| Literature DB >> 34504704 |
Azmach Dache1, Aregahegn Dona1, Amanuel Ejeso2.
Abstract
OBJECTIVES: The aim of this study was to assess the inappropriate use of antibiotics, its reasons and contributing factors among communities of Yirgalem town, Sidama regional state, Ethiopia.Entities:
Keywords: Ethiopia; Inappropriate use; antibiotics
Year: 2021 PMID: 34504704 PMCID: PMC8422824 DOI: 10.1177/20503121211042461
Source DB: PubMed Journal: SAGE Open Med ISSN: 2050-3121
Socio-demographic characteristics of the respondents, Yirgalem town, Sidama regional state, Ethiopia, 2019.
| Variables and categories ( | Frequency | Percentage |
|---|---|---|
| Age in years | ||
| 18–24 | 103 | 18.0 |
| 25–34 | 227 | 40.0 |
| 35–44 | 119 | 21.0 |
| Above 44 | 119 | 21.0 |
| Sex | ||
| Male | 253 | 44.5 |
| Female | 315 | 55.5 |
| Marital status | ||
| Single | 182 | 32.1 |
| Married | 353 | 62.1 |
| Others[ | 33 | 5.8 |
| Religion status | ||
| Protestant | 340 | 59.8 |
| Muslim | 155 | 27.3 |
| Orthodox | 73 | 12.9 |
| Educational status | ||
| Unable to read and write | 8 | 1.5 |
| Able to read and write | 61 | 10.7 |
| Primary education | 179 | 31.5 |
| Secondary education | 184 | 32.4 |
| Tertiary education | 136 | 23.9 |
| Ethnicity | ||
| Sidama | 348 | 61.3 |
| Oromo | 62 | 10.9 |
| Amhara | 78 | 13.7 |
| Gurage | 67 | 11.8 |
| Others[ | 13 | 2.3 |
| Occupation | ||
| Unemployed | 186 | 32.7 |
| Employed | 382 | 67.3 |
| Family size | ||
| 1–2 families | 87 | 15.3 |
| 3–5 families | 389 | 68.5 |
| >5 families | 92 | 16.2 |
Divorced and separated.
Silte and Wolaita.
Place of receiving modern healthcare services and types of antibiotics used by respondents, Yirgalem town, Sidama regional state, Ethiopia, 2019.
| Variables ( | Frequency | Percentage |
|---|---|---|
| Place of receiving modern healthcare services | ||
| Public health facility | 455 | 80.2 |
| Pharmacy/drug store | 13 | 2.2 |
| Private clinic | 62 | 10.9 |
| NGO | 38 | 6.7 |
| Self perceived waiting time in healthcare facilities | ||
| <1 h | 112 | 19.7 |
| 1–2 h | 375 | 66.0 |
| >2 h | 81 | 14.3 |
| Treated yourself with antibiotics | ||
| Yes | 215 | 37.9 |
| No | 353 | 62.1 |
| Self-medication antibiotics used the past 1 year | ||
| Amoxicillin | 115 | 53.4 |
| Metronidazole | 64 | 29.8 |
| Doxycycline | 12 | 5.6 |
| Cloxacillin | 11 | 5.2 |
| Others[ | 13 | 6 |
| On that occasion, antibiotics from a doctor or nurse | ||
| Yes | 353 | 62.1 |
| No | 215 | 37.9 |
| Advice from a doctor, nurse or pharmacist on how to take | ||
| Yes | 353 | 62.1 |
| No | 215 | 37.9 |
NGO: non-governmental organization.
Tetracycline and ampicillin.
Antibiotics use characteristics of respondents and where people obtained the antibiotics Yirgalem town, Sidama regional state, Ethiopia, 2019.
| Variables ( | Frequency | Percentage |
|---|---|---|
| Source of the antibiotics | ||
| Medical store or pharmacy | 527 | 92.8 |
| Stall or hawker | 24 | 4.2 |
| Friend or family member | 10 | 1.8 |
| Saved up from a previous time | 7 | 1.2 |
| Advised by somebody to use self-medication | ||
| Yes | 63 | 29.4 |
| No | 152 | 70.6 |
| Advice about self-medication from: | ||
| A relative | 17 | 27.0 |
| Colleague | 21 | 33.3 |
| Neighbor | 25 | 39.7 |
| Ever experienced similar disease/symptoms | ||
| Yes | 295 | 51.9 |
| No | 273 | 48.1 |
| Main reason(s) for self-medication | ||
| Long delays in health facility | 99 | 46.1 |
| Cost-cutting | 13 | 6 |
| Busy day’s program | 90 | 41.8 |
| Previous experience of the same symptoms | 13 | 6 |
Figure 1.Common complaints of respondents for which antibiotics had been taken in community of Yirgalem town, Sidama regional state, Ethiopia, 2019.
Bivariate and multivariate analysis of factors associated with inappropriate antibiotic among study participants, Yirgalem town, Sidama regional state, Ethiopia, 2019.
| Variables ( | Inappropriate | Crude OR (95% CI) | Adjusted OR (95% CI) | |
|---|---|---|---|---|
| Yes | No | |||
| Age groups in years | ||||
| 18–24 | 18 | 85 | 1 | 1 |
| 25–34 | 120 | 107 | 5.29 (2.99–9.37) | 2.89 (1.43, 5.84) |
| 35–44 | 64 | 55 | 5.49 (2.94–10.24) | 1.97 (0.84, 4.61) |
| Above 44 | 13 | 106 | 0.57 (0.26–1.24) | 0.20 (0.07, 1.55) |
| Sex | ||||
| Female | 82 | 233 | 1 | 1 |
| Male | 133 | 120 | 3.14 (2.21–4.48) | 1.90 (1.20, 3.02) |
| Marital status | ||||
| Single | 60 | 122 | 1 | 1 |
| Married | 150 | 203 | 1.50 (1.03–2.18) | 1.60 (0.90, 2.84) |
| Others | 5 | 28 | 0.36 (0.13–0.98) | 1.23 (0.36, 4.24) |
| Occupation status | ||||
| Unemployed | 29 | 157 | 1 | 1 |
| Employed | 186 | 196 | 5.13 (3.29–8.01) | 3.45 (1.98, 6.02) |
| Family size | ||||
| 1–2 families | 10 | 77 | 1 | 1 |
| 3–5 families | 155 | 234 | 5.10 (2.56–10.16) | 4.87 (0.86, 10.91) |
| >5 families | 50 | 42 | 9.16 (4.21–19.9) | 8.92 (3.56, 22.38) |
| Waiting time at outpatient department | ||||
| <1 h | 25 | 87 | 1 | 1 |
| 1–2 h | 144 | 231 | 2.16 (1.32–3.54) | 2.34 (0.76, 4.41) |
| >2 h | 46 | 35 | 4.57 (2.44–8.54) | 4.87 (2.17, 10.91) |
| Place of healthcare use | ||||
| Public health institute | 147 | 308 | 1 | 1 |
| Private pharmacy | 5 | 8 | 1.31 (0.42–4.07) | 1.39 (0.35, 5.42) |
| Private clinics | 38 | 24 | 3.31 (1.91–5.73) | 2.54 (1.20, 5.36) |
| NGO | 25 | 13 | 4.02 (2.00–8.10) | 2.08 (0.82, 5.24) |
| Experienced with similar symptom | ||||
| No | 59 | 214 | 1 | 1 |
| Yes | 156 | 139 | 4.07 (2.81–5.88) | 3.02 (1.89, 4.83) |
OR: odds ratio; NGO: non-governmental organization; CI: confidence interval.
p < 0.05; **p < 0.01.