Literature DB >> 30147081

User Evaluation Indicates High Quality of the Surveillance Outbreak Response Management and Analysis System (SORMAS) After Field Deployment in Nigeria in 2015 and 2018.

Daniel Tom-Aba1, Salla E Toikkanen1, Stephan Glöckner1, Olawunmi Adeoye2, Sabine Mall3, Cindy Fähnrich4, Kerstin Denecke1, Justus Benzler5, Göran Kirchner5, Norbert Schwarz6, Gabriele Poggensee5, Bernard C Silenou1, Celestine A Ameh7, Patrick Nguku7, Ojo Olubunmi2, Chikwe Ihekweazu2, Gérard Krause1.   

Abstract

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.

Entities:  

Keywords:  Africa; disease surveillance; eHealth; infectious disease; mHealth; medical and health informatics; open source; outbreak response; systematic evaluation

Mesh:

Year:  2018        PMID: 30147081

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  Digital contact tracing technologies in epidemics: a rapid review.

Authors:  Andrew Anglemyer; Theresa Hm Moore; Lisa Parker; Timothy Chambers; Alice Grady; Kellia Chiu; Matthew Parry; Magdalena Wilczynska; Ella Flemyng; Lisa Bero
Journal:  Cochrane Database Syst Rev       Date:  2020-08-18

2.  The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment.

Authors:  Daniel Tom-Aba; Bernard Chawo Silenou; Juliane Doerrbecker; Carl Fourie; Carl Leitner; Martin Wahnschaffe; Maté Strysewske; Chinedu Chukwujekwu Arinze; Gerard Krause
Journal:  JMIR Public Health Surveill       Date:  2020-04-29

3.  COVID-19 hot-spot strategy: a special innovation in pandemic response, Oyo State Nigeria.

Authors:  Enya Bassey Bassey; Walter Kazadi Mulomb; Ahmed Mohamed Ahmed Khedr; Rex Gadama Mpazanje; Rosemary Ifeoma Onyibe; Olufunmilola Olawumi Kolude; Oluwadare Marcus; Oluwabukola Alawale; Omotunde Ogunlaja; Adeoluwa Iyanda Oluwatobi; Ayodeji Tella Adedamola; Suliat Olanike Olayiwola; Taiwo Olabode Ladipo
Journal:  BMC Public Health       Date:  2022-02-04       Impact factor: 3.295

4.  Use of Surveillance Outbreak Response Management and Analysis System for Human Monkeypox Outbreak, Nigeria, 2017-2019.

Authors:  Bernard C Silenou; Daniel Tom-Aba; Olawunmi Adeoye; Chinedu C Arinze; Ferdinand Oyiri; Anthony K Suleman; Adesola Yinka-Ogunleye; Juliane Dörrbecker; Chikwe Ihekweazu; Gérard Krause
Journal:  Emerg Infect Dis       Date:  2020-02       Impact factor: 6.883

Review 5.  Availability and Suitability of Digital Health Tools in Africa for Pandemic Control: Scoping Review and Cluster Analysis.

Authors:  Bernard C Silenou; John L Z Nyirenda; Ahmed Zaghloul; Berit Lange; Juliane Doerrbecker; Karl Schenkel; Gérard Krause
Journal:  JMIR Public Health Surveill       Date:  2021-12-23
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.