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2018Zeitschriftenartikel DOI: 10.25646/6881
User Evaluation Indicates High Quality of the Surveillance Outbreak Response Management and Analysis System (SORMAS) After Field Deployment in Nigeria in 2015 and 2018
dc.contributor.authorTom-Aba, Daniel
dc.contributor.authorToikkanen, Salla E.
dc.contributor.authorGlöckner, Stephan
dc.contributor.authorAdeoye, Olawunmi
dc.contributor.authorMall, Sabine
dc.contributor.authorFähnrich, Cindy
dc.contributor.authorDenecke, Kerstin
dc.contributor.authorBenzler, Justus
dc.contributor.authorKirchner, Göran
dc.contributor.authorSchwarz, Norbert
dc.contributor.authorPoggensee, Gabriele
dc.contributor.authorSilenou, Bernard C.
dc.contributor.authorAmeh, Celestine A.
dc.contributor.authorNguku, Patrick
dc.contributor.authorOlubunmi, Ojo
dc.contributor.authorIhekweazu, Chikwe
dc.contributor.authorKrause, Gérard
dc.date.accessioned2020-05-19T11:47:14Z
dc.date.available2020-05-19T11:47:14Z
dc.date.issued2018none
dc.identifier.other10.3233/978-1-61499-896-9-233
dc.identifier.urihttp://edoc.rki.de/176904/6787
dc.description.abstractDuring the West African Ebola virus disease outbreak in 2014–15, health agencies had severe challenges with case notification and contact tracing. To overcome these, we developed the Surveillance, Outbreak Response Management and Analysis System (SORMAS). The objective of this study was to measure perceived quality of SORMAS and its change over time. We ran a 4-week-pilot and 8-week-implementation of SORMAS among hospital informants in Kano state, Nigeria in 2015 and 2018 respectively. We carried out surveys after the pilot and implementation asking about usefulness and acceptability. We calculated the proportions of users per answer together with their 95% confidence intervals (CI) and compared whether the 2015 response distributions differed from those from 2018. Total of 31 and 74 hospital informants participated in the survey in 2015 and 2018, respectively. In 2018, 94% (CI: 89–100%) of users indicated that the tool was useful, 92% (CI: 86–98%) would recommend SORMAS to colleagues and 18% (CI: 10–28%) had login difficulties. In 2015, the proportions were 74% (CI: 59–90%), 90% (CI: 80–100%), and 87% (CI: 75–99%) respectively. Results indicate high usefulness and acceptability of SORMAS. We recommend mHealth tools to be evaluated to allow repeated measurements and comparisons between different versions and users.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectmHealtheng
dc.subjecteHealtheng
dc.subjectsystematic evaluationeng
dc.subjectdisease surveillanceeng
dc.subjectoutbreak responseeng
dc.subjectopen sourceeng
dc.subjectAfricaeng
dc.subjectinfectious diseaseeng
dc.subjectmedical and health informaticseng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleUser Evaluation Indicates High Quality of the Surveillance Outbreak Response Management and Analysis System (SORMAS) After Field Deployment in Nigeria in 2015 and 2018none
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:0257-176904/6787-3
dc.identifier.doihttp://dx.doi.org/10.25646/6881
dc.type.versionpublishedVersionnone
local.edoc.container-titleStudies in Health Technology and Informaticsnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttp://ebooks.iospress.nl/volumearticle/50064none
local.edoc.container-publisher-nameIOS Press Ebooksnone
local.edoc.container-volume2018none
local.edoc.container-issue253none
local.edoc.container-year2018none
local.edoc.container-firstpage233none
local.edoc.container-lastpage237none
dc.description.versionPeer Reviewednone

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