This study aimed to assess the rate and risk factors for OTC medication usage among pregnant women who visited antenatal clinics at selected public health facilities in the Silte Zone, Central Ethiopia. The overall prevalence of using OTC medications was reported to be 55.2%. A similar finding was reported from previous studies in Jimma (Ethiopia), Egypt, South Africa, and Pakistan, where OTC was practiced, which were 51%, 55%, 59.3%, and 55.3%, respectively (25–28). It is, however, less than the results from Harar-Ethiopia, Nigeria, Ghana, the United Kingdom, and the United States, which were 69.4%, 72.4%, 74.1%, 76.4%, and 82.5%, respectively (12, 29–32). Conversely, the obtained results from this study are higher than the findings from Wolaita, Nekemete Referral Hospital, Tigray, Indonesia, the Netherlands, Mexico, the United Arab Emirates, and Italy, which were 14.9%, 21.5%, 40.8%, 11.7%, 12.5%, 21.9%, 40%, and 43.9%, respectively (33–40). The disparities in the rate of OTC medication during pregnancy can be attributed to differences in the sociodemographic characteristics of the participants, the country's prescription drug regulation legislation, cultural beliefs and norms, and accessibility to healthcare provider and services.
Besides, in the current study, OTC medication use was more common among pregnant women who were 35 years of age or older. Our findings are consistent with studies conducted in Iran (20), Nekemete, Ethiopia (34), Indonesia (36), and Italy (40). However, this finding contradicts a study that was carried out in North Wollo (Ethiopia) (41) and Lebanese (42). A possible reason could be that older people may have a history of drug usage, and women who have taken over-the-counter medications in the past may have different drug practises than younger women.
Moreover, the current study's findings showed a significant association between using OTC medications and residing in a rural area. This finding is in accordance with different studies carried out in Iran (20), Jimma (25), Wollo (41), Gojjam (43), northern Uganda (44), and Kenya (45). Pregnant women in rural areas are more likely to take OTC drugs for a variety of reasons, including low awareness, scarce resources, trouble accessing healthcare services, and concerns about high payments.
Likewise, the results of this study showed that not having health insurance raises the likelihood of OTC medicine use. The reported result is consistent with the findings from Iran (20), Jimma (25), Tigray (35), Mizan (46) and, Lebanese (42). The study implies that community-wide community insurance is necessary because uninsured people have a higher rate of OTC medicine use and are unable to visit health care facilities. As insurance covers both visits and prescription drugs, this is done to enhance the likelihood of acquiring a prescription Moreover, compared to women who had more ANC visits, pregnant women in the current study who had fewer visits were more likely to use over-the-counter medication. This finding is consistent with studies from Gojjam (Ethiopia) (43) and Taif (47). This could be because repeated ANC visits to health facilities may enable mothers to have more information regarding unsafe use of OTC drugs during pregnancy. This finding sheds light on the importance of information and care given to women during antenatal clinic visits.
Furthermore, pregnant women were more likely to take OTC drugs if they were less knowledgeable about the potential hazards associated with using them. This is consistent with research done in Addis Ababa (24), Indonesia (36), and Italy (40). This might be likely because those who have knowledge of how to use OTC medications should see a healthcare provider before using them.
Strength of the study
The study's strengths included using the KoboTool box for data collection, choosing appropriate statistical tests and procedures to minimize biases and interpret the data, and obtaining enough samples using probability sampling techniques to properly represent the Silte Zone population.
Limitations of the studyThe study was affected by a number of challenges, including questioning technique variation, recall bias, and social desire bias. However, to address those problems, we neutralized interviewing practices, decreased the recall period, and trained data collectors. Furthermore, every participant gave their informed consent before any data were collected.