Evidence map›Paper›PMID 39354709›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2024

Prevalence and Determinants of Self-Medication Among Pregnant Women at an Antenatal Clinic at Soba Teaching Hospital, Sudan: A Cross-Sectional Analysis.

Malaz M Almubarak, Eiman Eltayeb M Ibrahim, Syed Ahfaz Ali, Wajid Syed, Ayesha Iqbal, Mahmood B Basil A Al-Rawi, Bashir A Yousef

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Article in Medical science monitor : international medical journal of experimental and clinical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Malaz M AlmubarakDepartment of Clinical Pharmacy, Faculty of Pharmacy, University of Khartoum, Khartoum, Sudan.
Eiman Eltayeb M IbrahimDepartment of Clinical Pharmacy, Faculty of Pharmacy, Omdurman Islamic University, Khartoum, Sudan.ORCID 0000-0002-8719-9854
Syed Ahfaz AliDepartment of Pharmacy, MRM College of Pharmacy, Hyderabad, Telangana, India.ORCID 0009-0009-2271-055X
Wajid SyedDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-4077-4524
Ayesha IqbalOffice of Lifelong Learning and the Physician Learning Program, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0001-7282-471X
Mahmood B Basil A Al-RawiDepartment of Optometry, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Bashir A YousefDepartment of Pharmacology, Faculty of Pharmacy, University of Khartoum, Khartoum, Sudan.ORCID 0000-0001-7832-4556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Rates of self-medication among pregnant women are high, due to the promotion of herbal and dietary supplements and lack of awareness of possible adverse effects. This study evaluated self-medication in pregnant women attending an antenatal clinic at Soba Teaching Hospital, Sudan. MATERIAL AND METHODS A quantitative study was conducted using a pre-tested semi-structured interviewer-administered questionnaire, which consisted of 25 questions divided into 4 sections: demographic and obstetric; self-medication source, recommendations, and conditions; most commonly used medications and herbal medicine; reasons for self-medications. A total of 230 pregnant women were included in the study. The chi-square test was used to test associations between variables and the binary logistic regression model was used to evaluate the relationship between self-medication practice and explanatory variables. A P value of <0.05 was deemed significant in the final model. RESULTS Of the 230 pregnant women interviewed, 67% were multigravida, 184 (80%) practiced self-medication, 45.6% used pharmaceutical products, commonly analgesics (32.5%), and 21.9% used herbal remedies, including peppermint (19.4%) and citrus fruits (17.5%). Self-medication was used for nausea (49.5%) and heartburn (46.2%). Reasons for self-medication included belief in safety (40%) and the expense of physician fees (28.1%). Socio-demographic characteristics and the prevalence of self-medication in pregnant women showed no significant associations. CONCLUSIONS The findings from this study showed that the prevalence of self-medication reported by pregnant women attending antenatal clinics in Sudan was high and included approved drugs and herbal medicines, mainly from pharmacies, and was driven by the perception that all medications supplied by pharmacies were safe.

Indexed as

Hospitals, TeachingPrenatal CareSelf MedicationAdolescentAdultCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansPregnancyPregnant PeoplePrevalenceSudanSurveys and QuestionnairesYoung Adult

Identifiers

PMID39354709
PMCPMC11457700

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.