| Literature DB >> 32110001 |
Ginenus Fekadu1, Dinka Dugassa1, Getandale Zeleke Negera2, Tilahun Bakala Woyessa3, Ebisa Turi4, Tadesse Tolossa4, Getahun Fetensa5, Lemessa Assefa4, Motuma Getachew4, Tesfaye Shibiru6.
Abstract
BACKGROUND: Even though the type, extent and reasons for self-medication practice (SMP) vary, globally self-medication (SM) is rising to relieve burdens on health services. However, inappropriate SMP results in economic wastes, damage of vital organs, incorrect therapy selection, risk of adverse drug reactions and development of antimicrobial-resistant pathogens. These consequences have severe implications including legal, ethical and quality of health-care delivery. Temporal increment and high prevalence of SM among health professionals is also a major bottleneck for Ethiopia. Hence, the study aimed to assess the SM among health-care professionals (HCPs) in selected governmental hospitals of Western Ethiopia.Entities:
Keywords: Ethiopia; health care professionals; self-medication; self-medication practice
Year: 2020 PMID: 32110001 PMCID: PMC7040189 DOI: 10.2147/PPA.S244163
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Socio-Demographic Characteristics of HCPs in Selected Governmental Hospitals of Western Ethiopia, March 1 to 25, 2018
| Socio-Demographic Characteristics | Frequency (n=338) | Percentage (%) | |
|---|---|---|---|
| Gender | Male | 154 | 45.6% |
| Female | 184 | 54.4% | |
| Marital status | Single | 210 | 62.1% |
| Married | 106 | 31.4% | |
| Widowed | 15 | 4.4% | |
| Divorced | 7 | 2.1% | |
| Age (years) | 20–29 | 172 | 50.9% |
| 30–39 | 115 | 34.0% | |
| ≥40 | 51 | 15.1% | |
| Work experience (years) | <5 | 154 | 45.6% |
| 5–10 | 112 | 33.1% | |
| >10 | 72 | 21.3% | |
| Professional type | Nurse | 168 | 49.7% |
| Pharmacist | 48 | 14.2% | |
| Physicians | 45 | 13.3% | |
| Midwives | 36 | 10.7% | |
| Medical laboratory | 27 | 8.0% | |
| Others* | 14 | 4.1% | |
Notes: Anesthetics, X-ray technician, health officer, sanitarians, VCT counselors.
Reasons for Self-Medication by Participants Who Were Self-Medicated in Selected Governmental Hospitals of Western Ethiopia, March 1 to 25, 2018 (N=248)
| Variables | Frequency (n) | Percentage (%) | |
|---|---|---|---|
| Reason for self-medication | Familiarity with drugs (previous experience of treatment) | 116 | 46.8% |
| Mildness of illness | 101 | 40.7% | |
| Lack of time (time saving) | 77 | 31.0% | |
| Less cost (financial constraint) | 51 | 20.6% | |
| Ease of accessibility | 32 | 12.9% | |
| Privacy | 21 | 8.5% | |
| Getting quick relief | 14 | 5.6% | |
| Others* | 9 | 3.6% | |
Notes: *Lack of interest in medical services, No primary physician nearby, Emergency use.
Illness (Indications) and Medications for SM Reported by Study Participants Who Were Self-Medicated in Selected Governmental Hospitals of Western Ethiopia, March 1 to 25, 2018 (N=248)
| Variables | Frequency (n) | Percentage (%) | |
|---|---|---|---|
| Illness (indications) for self-medication | Headache | 92 | 37.1 |
| Gastric pain (dyspepsia) | 74 | 29.8 | |
| Cough and common cold | 49 | 19.8% | |
| Fever and chill | 47 | 18.9% | |
| Allergy and asthma | 28 | 11.3% | |
| Dysmenorrhea (painful menses) | 19 | 7.6% | |
| Skin problems | 11 | 4.8% | |
| Diarrhea | 9 | 3.6% | |
| Urinary tract infection | 6 | 4.4% | |
| Others* | 11 | 3.6% | |
| Categories of medicines used | Analgesics | 111 | 44.4% |
| Antibiotics | 106 | 42.7% | |
| Anti-ulcer (antacids and proton pump inhibitors) | 74 | 29.8% | |
| Topical applications (antifungal, anti-microbial, anti-histamines and analgesics) | 38 | 15.3% | |
| Corticosteroids | 24 | 9.7 | |
| Oral contraceptive (OC) | 19 | 7.6% | |
| Others** | 9 | 3.6% | |
Notes: *Fungal or microbial infections, constipation, sore throat, eye disease, sore throat. **Anti-helminthes, laxatives, nasal/ear/eye drops.
Factors Influencing SM Among HCPs in Selected Hospitals of Western Ethiopia, March 1 to 25, 2018
| Variables | Self-Medication Practice | COR (95% CI) | AOR (95% CI) | p-value | ||
|---|---|---|---|---|---|---|
| Yes (n=248) | No (n=90) | |||||
| Gender | Female | 147 | 37 | 2.08 (1.41–6.54)* | 2.13 (1.43–8.66)** | 0.003 |
| Male | 101 | 53 | 1 | |||
| Age (years) | 20–29 | 144 | 28 | 3.90 (0.33–12.8)* | 4.53 (1.01–14.45)** | 0.012 |
| 30–39 | 75 | 40 | 1.42 (0.19–6.47) | |||
| >40 | 29 | 22 | 1 | |||
| Marital status | Single | 152 | 58 | 0.98 (0.64–1.53)* | ||
| Widowed/divorced | 16 | 6 | 0.86 (0.41–1.26) | |||
| Married | 80 | 26 | 1 | |||
| Work experience | <5 | 116 | 38 | 2.58 (0.61–11.56)* | 3.01 (1.32–11.71)** | 0.043 |
| 5–10 | 73 | 39 | 1.58(0.38–13.65)* | |||
| >10 | 39 | 33 | 1 | |||
| Profession | Nurse | 117 | 51 | 1.72 (0.11–21.55) | ||
| Pharmacist | 38 | 10 | 2.85 (1.08–9.78)* | |||
| Physicians | 41 | 4 | 8.44 (0.81–21.64)* | |||
| Midwives | 25 | 11 | 2.45 (1.33–4.01) | |||
| Medical laboratory | 19 | 8 | 2.53 (0.60–8.53) | |||
| Others# | 8 | 6 | 1 | |||
Notes: #Anesthetics, X-ray technician, health officer, sanitarians, VCT counselors. * Significantly associated at P-value< 0.25; ** significantly associated at P-value< 0.05.
Abbreviations: AOR, adjusted odds ratio; COR, crude odds ratio; CI, confidence interval.