Prevalence, risk factors, and antimicrobial resistance of endemic healthcare-associated infections in Africa: a systematic review and meta-analysis.

Africa Bloodstream Healthcare-associated infection Pneumonia Surgical site infection Urinary tract infection

Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
02 Feb 2024
Historique:
received: 22 07 2023
accepted: 20 01 2024
medline: 2 2 2024
pubmed: 2 2 2024
entrez: 2 2 2024
Statut: epublish

Résumé

Healthcare-associated infections (HCAI) place a significant burden on healthcare systems globally. This systematic review and meta-analysis aimed to investigate the prevalence, risk factors, and aetiologic agents of endemic HCAI in Africa. MEDLINE/PubMed, CINAHL, and Global Health databases (EBSCOhost interface) were searched for studies published in English and French describing HCAI in Africa from 2010 to 2022. We extracted data on prevalence of HCAI, risk factors, aetiologic agents, and associated antimicrobial resistance patterns. We used random-effects models to estimate parameter values with 95% confidence intervals for risk factors associated with HCAI. This study was registered in PROSPERO (CRD42022374559) and followed PRISMA 2020 guidelines. Of 2541 records screened, 92 were included, comprising data from 81,968 patients. Prevalence of HCAI varied between 1.6 and 90.2% with a median of 15% across studies. Heterogeneity (I HCAI is a greater problem in Africa than other regions, however, there remains a paucity of data to guide local action. There is a clear need to develop and validate sustainable HCAI definitions in Africa to support the implementation of routine HCAI surveillance and inform implementation of context appropriate infection prevention and control strategies.

Sections du résumé

BACKGROUND BACKGROUND
Healthcare-associated infections (HCAI) place a significant burden on healthcare systems globally. This systematic review and meta-analysis aimed to investigate the prevalence, risk factors, and aetiologic agents of endemic HCAI in Africa.
METHODS METHODS
MEDLINE/PubMed, CINAHL, and Global Health databases (EBSCOhost interface) were searched for studies published in English and French describing HCAI in Africa from 2010 to 2022. We extracted data on prevalence of HCAI, risk factors, aetiologic agents, and associated antimicrobial resistance patterns. We used random-effects models to estimate parameter values with 95% confidence intervals for risk factors associated with HCAI. This study was registered in PROSPERO (CRD42022374559) and followed PRISMA 2020 guidelines.
RESULTS RESULTS
Of 2541 records screened, 92 were included, comprising data from 81,968 patients. Prevalence of HCAI varied between 1.6 and 90.2% with a median of 15% across studies. Heterogeneity (I
CONCLUSIONS CONCLUSIONS
HCAI is a greater problem in Africa than other regions, however, there remains a paucity of data to guide local action. There is a clear need to develop and validate sustainable HCAI definitions in Africa to support the implementation of routine HCAI surveillance and inform implementation of context appropriate infection prevention and control strategies.

Identifiants

pubmed: 38302895
doi: 10.1186/s12879-024-09038-0
pii: 10.1186/s12879-024-09038-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

158

Subventions

Organisme : NIHR Global Health Professorship
ID : NIHR301627
Organisme : NIHR Global Health Professorship
ID : NIHR301627
Organisme : Wellcome
ID : 223012/Z/21/Z

Informations de copyright

© 2024. The Author(s).

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Auteurs

Gabriel Kambale Bunduki (GK)

Malawi-Liverpool-Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi. gbunduki@mlw.mw.
Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK. gbunduki@mlw.mw.
Centre d'Excellence en Maladies Infectieuses et Soins Critiques du Graben (CEMISoCG), Faculty of Medicine, Université Catholique du Graben, Butembo, Democratic Republic of the Congo. gbunduki@mlw.mw.

Effita Masoamphambe (E)

Malawi-Liverpool-Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.

Tilly Fox (T)

Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.

Janelisa Musaya (J)

Malawi-Liverpool-Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.

Patrick Musicha (P)

Malawi-Liverpool-Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.

Nicholas Feasey (N)

Malawi-Liverpool-Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
School of Medicine, University of St Andrews, St Andrews, UK.

Classifications MeSH