| Literature DB >> 33603491 |
Solomon Ahmed Mohammed1, Gashaw Tsega2, Abel Demerew Hailu3.
Abstract
INTRODUCTION: Despite self-medication empowers patients in making decisions about the management of minor illnesses independently, the prevalence among health care professionals has sharply increased throughout the world. Self-medication has negative consequences on both the health care professionals themselves and health care delivery. Hence, this study assessed self-medication practices and associated factors among health care professionals at Debre Markos Comprehensive Specialized Hospital.Entities:
Keywords: Ethiopia; health professionals; self-medication
Year: 2021 PMID: 33603491 PMCID: PMC7886097 DOI: 10.2147/DHPS.S290662
Source DB: PubMed Journal: Drug Healthc Patient Saf ISSN: 1179-1365
Socio-Demographic Characteristics of Health Care Professionals at Debre Markos Comprehensive Specialized Hospital, 2020 (N=227)
| Characteristics | Frequency | Percent (%) | |
|---|---|---|---|
| Gender | Male | 141 | 62.1 |
| Female | 86 | 37.9 | |
| Age (year) | <30 | 106 | 46.7 |
| 30–40 | 105 | 46.3 | |
| >40 | 16 | 7 | |
| Marital status | Single | 82 | 36.1 |
| Married | 145 | 63.9 | |
| Educational level | Diploma | 75 | 33 |
| Degree | 137 | 60.4 | |
| Specialization | 15 | 6.6 | |
| Profession | Doctor | 27 | 11.9 |
| Nurse | 113 | 49.8 | |
| Pharmacy | 20 | 8.8 | |
| Midwifery | 21 | 9.3 | |
| Other* | 46 | 20.2 | |
| Work experience (Years) | <5 | 82 | 36.1 |
| 5–10 | 119 | 52.4 | |
| >10 | 26 | 11.5 | |
| Income | <5000 Ethiopian birr | 12 | 5.3 |
| 5001–10,000 Ethiopian birr | 209 | 92.1 | |
| >10,000 Ethiopian birr | 6 | 2.6 | |
Note: Other*: Medical laboratory, radiography, anesthesia, environmental health, health officer.
Figure 1Self-medicated disease conditions among health professionals at Debre Markos Comprehensive Specialized Hospital (N=164).
Figure 2Type of medicines used among health professionals at Debre Markos Comprehensive Specialized Hospital, 2020 (N=164).
Reasons for Self-Medication Among Health Professionals at Debre Markos Comprehensive Specialized Hospital (N=164)
| Reasons for Self-Medication | Number | Percentage |
|---|---|---|
| Emergency use | 90 | 54.9 |
| Illness was mild/not serious | 128 | 78 |
| Less expensive | 74 | 45.1 |
| Saves time | 124 | 75.6 |
| Prior experience | 89 | 54.3 |
| Ease of access | 97 | 59.1 |
| Peer influence | 26 | 15.9 |
| Stressful conditions | 38 | 23.2 |
| Privacy | 78 | 47.6 |
| Familiarity with drugs | 87 | 53 |
| Lack of interest in medical services | 60 | 36.6 |
| No primary physician nearby | 34 | 20.7 |
Consequences of Self-Medication Among Health Professionals at Debre Markos Comprehensive Specialized Hospital (N=107)
| Consequences of Self-Medication | Number | Percentage | |
|---|---|---|---|
| Improper practice of self-medication has negative consequences | 107 | 65.2 | |
| Consequences of self-medication | Drug dependency | 88 | 82.2 |
| Drug resistance | 96 | 89.7 | |
| Adverse drug reactions | 95 | 88.8 | |
| Worsening of the disease condition | 81 | 75.7 | |
Factors Associated with Self-Medication Among Health Care Professionals at Debre Markos Comprehensive Specialized Hospital
| Variables | Self-Medication | (COR, 95% CI), P value | (AOR, 95% CI), P value | |
|---|---|---|---|---|
| Yes n(%) | No n(%) | |||
| Gender | ||||
| Male | 108(76.6) | 33(23.4) | 1.75(0.97–3.16),0.06 | 1.40(0.72–2.73),0.31 |
| Female | 56(65.1) | 30(34.9) | 1.00 | 1.00 |
| Age (year) | ||||
| <30 | 72(67.9) | 34(32.1) | 0.30(0.06–1.40),0.12 | 0.33(0.05–2.25),0.26 |
| 30–40 | 78(74.3) | 27(25.7) | 0.41(0.08–1.93),0.24 | 0.49(0.07–3.14),0.45 |
| >40 | 14(87.5) | 2(12.5) | 1.00 | 1.00 |
| Marital status | ||||
| Single | 63(76.8) | 19(23.2) | 1.44(0.77–2.69),0.24 | 1.65(0.81–3.35),0.16 |
| Married | 101(69.7) | 44(30.3) | 1.00 | 1.00 |
| Educational level | ||||
| Diploma | 51(68.0) | 24(32.0) | 0.15(0.01–1.22),0.07 | 0.14(0.01–1.51),0.10 |
| Degree | 99(72.3) | 38(27.7) | 0.18(0.02–1.16),0.11 | 0.16(0.01–1.68),0.12 |
| Specialization | 14(93.3) | 1(6.7) | 1.00 | 1.00 |
| Profession | ||||
| Doctor | 22(81.5) | 5(18.9) | 1.73(0.54–5.55),0.15 | 2.23(0.57–8.67),0.24 |
| Nurse | 73(64.6) | 40(35.4) | 0.71(0.34–1.52),0.18 | 0.97(0.43–2.19),0.94 |
| Pharmacy | 19(95.0) | 1(5.0) | 7.48(0.90–61.78),0.06 | 11.88(1.38–102.38),0.02 |
| Midwifery | 17(81.0) | 4(19.0) | 1.67(0.47–5.92),0.15 | 2.21(0.57–8.51),0.24 |
| Other* | 33(71.7) | 13(28.3) | 1.00 | 1.00 |
| Work experience | ||||
| <5 years | 59(72.0) | 23(28.0) | 0.61(0.20–1.81),0.17 | 0.52(0.12–2.24),0.38 |
| 5–10 years | 84(70.6) | 35(29.4) | 0.57(0.20–1.63),0.23 | 0.74(0.19–2.74),0.65 |
| >10 years | 21(80.8) | 5(19.2) | 1.00 | 1.00 |
| Income | ||||
| <5000 Ethiopian birr | 8(66.7) | 4(33.3) | 0.40(0.03–4.68),0.22 | 3.12(0.14–67.92),0.46 |
| 5001–10,000 Ethiopian birr | 151(72.2) | 58(27.8) | 0.52(0.06–4.56),0.22 | 2.71(0.18–39.16),0.46 |
| >10,000 Ethiopian birr | 5(83.3) | 1(16.7) | 1.00 | 1.00 |
Note: Other*: Medical laboratory, radiography, anesthesia, environmental health, health officer.
Abbreviations: COR, crude odds ratio; AOR, adjusted odds ratio; CI, confidence interval; n, number; %, percentage.