User Evaluation Indicates High Quality of the Surveillance Outbreak Response Management and Analysis System (SORMAS) After Field Deployment in Nigeria in 2015 and 2018.
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Tom-Aba, DanielToikkanen, Salla E
Glöckner, Stephan
Adeoye, Olawunmi
Mall, Sabine
Fähnrich, Cindy
Denecke, Kerstin
Benzler, Justus
Kirchner, Göran
Schwarz, Norbert
Poggensee, Gabriele
Silenou, Bernard C
Ameh, Celestine A
Nguku, Patrick
Olubunmi, Ojo
Ihekweazu, Chikwe
Krause, Gérard
Metadata
Show full item recordAbstract
During 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.Citation
Stud Health Technol Inform. 2018;253:233-237.Affiliation
HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.Publisher
IOS PressPubMed ID
30147081Type
ArticleBook chapter
Language
enEISSN
1879-8365The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International
Related articles
- Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa.
- Authors: Fähnrich C, Denecke K, Adeoye OO, Benzler J, Claus H, Kirchner G, Mall S, Richter R, Schapranow MP, Schwarz N, Tom-Aba D, Uflacker M, Poggensee G, Krause G
- Issue date: 2015 Mar 26
- The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment.
- Authors: Tom-Aba D, Silenou BC, Doerrbecker J, Fourie C, Leitner C, Wahnschaffe M, Strysewske M, Arinze CC, Krause G
- Issue date: 2020 Apr 29
- A Novel Tool for Real-time Estimation of Epidemiological Parameters of Communicable Diseases Using Contact-Tracing Data: Development and Deployment.
- Authors: Silenou BC, Verset C, Kaburi BB, Leuci O, Ghozzi S, Duboudin C, Krause G
- Issue date: 2022 May 31
- Contact tracing following outbreak of Ebola virus disease in urban settings in Nigeria.
- Authors: Fawole OI, Dalhat MM, Park M, Hall CD, Nguku PM, Adewuyi PA
- Issue date: 2017
- Use of Surveillance Outbreak Response Management and Analysis System for Human Monkeypox Outbreak, Nigeria, 2017-2019.
- Authors: Silenou BC, Tom-Aba D, Adeoye O, Arinze CC, Oyiri F, Suleman AK, Yinka-Ogunleye A, Dörrbecker J, Ihekweazu C, Krause G
- Issue date: 2020 Feb