source proteins in the country. However, increased use of antimicrobials appeared to be a significant threat to food safety in the poultry sector. The poultry drug and feed sellers are at the frontline position involving selecting and delivering the antimicrobials to the poultry farmers. Studies assessing the poultry drug and feed sellers' knowledge, attitudes, and practices (KAPs) are limited. The current study aimed to assess the community poultry drug and feed sellers' KAPs of antimicrobial use (AMU) and antimicrobial resistance (AMR) in some selected areas of Bangladesh. We determined the respondents' (drug and the feed sellers) KAPs of AMU and AMR using a tested and paper-based questionnaire. The study demonstrated that most respondents have insufficient knowledge, less positive attitudes, and inappropriate practices regarding AMU and AMR. The factor score analysis further showed that the type of respondents and their years of experience, level of education, and training on the drug were the significant factors impacting the current knowledge, attitudes, and practices of AMU and AMR. The adjusted logistic regression analysis revealed that the drug sellers who completed their education up to 12th grade and had training on the drug had adequate knowledge of AMU and AMR. The data also showed that the drug sellers belong to the age group 31-35 and 36-40 years and who completed 12th grade had good attitudes on the same. Likewise, the analysis further determined that drug sellers belonging to the age category 18-25 and 26-30 years, and interestingly, the respondents who completed education up to 12th grade, had better practices. Spearman's rank-order correlation revealed a positive association between each pair of the KAPs scores for the respondents. The correlation was fair between knowledge-attitudes, knowledge-practices, and attitudes-practices. Based on the current study results, we recommend educational interventions and appropriate training for the poultry drug and feed sellers to raise awareness and to upgrade their current knowledge on the appropriate use of antimicrobials. This will ultimately lead to reducing the chances of developing AMR in the poultry sectors of the country.Entities:
Keywords: antimicrobial resistance; antimicrobial use; attitude; knowledge; poultry drug seller; poultry feed seller; practice
Year: 2021 PMID: 34203812 PMCID: PMC8232782 DOI: 10.3390/vetsci8060111
Source DB: PubMed Journal: Vet Sci ISSN: 2306-7381
Figure 1Map depicting the studied district (color: pinkish) and Upazila (smallest administrative boundaries; color: yellowish) of Bangladesh.
Demographic characteristics of the poultry drug and feed sellers.
| Variables | ||
|---|---|---|
| Type of respondents | Drug sellers | 110 (50.0) |
| Feed sellers | 110 (50.0) | |
| Age (Years) | Minimum–25 | 23 (10.5) |
| 26–30 | 42 (19.1) | |
| 31–35 | 63 (28.6) | |
| 36–40 | 35 (15.9) | |
| 41 or more | 57 (25.9) | |
| Years of experience (Years) | 0–4 | 25 (11.4) |
| 5–8 | 96 (43.6) | |
| 9–12 | 79 (35.9) | |
| 13 or more | 20 (9.1) | |
| Level of Education | Graduate | 95 (43.2) |
| Up to 12th grade | 125 (56.8) | |
| Training on drug | Non-trained | 113 (51.4) |
| Trained | 107 (48.6) | |
Figure 2Comparative scenario of major antimicrobials practices by poultry drug and feed sellers.
Figure 3Knowledge, attitudes, and practices related to antimicrobial use (AMU) and antimicrobial resistance (AMR). * p-value < 0.05.
Test of statistical significance of variation in the respondents’ knowledge on AMU and AMR by their characteristics.
