2018
DOI: 10.1186/s40249-018-0459-7
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Investigating the impact of poverty on colonization and infection with drug-resistant organisms in humans: a systematic review

Abstract: BackgroundPoverty increases the risk of contracting infectious diseases and therefore exposure to antibiotics. Yet there is lacking evidence on the relationship between income and non-income dimensions of poverty and antimicrobial resistance. Investigating such relationship would strengthen antimicrobial stewardship interventions.MethodsA systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Ovid, MEDLINE, EMBASE, Scopus, CINAH… Show more

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Cited by 90 publications
(88 citation statements)
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References 55 publications
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“…A critical knowledge gap is the relative contribution of the social determinants of health to AMR in remote communities. Overseas studies have linked community poverty to AMR and underscored the importance of poor sanitation and access to clean water as drivers of AMR spread . AMR in remote Australian communities will likely continue increasing unless infections are prevented, thus reducing the need for antimicrobial use.…”
Section: The Way Forwardmentioning
confidence: 99%
“…A critical knowledge gap is the relative contribution of the social determinants of health to AMR in remote communities. Overseas studies have linked community poverty to AMR and underscored the importance of poor sanitation and access to clean water as drivers of AMR spread . AMR in remote Australian communities will likely continue increasing unless infections are prevented, thus reducing the need for antimicrobial use.…”
Section: The Way Forwardmentioning
confidence: 99%
“…This economic burden ranged from $21.832 per case to over $3 trillion global loss in gross domestic product (GDP). Another systematic study on poverty and AMR in humans concluded that antimicrobial resistance is interlinked with poverty [ 8 ]. The relationship between poverty and infectious disease is problematic since infectious diseases do not respect socio-economic status.…”
Section: Sdg1 – No Povertymentioning
confidence: 99%
“…Nevertheless, the ndings from this study are useful to uncover the landscape epidemiology of MRS carriage in Australian dogs. Second, the ecological nature of our model could have contributed to a lack of statistical support for the socioeconomic variable which as previously been postulated to be an important factor in antimicrobial resistant bacteria epidemiology, including MRSA (56,57). While SEIFA scores were signi cant at the univariable analysis the fact that the SEIFA scores were available at the postcode level could have contribute to the loss of statistical support due to presence of regression dilution bias (58).…”
Section: Gympie Regional Council Surveillance Strategies Associated mentioning
confidence: 94%