| Literature DB >> 34394269 |
Joyeuse Ukwishaka1, Christian Umuhoza1,2, Peter Cartledge1,2,3, Natalie McCall1,2,3.
Abstract
BACKGROUND: Self-medication, a worldwide practice, has both benefits and risks. Many countries have regulated non-prescription medications available for use in self-medication. However, in countries such as Rwanda, where prescriptions are not required to purchase medications, prescription, non-prescription and traditional medications have been used for self-medication.Entities:
Keywords: Nonprescription Drugs; Rwanda; Self-medication; caregivers; children; medicines; parents
Mesh:
Substances:
Year: 2020 PMID: 34394269 PMCID: PMC8351863 DOI: 10.4314/ahs.v20i4.61
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 0.927
Figure 1Consort flow diagram (n=number of respondents, N=Number of participants)
Participant demographics
| Item | Classification | Frequency | Percentage |
| Private | 51 | 33.1% | |
| Public | 103 | 66.9% | |
| Kigali | 92 | 59.7% | |
| Outside Kigali | 62 | 40.3% | |
| Mother | 133 | 86.4% | |
| Other | 21 | 13.6% | |
| Married | 145 | 94.2% | |
| Single (+ Separated, Widowed) | 9 | 5.8% | |
| ≤30 | 60 | 39% | |
| >30 | 94 | 61% | |
| Advanced | 77 | 50% | |
| Minimal | 77 | 50% | |
| High | 45 | 29.2% | |
| Low and Middle | 109 | 70.8% | |
| Private | 60 | 39% | |
| Mutuelle de sante | 89 | 57.8% | |
| None | 5 | 3.2% | |
| 1 | 48 | 31.2% | |
| >1 | 106 | 68.8% | |
Advanced education level = completed secondary school or university; Minimal education level = no education or completed primary school; High economic status = have both employment and own house; Middle economic class = have either employment or own house; Low economic class = have neither employment nor own house;
Self-medication indications and practice
| Item | Classification | Modern medicines | Traditional |
| Source of advice before deciding to use self-medication | Myself | 54 (53.4%) | 14 (23.7%) |
| Health care provider | 32 (31.7%) | 0 (0%) | |
| Friend/relative | 17 (16.8) | 36 (61.0%) | |
| Internet/media | 5 (5.0%) | 5 (8.5%) | |
| Traditional healer | 1 (1.0%) | 11 (18.6%) | |
| Other | 2 (1.9%) | - | |
| Symptom for which self-medication is given | Fever | 78 (77.2%) | 3 (5.1%) |
| Cough and runny nose | 44 (43.6%) | 16 (27.1%) | |
| Intestinal worms | 15 (14.8%) | 20 (33.8%) | |
| Pain | 6 (5.9%) | 1 (1.7%) | |
| Difficult breathing | 5 (5.0%) | 2 (3.4%) | |
| Diarrhea/vomiting | 5 (5.0%) | 13 (22.0%) | |
| Skin conditions | 3 (3.0%) | 5 (8.5%) | |
| Others | 15 (14.8%) | 17 (28.8%) | |
| Source of medications | Pharmacy | 94 (93.1%) | - |
| Leftover medicine | 15 (14.9%) | - | |
| Health care facility w/o | 5 (5.0%) | - | |
| Shop/store | 1 (1.0%) | - | |
| Relative/friend | 0 (0%) | 5 (8.5%) | |
| Traditional healer | - | 22 (37.3%) | |
| Self-collected herbs /plants | - | 36 (94.7%) | |
| Others | - | 2 (5.2%) | |
| Type of Health care facility consulted in case of self-medication | Private | 47 (46.5%) | 9 (15.3%) |
| Public | 38 (37.6%) | 23 (39.0%) | |
| Traditional healer | 5 (5.0%) | 5 (8.5%) | |
| None | 24 (23.7%) | 26 (44.1%) | |
| Drugs used in self-medication with modern medications | Paracetamol | 73 (72.3%) | - |
| Cough Syrup | 40 (39.6%) | - | |
| Ibuprofen | 29 (28.7%) | - | |
| Antibiotics | 18 (17.8%) | - | |
| Drugs for intestinal worms | 17 (16.8%) | - | |
| Skin preparation | 4 (4%) | - | |
| Oral Rehydration Solution (ORS) | 3 (3%) | - | |
| Others | 15 (14.8%) | - | |
Respondents could choose more than two options.
