Evidence map›Paper›PMID 33509138›Full record

ArticleBMC public health2021

Preparedness of health care systems for Ebola outbreak response in Kasese and Rubirizi districts, Western Uganda.

Michael Kibuule, Deogratias Sekimpi, Aggrey Agaba, Abdullah Ali Halage, Michael Jonga, Leonard Manirakiza, Catherine Kansiime, Dominic Travis, Katharine Pelican, Innocent B Rwego

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Michael KibuuleSchool of Public Health, College of Health Sciences, Makerere University, P.O Box 7062, Kampala, Uganda.
Deogratias SekimpiSchool of Public Health, College of Health Sciences, Makerere University, P.O Box 7062, Kampala, Uganda.
Aggrey AgabaAfrica One Health University Network (AFROHUN), 16A Elizabeth Avenue, Kololo, Kampala, Uganda.
Abdullah Ali HalageSchool of Public Health, College of Health Sciences, Makerere University, P.O Box 7062, Kampala, Uganda.
Michael JongaSchool of Public Health, College of Health Sciences, Makerere University, P.O Box 7062, Kampala, Uganda.
Leonard ManirakizaNational Pharmacovigilance Centre, National Drug Authority, Ministry of Health, Kampala, Uganda.
Catherine KansiimeAfrica One Health University Network (AFROHUN), 16A Elizabeth Avenue, Kololo, Kampala, Uganda.
Dominic TravisOne Health Division, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Katharine PelicanOne Health Division, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Innocent B RwegoAfrica One Health University Network (AFROHUN), 16A Elizabeth Avenue, Kololo, Kampala, Uganda. irwego@covab.mak.ac.ug.ORCID 0000-0003-1274-7788
Makerere University · UGUniversity of Minnesota · USMinistry of Health · UG

Funding

International Development Research Center (IDRC) - Canada 107345-001
6 · The paper itself

Abstract

backgroundThe level of preparedness of the health care workers, the health facility and the entire health system determines the magnitude of the impact of an Ebola Virus Disease (EVD) outbreak as demonstrated by the West African Ebola outbreak. The objective of the study was to assess preparedness of the health care facilities and identify appropriate preparedness measures for Ebola outbreak response in Kasese and Rubirizi districts in western Uganda.

methodsA cross sectional descriptive study was conducted by interviewing 189 health care workers using a structured questionnaire and visits to 22 health facilities to determine the level of health care system preparedness to EVD outbreak. District level infrastructure capabilities, existence of health facility logistics and supplies, and health care workers' knowledge of EVD was assessed. EVD Preparedness was assessed on infrastructure and logistical capabilities and the level of knowledge of an individual health work about the etiology, control and prevention of EVD.

resultsTwelve out of the 22 of the health facilities, especially health center III's and IV's, did not have a line budget to respond to EVD when there was a threat of EVD in a nearby country. The majority (n = 13) of the facilities did not have the following: case definition books, rapid response teams and/or committees, burial teams, and simulation drills. There were no personal protective equipment that could be used within 8 h in case of an EVD outbreak in fourteen of the 22 health facilities. All facilities did not have Viral Hemorrhagic Fever (VHF) incident management centers, isolation units, guidelines for burial, and one-meter distance between a health care worker and a patient during triage. Overall, 54% (n = 102) of health care workers (HCWs) did not know the incubation period of EVD. HCWs who had tertiary education (aOR = 5.79; CI = 1.79-18.70; p = 0.003), and were Christian (aOR = 10.47; CI = 1.94-56.4; p = 0.006) were more likely to know about the biology, incubation period, causes and prevention of EVD.

conclusionsFeedback on the level of preparedness for the rural districts helps inform strategies for building capacity of these health centers in terms of infrastructure, logistics and improving knowledge of health care workers.

Indexed as

Hemorrhagic Fever, EbolaCross-Sectional StudiesDelivery of Health CareDisease OutbreaksHumansUgandaDisease outbreak preparednessEbolaHealth care systemsInfection prevention control

Identifiers

PMID33509138
PMCPMC7844941
OpenAlexW3125061961

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.