| Literature DB >> 31266492 |
John E Ekakoro1, Marc Caldwell2, Elizabeth B Strand1, Lew Strickland2,3, Chika C Okafor4.
Abstract
BACKGROUND: Inappropriate antimicrobial use (AMU) is a key modifiable factor that leads to the development of antimicrobial resistance (AMR). The objectives of this study were to determine the following among Tennessee beef cattle producers: (1) the opinions on factors driving AMU (2) opinions on alternatives to antimicrobials, (3) the knowledge and perceptions regarding AMU and AMR, and (4) the preferred avenues for receiving information on prudent AMU. A survey questionnaire was made available to participants both in print and online from January 26, 2018 through May 11, 2018. The questions targeted the producers' demographics and their AMU practices; factors driving producer's choice of antimicrobials; perceptions, opinions and concerns about AMU and AMR in cattle production. Ordinal logistic regression was used to test for associations between the captured demographic information and producers' degree of concern about AMR.Entities:
Keywords: Antimicrobial resistance; Antimicrobial use; Survey questionnaires
Mesh:
Substances:
Year: 2019 PMID: 31266492 PMCID: PMC6604443 DOI: 10.1186/s12917-019-1978-6
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Demographics of beef producers on survey to identify antimicrobial use practices, 2018
| Variable | Number (%) of respondents |
|---|---|
| Gender |
|
| Female | 35 (17.5) |
| Male | 163 (81.5) |
| Preferred not to report gender | 2 (1.0) |
| Age group (years) |
|
| < 30 | 12 (6.0) |
| 30–39 | 29 (14.5) |
| 40–49 | 41 (20.5) |
| 50–59 | 44 (22.0) |
| 60–69 | 46 (23.0) |
| > 70 | 28 (14.0) |
| Education level |
|
| < College | 47 (23.3) |
| ≥ College | 155 (76.7) |
| Number of years in cattle production |
|
| < 5 | 23 (11.4) |
| 6–10 | 19 (9.4) |
| 11–15 | 17 (8.4) |
| 16–20 | 24 (11.9) |
| 21–25 | 24 (11.9) |
| 26–30 | 21 (10.4) |
| > 30 | 74 (36.6) |
| Beef cattle operation type |
|
| Cow-calf production | 171 (74.4) |
| Backgrounding-stocking | 9 (3.9) |
| Seed-stock operation | 6 (2.6) |
| Multiple operation type and others | 44 (19.1) |
| Herd size |
|
| 1–49 | 84 (41.6) |
| 50–99 | 54 (26.7) |
| 100–149 | 28 (13.9) |
| 150–199 | 12 (5.9) |
| 200–299 | 13 (6.4) |
| 300–399 | 5 (2.5) |
| 400–499 | 1 (0.5) |
| 500+ | 5 (2.5) |
| Raised on a cattle farm |
|
| Yes | 138 (68.3) |
| No | 64 (31.7) |
Practices of Tennessee beef producers related to antimicrobial use, 2018
| Practice | Cattle operation type (number of respondents) | Number of respondents (Row percentage) | ||
|---|---|---|---|---|
| Yes | Not sure | No | ||
| Farm kept up-to-date written records of antimicrobial drug purchases (208 respondents) | Backgrounding-stocking (9) | 9 (100) | 0 (0) | 0 (0) |
| Cow-calf production (154) | 90 (58) | 17 (11.0) | 47 (31) | |
| Multiple operation type, others (39) | 26 (66.7) | 4 (10.3) | 9 (23.0) | |
| Seed stock operation (6) | 6 (100) | 0 (0) | 0 (0) | |
| Total | 131 (63) | 21 (10.1) | 56 (26.9) | |
| Farm kept written records of medicated feeds purchased in the framework of VFD (201 respondents) | Backgrounding-stocking (9) | 9 (100) | 0 (0) | 0 (0) |
| Cow-calf production (148) | 69 (46.6) | 21 (14.2) | 58 (39.2) | |
| Multiple operation type, others (38) | 25 (65.8) | 2 (5.3) | 11 (28.9) | |
| Seed stock operation (6) | 6 (100) | 0 (0) | 0 (0) | |
| Total | 109 (54.2) | 23 (11.4) | 69 (34.3) | |
| Farm kept up-to-date written records of antimicrobial drugs used to treat animals (209 respondents) | Backgrounding-stocking (9) | 9 (100) | 0 (0) | 0 (0) |
| Cow-calf production (155) | 102 (65.8) | 11 (7.1) | 42 (27.1) | |
