| Literature DB >> 28154667 |
Oluwole Adeyemi Babatunde1, Joseph Olusesan Fadare2, Olujide John Ojo1, Kabir Adekunle Durowade3, Oladele Ademola Atoyebi4, Paul Oladapo Ajayi1, Temitope Olaniyan1.
Abstract
INTRODUCTION: Inappropriate self-medication results in wastage of resources, resistance to pathogen and generally entails serious health hazard. This study was undertaken to determine the knowledge, practice and reasons for practice of self-medication among health workers in a Nigerian tertiary institution.Entities:
Keywords: Self-medication; adverse drug reactions; healthcare workers; hospital
Mesh:
Year: 2016 PMID: 28154667 PMCID: PMC5267862 DOI: 10.11604/pamj.2016.24.312.8146
Source DB: PubMed Journal: Pan Afr Med J
Socio demographic characteristics of respondents
| Variable | Frequency | Percent |
|---|---|---|
| < 30 years | 119 | (39.0) |
| 30 - 39 years | 158 | (51.8) |
| 40 - 49 years | 24 | (7.9) |
| ≥ 50 years | 4 | (1.3) |
| Male | 158 | (51.8) |
| Female | 147 | (48.2) |
| Married | 188 | (61.6) |
| Single | 111 | (36.4) |
| Widowed | 4 | (1.3) |
| Divorced | 2 | (0.7) |
| Yoruba | 272 | (89.2) |
| Hausa | 13 | (4.3) |
| Ibo | 18 | (5.9) |
| Others | 2 | (0.7) |
| Christianity | 271 | (88.9) |
| Islam | 23 | (7.5) |
| Traditional | 4 | (1.3) |
| Others | 7 | (2.3) |
| None | 7 | (2.3) |
| Primary | 8 | (2.6) |
| Secondary | 35 | (11.5) |
| Tertiary | 255 | (83.6) |
Cross tabulation of socio-demographic characteristics and knowledge of self-medication
| Knowledge Score | ||
|---|---|---|
| Poor (%) | Good (%) | |
| Male | 87 (55.1) | 71 (49.9) |
| Female | 74 (50.3) | 73 (49.7) |
| χ2=0.628, df=1, Pvalue = 0.409 | ||
| Married | 108 (57.4) | 80 (42.6) |
| Single | 49 (44.1) | 62 (55.9) |
| Widowed | 3 (75.0) | 1 (25.0) |
| Divorced | 1 (50.0) | 1 (50.0) |
| χ2= 5.763, df=3, Pvalue = 0.124 | ||
| Yoruba | 143 (52.2) | 131 (47.8) |
| Hausa | 10 (76.9) | 3 (23.1) |
| Ibo | 8 (44.4) | 10 (55.6) |
| χ2=3.581, df=2, Pvalue = 0.167 | ||
| Christianity | 138 (50.9) | 133 (49.1) |
| Islam | 16 (69.6) | 7 (30.4) |
| Traditional | 7 (63.6) | 4 (36.4) |
| χ2= 3.495, df=2, Pvalue = 0.174 | ||
| None | 6 (85.7) | 1 (14.3) |
| Primary | 8 (100) | 0 (0) |
| Secondary | 29 (82.9) | 6 (17.1) |
| Tertiary | 118 (46.3) | 137 (53.7) |
| χ2=27.238, df=3, Pvalue = 0.000 | ||
| < 30 years | 73 (61.3) | 46 (38.7) |
| 30 - 39 years | 72 (45.6) | 86 (54.4) |
| 40 - 49 years | 92 (55.1) | 75 (44.9) |
| More than 50 | 4 (100) | 0 (0) |
| χ2= 10.451, df=3, Pvalue = 0.015 | ||
Practice of Self-medication
| Variable | Frequency | (Percent) | |
|---|---|---|---|
| Yes | 159 | (52.1) | |
| No | 146 | (47.9) | |
| None | 188 | (61.6) | |
| 1 - 3 | 97 | (31.8) | |
| 4 - 6 | 17 | (5.6) | |
| ≥ 7 | 3 | (1.0) | |
| Yes | 138 | (45.2) | |
| No | 167 | (54.8) | |
| Not Applicable | 205 | (67.2) | |
| 1 - 3 | 84 | (27.5) | |
| 4 - 6 | 10 | (3.3) | |
| ≥ 7 | 6 | (2.0) | |
| Yes | 76 | (24.9) | |
| No | 229 | (75.1) | |
| Yes | 122 | (40.0) | |
| No | 183 | (60.0) | |
| Within last 3month | 104 | (34.1) | |
| Within last 12 month | 113 | (37.0) | |
| Never | 88 | (28.9) | |
| Analgesic | 187 | (38.2) | |
| Anti malaria | 65 | (13.3) | |
| Antibiotics | 93 | (19.0) | |
| Others | 144 | (29.4) | |
| Yes | 41 | (13.4) | |
| No | 163 | (53.4) | |
| No response | 101 | (33.1) | |
Figure 1Reasons for self medication