| Variables | Knowledge | Attitudes | Practices | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Incorrect: | Correct: |
| Negative: | Positive: |
| Bad: | Good: |
| ||
| Type of respondent | Drug sellers | 45 (40.9) | 65 (59.1) | 0.000 | 27 (24.6) | 83 (75.4) | 0.000 | 33 (30) | 77 (70) | 0.000 |
| Feed sellers | 72 (65.4) | 38 (34.6) | 84 (76.4) | 26 (23.6) | 84 (76.4) | 26 (23.6) | ||||
| Age (years) | Minimum–25 | 12 (52.2) | 11 (47.8) | 0.074 | 14 (60.9) | 9 (39.1) | 0.047 | 11 (47.8) | 12 (52.2) | 0.077 |
| 26–30 | 21 (50.0) | 21 (50.0) | 24 (57.1) | 18 (42.9) | 17 (40.5) | 25 (59.5) | ||||
| 31–35 | 42 (66.7) | 21 (33.3) | 28 (44.4) | 35 955.6) | 37 (58.7) | 26 (41.3) | ||||
| 36–40 | 13 (37.1) | 22 (62.9) | 11 (31.43) | 24 (68.6) | 15 (42.9) | 20 (57.1) | ||||
| 41 or more | 29 (50.9) | 28 (49.1) | 34 (59.6) | 23 (40.4) | 37 (64.9) | 20 (35.1) | ||||
| Years of experience | 0–4 | 20 (80.0) | 5 (20.0) | 0.000 | 16 (64.0) | 9 (36.0) | 0.078 | 18 (72.0) | 7 (28.0) | 0.028 |
| 5–8 | 61 (63.5) | 35 (36.5) | 53 (55.2) | 43 (44.8) | 56 (58.3) | 40 (41.7) | ||||
| 9–12 | 29 (36.7) | 50 (63.3) | 36 (45.6) | 43 (54.4) | 36 (45.6) | 43 (54.4) | ||||
| 13 or more | 7 (35.0) | 13 (65.0) | 6 (30.0) | 14 (70.0) | 7 (35.0) | 13 (65.0) | ||||
| Level of Education | Graduate | 65 (68.4) | 30 (31.6) | 0.000 | 59 (62.1) | 36 (37.9) | 0.003 | 60 (63.2) | 35 (36.8) | 0.673 |
| Up to 12th grade | 52 (41.6) | 73 (58.4) | 52 (41.6) | 73 (58.4) | 57 (45.6) | 68 (54.4) | ||||
| Training on drug | Non-trained | 76 (67.3) | 37 (32.7) | 0.000 | 57 (50.4) | 54 (50.5) | 0.997 | 60 (53.1) | 53 (46.9) | 0.979 |
| Trained | 41 (38.3) | 66 (61.7) | 56 (49.5) | 53 (49.5) | 57 (53.3) | 50 (46.7) | ||||
Logistic regression analysis of the factors associated with respondents’ knowledge, attitudes, and practices on AMU and AMR.
| Variables | Knowledge | Attitudes | Practices | |
|---|---|---|---|---|
| OR, 95%CI, | OR, 95%CI, | OR, 95%CI, | ||
| Type of respondents | Feed sellers | Ref | Ref | Ref |
| Drug sellers | 5.20, 2.5–11.0, 0.000 | 26.71, 10.5–68.0, 0.000 | 14.16, 6.33–31.66, 0.000 | |
| Age (Years) | 41 or more | Ref | Ref | Ref |
| 18–25 | 1.33, 0.42–4.22, 0.633 | 1.20, 0.30–4.71, 0.797 | 4.73, 1.33–16.85, 0.017 | |
| 26–30 | 1.24, 0.48–3.23, 0.658 | 1.52, 0.53–4.3, 0.435 | 5.85, 2.03–16.87, 0.001 | |
| 31–35 | 0.63, 0.25–1.56, 0.318 | 3.72, 1.42–9.72, 0.007 | 2.12, 0.84–5.36, 0.298 | |
| 36–40 | 1.26, 0.43–3.72, 0.672 | 4.59, 1.31–16.08, 0.017 | 2.58, 0.84–7.97, 0.098 | |
| Experience(Years) | 0–4 | Ref | Ref | Ref |
| 5–8 | 1.79, 0.54–5.93, 0.339 | 0.74, 0.24–2.31, 0.608 | 1.38, 0.45–4.21, 0.571 | |
| 9–12 | 3.78, 1.07–13.32, 0.039 | 0.64, 0.18–2.29, 0.493 | 1.80, 0.536.13, 0.348 | |
| 13 or more | 3.23, 0.68–15.46, 0.142 | 1.60, 0.30–8.55, 0.578 | 2.89, 0.58–14.38, 0.196 | |
| Level of Education | Graduate | Ref | Ref | Ref |
| Up to 12th grade | 4.88, 2.42–9.85, 0.000 | 7.80, 3.25–18.68, 0.000 | 3.68, 1.76–7.68, 0.001 | |
| Training on drug | Not trained | Ref | Ref | Ref |
| Trained | 5.22, 2.52–10.81, 0.000 | 1.93, 0.90–4.15, 0.093 | 1.47, 0.72–2.98, 0.291 | |
Correlations between knowledge, attitudes, and practices on AMU and AMR.
| Variables | Correlation Coefficient | |
|---|---|---|
| Knowledge–Attitudes | 0.4731 | 0.000 |
| Knowledge–Practice | 0.3610 | 0.000 |
| Attitudes–Practices | 0.3456 | 0.000 |