Evaluation of Counterfeit Antimalarial Drug Awareness and Knowledge Among Pharmacy Attendants in Nairobi County, Kenya
Keywords:
antimalarials , pharmacy attendants , counterfeit drugs, awareness level, knowledge levelAbstract
Malaria presents a significant health challenge in sub-Saharan Africa, leading to an increased demand for antimalarial drugs. However, the global prevalence of counterfeit drugs, estimated at 10%, jeopardizes treatment efficacy, resulting in an annual economic loss of $75 billion. In Kenya, the accessibility of antimalarials, particularly through pharmacies, exacerbates this issue. This study sought to address knowledge gaps on counterfeit antimalarials among pharmacy attendants in Nairobi County. Utilizing a cross-sectional descriptive survey, the research evaluated awareness levels of counterfeit antimalarial drugs among pharmacy attendants. The study involved five subsections, focusing on pharmacy professionals engaged in antimalarial sales, with a sample size of 251 determined using Cochran’s formula. Data collection methods included questionnaires and observation checklists. Instrument validity was ensured through a pre-test analysis, and reliability was assessed via training and a test-retest approach. Data analysis, performed using Microsoft Excel and SPSS, incorporates ANOVA at a 95% significance level. Surveying 251 pharmacy attendants in Nairobi revealed a slightly higher distribution of males (52.2%) than females (47.8%), primarily aged 18-24 (51%), holding TVET qualifications (60.2%), with an average work experience of four years (30.7%). Community pharmacies dominated (61.8%), and pharmaceutical technologists constituted the most prevalent professionals (29.5%). Artemether-Lumefantrine is the preferred antimalarial (36.7%). Concerning awareness of counterfeit drugs, 39.8% rely on the Pharmacy and Poisons Board, with 72.9% knowledgeable about counterfeit antimalarial effects. The study identifies correlations between knowledge levels and the color and odor of antimalarial drugs. The regression model (R²=0.093, F (3, 247) =8.422, p<0.001) signifies the predictive efficacy of drug characteristics on knowledge, with color and odor emerging as robust predictors. Despite commendable knowledge, there exists a perception gap among pharmacy attendants regarding counterfeit antimalarial drug campaigns and awareness training. Addressing this gap is crucial to preventing an increased distribution of counterfeit drugs in the sector.
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