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dc.contributor.authorOlamijuwon, Emmanuel
dc.contributor.authorKonje, Eveline
dc.contributor.authorKansiime, Catherine
dc.contributor.authorKesby, Mike
dc.contributor.authorKeenan, Katherine
dc.contributor.authorNeema, Stella
dc.contributor.authorAsiimwe, Benon
dc.contributor.authorMshana, Stephen E
dc.contributor.authorMushi, Martha F
dc.contributor.authorLoza, Olga
dc.contributor.authorSunday, Benjamin
dc.contributor.authorSandeman, Alison
dc.contributor.authorSloan, Derek J
dc.contributor.authorBenitez-Paez, Fernando
dc.contributor.authorMwanga, Joseph R
dc.contributor.authorSabiiti, Wilber
dc.contributor.authorHolden, Matthew T G
dc.contributor.authorCARE Consortium
dc.date.accessioned2023-02-23T11:30:03Z
dc.date.available2023-02-23T11:30:03Z
dc.date.issued2023-02-11
dc.identifier282672172
dc.identifiera6f5cd8e-a6cb-4344-8ce5-5488735e1c58
dc.identifier36774512
dc.identifier85147834937
dc.identifier.citationOlamijuwon , E , Konje , E , Kansiime , C , Kesby , M , Keenan , K , Neema , S , Asiimwe , B , Mshana , S E , Mushi , M F , Loza , O , Sunday , B , Sandeman , A , Sloan , D J , Benitez-Paez , F , Mwanga , J R , Sabiiti , W , Holden , M T G & CARE Consortium 2023 , ' Antibiotic dispensing practices during COVID-19 and implications for antimicrobial resistance (AMR) : parallel mystery client studies in Uganda and Tanzania ' , Antimicrobial Resistance & Infection Control , vol. 12 , no. 1 , 10 . https://doi.org/10.1186/s13756-022-01199-4en
dc.identifier.issn2047-2994
dc.identifier.otherPubMedCentral: PMC9919751
dc.identifier.otherORCID: /0000-0002-6109-8131/work/130203900
dc.identifier.otherORCID: /0000-0002-7888-5449/work/130204385
dc.identifier.otherORCID: /0000-0002-9670-1607/work/130204419
dc.identifier.otherORCID: /0000-0002-4958-2166/work/130204514
dc.identifier.otherORCID: /0000-0002-4742-2791/work/130204523
dc.identifier.otherORCID: /0000-0001-7789-870X/work/130203879
dc.identifier.otherORCID: /0009-0005-4229-8129/work/151190569
dc.identifier.urihttps://hdl.handle.net/10023/27038
dc.descriptionFunding: CARE: COVID-19 and Antimicrobial Resistance in East Africa—impact and response is a Global Effort on COVID-19 (GECO) Health Research Award (MR/V036157/1) funded by UK Research and Innovation (Medical Research Council) and the Department of Health and Social Care (National Institute for Health Research).en
dc.description.abstractBackground  Over-the-counter antibiotic access is common in low-and-middle-income countries and this may accelerate antimicrobial resistance. Our study explores critical aspects of the drug seller-client interaction and antibiotic dispensing patterns for simulated COVID-19 symptoms during the pandemic in two study sites in Tanzania and Uganda, countries with different government responses to the pandemic. Methods  Research assistants posing as clients approached different types of drug sellers such as pharmacies (Pharms), drug shops (DSs), and accredited drug dispensing outlets (ADDOs) in Mwanza, Tanzania (nPharms =  415, nADDOs = 116) and Mbarara, Uganda (nPharms = 440, nDSs  = 67), from June 10 to July 30, 2021. The mystery clients held no prescription and sought advice for simulated COVID-19 symptoms from the drug sellers. They documented the quality of their interaction with sellers and the type of drugs dispensed. Results  Adherence to COVID-19 preventive measures and vigilance to COVID-19 symptoms was low in both sites but significantly higher in Uganda than in Tanzania. A higher percentage of drug sellers in Mbarara (Pharms = 36%, DSs = 35%, P-value = 0.947) compared to Mwanza (Pharms = 9%, ADDOs = 4%, P-value = 0.112) identified the client's symptoms as possibly COVID-19. More than three-quarters of drug sellers that sold prescription-only medicines in both Mbarara (Pharms = 86%, DSs = 89%) and Mwanza (Pharms = 93%, ADDOs = 97%) did not ask the MCs for a prescription. A relatively high percentage of drug sellers that sold prescription-only medicines in Mwanza (Pharms = 51%, ADDOs = 67%) compared to Mbarara (Pharms = 31%, DSs = 42%) sold a partial course without any hesitation. Of those who sold antibiotics, a higher proportion of drug sellers in Mbarara (Pharms = 73%, DSs = 78%, P-value = 0.580) compared to Mwanza (Pharms = 40% ADDOs = 46%, P-value = 0.537) sold antibiotics relevant for treating secondary bacterial infections in COVID-19 patients. Conclusion  Our study highlights low vigilance towards COVID-19 symptoms, widespread propensity to dispense prescription-only antibiotics without a prescription, and to dispense partial doses of antibiotics. This implies that drug dispensing related to COVID-19 may further drive AMR. Our study also highlights the need for more efforts to improve antibiotic stewardship among drug sellers in response to COVID-19 and to prepare them for future health emergencies.
dc.format.extent14
dc.format.extent2747885
dc.language.isoeng
dc.relation.ispartofAntimicrobial Resistance & Infection Controlen
dc.subjectCOVID-19en
dc.subjectUgandaen
dc.subjectTanzaniaen
dc.subjectDrug saleen
dc.subjectPharmacyen
dc.subjectAntimicrobial resistanceen
dc.subjectMystery clienten
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectRM Therapeutics. Pharmacologyen
dc.subjectNDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectMCCen
dc.subject.lccRA0421en
dc.subject.lccRMen
dc.titleAntibiotic dispensing practices during COVID-19 and implications for antimicrobial resistance (AMR) : parallel mystery client studies in Uganda and Tanzaniaen
dc.typeJournal articleen
dc.contributor.sponsorMedical Research Councilen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Geographies of Sustainability, Society, Inequalities and Possibilitiesen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Infection and Global Health Divisionen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.identifier.doi10.1186/s13756-022-01199-4
dc.description.statusPeer revieweden
dc.identifier.grantnumberMR/V036157/1en


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