Reasons of using self-medication – Means of Likert questions
| Modern Medicine (n=101) | Traditional medicine (n=59) | p-value | |||||||
| Disagree | Neutral | Agree | Mean (±SD) | Disagree | Neutral | Agree | Mean (±SD) | ||
| The symptoms of my | 29 (28.8%) | 0 (0%) | 72 (71.2%) | 3.56 (±1.08) | 23 (40%) | 1 (1.7%) | 35 (59.3%) | 3.31 (±1.14) | p=0.164 |
| I can recognize my | 35 (34.7%) | 0 (0%) | 66 (65.3%) | 3.39 (±1.07) | 27 (45.8%) | 0 (0%) | 32(54.2%) | 3.22 (±1.21) | p=0.477 |
| I have used drug | 24 (23.8%) | 1 (1%) | 76 (75.2%) | 3.64 (±1.04) | 24 (40.8%) | 0 (0%) | 35 (59.3%) | 3.31 (±1.22) | p=0.111 |
| I want to give | 13 (12.9%) | 1 (1%) | 87 (86.1%) | 3.83 (±0.81) | 31 (52.6%) | 0 (0%) | 28 (47.4%) | 3.00 (±1.17) | p<0.001 |
| Non-prescription | 27 (26.7%) | 6 (6%) | 68 (67.3%) | 3.37 (±1.02) | 20 (34%) | 3 (5%) | 36 (61%) | 3.27 (±1.04) | p=0.558 |
| Non-prescription | 28 (27.8%) | 4 (4%) | 69 (68.3%) | 3.38 (±1.01) | 22 (37.3%) | 3 (5%) | 34 (57.7%) | 3.24 (±1.10) | p=0.441 |
| - | - | - | 21.2 (±3.25) | - | - | - | 19.3 (±4.38) | p=0.005 | |
| I don't have health | 89 (88.1%) | 0 (0%) | 12 (11.9%) | 2.06 (±1.00) | 51 (86.4%) | 0 (0%) | 8 (13.6%) | 2.14 (±0.99) | p=0.484 |
| Consultations fees are | 88 (87.1%) | 2 (2%) | 11 (10.9%) | 2.06 (±0.83) | 53 (89.8%) | 1 (1.7%) | 5 (8.5%) | 2.08 (±0.81) | p=0.725 |
| I spent lot of time | 60 (59.4%) | 2 (2%) | 39 (38.6%) | 2.84 (±1.18) | 44 (74.6%) | 1 (1.7%) | 14 (23.7%) | 2.53 (±1.04) | p=0.106 |
| The health facility is far | 81 (80.2%) | 0 (0%) | 20 (19.8%) | 2.34 (±0.89) | 54 (91.5%) | 0 (0%) | 5 (8.5%) | 2.14 (±0.60) | p=0.250 |
| I don't have time to go | 71 (70.3%) | 1 (1%) | 29 (28.7%) | 2.53 (±1.11) | 53 (89.8%) | 0 (0%) | 6 (10.2%) | 2.03 (±0.76) | p=0.004 |
| Total barriers score | - | - | - | 11.8 (±3.18) | - | - | - | 10.9 (±2.69) | p=0.028 |
Likert scale: 1=strongly disagree; 2=disagree; 3=neutral;4=agree; 5=strongly agree. P-value: Mann-Whitney U-test Comparison of means
Reason for not using self-medication (n=34)
| Reasons | Disagree | Neutral | Agree | Mean |
| 6 (17.7%) | 1 (2.9%) | 27 | 3.82 | |
| 9 (26.5%) | 3 (8.8%) | 22 | 3.53 | |
| 30 | 0 (0%) | 4 | 2.18 | |
| 33 | 0 (0%) | 1 (2.9%) | 1.94 | |
| 32 | 0 (0%) | 2 (5.9%) | 1.88 | |
| 32 | 1 (2.9%) | 1 (2.9%) | 1.82 | |
| 33 | 0 (0%) | 1 (2.9%) | 1.76 |
Likert scale: 1=strongly disagree; 2=disagree; 3= neutral;4=agree; 5=strongly agree
Social demographic association with use of nonprescription drug
| Use of medication w/o prescription | |||||||
| Yes | No | OR (CI) | P-value | Adjusted OR (CI) | P-value | ||
| N (%) | N (%) | ||||||
