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Understanding mSOS: A qualitative study examining the implementation of a text-messaging outbreak alert system in rural Kenya

Abstract:
Outbreaks of epidemic diseases pose serious public health risks. To overcome the hurdles of sub-optimal disease surveillance reporting from the health facilities to relevant authorities, the Ministry of Health in Kenya piloted mSOS (mobile SMS-based disease outbreak alert system) in 2013–2014. In this paper, we report the results of the qualitative study, which examined factors that influence the performances of mSOS implementation. In-depth interviews were conducted with 11 disease surveillance coordinators and 32 in-charges of rural health facilities that took part in the mSOS intervention. Drawing from the framework analysis, dominant themes that emerged from the interviews are presented. All participants voiced their excitement in using mSOS. The results showed that the technology was well accepted, easy to use, and both health workers and managers unanimously recommended the scale-up of the system despite challenges encountered in the implementation processes. The most challenging components were the context in which mSOS was implemented, including the lack of strong existing structure for continuous support supervision, feedback and response action related to disease surveillance. The study revealed broader health systems issues that should be addressed prior to and during the intervention scale-up.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pone.0179408

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author



Publisher:
Public Library of Science
Journal:
PLoS ONE More from this journal
Volume:
12
Issue:
6
Article number:
e0179408
Publication date:
2017-06-19
Acceptance date:
2017-05-29
DOI:
EISSN:
1932-6203
Pmid:
28628629


Language:
English
Pubs id:
pubs:702262
UUID:
uuid:eea6f50d-7a2f-4c81-a78e-4ba4815cead8
Local pid:
pubs:702262
Source identifiers:
702262
Deposit date:
2018-01-09

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