| Multiple operation type, others (39) | 28 (71.8) | 3 (7.7) | 8 (20.5) | |
| Seed stock operation (6) | 6 (100) | 0 (0) | 0 (0) | |
| Total | 145 (69.4) | 14 (6.7) | 50 (23.9) | |
| Cattle in the farm were sometimes treated with antimicrobials at dosages higher than the label provision (204 respondents) | Backgrounding-stocking (8) | 0 (0) | 0 (0) | 8 (100) |
| Cow-calf production (151) | 9 (6) | 9 (6) | 133 (88) | |
| Multiple operation type, others (39) | 6 (15.4) | 1 (2.6) | 32 (82) | |
| Seed stock operation (6) | 0 (0) | 0 (0) | 6 (100) | |
| Total | 15 (7.4) | 10 (4.9) | 179 (87.7) | |
| Farm practiced extra-label AMU (201 respondents) | Backgrounding-stocking (8) | 0 (0) | 0 (0) | 8 (100) |
| Cow-calf production (149) | 12 (8) | 12 (8) | 125 (84) | |
| Multiple operation type, others (38) | 7 (18.4) | 1 (2.6) | 30 (79) | |
| Seed stock operation (6) | 0 (0) | 0 (0) | 6 (100) | |
| Total | 19 (9.4) | 13 (6.5) | 169 (84.1) | |
| Farm had written protocols for treating sick animals with antimicrobials (199 respondents) | Backgrounding-stocking (8) | 2 (26) | 0 (0) | 6 (75) |
| Cow-calf production (147) | 22 (15) | 6 (4.0) | 119 (81) | |
| Multiple operation type, others (38) | 9 (23.7) | 4 (10.5) | 25 (65.8) | |
| Seed stock operation (6) | 3 (50) | 0 (0) | 3 (50) | |
| Total | 36 (18.1) | 10 (5) | 153 (76.9) | |
Univariable analyses for associations between various demographic predictors and Tennessee beef producers’ degree of concern about antimicrobial resistant infections, 2018
| Variable | Category | OR (95% CI) | |
|---|---|---|---|
| Gender | Male vs Female | 1.2 (0.5–2.4) | 0.726 |
| Raised on a cattle farm | Yes vs No | 1.3 (0.7–2.3) | 0.461 |
| Herd size | †Overall | ─ | 0.393 |
| 50–99 vs 0–49 | 1.6 (0.8–3.2) | 0.193 | |
| 50–99 vs ≥ 100 | 1.5 (0.7–3.3) | 0.285 | |
| ≥ 100 vs 0–49 | 1.1 (0.5–2.1) | 0.890 | |
| Education level | < College vs ≥ College | 1.5 (0.8–3) | 0.218 |
| Age | †Overall | ─ | 0.019 |
| 30–39 vs 40–49 | 3.3 (1.2–8.9) | 0.021 | |
| 30–39 vs 50–59 | 4.4 (1.7–11.9) | 0.003 | |
| 30–39 vs 60–69 | 4.3 (1.6–11.5) | 0.004 | |
| 30–39 vs > 70 | 6.3 (2–19.8) | 0.009 | |
| 30–39 vs < 30 | 1.9 (0.5–7.6) | 0.375 | |
| 40–49 vs 50–59 | 1.4 (0.6–3.3) | 0.490 | |
| 40–49 vs 60–69 | 1.3 (0.6–3.2) | 0.538 | |
| 40–49 vs > 70 | 1.9 (0.7–5.5) | 0.215 | |
| < 30 vs 40–49 | 1.7 (0.4–6.7) | 0.426 | |
| 60–69 vs 50–59 | 1 (0.4–2.4) | 0.936 | |
| 50–59 vs > 70 | 1.4 (0.5–3.9) | 0.499 | |
| < 30 vs 50–59 | 2.4 (0.6–9) | 0.205 | |
| 60–69 vs > 70 | 1.5 (0.5–4) | 0.456 | |
| < 30 vs 60–69 | 2.3 (0.6–8.7) | 0.223 | |
| < 30 vs > 70 | 3.4 (0.8–14.3) | 0.101 | |
| Number of years in cattle farming | †Overall | ─ | 0.188 |
| 6–10 vs < 5 | 2.3 (0.6–8.1) | 0.208 | |
| 6–10 vs 11–15 | 3.8 (1–14.3) | 0.052 | |
| 6–10 vs 16–20 | 1.4 (0.4–5) | 0.574 | |
| 6–10 vs 21–25 | 0.8 (0.2–2.9) | 0.761 | |
| 6–10 vs 26–30 | 1.7 (0.5–6.2) | 0.429 | |
| 6–10 vs > 30 | 2.4 (0.8–7) | 0.107 | |
| 11–15 vs < 5 | 0.6 (0.2–2.1) | 0.428 | |
| 11–15 vs 16–20 | 0.4 (0.1–1.3) | 0.132 | |
| 11–15 vs 21–25 | 0.2 (0.1–0.8) | 0.018 | |
| 11–15 vs 26–30 | 0.5 (0.1–1.6) | 0.225 | |
| 11–15 vs > 30 | 0.6 (0.2–1.8) | 0.408 | |
| 16–20 vs < 5 | 1.6 (0.5–5.2) | 0.451 | |
| 16–20 vs 21–25 | 0.6 (0.2–1.9) | 0.354 | |
| 16–20 vs 26–30 | 1.2 (0.3–4) | 0.792 | |
| 16–20 vs > 30 | 1.7 (0.6–4.4) | 0.292 | |
| 21–25 vs < 5 | 2.8 (0.8–9) | 0.096 | |
| 21–25 vs 26–30 | 2.1 (0.6–6.9) | 0.248 | |
| 21–25 vs > 30 | 2.9 (1.1–7.8) | 0.031 | |
| 26–30 vs < 5 | 1.3 (0.4–4.6) | 0.641 | |
| 26–30 vs > 30 | 1.4 (0.5–4) | 0.493 | |
| > 30 vs < 5 | 0.9 (0.4–2.5) | 0.897 | |
| Cattle operation type | Cow-calf vs Multiple operation and others | 1.2 (0.6–2.5) | 0.581 |
†Overall = overall effect of predictor on outcome variable