| Literature DB >> 33062663 |
Faisel Dula Sema1, Deres Gezahegn Addis2, Eshetie Azezew Melese2, Demeke Dana Nassa2, Zemene Demelash Kifle3.
Abstract
BACKGROUND: Self-medication is being prevalent throughout the globe. Although pregnant women are among the most vulnerable group of the population for drug-induced adverse effects on their fetus and themselves, many pregnant women use self-medication without adequate safety precautions.Entities:
Year: 2020 PMID: 33062663 PMCID: PMC7545459 DOI: 10.1155/2020/2936862
Source DB: PubMed Journal: Int J Reprod Med ISSN: 2314-5757
Sociodemographic information of the respondents at UoGCSH, June 2019.
| Characteristics |
| % | |
|---|---|---|---|
| Age group in years | 18-27 | 193 | 48.2 |
| 28-37 | 199 | 49.8 | |
| >38 | 8 | 2.0 | |
|
| |||
| Marital status | Single | 12 | 3.0 |
| Married | 364 | 91.0 | |
| Divorced | 40 | 5.0 | |
| Widowed | 4 | 1.0 | |
|
| |||
| Occupation | Governmental employed | 125 | 31.3 |
| Self-employee | 106 | 26.5 | |
| Housewife | 126 | 31.5 | |
| Farmer | 23 | 5.8 | |
| Student | 9 | 2.3 | |
| Unemployed | 11 | 2.8 | |
|
| |||
| Monthly income in ETB∗ | <3000 | 159 | 39.8 |
| 3000-6000 | 135 | 33.8 | |
| >6000 | 106 | 26.5 | |
|
| |||
| Education level | Illiterate | 23 | 5.8 |
| Primary school [ | 57 | 14.3 | |
| Secondary school [ | 151 | 37.8 | |
| College/university student | 7 | 1.8 | |
| Diploma/degree | 162 | 40.5 | |
|
| |||
| Religion | Orthodox | 305 | 76.3 |
| Muslim | 80 | 20.0 | |
| Protestant | 14 | 3.5 | |
| Jehovah witness | 1 | 0.3 | |
|
| |||
| Place of residence | Urban | 337 | 84.3 |
| Rural | 63 | 15.8 | |
|
| |||
| Distance from a health facility | <5 km | 237 | 59.3 |
| 5-10 km | 102 | 25.5 | |
| >10 km | 61 | 15.3 | |
∗ETB: Ethiopian birr.
Obstetrics information of the respondents at UoGCSH, June 2019.
| Characteristics |
| % | |
|---|---|---|---|
| Number of gravidae | One | 120 | 30.0 |
| Two | 150 | 37.5 | |
| Three | 93 | 23.3 | |
| ≥Four | 37 | 9.4 | |
|
| |||
| Number of parity | No child | 125 | 31.3 |
| One child | 159 | 39.8 | |
| Two children | 84 | 21.0 | |
| More than two children | 32 | 8.2 | |
|
| |||
| Previous abortion | Yes | 26 | 6.5 |
| No | 374 | 93.5 | |
|
| |||
| Reason for abortion ( | Health problem | 14 | 3.5 |
| Low economic level | 1 | 0.3 | |
| Unwanted pregnancy | 5 | 1.3 | |
| Unspecified | 6 | 1.5 | |
|
| |||
| Stage of pregnancy | First trimester | 11 | 2.8 |
| Second trimester | 89 | 22.3 | |
| Third trimester | 300 | 75.0 | |
Pregnant women's attitude towards self-medication at UoGCSH, June 2019.
| Characteristics |
| % | |
|---|---|---|---|
| Self-medication is important for maternal health | Yes | 35 | 8.8 |
| No | 365 | 91.3 | |
|
| |||
| Self-medication is important for fetal health | Yes | 8 | 2.0 |
| No | 308 | 77.0 | |
| I have no idea | 84 | 21.0 | |
|
| |||
| I believe that the negative effect of self-medication occurs at the Xa week of pregnancy | First trimester | 261 | 65.3 |
| Second trimester | 13 | 3.3 | |
| Third trimester | 4 | 1.0 | |
| I have no idea | 122 | 30.5 | |
|
| |||
| I believe that unusual health problem can occur on the infant(s) due to self-medication use during pregnancy | Yes | 289 | 72.3 |
| No | 13 | 3.3 | |
| I have no idea | 98 | 24.5 | |
aX represents first trimester, second trimester, third trimester, and I have no idea.
Figure 1Self-medication of pregnant women at UoGCSH, June 2019.
Self-medication among pregnant women by conventional medicine at UoGCSH, June 2019.
| Characteristics |
| % | |
|---|---|---|---|
| CM use during the current pregnancy( | Yes | 50 | 12.5 |
| No | 350 | 87.5 | |
|
| |||
| Reasons for CM ( | Easily available | 8 | 16.0 |
| Better knowledge about the disease and the treatment | 5 | 10.0 | |
| Had prior experience on the drug | 26 | 52.0 | |
| Unable to specify the reason | 11 | 22.0 | |
|
| |||
| Ailments for CM ( | Headache | 30 | 60.0 |
| Nausea/vomiting | 3 | 6.0 | |
| Typhoid | 4 | 8.0 | |
| Common cold | 4 | 8.0 | |
| Cough | 8 | 16.0 | |
| Unspecified | 1 | 2.0 | |
|
| |||
| Drugs for CM ( | Paracetamol | 29 | 58.0 |
| Amoxicillin | 8 | 16.0 | |
| Cough syrup | 2 | 4.0 | |
| Hyoscine | 2 | 4.0 | |
| Metronidazole | 4 | 8.0 | |
| I do not know the name of the drug | 5 | 10.0 | |
|
| |||
| Source of information about the drugs ( | From friends | 4 | 8.0 |
| Internet | 3 | 6.0 | |
| Pharmacist/druggist | 37 | 74.0 | |
| Other health professionals | 6 | 12.0 | |
|
| |||
| Where did you get the drugs ( | Neighbors | 4 | 8.0 |
| Private community pharmacies/drug stores | 46 | 92.0 | |
|
| |||
| What did you know about the drugs ( | Dose | 14 | 28.0 |
| Side effect | 8 | 16.0 | |
| No information | 28 | 56.0 | |
|
| |||
| Previous history of self-medication by conventional medicine | Yes | 149 | 37.3 |
| No | 251 | 62.7 | |
∗Some of the pregnant women use both conventional and herbal medications.
