| Literature DB >> 31504036 |
Stephen R Kodish1, Frank Bio2, Rachel Oemcke1, James Conteh2, Jean Max Beauliere3, Solade Pyne-Bailey4, Fabian Rohner1, Ismael Ngnie-Teta3, Mohammad B Jalloh2, James P Wirth1.
Abstract
BACKGROUND: This study sought understand how the 2014-2016 EVD Virus Disease (EVD) outbreak impacted the nutrition sector in Sierra Leone and use findings for improving nutrition responses during future outbreaks of this magnitude.Entities:
Mesh:
Year: 2019 PMID: 31504036 PMCID: PMC6736239 DOI: 10.1371/journal.pntd.0007645
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Semi-structured interview guide content by study phase and type of participant.
| Phase 1 | Phase 2 | |
|---|---|---|
| EVD outbreak impact (general) | EVD outbreak impact (general) | |
| EVD outbreak impact (on organization) | Perceptions of nutrition care to EVD patients | |
| EVD outbreak impact (on health system) | Perceptions of nutrition support to EVD survivors | |
| EVD outbreak impact (on nutrition services within stakeholder organization) | EVD (outbreak, disease, containment) impact on infant and young child feeding | |
| Quality of support for nutritional health | Recommendations and lessons learned | |
| Nutritional support using interim guidelines | ||
| Coordination and information sharing | ||
| Recommendations and lessons learned |
aInterim guidelines provided to countries by the global health organizations to address nutrition care and treatment in the context of EVD [19].
Socio-demographic characteristics of study sample.
| All participant characteristics | |
|---|---|
| No. of participants, n | 42 |
| Female, n (%) | 25 (59.5%) |
| No. of key informants, | 21, (50.0%) |
| Female, | 7 (33.3%) |
| Type of organization, | |
| Government | 9 (42.9%) |
| United Nations | 4 (19.0%) |
| Non-government organizations | 6 (28.6%) |
| Hospital Management | 2 (9.5%) |
| Years spent in professional role, median (min, max) | 6.5 (2–27) |
| No of informants, n (%) | 21 (50.0%) |
| Female, | 18 (85.7%) |
| Type of informant, | |
| Survivor of Ebola Virus Disease | 10 (47.6%) |
| | 5 (23.8%) |
| | 3 (14.3%) |
| | 2 (9.5%) |
| Health worker (medical doctor, nurse, front-line health worker, midwife) | 9 (42.9%) |
| Community leader | 2 (9.5%) |
| Southern Province (Bo) | 10 (23.8%) |
| Eastern Province (Kenema) | 11 (26.2%) |
| Northern Province (Port Loko) | 12 (28.6%) |
| Western Area (Freetown) | 9 (21.4%) |
Fig 1Emergent themes highlighting key EVD impacts along abbreviated food value-chain.
Summary of nutrition-related challenges reported by organizations.
| Nutrition-related challenges reported by organizations | Specific reasons for and examples of primary challenges |
|---|---|
| Primary themes | Secondary themes |
| • Market disruptions from reduced food production and travel restrictions | |
| • High demand & low supply of foods | |
| • Higher food prices | |
| • Low prioritization of nutrition within organizations–money diverted to response activities | |
| • Difficulties delivering food assistance to hard-to-reach, rural communities | |
| • Safety concerns during food delivery to communities | |
| • Travel restrictions limiting people’s movement | |
| • Reduced health-seeking behaviors from less movement and distrust | |
| • Early denial of outbreak and distrust among community |
Comparison of differential perspectives on the same outbreak response.
| Exemplar quotes comparing unique perspectives toward important lessons learned | ||
|---|---|---|
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