The burden of healthcare-associated infection in Ethiopia: a systematic review and meta-analysis

Abstract Background Different primary studies in Ethiopia showed the burden of nosocomial infection across geographical setting and variant period. However, the national level of burden and types of healthcare-associated infections were unknown. Hence, this systematic review and meta-analysis estimated the overall nationwide burden and types of healthcare-associated infections in Ethiopia. Methods We searched PubMed, Science Direct, Google Scholar, African Journal Online, and Addis Ababa University repository by date April 7, 2020. To assess publication bias, Egger’s test regression analysis was applied. Weight-inverse random-effect model meta-analysis was used. Subgroup analysis was conducted based on ward type, study region, study design, sample size and diagnostic method, ward type, and study participants. Results A total of 18 studies with 13,821 patients participated in the overall prevalence estimation. The pooled prevalence of healthcare-associated infection was 16.96% (95% CI 14.10–19.82). Specificall...

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.c.5114778
PID https://www.doi.org/10.6084/m9.figshare.c.5114778.v1
URL https://dx.doi.org/10.6084/m9.figshare.c.5114778.v1
URL https://dx.doi.org/10.6084/m9.figshare.c.5114778
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right not available
Attribution

Description: Authorships and contributors

Field Value
Author Alemu, Abebaw Yeshambel
Author Aklilu Endalamaw
Author Wubet Alebachew Bayih
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite
Hosted By figshare
Publication Date 2020-09-08
Publisher figshare
Additional Info
Field Value
Language Undetermined
Resource Type Dataset
keyword FOS: Mathematics
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Clinical medicine
system:type dataset
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::58942f9a3e986f11e76eb62ddbc3a7cc
Author jsonws_user
Last Updated 15 December 2020, 19:51 (CET)
Created 15 December 2020, 19:51 (CET)