Self-medication among pregnant women by using herbal medicine at UoGCSH, June 2019.
| Characteristics |
| % | |
|---|---|---|---|
| HM during the current pregnancy | Yes | 152 | 38.0 |
| No | 248 | 62.0 | |
|
| |||
| Reason for HM use ( | Herbal medicines are effective than conventional medicines | 5 | 3.28 |
| Herbal medicines have fewer side effects | 3 | 1.97 | |
| Herbal medicines have a lower cost | 1 | 0.66 | |
| Herbal medicines are accessible without a prescription | 36 | 23.68 | |
| Unable to specify | 107 | 70.39 | |
|
| |||
| Ailments ( | Headache | 65 | 42.76 |
| Nausea/vomiting | 17 | 11.18 | |
| Typhoid | 1 | 0.66 | |
| Common cold | 67 | 44.08 | |
| Unable to specify | 2 | 1.32 | |
|
| |||
| Types of herb(s) ( | Ginger | 85 | 55.92 |
| Garlic | 2 | 1.31 | |
| Ocimum lamiifolium | 60 | 39.45 | |
| Unable to specify | 5 | 3.28 | |
|
| |||
| Source of information about HM ( | Traditional healers | 2 | 1.32 |
| Health professionals | 6 | 3.95 | |
| Family and friends | 70 | 46.05 | |
| Neighbors | 74 | 48.68 | |
|
| |||
| Where did you get the herbal medicine? ( | Self-preparation | 144 | 94.73 |
| Traditional healers/herbalist | 1 | 0.66 | |
| Traditional birth attendants | 1 | 0.66 | |
| Neighbors | 8 | 3.95 | |
|
| |||
| Previous history of self-medication by herbal medicine | Yes | 200 | 50 |
| No | 200 | 50 | |
(a) Model 1: binary logistic regression analysis of factors associated with self-medication
| Characteristics | Self-medication | COR with 95% CI | AOR with 95% CI |
| ||
|---|---|---|---|---|---|---|
| Yes | No | |||||
| Age group in years | 18-27 | 74 | 119 | 0.604 (0.406, 0.899) | 0.776 (0.474, 1.274) | 0.315 |
| >28 | 105 | 102 | 1.655 (1.112, 2.465) | |||
|
| ||||||
| Monthly income | 0.022 | |||||
| <3000 | 72 | 87 | 1 | 1 | ||
| 3000-6000 | 60 | 97 | 0.74 (0.477, 1.170) | 0.934 (0.547, 1.593) | 0.801 | |
| >6000 | 47 | 37 | 1.535 (0.902, 2.613) | 2.441 (1.197, 4.977) | 0.014 | |
|
| ||||||
| Previous history of self-medication | Yes | 169 | 91 | 24.123 (12.087, 48.223) | 26.816 (13.064, 15,064) | 0.001 |
| No | 10 | 130 | 1 | |||
(b) Model 2: binary logistic regression analysis of factors associated with self-medication with conventional medicine
| Characteristics | SMCM | COR with 95% CI | AOR with 95% CI |
| ||
|---|---|---|---|---|---|---|
| Yes | No | |||||
| Age group in years | 18-27 | 19 | 174 | 0.620 (0.337, 1.139) | 0.589 (0.311, 1.14) | 0.103 |
| >28 | 31 | 176 | 1 | |||
|
| ||||||
| Monthly income | 0.139 | |||||
| <3000 | 25 | 134 | 2.425 (0.953, 6.170) | 2.669 (1.013, 7.035) | 0.047 | |
| 3000-6000 | 19 | 138 | 1.790 (0.686, 4.669) | 2.154 (0.804, 5.771) | 0.127 | |
| >6000 | 6 | 78 | 1 | |||
|
| ||||||
| Previous history of self-medication | Yes | 45 | 215 | 5.651 (2.188, 14.593) | 5.223 (2.007, 13.592) | 0.001 |
| No | 5 | 135 | 1 | |||
(c) Model 3: binary logistic regression analysis of factors associated self-medication with herbal medicine
| Characteristics | SMHM | COR with 95% CI | AOR with 95% CI |
| ||
|---|---|---|---|---|---|---|
| Yes | No | |||||
| Age group in years | 18-27 | 63 | 130 | 0.643 (0.427, 0.966) | 0.870 (0.534, 1.418) | 0.576 |
| >28 | 89 | 118 | 1 | |||
|
| ||||||
| Monthly income | 0.005 | |||||
| <3000 | 60 | 99 | 1 | |||
| 3000-6000 | 49 | 108 | 0.749 (0.470, 1.193) | 0.922 (0.543, 1.566) | 0.763 | |
| >6000 | 43 | 41 | 1.730 (1.014, 2.954) | 2.739 (1.376, 5.452) | 0.004 | |
|
| ||||||
| Previous history of self-medication | Yes | 145 | 115 | 23.957 (10.781, 53.235) | 27.164 (11.913, 61.935) | 0.001 |
| No | 7 | 133 | 1 | |||