The Problem of Antimalarial-Drug Abuse by the Inhabitants of Ghana.
Ewa ZielińskiMarek KowalczykKarolina OsowieckaŁukasz KlepackiŁukasz DyśkoKatarzyna WojtysiakPublished in: Medicina (Kaunas, Lithuania) (2023)
Introduction : Malaria is still a huge social and economic health problem in the world. It especially affects the developing countries of Africa. A particular problem is the misuse and abuse of over-the-counter antimalarials. This problem could lead to the emergence of drug-resistant strains and the subsequent elimination of more antimalarials from the list of effective antimalarials in Ghana. Methods : During the implementation of the study, an original questionnaire was used to collect data among Ghanaians on their knowledge of malaria, attitude towards antimalarials and their use of antimalarials. Results : The proportion in the analyzed subgroups was compared using the chi-square test. The analysis was conducted using TIBCO Software Inc., Krakow, Poland (2017) and Statistica (data analysis software system), version 13. In total, 86.29% of respondents knew the symptoms of malaria ( p = 0.02) and 57.2% knew the cause of malaria ( p < 0.001). Respondents with higher education were significantly more likely to know the symptoms of malaria (96%) p < 0.001. In the study group, only 74.59% of the respondents consulted medical personnel before taking the antimalarial drug ( p = 0.51) and only 14.2% of the remaining respondents performed a rapid diagnostic test for malaria. Conclusions : The awareness of Accra and Yendi native inhabitants about the causes and symptoms of malaria and alternative ways of prevention is quite high. People's education very significantly influences the way Accra residents deal with suspected malaria. Widespread public education and awareness and accessibility to places where antimalarial drugs are sold play a very important role in the proper use of antimalarial drugs.
Keyphrases
- plasmodium falciparum
- healthcare
- data analysis
- drug resistant
- mental health
- quality improvement
- escherichia coli
- emergency department
- primary care
- multidrug resistant
- risk assessment
- pulmonary embolism
- electronic health record
- acinetobacter baumannii
- physical activity
- artificial intelligence
- chronic pain
- big data
- health information
- pseudomonas aeruginosa
- psychometric properties
- adverse drug
- deep learning
- machine learning
- sensitive detection