Evidence map›Paper›PMID 29609618›Full record

ArticleBMC medical education2018

What should the African health workforce know about disasters? Proposed competencies for strengthening public health disaster risk management education in Africa.

Olushayo Olu, Abdulmumini Usman, Kalula Kalambay, Stella Anyangwe, Kuku Voyi, Christopher Garimoi Orach, Aklilu Azazh, Mala Ali Mapatano, Ngoy Nsenga, Lucien Manga and 3 more

Abstract read
In one paragraph

Article in BMC medical education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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  11. Are orthopaedic surgeons prepared? An analysis of severe casualties from the 2021 flash flood and mudslide disaster in Germany.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
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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

13 authors.

Olushayo OluWorld Health Organization, PO Box 1324, Kigali, Rwanda. oluo@who.int.ORCID http://orcid.org/0000-0001-6832-873X
Abdulmumini UsmanWHO Regional Office for Africa (AFRO), Brazzaville, Republic of Congo.
Kalula KalambayInternational Public Health Disaster Risk Management Consultant, Gatineau, Canada.
Stella AnyangweSchool of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.
Kuku VoyiSchool of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.
Christopher Garimoi OrachSchool of Public Health, Makerere University, Kampala, Uganda.
Aklilu AzazhFaculty of Medicine, University of Addis Ababa, Addis Ababa, Ethiopia.
Mala Ali MapatanoSchool of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Ngoy NsengaWHO Regional Office for Africa (AFRO), Brazzaville, Republic of Congo.
Lucien MangaWHO Country Office, Bamako, Mali.
Solomon WoldetsadikWHO Emergency Support Hub, Nairobi, Kenya.
Francois NguessanWHO Regional Office for Africa (AFRO), Brazzaville, Republic of Congo.
Angela BensonInternational Public Health and Disaster Risk Management Consultant, Monrovia, Liberia.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundAs part of efforts to implement the human resources capacity building component of the African Regional Strategy on Disaster Risk Management (DRM) for the health sector, the African Regional Office of the World Health Organization, in collaboration with selected African public health training institutions, followed a multistage process to develop core competencies and curricula for training the African health workforce in public health DRM. In this article, we describe the methods used to develop the competencies, present the identified competencies and training curricula, and propose recommendations for their integration into the public health education curricula of African member states.

methodsWe conducted a pilot research using mixed methods approaches to develop and test the applicability and feasibility of a public health disaster risk management curriculum for training the African health workforce.

resultsWe identified 14 core competencies and 45 sub-competencies/training units grouped into six thematic areas: 1) introduction to DRM; 2) operational effectiveness; 3) effective leadership; 4) preparedness and risk reduction; 5) emergency response and 6) post-disaster health system recovery. These were defined as the skills and knowledge that African health care workers should possess to effectively participate in health DRM activities. To suit the needs of various categories of African health care workers, three levels of training courses are proposed: basic, intermediate, and advanced. The pilot test of the basic course among a cohort of public health practitioners in South Africa demonstrated their relevance.

conclusionsThese competencies compare favourably to the findings of other studies that have assessed public health DRM competencies. They could provide a framework for scaling up the capacity development of African healthcare workers in the area of public health DRM; however further validation of the competencies is required through additional pilot courses and follow up of the trainees to demonstrate outcome and impact of the competencies and curriculum.

Indexed as

CurriculumDisaster PlanningDisastersAfricaCapacity BuildingFeasibility StudiesHealth PersonnelHumansPilot ProjectsProgram DevelopmentPublic HealthRisk ManagementWorld Health OrganizationAfricaCore competenciesDisaster risk managementEducationHealth workforcePublic healthTraining curricula

Identifiers

PMID29609618
PMCPMC5879558

What OpenQuestion holds

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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.