| Literature DB >> 31370891 |
Mahmood Karimy1, Majed Rezaee-Momtaz2, Mahmoud Tavousi3, Ali Montazeri3, Marzieh Araban4,5.
Abstract
BACKGROUND: Self-medication is a public health concern that may create several problems such as increase in drug resistance, raise in drug use per capita, and creating side effects. This study was conducted to determine predictors of self-medication based on the theory of planned behavior (TPB) among the Iranian women.Entities:
Keywords: Self-medication; Theory of planned behavior; Women
Mesh:
Year: 2019 PMID: 31370891 PMCID: PMC6676788 DOI: 10.1186/s12889-019-7302-3
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
The reasons of self-medication from the perspectives of women
| Reasons for self-medication | Number | (%) |
|---|---|---|
| Considering medications harmless | 146 | 41 |
| Having history of the disease | 128 | 35.5 |
| Medications availability at home or from others | 122 | 34 |
| Easy and no-prescription delivery of medications from pharmacies | 107 | 30 |
| Considering the disease unimportant | 106 | 29 |
| Insistence of others | 91 | 25 |
| Expensive fees of medical appointments | 50 | 14 |
| Distrust of doctors | 42 | 11.6 |
| Having no access to doctors | 33 | 9 |
| Having not enough time for medical appointments | 30 | 8 |
Fig. 1Conditions treated by self-medication practice as stated by women
Binary logistic regression analysis of reasons associated with self-medication
| Behavioral constructs | Self-medication ( | Non-self-medication ( | OR (95% CI) |
|
|---|---|---|---|---|
| Variable | ||||
| Knowledge (mean, SD) | 4.15 ± 1.80 | 7.63 ± 1.57 | 0.57 (0.35–0.94) | 0.03 |
| Attitude (mean, SD) | 21.78 ± 4.25 | 27.41 ± 4.18 | 0.68 (0.51–0.92) | 0.02 |
| Perceived behavioral control (mean, SD) | 9.68 ± 2.37 | 12.04 ± 2.11 | 0.74 (0.60–0.89) | 0.001 |
| Subjective norms (mean, SD) | 11.97 ± 2.01 | 16.21 ± 2.15 | 0.72 (0.58–0.91) | 0.008 |
| Demographical factors | No. (%) | No. (%) | ||
| Age | ||||
| ≤ 19 | 6 (1.6) | 11 (3) | 1.0 (Ref.) | |
| 20–29 | 58 (16.1) | 27 (7.5) | 1.56 (1.18–2.08) | 0.004 |
| 30–39 | 111 (33.3) | 28 (7.7) | 1.94 (1.04–3.79) | 0.041 |
| 40≥ | 101 (25.5) | 18 (5) | 2.21 (1.20–4.20) | 0.01 |
| Place of residence | ||||
| Urban | 12 (3) | 40 (11) | 1.0 (Ref.) | |
| Rural | 264 (73) | 44 (12) | 1.55 (1.15–2.1) | 0.004 |
| Health insurance | ||||
| Yes | 250 (69) | 73 (20) | 1.0 (Ref.) | |
| NO | 26 (7) | 5 (1.3) | 1.41 (1.20–1.87) | 0.001 |
| Education level | ||||
| Higher | 94 (26) | 35 (9.7) | 1.0 (Ref.) | |
| Secondary | 115 (32) | 33 (9) | 1.21 (1.09–1.35) | 0.001 |
| Primary | 62 (17) | 13 (3.6) | 1.25 (1.06–1.27) | 0.003 |
| Illiterate | 5 (1.3) | 3 (0.8) | 1.46 (1.18–1.91) | 0.001 |