| Literature DB >> 34859224 |
Salvador Gabriel1, Loyce Manumbu1, Omary Mkusa1, Manase Kilonzi2, Alphonce Ignace Marealle2, Ritah F Mutagonda2, Hamu J Mlyuka2, Wigilya P Mikomangwa2, Omary Minzi2.
Abstract
BACKGROUND: Studies assessing consumers' knowledge of the rational use of antibiotics are essential to understand the knowledge gap before intervention strategies are instituted.Entities:
Year: 2021 PMID: 34859224 PMCID: PMC8634462 DOI: 10.1093/jacamr/dlab183
Source DB: PubMed Journal: JAC Antimicrob Resist ISSN: 2632-1823
Demographic characteristics of the respondents and area of recruitment (n = 960)
| Variables |
|
|---|---|
| Gender | |
| Male | 466 (48.5) |
| Female | 494 (51.5) |
| Age | |
| 18–35 | 539 (56.1) |
| 36–55 | 333 (34.7) |
| >55 | 88 (9.2) |
| Marital status | |
| Married | 559 (58.2) |
| Unmarried | 401 (41.8) |
| Residence | |
| Urban | 736 (76.7) |
| Semi-urban | 224 (23.3) |
| Employment | |
| Self-employed | 457 (47.6) |
| Employed | 278 (29.0) |
| Unemployed | 225 (23.4) |
| Education level | |
| Primary | 344 (35.8) |
| Secondary | 328 (34.2) |
| Tertiary | 288 (30.0) |
| Health insurance status | |
| Yes | 392 (40.8) |
| No | 568 (59.2) |
| Place of recruitment | |
| Community | 320 (33.3) |
| Public hospitals | 320 (33.3) |
| Private hospitals | 320 (33.3) |
Consumers’ knowledge of the uses of antibiotics (n = 960)
| Variable |
|
|---|---|
| Do you think it is good to use the same antibiotic if a friend or family member used it to treat the same symptom or disease before? | |
| Yes | 406 (42.3) |
| No | 517 (53.8) |
| I don’t know | 37 (3.9) |
| Do you think it is good to ask/request the same antibiotic if it helped you treat the same symptoms/disease previously? | |
| Yes | 515 (53.6) |
| No | 429 (44.7) |
| I don’t know | 16 (1.7) |
| When do you think you should stop taking antibiotics once you have started treatment? | |
| When I finish the dose as directed | 678 (70.6) |
| When I feel better | 251 (26.2) |
| I don’t know | 31 (3.2) |
| Overall knowledge | |
| Good | 196 (20.4) |
| Poor | 764 (79.6) |
Figure 1.Response of the respondents on conditions that are treatable using antibiotics (n = 960).
Determinants of consumers’ knowledge of the uses of antibiotics (n = 960)
| Variables | cOR (95% CI) |
| aOR (95% CI) |
|
|---|---|---|---|---|
| Gender | ||||
| Male | 0.98 (0.72–1.33) | 0.89 | 1 (0.75–1.44) | 0.79 |
| Female | 1 | 1 | ||
| Age | ||||
| 18–35 | 0.5 (0.22–1.03) | 0.06 | 1.84 (0.81–4.16) | 0.14 |
| 36–55 | 1.5 (1.06–2.13) | 0.02 | 1.2 (0.80–1.82) | 0.38 |
| >55 | 1 | 1 | ||
| Marital status | ||||
| Married | 1.2 (0.88–1.65) | 0.25 | 1.1 (0.77–1.58) | 0.58 |
| Unmarried | 1 | 1 | ||
| Residence | ||||
| Urban | 1 (0.72–1.52) | 0.81 | 1.1 (0.93–1.59) | 0.72 |
| Semi-urban | 1 | 1 | ||
| Employment | ||||
| Self employed | 1 | 1 | ||
| Employed | 1.2 (0.72–1.85) | 0.55 | 1.5 (0.93–2.50) | 0.1 |
| Unemployed | 1.6 (1.12–2.44) | 0.01 | 1.5 (1.03–2.33) | 0.04 |
| Education level | ||||
| Primary | 1.09 (0.72–1.64) | 0.68 | 1.2 (0.76–2.04) | 0.4 |
| Secondary | 1.6 (1.08–2.33) | 0.02 | 1.5 (1.01–2.38) | 0.04 |
| Tertiary | 1 | 1 | ||
| Health insurance status | ||||
| Yes | 1.2 (0.90–1.70) | 0.19 | 0.9 (0.64–1.39) | 0.76 |
| No | 1 | 1 | ||
| Place of recruitment | ||||
| Community | 1.3 (0.92–1.90) | 0.14 | 1.7 (0.82–1.82) | 0.34 |
| Public hospitals | 2.12 (1.37–3.25) | 0.001 | 1.92 (1.21–3.04) | 0.005 |
| Private hospitals | 1 | 1 | ||
cOR, crude OR; aOR, adjusted OR.
Determinants of good knowledge of conditions that are treatable with antibiotics among consumers of antibiotics (n = 960)
| Variables | cOR (95% CI) |
| aOR (95% CI) |
|
|---|---|---|---|---|
| Gender | ||||
| Male | 0.88 (0.68–1.14) | 0.35 | 0.84 (0.64–1.09) | 0.19 |
| Female | 1 | 1 | ||
| Age | ||||
| 18–35 | 1.98 (1.23–3.19) | 0.01 | 1.57 (0.94–2.63) | 0.09 |
| 36–55 | 1.69 (1.28–2.24) | 0.00 | 1.72 (1.25–2.36) | 0.001 |
| >55 | 1 | 1 | ||
| Marital status | ||||
| Married | 0.64 (0.49–0.83) | 0.001 | 0.75 (0.56–1.01) | 0.05 |
| Unmarried | 1 | 1 | ||
| Residence | ||||
| Urban | 1.06 (0.78–1.43) | 0.72 | 1.05 (0.76–1.44) | 0.77 |
| Semi-urban | 1 | 1 | ||
| Employment | ||||
| Employed | 1.64 (1.15–2.34) | 0.01 | 1.39 (0.95–2.04) | 0.09 |
| Unemployed | 1.17 (0.87–1.59) | 0.28 | 0.97 (0.70–1.35) | 0.88 |
| Self-employed | 1 | 1 | ||
| Education level | ||||
| Primary | 2.01 (1.46–2.76) | 0.00 | 1.77 (1.19–2.61) | 0.004 |
| Secondary | 1.10 (0.79–1.52) | 0.55 | 0.93 (0.65–1.33) | 0.68 |
| Tertiary | 1 | 1 | ||
| Health insurance status | ||||
| Yes | 2.00 (1.54–2.61) | 0.00 | 1.69 (1.24–2.32) | 0.001 |
| No | 1 | 1 | ||
| Place of recruitment | ||||
| Community | 2.17 (1.58–2.98) | 0.00 | 1.67 (1.18–2.36) | 0.004 |
| Public hospitals | 1.65 (1.20–2.26) | 0.002 | 1.46 (1.03–2.08) | 0.03 |
| Private hospitals | 1 | 1 | ||
cOR, crude OR; aOR, adjusted OR.