| Literature DB >> 31452846 |
Ijeoma Okedo-Alex1, Ugochukwu C Madubueze1, Chukwuma D Umeokonkwo1,2, Onyinyechukwu U Oka1,2, Azuka S Adeke1,2, Kingsley C Okeke1.
Abstract
Background: Antimicrobial resistance presents a growing concern worldwide. Medical students are potential antimicrobial prescribers and stewards following graduation as doctors. The aim of this study was to assess the knowledge regarding antibiotic use and resistance among pre-final year and final year medical school students of Ebonyi State University, Nigeria.Entities:
Keywords: Nigeria; antibiotic use and resistance; knowledge; medical students; practice
Year: 2019 PMID: 31452846 PMCID: PMC6698627 DOI: 10.4314/mmj.v31i2.5
Source DB: PubMed Journal: Malawi Med J ISSN: 1995-7262 Impact factor: 0.875
Socio-demographic characteristic of respondents
| Variable | Frequency(n=184) | Percentage (%) |
| Gender | ||
| Male | 115 | 62.5 |
| Female | 69 | 37.5 |
| Age group (years) | ||
| 20–24 | 38 | 20.7 |
| 25–29 | 126 | 68.5 |
| 30–34 | 16 | 8.7 |
| 35–39 | 4 | 2.1 |
| Mean age 26.5±2.76 | ||
| Class of study | ||
| 5th year | 72 | 39.1 |
| 6th year | 112 | 60.9 |
Knowledge of antimicrobial resistance among the respondents
| Variable | Frequency(n=184) | Percentage(%) |
| Indiscriminate use of | ||
| True | 177 | 96.2 |
| False | 7 | 3.8 |
| If antimicrobials are taken | ||
| True | 141 | 76.6 |
| False | 43 | 23.4 |
| Bacteria cause common | ||
| True | 72 | 39.1 |
| False | 112 | 60.9 |
| Antimicrobial resistance is | ||
| True | 181 | 98.4 |
| False | 3 | 1.6 |
| Ineffective treatment can | ||
| True | 178 | 96.7 |
| False | 6 | 3.3 |
| Would like more education | ||
| Yes | 160 | 87.0 |
| No | 24 | 13.0 |
Proportion of respondent with good knowledge of AMR and antibiotic usage
| Variable | Frequency(n=184) | Percentage |
| Knowledge status | ||
| Good knowledge | 119 | 64.7 |
| Poor knowledge | 65 | 35.3 |
| Practice status | ||
| Good practice | 103 | 56.0 |
| Bad practice | 81 | 44.0 |
Factors associated with knowledge of antimicrobial resistance
| Variable | Knowledge Status(n=184) | Chi | P-value | ||
| Good | Poor | ||||
| Sex | |||||
| Male | 81 (70.4) | 34 (29.6) | 4.455 | 0.035 | |
| Female | 38 (55.1) | 31 (44.9) | |||
| Age group (years) | |||||
| 20–24 | 22 (57.9) | 16 (42.1) | 1.967 | 0.579 | |
| 25–29 | 83 (65.9) | 43 (34.1) | |||
| 30–34 | 12 (75.0) | 4 (25.0) | |||
| =>35 | 2 (50.0) | 2 (50.0) | |||
| Class of Study | |||||
| 5th year | 41 (56.9) | 31 (43.1) | 3.093 | 0.079 | |
| 6th year | 78 (69.6) | 34 (30.4) | |||
Statistically significant
Factors associated with antibiotic usage practices
| Variable | Practice | Chi | p-value | |
| Good | Bad | |||
| Sex | ||||
| Male | 64 (55.7) | 51 (44.3) | 0.013 | 0.908 |
| Female | 39 (56.5) | 30 (43.5) | ||
| Age group (years) | ||||
| 20–24 | 20 (52.6) | 18 (47.4) | 2.350 | 0.503 |
| 25–29 | 74 (58.7) | 52 (41.3) | ||
| 30–34 | 8 (50.0) | 8 (50.0) | ||
| =>35 | 1 (25.0) | 3 (75.0) | ||
| Class of Study | ||||
| 5th year | 52 (72.2) | 20 (27.8) | 12.666 | <0.001 |
| 6th year | 51 (45.5) | 61 (54.5) | ||
| Knowledge status | ||||
| Good knowledge | 71 (59.7) | 48 (40.3) | 1.857 | 0.173 |
| Poor knowlegde | 32 (49.2) | 33 (50.8) | ||
Statistically significant