| >1 child | 92 (86.8%) | 14 (13.2%) | 4.6 (2.10–10.48) | p<0.001 | 4.74 (1.94–11.58) | p=0.001 | |
| One child | 28 (58.3%) | 20 (41.7%) | |||||
| Kigali | 78 (84.8%) | 14 (15.2%) | 2.65 | p=0.013 | 2.23 (0.91–5.46) | p=0.078 | |
| Outside Kigali | 42 (67.7%) | 20 (32.2%) | |||||
| Private | 44 (86.3%) | 7 (13.7%) | 2.23 | p=0.080 | 1.09 (0.32–3.67) | p=0.886 | |
| Public | 76 (73.8%) | 27 (26.2%) | |||||
| High | 39 (86.6%) | 6 (13.3%) | 2.24 (0.86–5.87) | p=0.094 | 1.79 (0.53–6) | p=0.342 | |
| Low/Moderate | 81 (74.3) | 28 (25.7) | |||||
| >30 | 77 (81.9%) | 17 (18.1%) | 1.79 (0.83–3.86) | p=0.136 | 0.82 (0.32–2.09) | p=0.679 | |
| <30 | 43 (71.7%) | 17 (28.3%) | |||||
| Advanced | 61 (79.2%) | 16 (20.8%) | 1.16 (0.54–2.49) | p=0.699 | NA | NA | |
| Minimal | 59 (76.6%) | 18 (23.4%) | |||||
| Mother | 104 (78.2%) | 29 (21.8%) | 1.12 (0.37–3.31) | p=0.837 | NA | NA | |
| Other | 16 (76.2%) | 5 (23.8%) | |||||
| Married | 113 (77.9%) | 32 (22.1%) | 1.00 (0.20–5.09) | p=0.991 | NA | NA | |
| Single | 7 (77.8%) | 2 (22.2%) | |||||
| Private | 47 (78.3%) | 13 (21.7%) | 1.04 (0.47–2.27) | p=0.922 | NA | NA | |
| Mutuelle de | 73 (77.7%) | 21 (22.3%) | |||||
OR=Odds ratio; AOR=Adjusted Odds Ratio; Multivariate analysis (AOR) undertaken on factors with p-value <0.20
Social demographic association with type of self-medication used(modern vs. traditional)
| Modern only | Traditional only | OR | p-value | Adjusted | p-value | ||
| N (%) | N (%) | ||||||
| Private | 33 (97.1%) | 1 (2.9%) | 21.21 | p<0.001 | 0.61 (0.02–18.16) | p=0.778 | |
| Public | 28 (60.9%) | 18 (39.1%) | |||||
| Advanced | 43 (95.5%) | 2 (4.4%) | 20.3 (4.24–97.12) | p<0.001 | 2.38 (0.24–22.92) | p=0.453 | |
| Minimal | 18 (51.4%) | 17 (48.6%) | |||||
| High | 30 (96.7%) | 1 (3.2%) | 17.41 | p=0.001 | 4.75 (0.32–70.28) | p=0.257 | |
| Low | 32 (63.2) | 18 (36.7) | |||||
| Private | 38 (95%) | 2 (5%) | 14.04 | p<0.001 | 2.78 (0.20–37.44) | p=0.440 | |
| Mutuelle | 23 (57.5%) | 17 (42.5%) | |||||
| >30 | 49 (89.1%) | 6 (10.9%) | 8.84 (2.78–28.08) | p<0.001 | 5.78 (1.25–26.68) | ||
| ≤30 | 12 (48%) | 13 (52%) | |||||
| Kigali | 46 (90.2%) | 5 (9.8%) | 8.5 (2.65–27.82) | p<0.001 | 8.2 (1.58–43.12) | ||
| Outside | 15 (51.7%) | 14 (48.2%) | |||||
| >one | 49 (79%) | 13 (21%) | 1.88 (0.59–5.98) | p=0.281 | NA | NA | |
| One | 12 (66.6%) | 6 (33.3%) | |||||
| Other | 11 (84.6%) | 2 (15.4%) | 1.87 (0.37–9.29) | p=0.442 | NA | NA | |
| Mother | 50 (74.6%) | 17 (25.4%) | |||||
| Married | 59 (76.6%) | 18 (23.4%) | 1.63(0.14–19.14) | p=0.693 | NA | NA | |
| Single | 2 (66.7%) | 1 (33.3%) | |||||
OR=Odds ratio; AOR=Adjusted Odds Ratio; Multivariate analysis (AOR) undertaken on factors with p-value <0.20