| Literature DB >> 23766923 |
Andria Rusk1, Catherine Goodman, Violet Naanyu, Beatrice Koech, Andrew Obala, Wendy Prudhomme O'Meara.
Abstract
Background. The common symptoms of malaria reduce the specificity of clinical diagnosis. Presumptive treatment is conventional but can lead to overdiagnosis of malaria, delay of appropriate treatment, overprescription of antimalarials, and drug resistance. Routine use of diagnostic tests can address many of these concerns. Though treatment is often procured from retailers, there is low availability of rapid diagnostic tests for malaria (MRDTs), a simple, inexpensive, and accurate diagnostic solution. We know little about the challenges to expanding access to diagnostics through these outlets. Methods. To understand the perceptions of the benefits and challenges to selling rapid diagnostic tests for malaria, we conducted focus group discussions with antimalarial retailers who serve the residents of the Webuye Health and Demographic Surveillance Site in western Kenya. Results. Medicine retailers perceived MRDTs to be beneficial to their customers and businesses but also included cost, fear of the tests, risks of self-treatment, and regulatory concerns among the challenges to using and selling MRDTs. Conclusion. MRDTs represent a viable approach to increase access to malaria diagnostic testing. Medicine retailers are eager for MRDTs to be made available to them. However, certain challenges remain to implementation in retail outlets and should be addressed in advance.Entities:
Year: 2013 PMID: 23766923 PMCID: PMC3673453 DOI: 10.1155/2013/398143
Source DB: PubMed Journal: Malar Res Treat
Figure 1Map of study area including numbered boundaries of each focus group catchment area.
Focus group participant data from self-administered questionnaire.
| Peri-urban | Rural | |||||||||
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| FGD 1 | FGD 2 | FGD 3 | FGD 4 | FGD 5 | FGD 6 | Total |
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| Total participants | 5 | 5 | 8 | 10 | 16 | 17 | 61 |
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| Women | 4 | 2 | 5 | 6 | 7 | 12 | 36 |
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| Men | 1 | 3 | 3 | 4 | 9 | 5 | 25 |
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| Age | ||||||||||
| Under 20 | 1 | 0 | 0 | 0 | 1 | 0 | 2 |
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| 21–30 | 1 | 4 | 1 | 4 | 2 | 8 | 20 |
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| 31–40 | 0 | 1 | 4 | 3 | 7 | 5 | 20 |
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| 41–50 | 1 | 0 | 1 | 1 | 2 | 2 | 7 |
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| Over 50 | 1 | 0 | 1 | 1 | 1 | 0 | 4 |
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| Training | ||||||||||
| Pharmacist | 0 | 1 | 1 | 2 | 3 | 4 | 11 |
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| Pharmacy tech | 1 | 1 | 0 | 1 | 2 | 0 | 5 |
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| Pharmacy asst | 1 | 1 | 2 | 0 | 4 | 3 | 11 |
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| Medical doctor | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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| Nurse/midwife | 1 | 0 | 2 | 3 | 5 | 6 | 17 |
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| Clinical officer | 0 | 0 | 0 | 0 | 1 | 1 | 2 |
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| Untrained | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
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| Education | ||||||||||
| Completed primary | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
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| Some secondary | 0 | 0 | 0 | 1 | 1 | 2 | 4 |
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| Completed secondary | 4 | 0 | 6 | 3 | 4 | 8 | 25 |
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| Above secondary | 0 | 3 | 1 | 4 | 11 | 5 | 24 |
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