Revisão Acesso aberto Revisado por pares

Systematic review of surveillance systems for AMR in Africa

2022; Oxford University Press; Volume: 78; Issue: 1 Linguagem: Inglês

10.1093/jac/dkac342

ISSN

1460-2091

Autores

Obiageli Jovita Okolie, Uzoma Igwe, Sanda Umar Ismail, Leonard Ighodalo Uzairue, Emmanuel Adukwu,

Tópico(s)

Antibiotic Resistance in Bacteria

Resumo

Abstract Aims Surveillance is a useful tool for tracking antimicrobial resistance (AMR) trends, patterns, therapeutic and policy interventions. Proper correlation of surveillance data gives meaningful insight into the underlying epidemiology and facilitates development of rational interventions. This comprehensive review aims to identify, classify and assess gaps in Global Antimicrobial Resistance and Use Surveillance System (GLASS) reporting and national action plan (NAP) implementation in Africa. Methods Articles published in English were searched across five electronic databases (PubMed, Scopus, Embase, AJOL and Cochrane) and grey literature. Articles were screened against inclusion/exclusion criteria and data from eligible studies were retrieved and analysed. This systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) on 31 July 2020 under protocol CRD42020192165. Results Of the 4304 records found, only 32 met the initial inclusion criteria (4 peer reviews and 28 were grey literature). From these records, 41 surveillance systems were identified (30 national and 11 transnational). After final review of reported outcomes, only 23 national surveillance systems met the inclusion criteria. Indicators recorded from these systems shows lack of external quality assessment (EQA) in some systems and limited reporting of parameters such as infection origin, patient population and pathogen types. Conclusions The outcome of the review shows that although AMR surveillance has been implemented in 23 out of the 47 countries in the region, a number of limitations exist in the surveillance methods and reporting protocols that can impair the usefulness, validity and trustworthiness of data generated from these surveillance systems.

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